Electrolytic Iron Production from Alkaline Bauxite Residue Slurries at Low Temperatures

Johnson Matthey Technol. Rev., 2021, 65, (3), 366

1. Introduction

At present, primary iron metal is commonly produced through the CO2 intensive carbothermic reduction of iron oxides in blast furnaces at a temperature of around 1600°C. Since carbon is used as both reducing agent and fuel for the process, blast furnace pig-iron cannot eliminate its CO2 emissions. Therefore, in recent years, carbon-free electrochemical processes have been widely investigated as potential green alternative routes for the production of iron and iron-base alloys (14) (assuming renewable electricity).

A large project that has been focused on alternative ways of producing iron was Ultra Low CO2 in Steelmaking (ULCOS) in which new smelting reduction concepts were studied. The ULCOWIN electrolytic production of iron from suspensions of iron oxide particles in a highly concentrated sodium hydroxide solution at 110°C was demonstrated at laboratory scale. It has been shown that the iron particles are reduced in the solid state, which differs from the conventional electrowinning processes where the metal is deposited through the reduction of dissolved metal cations. Previous works with this process achieved high Faradaic yield (80–95%) (14).

Based on the above-mentioned studies, the technology for alkaline pulp iron electrowinning is being studied for the first time from a secondary mineral source, namely bauxite residue from the alumina refining industry. This technique is referred to in the SIDERWIN project (5), which aims among others to produce iron from alternative low-grade iron sources, currently incompatible with the conventional steel making processes.

Bauxite ore is treated within the Bayer process to produce metallurgical grade alumina which is the raw material for aluminium production. Bauxite ore depending on its origin contains 40–60% alumina and the rest is a mixture of iron (20–30%), silicon and titanium oxides. When bauxite ore is treated with caustic soda, the aluminium hydroxides or oxides contained within are solubilised, with approximately 50% of the bauxite mass being transferred to the liquid phase, while the remaining solid fraction constitutes the bauxite residue, often termed as ‘red mud’ due to its colour. Depending on the grade of the bauxite ore used, bauxite residue, on a dry basis, is produced from 0.9 to 1.5 mass ratio to the alumina product (6). The high volume and alkalinity of this byproduct make its valorisation a major challenge worldwide (7).

Bauxite residue is an untapped secondary raw material source considering the presence of valuable substances such as iron (30–45 wt%), aluminium (15–25 wt%), silicon, calcium, titanium and sodium oxides as well as smaller concentrations of critical or industrially important elements such as rare earth elements (REEs) (mainly cerium, lanthanum, scandium, yttrium and neodymium), vanadium, chromium and others (6). The recovery of the major metals from bauxite residue has never yet been implemented while a lot of processes have been proposed. Despite the laboratory-scale success of much of the work so far, currently the industrial utilisation of bauxite residue is estimated at just 2–4 million tonnes, accounting for less than 3% of the annual bauxite residue production (8).

The main constituent of bauxite residue is iron oxide and it can make up to 45% of the mass of the bauxite residue. In fact, the red colour of bauxite residue is caused by iron(III) oxides (mostly haematite, Fe2O3) (9). In general, due to its high alkaline (Na2O ≈ 10%) and its titanium (TiO2 ≈ 4–15%) content, bauxite residue is not suitable for use as an iron ore substitute in blast furnaces.

Bauxite residue reductive smelting processes can be applied by several technologies (Corex, Finex®, HIsmelt, Romelt, AusIron and electric arc furnace (EAF)) for the production of pig iron (10, 11). So far, two methods have been applied at pilot scale for bauxite residue reductive smelting: the Romelt method (12) and the EAF (1316). The Moscow Institute of Steel and Alloys (MISA) (Russia), with National Aluminium Company Ltd (NALCO) and the joint venture company Romelt-Steel Authority of India Ltd (RSIL) (India), studied the pyrometallurgical process of bauxite residues using the Romelt method (12). The advantage of this method is that materials can be used with moisture levels of up to 10 wt%. The main disadvantage is the high energy consumption and the poor quality of pig iron with a high concentration of sulfur and phosphorus (10). In EAF reductive smelting, a mixture of bauxite residue, carbon and fluxes is treated at 1500–1700°C to form pig iron with higher than 95% iron recovery (6, 13, 17). Recovery of residual iron can be further improved by later magnetic separation in slag dust (18). Post-melting slag can be used to produce rockwool or building materials (6, 19) and for the recovery of non-ferrous metals and REE (9, 18, 20, 21). However, such methods have not been industrialised as they are not competitive to established iron and steel making processes.

The present paper describes a highly promising electrochemical method for sustainably extracting the iron from bauxite residue, in an alkaline environment, which is in-tune with the alkaline environment of the Bayer process.

2. Materials and Methods

The process is conducted in an electrolysis cell consisting of a borosilicate glass beaker (250 ml) closed with a specially configured cylindrical silicon bung (45 cm diameter). The experimental apparatus is shown in Figure 1.

Fig. 1.

Electrolysis experimental apparatus

Electrolysis experimental apparatus

A three-electrode configuration was used; the cathode was a rectangular shaped stainless steel V2A plate (110 mm height, 10 mm length, 1 mm width), the anodes were two rectangular shaped nickel plates (100 mm height, 10 mm length, 2 mm width). All electrodes were centred according to the silicon bung’s cylindrical axis in specially configured holes so that the electrodes were in certain positions and at fixed distance to each other. The working electrode’s surface area that was immersed in the solution was defined to be 8 cm2. The reference electrode that was used was a commercial Hg | HgO | NaOH (1 M) electrode (RE-61AP, ALS Co Ltd, Japan) which was immersed in a distinct glass.

Bauxite residue was supplied by MYTILINEOS-Aluminium of Greece. Samples were solubilised via fusion method according to which a quantity of bauxite residue remained at 1000°C for 1 h with a mixture of Li2B4O7/KNO3 followed by direct dissolution in 6.5% nitric acid solution. Chemical analysis was performed by atomic absorption spectroscopy (AAS) with the use of a PerkinElmer 2100 atomic absorption spectrometer. The chemical analysis of the samples used in this study is shown in Table I. The chemical analysis showed that Fe2O3 is the main content of bauxite residue.

Table I

Bauxite Residue Chemical Analysis

Fe2O3 Al2O3 SiO2 TiO2 CaO Na2O Loss on ignition (LOI)
wt% 44.77 18.75 6.69 6.65 9.77 2.93 9.17

Mineralogical analysis of bauxite residue (Figure 2) showed that the main iron oxide phase is haematite while a small amount of goethite also exists. The haematite to goethite mass ratio in bauxite residue is 4.2 (22).

Fig. 2.

Bauxite residue mineralogical analysis

Bauxite residue mineralogical analysis

Prior to each experiment, the stainless-steel cathode and the nickel anodes were polished with sandpaper and were rinsed with demineralised water. Furthermore, the cathode was weighed. The electrolyte was a 50 wt% NaOH aqueous solution corresponding to molarity of 25 mol kg–1, to which was added 10 wt% bauxite residue solid particles. Typically, a mixture of 152.4 g solid NaOH with purity higher than 99% (CHEM-LAB NV, Belgium) and 152.4 g demineralised water were mixed under stirring for about 30 min. After the electrolyte’s homogenisation, 33.9 g of bauxite residue were slowly added to the solution within 5 min.

The slurry temperature was measured via a probe that was wrapped in a polytetrafluoroethylene (PTFE) shrink tubing to avoid current leakage. The slurry was stirred using a 1 cm ringed cylindrical magnetic bar and magnetic hot plate (IKA® RCT basic, IKA Works Inc, USA) at a rotational speed of 500 rpm to keep bauxite residue particles suspended. The small size of the magnetic bar was chosen to minimise the attraction of magnetite particles to the stirrer. The cathode, the anodes and the reference electrode were connected via their respective terminal to a potentiostat (SourceMeter® 2461 Series, Keithley, Tektronix Inc, USA).

Cyclic voltammetry and electrolysis tests, under chronopotentiometry mode, were performed in a three electrode cell connected to a potentiostat (2461 Series, Keithley) and the obtained experimental data were analysed. Regarding cyclic voltammetry, it should be noted that both working and counter electrode were platinum wires while the reference electrode was the above mentioned Hg/HgO commercial electrode.

Electrolysis tests were performed under galvanostatic mode. The duration of the experiment was 2 h. After the end of each experiment, the cathode was thoroughly rinsed with distilled water in order to remove the remaining electrolyte, and was dried at 100°C for 24 h, before being weighed. The difference between the mass of the cathode prior to and after the end of electrolysis was considered as the mass of the deposit. This value was used to deduce the current efficiency according to Faradaic law.

2.1 Determination of Metallic Iron

According to previous studies, the haematite reduction mechanism to form metallic iron on the cathode has magnetite as an intermediate product (2). For that reason, a quantitative determination of the deposit took place to identify the percentages of both metallic iron and magnetite phases.

The principle of the method is based on the selective dissolution of metallic iron from a 2% bromine solution in ethanol in a mixture with its oxides. According to the procedure, 100 ml of bromine (Acros OrganicsTM, Thermo Fisher Scientific, USA) solution 2% in ethanol (EMSURE®, Merck, Germany) was prepared and 0.2 g of sample powder was added in a 250 ml conical flask. The solution was let to stir at ambient temperature for 90 min and then filtered using a 47 mm diameter glass fibre filter (Whatman®, Cytiva, USA) (23). The resulting solution was titrated into a 500 ml flask with deionised water. Finally, the solution was diluted and measured in an atomic absorption spectrometer (PerkinElmer 2100).

3. Results

3.1 Cyclic Voltammetry

A voltammogram of bauxite residue (10 wt%) with 50 wt% NaOH solution at 110°C and scan rate 100 mV s–1 is shown in Figure 3. Iron oxide from bauxite residue (mainly haematite) is reduced to metallic iron in the region of cathodic potentials from –1.2 V to –1.4 V with a peak at –1.36 V. Hydrogen evolves at more negative potentials lower than –1.4 V. The plateau observed at cathodic potentials between –1.0 V and –1.2 V is attributed to reduction of haematite to magnetite which is always taking place in the system under study as is seen in Raman spectra of a typical deposit in Figure 4. The peak observed at anodic scanning at about –0.7 V is attributed to the reversible oxidation of iron.

Fig. 3.

Cyclic voltammetry in pulps of bauxite residue (10 wt%) in 50 wt% NaOH solution at 110°C and 100 mV s–1

Cyclic voltammetry in pulps of bauxite residue (10 wt%) in 50 wt% NaOH solution at 110°C and 100 mV s–1

Fig. 4.

Raman spectra of cathodic deposit

Raman spectra of cathodic deposit

The electrochemical reactivity of the iron oxides of bauxite residue was evaluated by galvanostatic electrolytic experiments. The parameters that were tested were current density and slurry temperature.

3.2 Effect of Current density

Galvanostatic experiments were performed in different applied currents (62.5 A m–2, 156.3 A m–2, 312.5 A m–2, 625 A m–2, 937.5 A m–2, 1250 A m–2) while all other factors remained constant (50 wt% NaOH, 10 wt% bauxite residue, temperature 110°C and stirring rate 500 rpm). The open circuit potential between the working electrode and the reference electrode was –0.968 V.

The cathodic potential vs. Hg/HgO is shown in Figure 5. As expected, the increase of the applied current results in more negative values of cathodic potential indicating more intense reductive conditions at the cathode. The applied currents between 62.5 A m–2 and 312.5 A m–2 gave constant cathodic potential values for the whole duration of electrolysis tests in the range of –1.2 V to –1.4 V which coincide fully with the region of haematite reduction to metallic iron as shown in the voltammogram of Figure 3. Applied current densities higher than 312.5 A m–2 push the cathodic potential towards the hydrogen evolution region (<1.4 V) as seen in Figure 3. In all experiments the cathodic potential was lower than the open circuit potential and therefore the cathodic material was stable and not corroded.

Fig. 5.

Cathodic potentials during galvanostatic experiment at different current densities (A m–2)

Cathodic potentials during galvanostatic experiment at different current densities (A m–2)

The calculated Faradaic efficiency for each experiment, taking into account the purity of metallic iron in the deposit that was determined to be 89–91% in all experiments, is shown in Table II. Particles of magnetite which are formed by the reduction of haematite appeared as impurities on the cathode surface. In conclusion, the metallic iron produced is extremely pure and the only processing needed is a melting process to produce pure iron ingots.

Table II

Current Efficiency of Galvanostatic Experiments for the Investigation of the Applied Current Effect

Current density, A m–2 Current efficiency, %
62.5 48.48
156.25 48.84
312.5 41.19
625 25.28
937.5 35.14
1250 33.74

As seen, the lower the applied current, the higher the Faradaic efficiency. The lowest applied currents in the region of 62.5 A m–2 to 312.5 A m–2 gave the highest current efficiencies which were very close to 50%. Even this current efficiency is very low indicating the strong presence of parallel unwanted cathodic reactions such as the hydrogen evolution reaction as well as unavoidable cathodic reactions such as the reduction of haematite to magnetite that is always taking place in this system. The intense hydrogen evolution even at the lowest applied currents where the measured cathodic potentials was higher than that of hydrogen reduction indicates a cathode with non-uniform potential. This is reasonable because the cathode is covered by electroactive haematite particles as well as non-electroactive particles coming from the bauxite residue. The electroactive species are the iron oxides haematite and goethite and the non-electroactive particles are all the other phases in bauxite residue such as diaspore, cancrinite, calcite, hydrogarnet, perovskite, gibbsite, boehmite and anatase. Therefore, the current distribution on cathode is non-uniform giving rise to areas with charge accumulation (located where the non-electroactive species are concentrated) and thus more negative potential in relation to the other areas where the electroactive haematite particles are located.

3.3 Effect of Temperature

The temperature effect was studied in the range 70–135°C while the other electrolysis parameters were kept constant (50 wt% NaOH, 10 wt% bauxite residue and stirring rate 500 rpm). The applied current density was selected to be 156.3 A m–2 as this value resulted in the highest Faradaic yield (48.84%) in the previous experimental series. The cathodic potentials vs. Hg/HgO are shown in Figure 6. As seen, the cathodic potentials within the whole duration of all electrolysis experiments remained in the region from –1.2 V to –1.4 V which coincides with the region where the haematite is reduced to metallic iron (Figure 3). In addition, there is a tendency for less negative cathodic potentials (milder reductive conditions) as the process temperature increases. The calculated Faradaic efficiencies are shown in Table III. The increase of temperature from 70°C to 130°C resulted in a steady almost linear increase of Faradaic efficiency from 11.23% to 71.58%. Step-up temperature to 135°C caused a slight decrease in current efficiency to 59.76% which is still higher than that at 120°C.

Fig. 6.

Cathodic potentials during galvanostatic experiment at different pulp temperatures (°C)

Cathodic potentials during galvanostatic experiment at different pulp temperatures (°C)

Table III

Current Efficiency of Galvanostatic Experiments for the Investigation of Pulp’s Temperature Effect

Temperature, °C Current efficiency, %
70 11.23
90 24.48
110 48.84
120 54.94
130 71.58
135 59.76

As mentioned above, the cathode surface is covered with electroactive and non-electroactive particles coming from the bauxite residue. The electroactive particles are strongly attached to the cathode surface due to their partial reduction to metallic iron while the non-electroactive particles are loosely attached. The temperature increase causes an increase in the rate of heterogeneous nucleation of water bubbles on the particles’ surface due to vapour pressure increase. Therefore, the probability of removing the loosely attached non-electroactive particles from the cathode surface increases and thus the probability of replacing the non-electroactive with electroactive ones increases. At higher temperatures the percent coverage of the cathode with electroactive species increases and thus the Faradaic efficiency increases. At temperatures close to the boiling point of 50 wt% NaOH solution (that is 143°C), the water bubbling is so intense that the electroactive particles also start to detach from the cathode surface and therefore decrease the Faradaic efficiency. A compromise is achieved at an intermediate temperature which in this case is 130°C.

In any case, the Faradaic efficiencies achieved during the bauxite residue pulp electrolysis are substantially lower than those achieved in iron ore pulp electrolysis (3) where the cathode is uniformly covered by only electroactive particles.

4. Conclusions

The present work has demonstrated the possibility to electrochemically reduce iron from bauxite residue in alkaline pulps. The process temperature proved to be the most crucial parameter that substantially affects the Faradaic process efficiency. At the current level of process development, a Faradaic efficiency of 71.58% was achieved at pulp density of 10 wt% bauxite residue in a 50 wt% NaOH solution at 130°C. The applied current has to create a cathodic potential higher than –1.4 V vs. Hg/HgO (in 1 M NaOH) in order to avoid the hydrogen evolution which takes place at cathodic potentials lower than –1.4 V.

The cathode in the case of bauxite residue pulps electrolysis is not uniformly covered by electroactive iron oxide particles (mainly haematite) and therefore there is not a uniform cathodic potential on the whole cathode surface. This affects the current efficiency of the process which is always substantially lower than that observed in pure haematite ore electrolysis.

Bauxite residue is produced as a byproduct of the Bayer process, an alkaline leaching process taking place at temperatures 120–250°C. Therefore, the present process has great potential for integration in the established Bayer process as a symbiotic step to valorise the (currently wasted) iron portion of the bauxite ore.

Acknowledgements

The research leading to these results has received funding from the European Union H2020 SIDERWIN project under the Grant Agreement no. 768788.

The Authors


Sevasti Koutsoupa studied Mining and Metallurgical engineering at National Technical University of Athens, Greece, and currently she is a PhD candidate in the School of Mining and Metallurgical Engineering on the topic of “Iron oxide Electrowinning from Bauxite Residue”. Currently she is involved in the research of SIDERWIN and SCALE projects.


Stavroula Koutalidi is a Chemical Engineer from the National Technical University of Athens. She obtained a Master of Science in Industrial Pharmacy from the National Kapodistrian University of Athens. She is currently a senior researcher in the School of Mining and Metallurgical Engineering in the field of Electrometallurgy and she is involved with SIDERWIN and SCALE projects.


Evangelos Bourbos is a graduate of the Chemical Engineering Department of the National Technical University of Athens. He obtained a Master of Science, for which he received an award from the Limmat foundation, in Protection of Monuments, Sites and Complexes with emphasis in Conservation Interventions: Techniques and Materials directed by the School of Architecture Engineering of the National Technical University of Athens. He is a PhD candidate in the School of Mining and Metallurgical Engineering in the field of electrometallurgy under the topic of “Electrorecovery of Rare Earth Metals from Low Temperature Electrolytes as an Alternative to Molten Salts Electrolysis”. He has worked as a researcher in one national and three European projects (EURARE, SCALE, SIDERWIN) over the past six years. He has four scientific publications in peer reviewed scientific journals and books and has also actively participated in various international and European conferences and training courses. He is currently working for Titan Cement SA.


Efthymios Balomenos studied Mining and Metallurgical engineering at National Technical University of Athens and received his PhD degree in thermodynamics in the same school in 2006. Since 2008 he has been working in the Laboratory of Metallurgy as a postdoctoral researcher focusing on sustainable process development, CO2 mitigation strategies, exergy analysis and resource utilisation efficiency. He was involved in the research management of the ENEXAL and EURARE projects and is involved in the ongoing SCALE, ENSUREAL, REMOVAL, SIDERWIN, BIORECOVER and AlSiCaL research projects. He has more than 40 research publications in journals and conference proceedings with more than 170 citation and an h-index of 8. Since 2015 he is also working for MYTILINEOS SA Metallurgy Business Unit, focusing on promoting sustainable solutions for the valorisation of bauxite residue.


Dimitrios Panias is a metallurgical engineer. He graduated from the School of Mining and Metallurgical Engineering of the National Technical University of Athens in 1984. He completed his doctoral thesis on gold pyrometallurgy at National Technical University of Athens in 1989. Currently, he is Professor in Extractive Metallurgy at National Technical University of Athens teaching Chemistry, Non-Ferrous Metals Extractive Metallurgy and Transport Phenomena. His research interests include but are not limited to extractive metallurgy, electrometallurgy, waste valorisation, wastewater treatment, geopolymerisation as well as chemical processing of ores and metallurgical wastes with ionic liquids.

By |2021-06-03T14:41:04+00:00June 3rd, 2021|Weld Engineering Services|Comments Off on Electrolytic Iron Production from Alkaline Bauxite Residue Slurries at Low Temperatures

Process Intensification: Activated Carbon Production from Biochar Produced by Gasification

1.1 Activated Carbon

The adsorption of air and water contaminants on an activated carbon surface is frequently used in air and water treatment systems. Conventional biological treatment processes are efficient in removing biodegradable organics. These processes, however, have limited ability to remove lignins, humic substances, pesticides and residual colour and odour-producing organic compounds. The performance of activated carbon in removing such organic compounds has been proven. Activated carbon filters used for water treatment in homes are usually made of either powdered activated carbon (PAC) or granular activated carbon (GAC). PAC is made of powdered carbon with a particle size of <0.18 mm and diameter in the range of 0.25–1.15 mm. It is generally used in batch type reactors and is subsequently filtered off. It is used in the treatment of liquids and cleaning of flue gases. GAC is produced from 0.2–5 mm particle size irregular carbon. For liquid and gas phase substances, it is applied on adsorption columns (13).

1.2 Biochar

The increase in production and accompanying energy demand which has emerged in the last century with the increasing population is becoming important. The environmental impacts caused by the increase in production draw attention and higher consumption creates problems for our limited natural resources. The necessity of treatment for the prevention of soil, air and water pollution is among the topics that are especially emphasised at international conferences. It is necessary for humanity to take joint decisions to increase the sensitivity of countries on environmental issues and to implement the necessary legal measures (4).

Biochar is a byproduct with high carbon content produced through the conversion of biomass into syngas by advanced thermal gasification using partial oxidation. Intensified gasification of biomass through partial oxidation is a recently developed, environmentally clean and renewable energy technology (5). Biochar obtained as a byproduct from gasification of woody biomass mainly contains carbon (85 wt%), nitrogen, hydrogen, phosphorus, calcium, magnesium and iron. Production of activated carbon from biochar is possible. To convert biochar into activated carbon, it is necessary to remove the specific contaminants to complete the activation.

Biomass is a renewable energy source but can cause environmental issues when it is not properly utilised. Therefore, it needs to be dealt using appropriate technology as compared to other renewable energy sources. Since thermal utilisation of biomass is carbon neutral, it does not cause global warming, and due to the quantities available it has high energy potential. Thermochemical methods are generally used to obtain energy from biomass. Known thermochemical methods are combustion, pyrolysis and gasification. The gasification process has several advantages over other thermal processes: the ability to dissolve material at lower reactor volumes, the formation of low amounts of contaminants and more efficient utilisation of the produced syngas. Compared to pyrolysis, it has the advantage of working autothermally without the need for external energy. Compared to other processes, gasification of woody biomass is stated to be one of the most suitable options for optimising the conversion efficiency of the fuel’s chemical energy (67). The stoichiometric reaction of woody biomass with partial oxygen results in flammable product gases and thus gasification. The basic equation of the gasification of biomass is as in Equation (i):

(i)

Various types of reactors are available for gasification. To not digress from the subject, the kinetics of gasification reaction was not elaborated. Fixed-bed biomass gasification reactors are used for syngas generation and biochar production. Fixed bed gasification reactors efficiently convert biomass to syngas and are the type of reactor suitable for the production of biochar as a byproduct with high carbon content (85–90 wt% carbon) (89).

The biomass fed into the gasification system passes through four sections in the reactor and is converted into syngas and biochar as a byproduct. The biomass passes through the drying, pyrolysis, reduction and oxidation zones in the reactor and is converted into biochar at elevated temperatures (800–1100ºC). The amount of biochar produced depends on the biomass type and the operational conditions. 10–20% of the biomass fed to the reactor is produced as biochar (1012).

Recently, researchers have begun to be interested in biochar produced as a byproduct from biomass by thermal conversion pathways (>700ºC), such as pyrolysis, thermal carbonisation, flash carbonisation and gasification (13). Many studies have suggested that biochar can be used in CO2 adsorption, soil remediation and air pollution removal (1416). Additionally, the use of the syngas produced by thermochemical conversion of biomass as a renewable energy source provides an advantage while the efficiency potential of biochar produced as a byproduct will make these systems very attractive (17).

1.3 Steam Activation

Physical activation improves the surface pores of biochar and affects the chemical properties of the surface (such as surface functional groups, hydrophobicity and polarity). The physical activation methods used for biochar are generally steam and gas activation.

The steam activation of the biochar is usually carried out after the thermal carbonisation of the biomass. The surface porosity of biochar increases after pyrolysis. Also, with steam activation, the activated biochar will gain higher porosity. The chemical formulae are shown in Equations (ii) and (iii) (18):

(ii)

(iii)

With the H2O (steam) and carbon reaction during the activation process, three outcomes emerge: (a) removal of the volatiles and tar from the surface; (b) formation of new micropores; and (c) expansion of existing pores (1920).

Studies on steam activation have shown that it increases the biochar’s surface area and micropores. For example, the surface area of biochar (136–793 m2 g−1) obtained by rapid pyrolysis (800ºC, 45 min) was increased as a result of steam activation. All these measurements were performed with BET isotherm (21). In another study, biochar (700ºC) from tea residue biomass was activated by steam and its surface area was obtained as 576.1 m2 g−1, pore volume as 0.109 cm3 g−1 and pore diameter as 1.998 nm (before activation, the surface area was 342.2 m2 g−1, pore volume 0.022 cm3 g−1 and pore diameter 1.756 nm) (22). The steam activated biochar formed at 700ºC indicated the highest absorption capacity (37.7 mg g−1) at pH 3, with a 55% growth in absorption ability compared to non-activated biochar produced under the same conditions. Consequently, activation with steam has potential to enhance the adsorption capability of biochar. At 700ºC, produced biochar derived from plant-based biomass detected relatively low surface areas (9.27 m2 g−1). Due to the formation of tar during thermal decomposition, the pores in the biochar are blocked (23). Steam activated biochar derived from bamboo waste had a larger surface area compared to non-activated bamboo biochar. Optimum conditions for activation were 850ºC and 120 min activation time. Under these conditions, the BET surface area of activated biochar was 1210 m2 g−1 and total pore volume was 0.542 cm3 g−1. This study showed that bamboo waste could be used to arrange new micropores in activated biochar through steam activation (24). In further research, activation of rice husk biochar was carried out at 800ºC using steam. Micro- and mesoporous structured biochar were produced and 1365 m2 g−1 surface area was obtained at the end of 15 min (25).

Another paper presents a study into the effect of different activation conditions and adsorption characteristics of biochar evaluated from tyre rubber waste. Steam was used as an oxidising agent and total micropore volumes and BET surface areas increased to 0.554 cm3 g−1 and 1070 m2 g−1, respectively. Consequently, steam was observed to generate a narrower extensive microporosity (26). An experimental test represents the production of activated biochar from barley straw using steam activation. Activation was conducted to maximise the micropore volumes and BET surface area of the biochar. Optimal conditions for steam activation were a hold time of 1 h at 700ºC. The micropore volume and surface area of the activated biochar were 0.2304 cm3 g−1 and 552 m2 g−1, respectively (27). A further study investigated activated biochar produced from date stone wastes by steam activation. The effect of activation hold time on surface textural structure properties of raw date stone and biochar were studied. The results indicated the presence of cellulose and hemicellulose in the raw material, and the predominance of carbon content. The highest microporous volume was 0.716 cm3 g−1 and specific surface area was 635 m2 g−1, obtained through biochar activated under steam at 700°C for 6 h (28). Another study was conducted to investigate the effect of sulfur in activated biochar prepared from apricot stones by steam activation. The activation temperature and time tested were in the ranges of 650–850ºC for 1–4 h. The experimental results revealed that the surface area of the biochar was 1092 m2 g−1 at activation conditions of 800°C for 4 h. The experimental results indicated that commercial production of porous activated biochar from apricot stones is reasonable (29). The significance of the nature and composition of biomass was demonstrated by the steam activation of three different biomass sources including wheat straw, coconut shell and willow (30). For these three biomass substances, activated carbons with specific surface areas of respectively 246 m2 g−1, 626 m2 g−1 and 840 m2 g−1 were produced.

Although physical activation using steam significantly increases surface area and porosity, there is a disadvantage of using steam activation. This is the loss of aromaticity and polarity in steam activated carbons compared to genuine biochar (31). However, using a combination of CO2 and steam activation has been reported to produce activated carbons with better surface area and pore structure compared to using only CO2 or steam for activation. In one study, activated carbon was produced from biochar obtained from olive kernel biomass using CO2, steam and a combination of CO2 and steam. A combined CO2 and steam activation under similar experimental conditions was reported to produce a higher surface area (1187 m2 g−1) compared to the specific surface area obtained by using only CO2 (572 m2 g−1) or steam (1074 m2 g−1) (32). From the aforementioned studies, it can be concluded that the reaction of steam with carbon occurs in a shorter period compared to the reaction of CO2 with carbon. While generally micropore activated carbons are produced by using CO2 in physical activation, meso- and macropores are formed in the structure during activation with steam (33). The reason for the difference in pores is attributed to the conversion of developed micropores into wide meso- or macropores and the faster reaction of the fixed carbon in the biomass structure of the steam. Also, it is possible to produce more pores using steam as it can penetrate the inner surface of the fixed carbon. On the other hand, CO2 stagnates in its reaction with the fixed carbon and therefore more homogeneous micropores are added to the structure due to activation using CO2. Determining the specified exposure time of the biomass at high temperatures with the activation agent is a critical decision to achieve high surface properties. The significance of biochar steam activation time was emphasised in some studies. It has been determined that there is a decrease in the surface pores of biochar exposed to long activation time (34).

Chemical and physical processes are needed to increase the utilisation value of biochar. Several processes are required such as separation of biochar into suitable granule size, obtaining carbon black, activation of pores by chemical processes and the sizing of activated carbon. The failure to use biochar produced as a byproduct of biomass gasification constitutes a disadvantage in all respects considering the spread of such technologies. Biochar produced as a byproduct by gasification of woody biomass is only used as a soil conditioner in small amounts. It is generally burned inefficiently in combustion boilers. To this end, this study investigates the conversion of biochar into activated carbon, which is a widely used valuable product. Several studies have emphasised that surface area and pore volume increase with the conversion of biomass at high temperatures by thermal methods (35). Thus, it is envisaged in the present study that the process of converting biochar obtained by gasification at high temperatures (800–1000ºC) into activated carbon by specific activation methods may have many advantages. The need for extra energy from external sources such as utilisation of fossil fuels to reach these temperatures in conventional carbon conversion systems causes high operational costs. Considering all this, it is expected that high quality activated carbons obtained from biochar will be available in the market at low costs.

2.1 Materials and Methods

In this experimental study, oak woodchip was gasified in an updraft gasifier. Byproduct biochar was activated in the activation unit integrated into the gasification system.

The proximate and ultimate analyses of the oak woodchips were conducted, and the results are presented in the Results and Discussion section. Proximate and elemental analyses were performed to determine the usability of biochar produced after the gasification of biomass for the production of activated biochar. Proximate analyses of moisture (ASTM D7582-12), ash (ASTM E1755-01(2020)), fixed carbon (ASTM D3172-13) and volatile matter (ASTM D7582-12) were made according to standard methods. The lower heating value was determined using ASTM D5865-13 standard method. The amounts of carbon, hydrogen, nitrogen and sulfur were determined in the element analyser and the amount of oxygen was determined using the standard ASTM D3176-09.

Using a thermal analyser, the thermogravimetric carbonisation analysis of oak woodchips was performed. Approximately 10 mg samples with an average particle size of 0.25 mm were heated at 10ºC min−1 from room temperature to 800ºC under nitrogen flow. Throughout the measurements, the nitrogen flow was kept constant at 10 cm3 min−1.

Activation of the biochar produced in the gasification system in the Gebze Technical University (GTU) Gasification Laboratory was performed. For the preparation of the biochar and activated biochar, oak woodchips were first carbonised by gasification at 800–1000ºC for 1–2 h. Then, the resultant biochar produced as a byproduct from the gasifier was activated by steam at three different temperatures (700ºC, 750ºC and 850ºC) utilising thermal heat generated from a syngas burner at different activation times (30 min, 60 min and 90 min). 5.5 kg byproduct biochar was used in each run. During the final process, the reactor was cooled under inert injection of nitrogen gas and then the activated carbon was removed from the reactor and weighed in order to determine the burn-off undergone in the reaction. For steam activation, a stainless-steel vertical reactor illustrated in Figure 1 was used and integrated to the system to heat each 5.5 kg biochar sample. Throughout the experiment, an exact heating rate and steam flow rate (~20ºC min−1, 1.3 kg min−1, respectively) were applied. Referring to Equation (ii), the optimal stoichiometric steam amount was determined and calculated for the system.

Fig. 1

Schematic diagram of the experimental biochar activation setup with gasifier: A main biomass feeding hopper; B updraft gasifier; C biochar byproduct; D syngas exit pipe; E syngas burner; F air; G thermal heater; H exhaust waste heat; I pressure regulator; J steam generator; K jacket heater and insulation; L biochar activation reactor; M nitrogen inert gas; N stack gas; O gas clean-up; P stack

Schematic diagram of the experimental biochar activation setup with gasifier: A main biomass feeding hopper; B updraft gasifier; C biochar byproduct; D syngas exit pipe; E syngas burner; F air; G thermal heater; H exhaust waste heat; I pressure regulator; J steam generator; K jacket heater and insulation; L biochar activation reactor; M nitrogen inert gas; N stack gas; O gas clean-up; P stack

2.2 Characterisation of Biochar and Activated Biochar

The nitrogen adsorption or desorption isotherms were determined at 77 K by means of an automatic adsorption instrument to identify the textural properties of the produced biochar and activated biochar. Before the gas adsorption measurements, the samples were degassed at 300ºC under vacuum for 5 h. The N2 adsorption isotherm was achieved over a relative pressure, P:P0, ranging from roughly 10−6 to 1. The BET and t-plot methods were employed to determine the surface area, micropore surface area and pore volume of the biochar and activated biochar, respectively. Relative pressures in the 0.01–0.15 range were applied to evaluate the BET surface areas. The total pore volumes (Vt, cm3 g−1) were considered to be the liquid volumes of N2 at high relative pressure near unity (~0.99) (3637).

SEM analysis was performed to investigate the surface, textural, porosity and structural properties of activated biochar produced under different conditions. SEM analyses were taken by enlarging ×500 to observe changes in surface morphological structure before and after activation.

To examine the crystal structure, XRD profiles of each sample were obtained at room temperature, using a copper Kα X-ray source, under 40 kV and 30 mA analysis conditions. Diffraction data were taken on a scale ranging from 2θ = 0–90º.

In order to qualitatively determine surface functional groups, FTIR spectra were obtained at room temperature, with the support of diamond orbital attenuated total reflection (ATR) accessory, by scanning 128 times in the range of 500–4000 cm−1 band at 4 cm−1 separation sensitivity. Samples were placed directly on the diamond crystal and were analysed by applying pressure to allow it to fully interact with the diamond crystal.

Figure 2 shows the complete activation of biochar produced from the gasification system at GTU Gasification Experimental Rig (Figure 3). The biochar obtained by the gasification of oak woodchips (Figure 4) in the gasification system at GTU was treated with the physical partial activation method integrated to the gasification system. There are different wood-based sources for biochar production. The highest carbon content is provided from oak woodchip feedstock. Therefore, in the present study, biochar produced from oak woodchip feedstock was used for the production of activated carbon materials. Table I summarises the composition of the oak woodchip feedstock. In addition, the proximate and elemental analysis of the oak woodchip is given in Tables II and III respectively, and Figure 5 represents the TGA tracings for oak woodchips.

Fig. 2

(a) Oak woodchips; (b) gasification byproduct biochar; (c) activated biochar with steam activation

(a) Oak woodchips; (b) gasification byproduct biochar; (c) activated biochar with steam activation

Fig. 3

Gasification System in Gebze Technical University, Turkey

Gasification System in Gebze Technical University, Turkey

Fig. 4

Oak woodchips gasification byproducts (biochar)

Oak woodchips gasification byproducts (biochar)

Table I

Analysis Results of Oak Woodchip Feedstock

Analysis Unit Analysis results Method
Original based In air dry based Dry based
Moisture wt% 45.01 2.95 ASTM D7582-12
Ash wt% 0.22 0.4 0.41 ASTM E1755-01
Volatile matter wt% 44.92 79.27 81.68 ASTM D7582-12
Fixed carbon wt% 9.85 17.39 17.91 ASTM D3172-13
Total sulfur wt% 0.06 0.1 0.1 ASTM D4239-13
Sulfur in ash wt% 1.38 ASTM D4239-13
Lower heating value cal g−1 2330 4533 4688 ASTM D5865-13
Higher heating value cal g−1 2749 4852 5000 ASTM D5865-13

Table II

The Results of Elemental Analysis of Oak Woodchip Feedstock

Analysis Unit Oak woodchip Method
C wt% 52.38 ASTM D5373-14
H wt% 6.57 ASTM D5373-14
N wt% 0.27 ASTM D5373-14
S wt% 0.1 ASTM D4239-13
Ash wt% 0.41 ASTM E1755-01(2020)
O wt% 40.27 ASTM D3176-09

Table III

Halogen and Ash Analysis Results of Oak Woodchip Feedstock

Analysis Unit Oak woodchip Method
F % <0.05 Ion chromatography
Cl % <0.02 ISO 587:2020
Bulk density kg m−3 367.8 ISO 787-11:1981
SiO2 % 14.5 Ash analysis ASTM D2795-95
Al2O3 % 4.3
Fe2O3 % 3.3
CaO % 37.3
MgO % 11.6
SO3 % 3.6
Na2O % 3.2
K2O % 19.3
TiO2 % 0.4
P2O5 % 2.5

Fig. 5

TGA diagram for oak woodchips

TGA diagram for oak woodchips

According to the proximate and elemental analysis data given in Tables I and II, it is understood that oak woodchip has good potential and represents an ideal feedstock to produce suitable biochar via gasification due its high carbon content and higher heating values. In addition, it appears to be an excellent source of feedstock for the gasification process due to its low ash content.

According to the halogen and ash analysis given in Table III, the mineral and metal content in the oak woodchip feedstock caused the formation of a cratered shape biochar, which also acted as a natural catalyst during the gasification reactions, thereby providing the desired or better syngas yield.

Figure 5 shows the results from TGA carried out on oak woodchips samples. The thermal degradation of oak woodchips takes place in three stages. The first stage, which occurs at temperatures ranging between 30ºC and 100ºC, involves the loss of moisture content in the wood with approximate weight loss of 10 wt%. The second stage with nearly 20 wt% weight loss occurred while temperature rose from 150ºC to 250ºC. This step is related to the release of volatiles resulting from the degradation of hemicellulose. The third stage, occurring at 300–550ºC, is characterised by the decomposition of cellulose and lignin. The maximum rate of weight loss occurred in the third section with weight loss of around 45 wt%. Nevertheless, no significant weight loss was observed above 650ºC, indicating that a temperature at this level or above could be preferred for preparation of activated biochar. The total weight loss recorded was approximately 85 wt%.

Biochar extraction was obtained after uniform ligneous biomass gasification. Since it has high fixed carbon content and is suitable for active carbon production, oak woodchip feedstock was chosen. The supplied biomass was utilised directly in gasification without any prior treatment. The optimum temperatures determined in these gasification tests were in the range of 800–1000ºC, while the air:fuel ratio was determined as 1.6. Gasification system operations were carried out accordingly. The applied gasification conditions are shown in the mass and energy diagram given in Figure 6. The energy value of the feedstock was calculated as 20 MJ kg−1 on a dry basis. Additionally, about 80 kg h−1 of ambient air was used for the gasification agent. According to the conditions in this operational tests, 5.5 kg of biochar is obtained per hour from 50 kg h−1 fuel supply to the gasifier. In addition, a total of 850 MJ syngas thermal energy was determined in the mass energy balance which was utilised as an energy source for the activation unit integrated into the system to apply process intensification. These tests were a fine example of intensification since two processes, namely gasification and activation, retrofitted to each other to preserve and use heat in the process as compared to conventional activation.

Fig. 6

Mass and energy balance for gasifier during the production of biochar. Hot gas efficiency = 85%

Mass and energy balance for gasifier during the production of biochar. Hot gas efficiency = 85%

One critical aspect in the assessment of the potential for activated biochar production from oak woodchip by using the updraft gasifier is the energy and mass balance of the process. The mass and energy equilibrium on the reactor provide a quantitative measure of the efficiency for conversion of feedstock to produced gas and biochar using this particular type of gasifier. Mass and energy balances for a specific type of feedstock will vary from one type of gasifier to another as the thermodynamic equilibria and reaction kinetics of the three head reactions in gasification vary depending on the gasifier operating conditions.

The mass balance analysis on the gasifier requires an evaluation of the inputs to and outputs from the gasifier. From the calculations, achieving 100% closure is not easy and the results illustrate the complications of acquiring this data. However, the mass balance closure for the initial run was found to average 85% which represents a reasonable figure for the initial proof of concept assessment of oak woodchip gasification study trials. The mass and energy balance diagram for the initial run is given in Figure 6.

Considering the mass and energy balance data, the reactor was operated and syngas and biochar production were obtained at high rates close to theoretical calculations. During operations, approximately 5.5 kg of biochar were obtained per hour, and this produced biochar were transferred to the biochar activation unit shown in Figure 1. Also, syngas produced by gasification was burned in a specially designed syngas burner and thermal heat obtained was transferred through the thermal heater to the biochar activation unit. During the experimental study, nine different activation operations were performed at different temperatures (700ºC, 750ºC and 850ºC) each with a different residence time (30 min, 60 min and 90 min). Due to the reactor design, a heating rate of approximately 20ºC min−1 was conducted in all studies, which is a favourable condition for activating biochar. The steam flow rate was 1.3 kg min−1 in accordance with this heating rate and reactor design.

Gasifier byproduct of approximately 5.5 kg biochar was transferred to the activation reactor. The first experiment was carried out at 700ºC for 30 min residence time. The same procedure was applied at 700ºC for 60 min and 90 min residence time, after which the samples were cooled with nitrogen gas. Subsequently, experiments were carried out at 750ºC and 850ºC under the same conditions. Burn-off values of the samples formed after activation were extracted from the biochar obtained by weight from the first value and were determined as a percentage. Effects of activation time and temperature on burn-off of activated biochar are given in Figure 7. In addition, BET surface area and total pore volume analyses were performed in each sample obtained and given in Figure 8 and Figure 9.

Fig. 7

Effect of activation time and temperature on burn-off of activated biochar

Effect of activation time and temperature on burn-off of activated biochar

Fig. 8

Progress of BET surface area and total pore volume with burn off of activated biochar

Progress of BET surface area and total pore volume with burn off of activated biochar

Fig. 9

Effect of activation time and temperature on BET surface area of activated biochar

Effect of activation time and temperature on BET surface area of activated biochar

According to Figure 7, during the activation of the biochar with steam method, there is a mass loss between 40–70%. It is evident from the figure that the biochar regularly loses mass due to an increase in the activation temperature and residence time. It is clearly seen from the data that the highest mass loss is observed at 850ºC when activation period reaches 90 min. The possible reason for that is some carbon in the biochar structure reacts with water at high temperatures and forms carbon monoxide and hydrogen (syngas). In this thermochemical process, carbon leaves the structure and causes mass loss but creates more pores in the structure.

Physical adsorption and BET surface area measurement were performed. According to BET surface area and total pore volume analysis shown in Figure 8 and Figure 9, it is clearly seen that temperature and residence times have a significant effect on the formation of the biochar surface morphology. It can be understood from these figures that the most appropriate temperature and residence time interval applied for activation for oak biochar was 60 min at 750ºC.

The resultant biochar produced from the gasification as a byproduct is compared with partially activated biochar utilising steam in Table IV. It was determined that the volume and area of the surface pores of the steam treated biochar increased significantly (total pore volume 0.022 cm3 g−1 and 0.231 cm3 g−1, BET surface area 21.35 m2 g−1 and 458.28 m2 g−1, respectively). It was compared with the commercial activated carbon used in water filters produced from coconut shell and physical adsorption and surface area measurement are presented in detail (0.326 cm3 g−1 to 648.96 m2 g−1).

Table IV

BET Results of Biochar and Activated Biochar with Steam Activation

BET results (m2 g−1)
Biochar 21.35
Activated biochar (750ºC, 60 min) 458.28

BET surface area analyses were carried out on biochar and by activating the biochar obtained as a result of gasification in the steam activation unit shown in Figure 1 at the specified temperatures. The results are given in Table IV. The most suitable temperature for activation was found at 750ºC. Since the 1 h residence time activated biochar at 750ºC gave the highest result (458.28 m2 g−1), other analyses such as FTIR, XRD and SEM of the selected activated biochar obtained were conducted. These results were also compared with the biochar produced from the gasifier without any activation.

Finally, during the steam activation process, the porosity increased apparently when the temperature rose to about 750ºC. On the other hand, the micrographs obtained from the biochar and activated biochar showed no discrepancies in terms of morphological properties. As both samples yielded different porosity values, this result can be said to be coherent with the physisorption results obtained from surface analyses.

The discussion section, first of all, deals with the properties of the carbonisation process. The produced activated biochar was found to yield an increase in the surface area (from 21.35 m2 g−1 to 458.28 m2 g−1) and total volume (from 0.022 cm3 g−1 to 0.231 cm3 g−1) as a result of the transition from limited air to steam in the gasification system. Generally, the rise in the temperature of the gasification process causes a higher discharge of volatile matter. This, in turn, leads to an increase in the original porous structure that will be further developed during the activation phase. On the other hand, high temperature in the gasification process results in the softening and sintering of the high molecular weight volatiles, which leads to the depolymerisation and shrinkage of the particles. This also causes a reduction in the micropore surface area and volume. Nevertheless, a temperature below 700ºC in the gasification phase impedes the complete devolatilisation of the low molecular weight volatiles, and as a result, prevents the initial porosity from being further developed.

An increase in the temperature from 800ºC to 1000ºC leads to a decrease in the yield efficiency of biochar from gasified oak woodchips. This is caused by the oak woodchips being partially decomposed to gaseous products. Therefore, the ideal gasification and activation temperature was 750ºC, which was used to activate the samples in the following.

The ratio of the mass of activated biochar to the mass of the raw material was calculated to determine the yield of activated biochar. The oak biochar activated at 750ºC was examined to evaluate the effects of the activation temperature and the hold time on the yield of activated biochar. The sample underwent activation with steam at predetermined activation temperatures and constant hold time (1 h), different hold times and constant activation temperature (750ºC).

An activation temperature of 750ºC at constant hold time caused a change in the yield of activated biochar. This is linked to the elimination of volatile matter arising from the decomposition of the main oak woodchips compounds, i.e., cellulose (a long glucose polymer without branches) and hemicellulose (composed of a variety of branched saccharides). Due to the decomposition of all cellulose and hemicellulose, the yield becomes stable at a temperature above 700ºC. As a result, lignin, the third component of oak woodchips that is more challenging to decompose, remains. In fact, lignin is known to decompose slowly at a temperature ranging from room temperature to 900ºC (38). Yet, the decomposition of cellulose and hemicellulose generates a porosity in oak woodchips that enables more efficient diffusion of oxygen to the particles. Hence, an increase is obtained in the kinetic reaction of lignin with oxygen. According to these results, the more cellulose and hemicellulose the raw material contains, the faster the decomposition of lignin takes place. The decomposition of the biomass actually occurs in two steps during activation: the decomposition of the cellulose and hemicellulose takes place first. This first step leads to an increase in the porosity of the activated biochar, and, as a result, the oxidising agent can easily diffuse into the particles. Secondly, the lignin reacts with the oxidising agent.

The endothermic reaction of carbon with water to produce carbon dioxide and hydrogen is thermodynamically more desired and is quicker at 750ºC. Longer hold time generates an increase in the amount of discharged volatile matter.

Surface energies of oak biochar produced after gasification were measured by SEM and energy dispersive X-ray spectroscopy (EDS) analysis was performed at GTU Laboratories (Figure 10 and Table V). Surface pores were clearly seen in SEM analyses and images were found to be consistent. In addition, biochar produced after the oak gasification process has a carbon content of about 80–85%. These findings are confirmed by EDS measured at different areas of the sample since silicon, oxygen, potassium, calcium and magnesium were observed on the surface (see the spectrum in Table V), which mainly contributed to the formation of low melting point eutectics.

Fig. 10

SEM analysis of: (a)–(c) biochar and (d)–(f) activated biochar

SEM analysis of: (a)–(c) biochar and (d)–(f) activated biochar

Table V

Energy Dispersive Spectroscopy Analysis of Oak Woodchips Biochar and Activated Biochar

Material Element Weight, % Atom, % Error, % Net intensity, %
Activated biochar (750°C, 60 min) C 84.28 87.72 0 11607.58
O 15.72 12.28 0.01 827.78
Biochar without any activation C 79.66 84.32 0 30208.26
O 19.14 15.21 0 3085.12
Mg 0.22 0.12 0.02 221.97
Al 0.17 0.08 0.02 183.87
Si 0.13 0.06 0.02 153.36
K 0.36 0.12 0.03 225.72
Ca 0.32 0.1 0.03 166.7

XRD is an analysis method to prove whether the structure is crystalline. This method is widely used in the synthesis of activated carbon. Although activated carbons are generally amorphous structures, crystals can be found in the activated carbon structure depending on the synthesis methods.

Considering the XRD results showed in Figure 11 of the synthesised activated biochar, it is seen that there is no crystalline phase in the structure and the structure is completely amorphous. In addition, it was understandable that no peak was seen in previous studies since the synthesis conditions were considered to be quite amorphous. It is seen that all activated carbon samples have three different amorphous phases. A horizontal baseline can be seen in the diffractogram of biochar and activated biochar, which indicates that a significant proportion of the matter is amorphous. It can be inferred from the XDR pattern of the biochar that the gasification process had a significant impact. Owing to the decomposition of cellulose and hemicellulose during the thermal treatment, the diffraction peaks achieved at 2θ = 16.3º and 20.60º disappear. Subsequent to the pyrolysis, only two broad diffraction peaks at around 23.58º and 43º remain, which could be related to the presence of carbon and graphite (39).

Fig. 11

Activated biochar and biochar XRD analyses

Activated biochar and biochar XRD analyses

Surface functional groups of the biochar at high temperature (750ºC) with steam were measured. Surface functional groups of the biochar were also analysed by FTIR in the laboratories at GTU. Considering the formation of surface functional groups of the biochar, these analyses revealed that gasification is a correct method in the production of activated carbon. As seen in Figure 12, as expected for activated carbon, C–H stretching vibration was observed at 2973 cm−1, C=O and C=N at ~1591 cm−1 and C–O stretching at ~1045 cm−1. Also, stretching was found in the alcohols, phenols, ether and ester groups. As in the case of commercial activated carbon, a strong band is seen at about 799 cm−1 that is described as COOH vibrations in carboxylic groups; biochar and partially activated biochar were also observed.

Fig. 12

FTIR surface functional group analysis of biochar, activated biochar and commercial activated carbon

FTIR surface functional group analysis of biochar, activated biochar and commercial activated carbon

By |2021-06-02T08:34:26+00:00June 2nd, 2021|Weld Engineering Services|Comments Off on Process Intensification: Activated Carbon Production from Biochar Produced by Gasification

Flexible Hybrid Process for Combined Production of Heat, Power and Renewable Feedstock for Refineries

Johnson Matthey Technol. Rev., 2021, 65, (2), 333

1. Introduction

CHP production technologies using various wood residues and agricultural biomasses are commercially available at different sizes (1, 2). The state-of-the-art CHP technologies have been under severe financial stress in changing European markets characterised by a rapid addition of variable renewable energy (VRE) capacity and stagnating electricity demand (3). Consequently, many new thermal generators are currently designed to produce only hot water for heating purposes instead of CHP (4, 5). As a result, there is a clear need for new flexible district heating and CHP production solutions in Europe that can maintain economic feasibility under increasing VRE penetration.

On the other hand, advanced transportation biofuels have been the focus of intensive development since early 2000, but industrial deployment has been postponed (68). One fundamental reason for this is the attempt to reach satisfactory economics by exploiting economies of scale; which leads to extremely large-scale plant concepts (>300 MW) that are eventually deemed too risky by the investors. Large-scale plants also suffer from incomplete utilisation of byproduct heat, as it is difficult to find such large heat consumers who could effectively exploit the heat supply. Thus, the biomass utilisation efficiency of stand-alone plants rarely exceeds 55% lower heating value (LHV) even with the best available technologies (8).

In response to the growing share of solar and wind power in the energy systems and consequent need for converting surplus electricity into storable form, power-to-gas (P2G) and power-to-liquids (P2L) concepts have recently been suggested for managing the temporal mismatch between solar energy supply and heat and power demand (10). However, the simple P2G and P2L concepts producing, for example, synthetic natural gas (SNG) or methanol from excess electricity and CO2 suffer from poor round-trip efficiency (typically <40%) when the final product after storage is once again converted to electricity (11). In addition, annual operation times for these plants, including fuel synthesis, are low especially in the northern European countries, typically only ca. 2000 h year−1. As a solution to this problem hybrid systems have been suggested, where electrolysis technology is used to boost the biomass gasification and chemical synthesis plant (12, 13).

This paper deals with the experimental development activities related to one promising hybrid production concept, FlexCHX, illustrated in Figure 1 (14). This process produces heat, power and an intermediate energy carrier, FT wax, which can be refined to transportation fuels using existing oil refining equipment. In the summer, renewable fuels are produced from biomass and hydrogen; the hydrogen is produced from water via electrolysis that is driven by low-cost excess electricity from the grid. During the dark, winter season, the plant is operated with just biomass in order to maximise the production of much-needed heat, electricity and FT wax.

Fig. 1

Principle of the operation of the FlexCHX plant during: (a) “summer season” and (b) “heating season”

Principle of the operation of the FlexCHX plant during: (a) “summer season” and (b) “heating season”

In principal, the FlexCHX process can be realised at large scale using pressurised fluidised-bed gasification developed in Finland (1416) or at smaller size range using the new staged fixed bed (SBX) gasifier developed in an ongoing European Union (EU) Horizon 2020 project (17, 18). In both gasification systems, the feedstock is gasified at moderate temperatures to generate a tar-containing raw gas, which is filtered at high temperature, and led to the catalytic reformer, where tars and hydrocarbon gases are reformed and the yields of hydrogen and carbon monoxide are increased. After final cleaning, the gas can be led into chemical synthesis units producing intermediate products, which can be refined to transportation fuels or chemicals using large-scale industrial units.

One of the most significant issues in syngas purification is the fate of light hydrocarbons (mainly methane, C2 hydrocarbons and benzene) and ‘tars’ produced during gasification. These hydrocarbons can constitute a significant proportion of the overall carbon content of the gas, and their conversion to syngas is therefore essential to improve syngas yield, as well as prevent poisoning of FT catalyst and plant fouling downstream of the gasifier. Technologies already exist for trapping tars at low temperatures such as water scrubbing and solvent wash, although these techniques will not address lighter hydrocarbons, and some tars with low dew points. A more elegant solution, utilised in the FlexCHX process, is the high temperature reforming of hydrocarbons to syngas immediately downstream from the gasifier.

In the FlexCHX project, previous knowhow of VTT, Finland, on catalytic reforming technology is combined with the catalyst knowhow of Johnson Matthey, UK. VTT’s technology with combinations of zirconia, noble metal and nickel catalysts has already been demonstrated in fluidised-bed gasification applications aiming to synfuel applications (15, 21). In FlexCHX project, this existing expertise is used to design an optimised reformer reactor for the raw gas of the pressurised SXB gasifier. The primary reduction of tar content already in the gasifier and on the filter cake together with new impurity tolerant catalysts developed by Johnson Matthey in the project will offer new, more efficient and robust design alternatives for the process. The platinum group metal (pgm) catalysts provide a potential for improved conversion efficiency to be achieved already at lower temperatures.

In addition to the reforming of tars and hydrocarbon gases, the catalytic reformer has another key role in the FlexCHX process in bringing the main gas components (carbon monoxide, water, CO2 and hydrogen) towards equilibrium. The H2:CO molar ratio should be close to two in the FT synthesis, while it is considerably lower in the raw feed or gas entering the reformer. During the heating season, the gasifier is operated with a mixture of steam and oxygen as gasification agents and the raw gas contains still typically 40% steam. This steam is then further consumed by reforming reactions and the main gas components approach the equilibrium of water gas shift reaction (Equation (i)):

(i)

The target molar ratio of H2:CO can be achieved by controlling the steam feed of the reformer. During summer season, less steam is used while CO2 is separated from the syngas and recycled back to the gasification process. In this case, the CO2 is consumed by reforming reactions and the equilibrium of the water gas shift reaction is pushed towards high carbon monoxide contents. This makes room for the use of additional electrolysis hydrogen. This concept could not be realised without the catalytic reformer that on one hand consumes steam and CO2 and on the other hand catalyses water gas shift reaction.

This paper is focused on the pilot scale development of catalytic reformer as part of the FlexCHX process. Results from four pilot test campaigns are presented and discussed.

2. Experimental

2.1 Gasification Pilot Plant

The schematic process diagram of the gasification pilot plant is shown in Figure 2. Biomass is gasified in a SXB gasifier, where biomass feedstocks are fed to the top of stage one and a fixed-bed is created from the biomass charcoal and ash at the bottom of the reactor. Primary gasification agents, mixtures of air, oxygen, steam and CO2, are fed through a distributor system to the bottom of the bed, where oxidation and gasification reactions take place in a similar manner as in commercial updraft gasifiers (19, 20). The gasification and pyrolysis gases produced in stage one flow to the second stage of the gasifier, where secondary gasification gases are introduced through a specially designed catalytic system. Major part of tars and light hydrocarbon gases are decomposed in the second stage and the gas temperature is raised from 300–500°C to the target outlet temperature of 750–900°C.

Fig. 2

SXB gasification pilot plant of VTT

SXB gasification pilot plant of VTT

After leaving the gasifier, the raw gas is led via the first gas cooler into the filter unit and the filtered gas is then reformed in a two-stage catalytic reformer. Finally, the gas is cooled to 200–400°C and the pressure is reduced close to ambient by the pressure control valve. Produced gas is led to the boiler, which is connected to the district heating network of Espoo, Finland. A slipstream of the gas is taken after the pressure letdown valve for the bench-scale ultra-cleaning unit and FT called the mobile synthesis unit (MOBSU).

The catalytic reformer has two stages, both of which are realised with fixed beds filled with granular catalyst material. The reformer is operated autothermally, and the required heat for the endothermic reforming reactions is provided by oxidation reactions. Mixtures of oxygen, nitrogen and CO2 are fed to both reformer stages. This staged reforming of filtered gasification gas has been previously developed and tested at VTT for fluidised-bed gasifier systems (21). The reformer was constructed with internal reactor made of heat resistant steel mounted inside a refractory lined pressure vessel. The inner reactor had electrical heaters to compensate heat losses and to assist in preheating.

In the pilot test campaigns, two different catalyst loadings were tested as shown in Figure 3. In the first campaign the reformer was loaded with a new batch of the same commercial nickel catalysts as were used in the previous fluidised-bed tests (15, 16). Whole bed volumes were filled with the same material (marked as A1). In the second test campaign, precious metal development catalysts of Johnson Matthey were used in combination with nickel catalysts. In the first bed commercial and robust nickel catalyst A2 from Johnson Matthey was used as guard bed in front of catalyst B, which was developed for tar reforming. The second bed was loaded with the previously used commercial nickel catalyst (A1) followed by precious metal catalyst C developed specially for methane reforming. Robust nickel catalysts were used in first layers, where added oxygen reacted with gas components resulting in locally high temperatures. The applied method of feeding oxygen with high velocity towards the catalyst beds, so that it does not have time to react in the empty gas space before the catalyst beds, is considered to play a key role in avoiding soot formation especially in the first bed as described in (22). The principal aim of this staged reformer concept is that most of the high-molecular-weight tars and part of C2 hydrocarbon gases are reformed already in the first bed, whereas the second bed is used for reforming of benzene and methane as well as for finalising the tar conversion.

Fig. 3

The reformer concepts and catalyst volumes used in the test campaigns

The reformer concepts and catalyst volumes used in the test campaigns

In the SXB pilot plant final gas cleaning of reduced sulfur compounds, trace halides, nitrogen species such as ammonia and hydrogen cyanide as well as residual tars and benzene, is realised using the slip stream gas cleaning unit decribed in (26). The process is divided into the operations involving purification and the compression steps.

The pilot plant has two main sampling points for collecting sample gas for online gas analysers, micro gas chromatography for sampling of tars and nitrogen and sulfur species. The first sampling point is located after the filter, the second after the pressure let down valve. The applied analytical methods are described in a detail in (2326).

2.2 Reformer Catalysts

Information on the catalysts are shown in Table I and photographs in Figure 4.

Table I

Catalysts Used in the Pilot Reformer Tests

Catalyst code and name Description / active metal content
A1: VTT-Ni Commercial steam reforming catalyst used in previous fluidised-bed experiments of VTT
A2: JM-Ni Conventional commercial 15 wt% nickel steam reforming catalyst
B: JM-VTT-PS-01 (rhodium tar reformer one) Rhodium-based catalyst coated on micro-cloverleaf. Chosen for its tar reforming activity and thermal durability (0.27 wt% rhodium)
C: JM-VTT-PS-03 (methane) Promoted platinum-based catalyst coated on micro-cloverleaf. Chosen for its methane reforming activity and thermal durability (0.27 wt% platinum)

Fig. 4

Photographs of the reformer catalysts: (a) JM-VTT-PS-Ni (nickel steam reforming catalyst); (b) JM-VTT-PS-01 (rhodium tar reformer 1); (c) nickel catalyst (VTT); (d) JM-VTT-PS-03 fine; (e) JM-VTT-PS-03 coarse (methane)

Photographs of the reformer catalysts: (a) JM-VTT-PS-Ni (nickel steam reforming catalyst); (b) JM-VTT-PS-01 (rhodium tar reformer 1); (c) nickel catalyst (VTT); (d) JM-VTT-PS-03 fine; (e) JM-VTT-PS-03 coarse (methane)

2.3 Gasifier Feedstocks

Table II presents the averaged results for the proximate and ultimate analyses of the feedstocks used in the SXB test campaigns. Four pilot test campaigns were realised using different wood-based and agricultural derived feedstocks. Photographs of the feedstocks are presented in Figure 5.

Table II

Feedstock Analyses as Used in the Gasification Campaigns of Staged Fixed Bed Pilot Plant

Wood pellets Bark pellets Wood chips Sunflower husk pellets
Particle size, mm 10–20 8 0–10 8
LHV, MJ kg−1 (dry basis) 18.4 18.8 18.1 18.4
HHV, MJ kg−1 (dry basis) 19.8 20.1 19.5 19.6
Moisture, wt% 7.4 9.4 10.0 10.3
Proximate analysis, wt% (dry basis)
Volatile matter (dry basis) 82.5 72.3 85.7 75.0
Fixed carbon (dry basis) 17.1 23.7 13.9 22.2
Ash, wt% (dry basis) 0.4 4.0 0.4 2.8
Ultimate analysis, wt% (dry basis)
Carbon 49.8 50.9 48.6 52.1
Hydrogen 6.3 6.0 6.5 5.8
Nitrogen 0.13 0.5 0.1 0.7
Chlorine <0.005 0.01 0.004 0.06
Sulfur 0.01 0.03 0.01 0.14
Oxygen as difference 43.4 38.6 44.4 38.5
Ash 0.4 4.0 0.4 2.8

Fig. 5

Photographs of the used feedstocks: (a) wood; (b) bark; (c) wood chips; (d) sunflower husk

Photographs of the used feedstocks: (a) wood; (b) bark; (c) wood chips; (d) sunflower husk

3. Results and Discussion

Four test campaigns summarised in Table III were realised at the SXB pilot plant by the end of March 2020. The pilot plant was operated continuously without any interruptions in these test runs. Each test was started by preheating the plant at first in hot air and then by combusting wood in the gasifier reactor. This took 24–30 h, before the gasifier was switched from combustion to gasification mode. The flue gases from preheating periods were also led through the filter and reformer, which were gradually heated up as well. When the gasifier was turned from combustion to gasification, feeding of oxygen and nitrogen mixture to both beds was started and the catalyst beds were gradually heated to the target operation temperatures. Measurements were carried out in 3–20 h long periods, during which the mass flow rates of input streams were kept as constant as possible. Elemental mass balances and performance indicators of the reformer were calculated for the set point periods based on average measuring results.

Table III

Realised Test Programme with the Two Reformer Loadings

Year/week Operation time, h Set points and feedstocks Reformer loading Reformer outlet temperature, °C
2019/21 60 19/21 A–D: wood pellets Bed I: A1, Bed II: A1 885–915
2019/34 70 19/34 A–D: bark, 19/34 E and F: wood pellets, 19/34 G and H: forest residues Bed I: A1, Bed II: A1 892–916
2020/07 62 20/07 A–C: bark, 20/07 D: wood chips Bed I: A2 and B, Bed II: A1 and C 762–767
2020/11 70 20/11 A–C: wood pellets, 20/11 D: bark, 20/11 E: sunflower husk Bed I: A2 and B, Bed II: A1 and C 747–786

One typical challenge of tar reforming has been soot formation (23), which over time decrease the catalyst activity and increase the pressure drop so that finally the reformer must be oxidised to remove the soot. In these pilot tests, the pressure drop of the reformer stayed constant at all set points reflecting just the changes in gas flow rate and operation temperature. As an example of the variation, Figure 6 shows the measured pressure drop in test run 20/11. Evidently, the applied pre-reforming taking place in the second stage of the gasifier together with the applied method of oxygen feeding into the reformer prevented soot formation reactions from taking place.

Fig. 6

Pressure drop across the reformer in the test run SXB 20/11

Pressure drop across the reformer in the test run SXB 20/11

The main measured results and calculated performance figures for selected four set points are presented in Table IV. Set points SXB 19/34B and 19/34E are tests where the reformer was loaded with nickel catalysts and set points SXB 20/11A and 20/11D are for the second reformer loading including the development catalysts B and C. Two of the set points (19/34B, 20/11D) represent operation with clean biomass with very low sulfur content and two set points (19/34E, 20/11A) are for bark gasification. The hydrogen sulfide contents of gas were typically ca. 20–30 ppm and 100 ppm respectively.

Table IV

Operating Conditions and Obtained Results for the Reformer at Selected Set Points

Set point 19/34B 19/34E 20/11A 20/11D 20/11E
Feedstock Bark Wood Wood Bark Sunflower husk
Feed rate, g s−1 11.7 10.1 11.7 11.4 10.3
Operation pressure, MPa 0.25 0.25 0.25 0.25 0.25
Gasifier temperature (stage one top), °C 389 404 523 552 526
Gasifier temperature (stage two average), °C 845 831 847 850 852
Concentrations after the filter:
Methane concentration, vol% (dry gas) 6.3 7.1 6.6 6.3 7.3
C2–C5 hydrocarbon concentration, vol% (dry gas) 1.2 1.5 1.3 1.2 1.5
Benzene content, g m−3 (dry gas) 9.7 10.0 11.2 13.1 14.1
Tar content, g m−3 (dry gas) 7.1 6.0 6.1 8.2 8.1
Reformer stage one:
Gas inlet temperature, °C 537 536 512 524 494
Maximum temperature, °C 862 929 952 976 969
Average temperature, °C 714 801 856 877 874
Outlet temperature, °C 831 790 776 795 794
Oxygen feed, g s−1 1.4 1.0 1.4 1.2 1.2
Nitrogen feed, g s−1 3.2 1.6 2.2 2.0 2.0
Methane after stage one, vol% (dry gas) nd nd 2.5 3.1 4.8
C2–C5 hydrocarbons after stage one, vol% (dry gas) nd nd 0 0 0
GHSV – total Bed I, h−1 (satp) 4800 4200 3400 3100 3200
GHSV – total Bed I, h−1 (actual) 7200 6900 5900 5500 5800
Reformer stage two:
Gas inlet temperature, °C 779 758 748 769 765
Maximum temperature, °C 942 955 1093 1156 1136
Average temperature, °C 905 906 876 917 913
Gas outlet temperature, °C 900 898 751 781 786
Oxygen feed, g s−1 0.98 0.99 0.37 0.39 0.40
Nitrogen feed, g s−1 2.44 1.79 0.97 0.77 0.77
GHSV – total Bed II, h−1 (STP) 5800 5700 3500 3100 3100
GHSV – total Bed II, h−1 (actual) 10500 10500 6100 5700 5800
After the reformer:
Wet gas flow rate at reformer outlet, m3 h−1 146 132 133 119 118
Concentrations after reformer:
Methane concentration, vol% (dry gas) 2.8 2.8 1.1 1.5 3.1
C2–C5 hydrocarbons concentration, vol% (dry gas) 0 0 0 0 0
Benzene, mg m−3 (dry gas) 1387 494 492 1340 4574
Tars, mg m−3 (dry gas) 172 34 2.7 6.0 204
Tar conversion, % 97.0 99.1 99.9 99.9 96.7
Benzene conversion, % 81.9 91.8 93.5 86.1 57.5
Methane conversion, % 43.2 35.7 75.7 67.0 44.1
C2–C5 hydrocarbons conversion, % 93.4 89.8 100.0 100.0 100.0

The tar concentrations measured after the filter unit were in the range 6.0–6.1 g m−3 with clean wood and 7.1–8.2 g m−3 for bark gasification. The benzene content varied in the range 9.7–13.1 g m−3 at these set points. Volumetric concentrations and volume flow rates in this article are presented in the conditions of standard temperature and pressure (STP) defined as 273.15 K and 101.325 kPa. Finally, methane and C2–C5 hydrocarbon concentrations in the reformer inlet were in the range 6.3–7.1 vol% and 1.2–1.5 vol% respectively. The C2–C5 hydrocarbons consisted mainly ethylene and ethane, which represented over 95% of these light hydrocarbon gases. These inlet concentrations of hydrocarbon gases and tars are of the same order of magnitude as determined for pressurised steam-oxygen blown fluidised-bed gasification of same feedstocks (15, 27). Consequently, similar hot gas filtration and catalytic reforming solutions can be applied for both gasifier types and the reforming results obtained in this study are applicable for fluidised-bed gasifiers as well. At these set points, the raw gas was cooled before filtration to 500–600°C in order to remove alkali-metal vapours during filtration as described in (28, 29). With wood residues, this gasification process could also be realised without cooling the gas before filtration, as is assumed in the process evaluation studies presented in (17).

In the first reformer stage, the gas temperature was raised by partial combustion reactions from 512–536°C to the maximum-targeted temperature, usually in the range 930–1000°C. The oxygen feed rate was controlled to ensure a reasonable temperature variation range at each target set point. Once endothermic steam and CO2 reforming reactions occurred, the temperature decreased. The oxygen feed used in the first reformer stage was of the same order of magnitude in 2019 tests with nickel catalysts and in the 2020 test with the development catalysts.

The inlet temperature of the second reformer stage varied at these set points in a narrow range of 748–779°C. The second stage was also operated by controlling the oxygen feed so that the maximum temperature occurring close to the top of the catalyst bed was kept in the target range. As before, the temperature decreased as a result of reforming of remaining tars and part of methane occurred. The higher efficiency of the first reformer stage in 2020 tests can be seen indirectly from higher maximum temperatures and from the fact that clearly lower oxygen feed rates were needed in the second stage than were needed with the nickel beds. The higher efficiency of the second catalyst stage is clearly linked to the lower outlet methane contents as well as in 120–150°C lower gas outlet temperature.

The space velocities for both reformer stages are calculated for the whole catalyst bed volumes including both the nickel and precious metal sections in the 2020 tests. In the 2020 test, the share of nickel and precious metal catalyst in the first stage were 10% and 90% and in the second stage 40% and 60%. The gas hourly space velocity (GHSV) is given in Table IV both in actual average temperature and pressure and in standard STP (273.15 K, 101.325 kPa). The molar volume of ideal gas (22.41 dm3 mol−1) is used in converting molar flows to volume flows. In the first stage, the gas volume flow is calculated as a sum of inlet raw gas flow and flow rate of added oxygen and nitrogen. The final gas flow after the reformer is used in calculating the GHSV for the second catalyst bed.

The achieved conversion efficiencies were calculated based on average measuring results and mass balances for each set point. The results are shown in Figures 7 and 8. Methane conversion with the nickel catalyst in 2019 tests was close to 50% with both clean wood and bark. In the 2020 tests with the development catalysts, clearly higher methane conversions were achieved: 75.6% with clean wood and 66.1% with bark. The conversion of C2–C5 hydrocarbon gases was complete in the 2020 tests, while with the nickel catalyst used in 2019 tests the reformed gas contained 0.05–0.1% of C2 hydrocarbon gases despite higher reformer outlet temperature. Tar conversions with the nickel catalyst were 99.3% with clean wood and 97.4% with bark. In the 2020 tests, tar conversions were complete and only some trace concentrations of 2.7 mg m−3 could be found from the reformed gas. No significant differences could be found in benzene conversions determined with the nickel catalyst and with the development pgm catalysts. This may be due to the higher operating temperature of the second reformer stage in the 2019 experiments. It can be expected that benzene conversions can be increased by increasing the operation temperature of the second reformer stage.

Fig. 7

Conversions of methane and C2–C5 hydrocarbon gases in the reformer

Conversions of methane and C2–C5 hydrocarbon gases in the reformer

Fig. 8

Benzene and tar conversions in the reformer

Benzene and tar conversions in the reformer

One of the challenges of gas cooling, compression and final cleaning is the deposition problems caused by heavy tars. The conversion of heavy tars was almost complete at all set points but again the results obtained with the development catalyst in 2020 were even better as can be seen in Figure 9, which shows the measured inlet and outlet concentrations of tar components which have higher molecular weight than naphthalene.

Fig. 9

Concentrations of heavy tars in the inlet and outlet of the reformer (sum of tars components heavier than naphthalene)

Concentrations of heavy tars in the inlet and outlet of the reformer (sum of tars components heavier than naphthalene)

The increase in sulfur content of the raw gas, when changing from clean wood to bark, had already clear effects on methane and benzene conversions with both tested catalyst set ups. According to our previous experiences with nickel catalysts (15, 30) this deactivation is reversible at least in the concentration range of 10–150 ppm typical to gasification of clean wood, bark and forest residues. All conversion efficiencies were further reduced significantly, when the feedstock was changed from bark to sunflower husk, which contained roughly five times more sulfur than bark.

4. Conclusions

In general, the developed catalytic reformer technology is able to convert tars and hydrocarbon gases into syngas and to bring the gas composition towards equilibrium of the water gas shift reaction. Thus, the reformer seems to fulfil both key roles it has in the hybrid biofuel production concept FlexCHX. The residual tar contents are almost negligible, which makes it possible to remove them by activated carbon simultaneously with bulk sulfur removal in the first guard bed. High methane conversion and low outlet temperature achieved with the development pgm catalyst is beneficial for the overall process efficiency and makes it possible to design concepts where the tail gases of FT synthesis are recycled back to the gasification process.

Stable reformer operation with no signs of soot formation could be achieved with both reformer loadings tested in the 2019 and 2020 test runs. Evidently, the overall method of tar control applied in the SXB gasification process has been successful. The very high primary tar content typical to updraft gasifiers is reduced in the secondary gasification zone to similar levels as achieved in fluidised-bed gasifiers. Dust particles are efficiently removed by metal filters, which makes it possible to apply fixed-bed reformer designs. The resulting raw gas could then be efficiently reformed in the two-stage fixed bed reformer.

When the reformer was operated in a way that the maximum temperature in both beds was kept stable by controlling the oxygen feed rate, the difference in the activity of reformer catalysts could be seen in the gas outlet temperatures. With the more active pgm catalysts used in 2020 tests, the outlet temperature from the reformer was 120–150°C lower than in the 2019 test runs. Higher tar conversions could be achieved by the development catalysts already with lower outlet temperature than were achieved with the commercial nickel catalysts.

Methane conversions with the nickel catalysts used in 2019 tests were of the order of 40%, while with the development catalysts used in 2020 methane conversions were in the range 71–87% with clean wood and 48–68% with bark. The major part of C2–C5 hydrocarbon gases were reformed in all test runs. The reformer performance with woody biomass was very good, while in the test runs with high-sulfur sunflower husk; the conversions were lower than targeted. The solution could be higher operation temperatures or lower space velocities for feedstocks having high sulfur contents.

Ammonia decomposition was rather modest in these test runs. Evidently, the operation temperatures were too low, and the catalyst selection was not efficient for ammonia decomposition. In future tests, the effect of increased temperature will be studied. Alternatively, the reformer can be designed to be realised with three beds, where the final bed would be dedicated for ammonia decomposition. Alternatively, ammonia can be scrubbed from the syngas by simple acid scrubbing but if the concentration is high, the acid consumption becomes large.

The next steps in the project are to utilise these experimental results to help make conceptual design for an industrial scale FlexCHX plant. The design will incorporate a full technoeconomic assessment for this hybrid production concept of biofuels and heat. Further pilot gasification tests will also be carried out in order to optimise the catalyst loadings and the performance of the catalysts under different conditions is studied with simulated gases in the laboratory.

Acknowledgements

FlexCHX project has received funding from the EU’s Horizon 2020 research and innovation programme under Grant Agreement No. 763919.

FlexCHX is an EU Horizon 2020 project, which develops a flexible and integrated hybrid process combining electrolysis of water with gasification of biomass and catalytic liquefaction. FlexCHX is a three-year project (2018–2021) with almost €4.5 million in EU funding and a consortium of 10 partners.

The project consortium comprises 10 entities from four different EU countries: three research organisations: VTT (Finland), Lithuanian Energy Institute (Lithuania) and DLR (Germany); five industry participants: Enerstena (Lithuania), Johnson Matthey (UK), Neste Engineering Solutions (Finland), Kauno energija (Lithuania) and Helen Ltd (Finland); and two small and medium-sized enterprises (SMEs): INERATEC GmbH (Germany) and Grönmark (Finland). The project is coordinated by VTT. The consortium of the FlexCHX project combines chemical engineering, power plant technologies, construction and engineering knowledge as well as business understanding.

The Authors


Esa Kurkela is a senior principal scientist, Principal Investigator MSc (Tech), at VTT Technical Research Centre of Finland. He has 40 years of professional experience in the gasification technologies. He specialises in gasification of biomass, waste, peat and coal; fluidised-bed and fixed-bed gasification; hot gas cleanup and new high-efficiency power production and fuel synthesis systems. He has been the coordinator of several EU and national projects and will be the Coordinator of the FlexCHX project.


Minna Kurkela MSc (Tech) is a Senior Research Scientist. She has over 25 years of experience in gasification and gas cleaning research and development and black liquor pyrolysis research at VTT Technical Research Centre of Finland. She works with project management and practical implementation of scientific research.


Christian Frilund works as a research scientist at VTT Technical Research Centre of Finland. He has over five years of experience on catalytic gas cleaning and gas treatment.


Ilkka Hiltunen MSc (Tech), is a research Team Leader of the Thermochemical Conversions Research Team at VTT Technical Research Centre of Finland. He has over 15 years of experience on gasification technologies and their different applications. He has excellent experience on industrial cooperation projects and pilot-scale activities.


Ben Rollins is a Research Scientist who has been working at Johnson Matthey since 2016. The primary focus of his research has been on heterogeneous catalysis of light hydrocarbon reactions including steam reforming and the oxidative coupling of methane. Through this work he has collaborated on several successful EU projects in the Horizon 2020 and LIFE programmes.


Andrew Steele is a Principal Scientist. He has been working at Johnson Matthey since 2001. His background is in catalyst science and reactor engineering; with a focus on utilisation of renewable energy. He has extensive experience in project management for several EU projects. He was a laureate for the 2006 Descartes Prize for Collaborative Scientific Research for Hydrosol 1.

By |2021-04-06T14:10:02+00:00April 6th, 2021|Weld Engineering Services|Comments Off on Flexible Hybrid Process for Combined Production of Heat, Power and Renewable Feedstock for Refineries

A Disruptive Innovation for Upgrading Methane to C3 Commodity Chemicals

Johnson Matthey Technol. Rev., 2021, 65, (2), 311

Introduction

Methane market opportunities will keep emerging; most energy forecasts currently predict that natural gas will play an important future role in the global energy sector. Projected long-term growth rates for gas are around 2% per year and analysts are expecting natural gas to overtake coal in the global energy arena in the next two decades (1, 2). Security of supply is improving to meet this demand with the USA becoming a large liquid natural gas (LNG) export player in recent years as the price of natural gas continues to drop while liquid petroleum gas (LPG) and carbon exploitation associated costs increase. All these scenarios could also allow for economically viable opportunities for stranded gas and biomethane utilisation.

Sustainable exploitation is a key driver of natural gas consumption’s future growth. The role of natural gas as a crucial stage strategy vector to reduce emissions could be supported by carbon pricing policies with the development of low carbon technologies where natural gas is implemented. Sustainable gas sources combined with renewable energy applications and process efficiency innovations are all required to tackle global emissions. Some of these first and second generation lower carbon or fuel switch technologies are expected to merge and support future methane applications and opportunities (35).

An extensive technoeconomic and viability review paper was presented in parallel by the partners in C123, the reader is directed there for further details (6). In the present paper, technical progress and remaining challenges are reviewed.

Disruptive technologies need to evolve to support new challenges including biomethane composition (higher amounts of CO2 in the gas), alternatives to natural gas flaring, transformations to easy-to-transport chemicals, hydrogen production and carbon capture, utilisation and storage (CCUS). Current stranded natural gas reserves opportunities include compressed natural gas (CNG), gas to liquids (GTL), gas to solids (GTS) (also known as solidified natural gas (SNG)) and gas to wire (GTW). GTL increases the ease of transport through a physical change of the natural gas into a liquid (7). Two additional state-of-the-art utilisation options include gas to polymers (GTP) and gas to olefins (GTO). For both GTO and GTP, natural gas is converted into syngas, which is used to produce methanol as the feedstock source for the methanol to olefins (MTO) process. The olefins, i.e. ethylene and propylene, are then converted into polymers, polyethylene and polypropylene.

C123 “Methane oxidative conversion and hydroformylation to propylene” is a €6.4 million European Union (EU) H2020 project running from 2019 to 2023. The consortium consists of 11 partners from seven different countries (Norway, Belgium, France, UK, Germany, Azerbaijan and The Netherlands) with six industrial partners, two research and technology organisations, two universities and one association, all of whom have extensive previous experience in national and international research and innovation projects. C123 will evaluate how to best valorise unexploited methane resources by an efficient and selective transformation into easy-to-transport liquids such as propanol and propanal. In C123 the selective transformation of methane to C3 products will be realised via a combination of OCoM and hydroformylation. The C123 process aims to validate the implementation in two energetically and economically relevant, complementary and sustainable routes depending on the natural gas source exploited:

  • Add-on route targeting propylene production as an add-on to large existing facilities (>140,000 tonnes year−1 of propylene – equivalent to >200,000 tonnes year−1 propanol)

  • Modular route targeting decentralised modular production unit (~10,000 tonnes year−1) of high value propanol or propanal that can be easily transported for further transformation into propylene or other products.

C123 will explore and evaluate the viability of this technology for biogas, associated gas and marginal gas fields, all with different challenges. Biogas is produced from organic matter such as sewage sludge, cow manure, agricultural waste and the organic fraction of municipal solid waste. Large concentrations of CO2, about 36%, and impurities such as hydrogen sulfide (100–10,000 parts per million (ppm)) are usually found in biogas. Associated petroleum gas (APG), is a form of natural gas found with deposits of petroleum, either dissolved in the oil or above the reservoir. Associated gas is often wasted by flaring, under-utilised in low value applications such as onsite electricity generation or reinjection for enhanced oil recovery, or sold. Marginal fields are abandoned or non-developed fields that can have limited economic viability, unfavourable crude oil characteristics or high gas and low oil reserves. Marginal gas reserves account for approximately 15% of the world’s proven gas reserves.

All C123 technologies exist at TRL3, and the objectives of C123 are their further development to TRL5 by an optimised integration of catalyst and process. The C3 commodity chemicals propanal and propanol can be transformed further into propylene and fed into the US$6 billion polypropylene market or transformed into other valuable chemical products. The breakthrough innovation is the replacement of propylene production via the very energy intensive steam cracking process with production by less energy demanding and more selective build-up from smaller molecules.

The C123 transformation of methane into C3 chemical building blocks will be developed through in the technical work packages (WPs) WP2, WP3 and WP4 described in Figure 1. The goal will be optimisation of the overall carbon and energy efficiencies and cost effectiveness of the integrated OCoM and hydroformylation processes through the application of a set of collaborative technologies involving both catalyst development and formulation and reactor design.

Fig. 1

C123 work package structure and consortium partners: Johnson Matthey, SINTEF, CNRS, Ghent University, Total, Linde, Axel’One, Process Design Center, Arkema, Ayming, and Azerbaijan Academy of Sciences

C123 work package structure and consortium partners: Johnson Matthey, SINTEF, CNRS, Ghent University, Total, Linde, Axel’One, Process Design Center, Arkema, Ayming, and Azerbaijan Academy of Sciences

The expected major advancements in WP2 OCoM with respect to the state-of-the-art are the achievement of a higher methane conversion per pass, simpler heat management, higher energy efficiency, better carbon utilisation and an optimum product stoichiometry for an efficient hydroformylation process. The latter will be realised by tuning the output of the OCoM process to provide the optimal C2H4:CO ratio. Some hydrogen, required for hydroformylation and also processes downstream of the hydroformylation step, will be formed during OCoM, but optimising the amount of hydrogen is not part of the overall targets of OCoM. Any extra hydrogen for the overall process will be supplied externally. The hydroformylation step will need to tolerate CO2 in the reactor feed, as that is provided by both the feed gas and the byproduct recycle. C123 will thus improve the atom economy and will circumvent the bottlenecks of the state-of-the-art oxidative coupling of methane (OCM) process which optimises only the ethylene production.

The goal of WP3 is production of the liquid C3 intermediates propanol and propanal through the development of a heterogeneous hydroformylation catalyst and process optimised for conversion of the OCoM effluent. This is advantageous for transportation and can be used for on-demand production of propylene by dehydration of propanol, or for further conversion of propanal to valuable downstream chemicals propionic acid. While industrial hydroformylation is a homogeneous process, a heterogeneous catalyst for the C123 hydroformylation is envisaged, allowing simplified separation and global process integration with OCoM.

WP4 will comprehensively develop and optimise process concepts from the simultaneous tuning of the catalyst properties, the operating conditions and the reactor configuration. It includes an innovative integrated reactor design that optimises heat management and transfer, mass transfer and recycling, thus improving energy and carbon efficiency, as well as achieving high product yields. This requires an optimal combination of the two processes, including possible equalisation of the operating pressure (around 10 bar) of both OCoM and hydroformylation in order to minimise the costs of pressurisation and improve reactor integration efficiency. Further, the additional reaction steps, the hydrogenation of propanal and dehydration to propylene, as well as appropriate purification and separation steps need to be efficiently included. The C123 process innovation is expected to result in an increase in carbon efficiency of at least 25%. Overall, at least 30% of fossil fuel consumption can be saved, and this can potentially increase up to 100% when any external hydrogen required by the overall process is electrolytically generated with electricity from renewable energy sources.

Oxidative Conversion of Methane

For about four decades, i.e., since the pioneering work of Keller and Bhasin, (8) OCM into ethylene has been a goal of the petrochemical industry. It has made scientists and industrials dream of converting a low-value feedstock fuel, such as natural gas or methane into ethylene, i.e., the base chemical with the highest global production volume. The promising perspectives offered by this reaction came with severe challenges. Indeed, methane oxidative coupling products such as ethane and ethylene are more easily activated than the reactant methane by the typically employed metal oxide catalysts, such as Li/MgO, Sr/La2O3 and NaWMn/SiO2 (9). Basicity was recognised as an interesting catalyst property to reduce the interaction between ethylene and the catalyst. Nevertheless, C2+ yields seldomly exceeded 20% not to mention 30% which, at times, was considered as a minimum threshold value for commercial viability, see Figure 2. The oxidative character of the reaction comes with a pronounced exothermicity, rendering temperature control difficult and triggering parasitic phenomena at the high reaction temperatures, i.e., 800°C or higher, such as wall effects in the case of improper reactor material selection.

Fig. 2

C2 selectivity as a function of the methane conversion for the OCM catalyst library gathered by Kondratenko et al. Image reprinted from (9), Copyright 2014, with permission from Elsevier / Republished with permission of Royal Society of Chemistry, from (10)

C2 selectivity as a function of the methane conversion for the OCM catalyst library gathered by Kondratenko et al. Image reprinted from (9), Copyright 2014, with permission from Elsevier / Republished with permission of Royal Society of Chemistry, from (10)

Almost the entire periodic table has been probed for finding the best suited elements to be included in OCM catalysts (11). Li/MgO and its tin promoted version belonged to the first generation of investigated catalysts and provided good perspectives, despite shortcomings with respect to stability. La2O3 and SrO2 were other catalysts that resulted in high activities at the expense of the C2 selectivity. More recently, NaWMn on SiO2 has been identified as a more moderately active but more selective catalyst. These catalysts have been studied in a series of European integrated projects, including, among others, ‘Towards Optimised Chemical Processes and New Materials Discovery by Combinatorial Science’ (TOPCOMBI) and ‘Oxidative Coupling of Methane followed by Oligomerization to Liquids’ (OCMOL), and within C123 they constitute the benchmark materials (12, 13). In addition to a better understanding of these catalysts in these projects, the perception arose that no adequate combination of catalyst and operating conditions was available to allow an economically viable, single-pass conversion of methane into ethylene via oxidative coupling with a sufficiently high selectivity. It became clear that, rather, an entire process concept would be required to meet this purpose, an aspect which was also recognised by Siluria Technologies, USA, who were the first to implement OCM technology at the pilot scale.

The necessity of a proper process concept was already recognised. The OCMOL project proposed the integration of OCM with (dry) methane reforming, mainly to recuperate the heat provided by OCM, see Figure 3.

Fig. 3

Simplified process flow sheet for the OCMOL process concept Reprinted from (12), Copyright 2011, with permission from Elsevier

Simplified process flow sheet for the OCMOL process concept Reprinted from (12), Copyright 2011, with permission from Elsevier

The resulting syngas was subsequently valorised by methanol synthesis and MTO conversion. Whereas each of the individual process steps could be designed in a competitive manner, the needs imposed on the separation proved to go significantly beyond the state of the art. Moreover, only about 10% of the carbon in the end products was the result of oxidative coupling, while 90% was incorporated by the conventional syngas route. Siluria Technologies took advantage of the presence of non-negligible amounts of ethane in shale gas to accommodate a post-bed ethane cracking zone in their process concept, which of course imposes constraints on the feedstocks that should be processed.

Considering the lessons learned from the work on OCM, the following C123 hypotheses and constraints were put forward:

  • OCM remains an interesting route for methane upgrading

  • Exploration of OCM catalysts and operating conditions has not resulted in an outstanding combination and is unlikely to do so in the near future, if at all

  • The key towards economic viability is situated in an adequate process concept, provided that separation efforts can be properly tailored.

As an answer to the above, the concept of the OCoM was conceived, still critically relying on OCM, yet potentially embodying a variety of alternative methane conversion routes not just to maximise the C2 yield, but to produce an effluent suitable for hydroformylation. Apart from an OCM reactor, the OCM process will also take advantage of methane conversion via reforming and partial oxidation and by incorporating a water-gas shift reactor. The heat produced by OCM can still drive the reforming reaction as was the case in the OCMOL project; however, the goal in C123 is to mix the effluents into an adequate proportion for hydroformylation rather than perform difficult separations. Achieving full oxygen conversion in the OCM reactor will be key to achieve this goal. The CO2 produced can be recycled to the OCM reactor for CO2 induced OCM or to the reforming reactor for dry reforming. Ethane formed can be dehydrogenated oxidatively or by interaction with CO2. Subsequent hydroformylation to propanal and propanol efficiently combines products formed in relatively high amounts, i.e., carbon monoxide and ethylene, which would, otherwise, require difficult separation steps.

In order to establish a proper C123 process implementation, research advances are required along various directions. A suitable combination of catalytic material and operating conditions is required. However, this time the goal is not to maximise the per pass ethylene yield but to produce the most promising product spectrum: hydrogen, carbon monoxide and ethylene for subsequent hydroformylation. As a result, an innovative process concept is required for the efficient conversion of methane into a hydroformylation feedstock (14). The common denominator, serving both challenges, is the fundamental modelling of the reaction and transport phenomena involved, both at the catalyst pellet and the reactor scale, see Figure 4. Such a fundamental model is the mathematical translation of the experimental insight into the investigated system. The goal is not to prove the model, but rather to indicate when the model (hypothesis) is not adequate and, hence, it is an extremely useful tool to assess the potential validity of model assumptions.

Fig. 4

Scheme of the heterogeneous reactor model accounting for transport limitations. Reprinted (adapted) with permission from Kechagiopoulos et al. Copyright (2014) American Chemical Society (14)

Scheme of the heterogeneous reactor model accounting for transport limitations. Reprinted (adapted) with permission from Kechagiopoulos et al. Copyright (2014) American Chemical Society (14)

Within C123, the activities on OCoM are, hence, focused along three lines: (a) further catalyst development and operating conditions screening; (b) microkinetic modelling of the OCoM reactions; and (c) process concept development. As evident from the above, the further catalyst development and operating conditions screening mainly serves the need of providing the relevant information for evaluating various alternative process concepts and, of course, as a basis for the training of the OCoM microkinetic model. Three benchmark catalysts, i.e. two Sr/La2O3 catalysts and one NaWMn/SiO2 catalyst, have been shared among the project partners by Johnson Matthey, UK. A crucial aspect for a proper performance evaluation is the pretreatment of the catalyst samples. Bosch et al. (13, 15) specifically focused on the crystal phases obtained in nanoparticle catalysts and identified some interesting differences as a function of the calcination atmosphere, i.e. whether or not it contained oxygen, see Figure 5.

Fig. 5

In situ X-ray diffraction analysis for lanthanum oxide with increasing temperature under a nitrogen or air atmosphere

In situ X-ray diffraction analysis for lanthanum oxide with increasing temperature under a nitrogen or air atmosphere

The microkinetic model, see Figure 4, accounts for intraparticle gradients for reactants, products, radicals and surface species. Particularly for the most reactive radicals and surface species, significant gradients were found to develop, even if reactant and product concentrations had a negligible gradient. According to the model, methane is mainly activated by oxidised sites on the catalyst surface. Practically no methane activation occurs in the interstitial phase, i.e. outside of the catalyst particles. The coupling steps, on the other hand, do proceed homogeneously, both in the catalyst pores (intraparticle phase) and between the catalyst pellets (interstitial phase). Highly porous catalyst materials appear to hold a lot of promise, on the conditions that sufficient surface sites remain for the methane activation. More particularly within C123, the impact of CO2 in the feed on the catalyst performance is assessed. Limited experimental information is available and, at present, both positive and negative impacts are reported. Hence, additional experimentation at intrinsic kinetics conditions will be performed to elucidate the true behaviour. In the meantime, preliminary simulations have already been performed to probe the capability of the available microkinetic model to account for the effects induced by CO2. Indeed, CO2 formation is included already in this model, see Table I for the considered elementary steps. However, now that CO2 is assuming the role of the oxidant, there may be a need for tailoring the rate coefficients of the already included steps involved in the production and consumption of CO2 and incorporation of additional reaction steps. For the time being, a moderating effect on the methane conversion has mainly been observed after including CO2 in the considered feedstock.

Table I

Elementary Reaction Steps Contained in the Oxidative Coupling of Methane Microkinetic Model

Gas phase reactions
CH4+O2⇆CH3•+HO2 CHO•+M⇆CO+H•+M C2H4+CH3•⇆C2H3•+CH4
CH4+H•⇆CH3•+H2 CHO•+O2CO+H⇆O2 C2H3•+M⇆C2H2+H•+M
CH4+O•⇆CH3•+OH• CO+HO2•⇆CO2+OH• C2H3•+O2⇆C2H2+HO2
CH4+OH•⇆CH3•+H2O C2H6+H•⇆C2H5•+H2 C2H3•+O2⇆CH2O+CHO•
CH4+HO2•⇆CH3•+H2O2 C2H6+OH•⇆C2H5•+H2O C2H5•+CH3•⇆C3H8
CH3•+O2⇆CH3O•+O• C2H6+CH3•⇆C2H5•+CH4 C3H8+H•⇆C3H7•+H2
CH3•+O2⇆CH2O•+OH• C2H5•+HO2•⇆CH3•+CH2O+OH• C2H4+CH3•⇆C3H7
CH3•+ HO2•⇆CH3O•+OH• C2H5•+M⇆C2H4+HO2 C3H7•⇆C3H6+H•
CH3•+CH3•+M⇆C2H6+M C2H5•+O2⇆C2H4+HO2 O2+H•⇆OH•+O•
CH3O•+M⇆CH2O+H•+M C2H4+O2⇆C2H3•+HO2 O2+H•+M⇆HO2•+M
CH2O+OH•⇆CHO•+H2O C2H4+H•⇆C2H3•+H2 HO2•+HO2•⇆O2+OH•+OH•
CH2O+HO2•⇆CHO•+H2O2 C2H4+OH•⇆C2H3•+H2O H2O2+M⇆OH•+OH•+M
CH2O+CH3•⇆CHO•+CH4 C2H4+OH•⇆CH3•+CH2O HO2•+HO2•⇆O2+H2O2
Catalytic reactions
O2+*+*⇆O*+O* CH3•+O*⇆CH3O* C2H3O*+O*⇆CH2O*+CHO*
CH4+O*⇆CH3•+OH* CO2+*⇆CO2* H2+O*⇆H•+OH*
C2H6+O*⇆C2H5•+OH* CH3O*+O*⇆OH*+CH2O* OH•+O*⇆O•+OH*
2OH*⇆H2O*+O* CH2O*+O*⇆CHO*+OH* H2O+O*⇆OH•+OH*
H2O*⇆H2O+* CO*+O*⇆CO2*+* H2O2+O*⇆HO2•+OH*
C2H5•+O*⇆C2H4+OH* CO+*⇆CO* CH3O•+O*⇆CH2O+OH*
HO2•+O*⇆O2+OH* C2H4+O*⇆C2H4O* CH2O+O*⇆CHO•+OH*
HO2•+*⇆OH•+O* C2H4O*+O*⇆C2H3O*+OH* CHO•+O*⇆CO+OH*
C2H4+O*⇆C2H3•+OH*

Awaiting more detailed results from catalyst development, operating conditions screening and microkinetic modelling, the process concept development has already been started by making a stoichiometric analysis. The minimum amount of methane for producing a maximum amount of hydroformylation feedstock is determined from stoichiometric considerations and idealistic conversion scenarios. Such a scenario will serve as a benchmark for comparing actual implementations in a later stage of the project, initially based on literature reported kinetics, later based on microkinetics developed as part of C123.

Hydroformylation of Ethylene into C3 Commodities

Hydroformylation is the catalytic synthesis of an aldehyde from an alkene and a synthesis gas mixture. Aldehydes are convenient building blocks for a large range of organic compounds, including alcohols, carboxylic acids and amines, making hydroformylation a commercially attractive synthesis process (16). The reaction mechanism proceeds through a series of fundamental organometallic reactions, including ligand exchange, alkene insertion, oxidative addition and reductive elimination (17). Rhodium complexes are the most active catalysts, and although more expensive, they have generally replaced less active and selective cobalt catalysts. Both linear and branched aldehydes are produced from all C3+ alkenes, and the linear:branched ratio can be controlled via the reaction conditions, particularly the phosphine ligands bound to rhodium. Linear aldehydes are generally the preferred products.

The reaction parameters have been well established for nearly all alkenes, in particular propylene, since the hydroformylation product from propylene, n-butyraldehyde, is so industrially important. However, the literature is rather scarce on the conditions for the hydroformylation of ethylene, a simpler molecule with no stereoselectivity issues (1821).

As discussed above, coupling a robust heterogeneous ethylene hydroformylation process with OCoM could disrupt the current technology. Benefits include a more circular economic process, responsible use of stranded, flared or biogas and improved transport in the value chain. The OCoM step is a high temperature (650–900°C), atmospheric pressure reaction. When tuned properly, this OCoM process will provide an optimised feedstock of ethylene and carbon monoxide for the hydroformylation process, which operates around 100°C and 20–40 bar pressure in the current industrial, homogeneous processes. A suitable heterogeneous catalyst will keep both processes in the gas phase, reduce precious metal losses during operation and address corrosion issues associated with solvent use. In addition to a tuned feedstock for hydroformylation, another operational goal is the reduction of the pressure difference between the two parts of the process (i.e. OCoM and hydroformylation). A detailed understanding of the reaction variables for homogeneous ethylene hydroformylation will guide catalyst and process development of a heterogeneous version of the reaction and the overall C123 process scheme.

The integrated process will attempt to avoid interstage purifications and pressure switches between each step. That means that the OCoM will have to operate under pressure, but also that the hydroformylation might have to operate at lower pressure than usual, and in a stream that contains CO2, water and other impurities from previous stage such as residual methane and ethane. The hydroformylation C123 WP goals are development of stable heterogeneous hydroformylation catalysts, development of an integrated engineering concept for hydroformylation and demonstration of the process in an industrial environment at TRL5.

A screening study, involving both batch scale and high-throughput experiments, was carried out to determine the optimum catalyst and reaction parameters for the homogeneous ethylene hydroformylation. 11 different rhodium catalysts and 13 different phosphines with varying electronic and steric profiles (see Table II) were screened under two different CO:C2H4:H2 feed gas compositions, several different pressures, different feed gas:catalyst ratios, a range of excess phosphine molar ratios and with argon or CO2 as diluent gas. In all cases, only propanal was detected as product. No propanol was detected, even at higher pressures and with an excess of hydrogen in the feed gas.

Table II

Phosphines Screened in Batch Scale and High Throughput Studies

As shown in Figure 6, the best catalysts are the known hydroformylation catalysts Rh(CO)H(PPh3)3, 1, and Rh(CO)(acac)PPh3. A 10–20 fold excess of phosphine proved optimal, at least when PPh3 was used. The high throughput screening studies showed that a 10-fold excess of the π-accepting phosphite ligands P(Otol)3, P(O-tBu2Ph)3 and P(2-fur)3 gave activities on par with the benchmark ligand PPh3, but a definitive activity ranking of phosphines was difficult because of the high overall catalyst activity.

Fig. 6

TON values (mmolpropanal mmolcatalyst−1) for nine different rhodium catalysts compared during the screening process using 1:1:1 H2:CO:C2H4, 20 bar, 100°C and 1.5 h at 1000 rpm and 5 mg of catalyst in 5 ml of toluene

TON values (mmolpropanal mmolcatalyst−1) for nine different rhodium catalysts compared during the screening process using 1:1:1 H2:CO:C2H4, 20 bar, 100°C and 1.5 h at 1000 rpm and 5 mg of catalyst in 5 ml of toluene

To verify the high throughput results and investigate both the effect of CO2 and the catalyst loading on activity, a series of batch studies were performed, and the results are given in Table III. As can be seen from the first six entries in Table III, there is very little difference in the turnover number (TON) for propanal formation, regardless of ligand, feed gas pressure or diluent gas. At least for the modest pressures and low C2H4:Rh ratios, CO2 does not have an adverse effect on propanal TON. The enhanced effect of the π-acid ligands is most pronounced with the highest C2H4:Rh ratios. While P(Otol)3 gives slightly higher TON than PPh3 with the highest ratios (compare entries 8 and 9 with entries 11 and 12), the effect of the ligand P(2‐fur)3 is dramatic, with this ligand giving TONs 2.5 times greater than those with PPh3 (compare entries 8 and 9 with entries 17 and 18).

Table III

Effect of Changes in Diluent Gas, Feed Gas Pressure, Catalyst Loading and Phosphine on Turnover Number to Propanal

Entry Phosphinea Pressure, barb Diluent gasc Ethylene:rhodium ratiod TONe
1 PPh3 10 CO2 185 128
2 PPh3 10 Argon 115 130
3 PPh3 20 CO2 360 233
4 PPh3 20 Argon 370 268
5 P(Otol)3 20 CO2 260 219
6 P(Otol)3 20 Argon 295 221
7 PPh3 40 Argon 970 260
8 PPh3 40 Argon 16,800 4835
9 PPh3 40 Argon 49,400 12,700
10 P(Otol)3 40 Argon 970 250
11 P(Otol)3 40 Argon 16,800 6000
12 P(Otol)3 40 Argon 49,400 13,200
13 P(O-tBu2Ph)3 40 Argon 970 320
14 P(O-tBu2Ph)3 40 Argon 16,800 5700
15 P(O-tBu2Ph)3 40 Argon 49,400 10,700
16 P(2-fur)3 40 Argon 970 425
17 P(2-fur)3 40 Argon 16,800 13,900
18 P(2-fur)3 40 Argon 49,400 31,500

The high selectivity of the hydroformylation reaction to propanal is an important factor for the process design and impact of C123. Propanol is the preferred product over propanal since it is easier to transport and requires only a dehydration step to the valuable C3 product propylene. The economic and sustainability impact of an extra hydrogenation process step for the conversion of propanal to propylene will need to be evaluated. On the other hand, the selectivity for propanal even with excess hydrogen will lessen the need for hydrogen from the OCoM step, which may favour the OCoM process development.

Importantly, the production of only propanal in the homogeneous reaction does not guarantee that the gas phase, heterogeneous hydroformylation reaction will show the same selectivity. These results will regardless be very valuable in the design of the heterogeneous catalyst that will be developed in the next phase of the project, in addition to supporting the modelling work at Ghent University (UGent), Belgium, and in building a set of experimental data for the hydroformylation process optimisation and the WP4 process integration toolbox.

As indicated above, a gas phase hydroformylation reaction is preferred for the C123 process. While there are some examples of heterogeneous hydroformylation catalysts (1922) the development of such a catalyst with the same activity and selectivity as the widely-used homogeneous ones remains a challenge. The C123 approach for development of a heterogeneous hydroformylation catalyst will therefore involve a more traditional funnelling strategy. First generation catalysts will be synthesised by tethering appropriate organometallic rhodium complexes in porous supports. Testing and iterative synthesis will provide a set of innovative, heterogeneous hydroformylation catalysts that will achieve the key performance indicators (KPIs) for TRL4. Second generation hydroformylation catalysts will be developed from the first generation catalysts by using relatively well-established shaping residence time distribution (RTD) protocols to select one or two catalysts that meet the KPIs for TRL5. For the hydroformylation catalysts, a part of the risk management strategy will be the use of homogeneous catalysts as backup, while still pursuing project work.

Heterogeneous Material Synthesis Strategy Proposed

Johnson Matthey will functionalise high surface area silica surfaces with phenyl phosphine groups, and ultimately with rhodium complex catalysts, to form heterogeneous hydroformylation catalysts. Suitable organosilanes can interact with silica displacing surface silanol groups, creating a covalent bond. Two approaches have been selected for this functionalisation using ethoxy and methoxy silane organic precursors to anchor organic groups over the original silanol. Fumed silica, silicagel and templated mesoporous MCM-41 will be used to compare the effect of pore and surface area in the silica functionalisation.

The first approach will use an amine as an anchor group to then react the basic ligand with a rhodium salt, as shown in Figure 7. Aminopropyl trimethoxy silane grafted silicas have been widely reported in the literature as they can selectively remove acid molecules such as CO2 and hydrogen sulfide (23). Direct impregnation techniques can attach propyl amines to silica, but there is evidence of more ordered surface coverages and optimisation through a toluene excess silane reflux approach over dehydrated silica. Surface secondary amines can then react with phenyl phosphine groups, attaching rhodium organometallic complexes such as Wilkinson’s catalyst or 1 to the silica surface (2426).

Fig. 7

Example of possible interaction of a hydroformylation catalyst with amino propyl triethoxy silane functionalised silica. Silicas typically are functionalised with around 1 mmol g−1 amine groups (26)

Example of possible interaction of a hydroformylation catalyst with amino propyl triethoxy silane functionalised silica. Silicas typically are functionalised with around 1 mmol g−1 amine groups (26)

The second, more ambitious approach involves incorporation of a larger monophosphine organosilane precursor, 2-(diphenylphosphino)ethyl-triethoxysilane on silica, as shown in Figure 8. The surface anchored phosphine can then be coupled to rhodium salts such as [(COD)Rh(μ-Cl)]2 (COD = 1,5-cyclooctadiene), [(NBD)Rh(μ-Cl)]2 (NBD = norbornadiene) or [(COT)2Rh(μ-Cl)]2 (COT = cyclooctene) that can selectively incorporate other phosphines by sequential reaction with, for example, bis(diphenylphosphino)ethane dppe.

Fig. 8

Organosilane silica phenyl phosphine functionalisation followed by reaction with traditional rhodium coordination complexes to prepare a tethered hydroformylation catalyst

Organosilane silica phenyl phosphine functionalisation followed by reaction with traditional rhodium coordination complexes to prepare a tethered hydroformylation catalyst

The goal of the SINTEF, Norway, approach is to synthesise a metal organic framework (MOF) based material that has a large number of phosphines decorating the pores of the MOF. The idea is that, after introduction of rhodium to the material, a traditional organometallic reaction mechanism can be accessed, in that the rhodium has access to an abundance of phosphine moieties to both steer the fundamental reaction steps and prevent instability and leaching. This effect of this concept was illustrated by the incorporation of 1 into a (PTA)-MIL-1010(Cr) MOF (PTA = phosphotungstic acid). The PTA immobilised the rhodium complex within the MOF pores, yet provided homogenous catalyst-like selectivities in the hydroformylation of 1-octene in toluene (27).

Rather than incorporating the necessary phosphine moieties during the demanding MOF synthesis, we will investigate a post-synthetic modification approach called solvent-assisted ligand incorporation (SALI) (28). In particular, it has been shown that a range of ligands with pendant carboxylic acid and phosphoric acid groups can react with the μ3-OH functionalities of MOFs built up with Zr63-O)43-OH)4(H2O)4(OH)4 nodes. There are a wide range of MOFs with varying pore sizes and shapes that are built up from this inorganic building block, such as NU-1000, the UiO series and MOF-808 (29). Our hypothesis is that full incorporation of phosphine ligands with an appropriate tether within a zirconium MOF, followed by addition of an appropriate fraction of a rhodium complex such as 1, will provide a heterogeneous version of a homogeneous hydroformylation catalyst (see Figure 9).

Fig. 9

Schematic representation of a catalytic rhodium complex immobilised within a MOF with an excess of phosphine ligands within the pores

Schematic representation of a catalytic rhodium complex immobilised within a MOF with an excess of phosphine ligands within the pores

Our initial attempt to make a suitably tethered PPh3 variant, specifically (PPh3)2P(p-C6H4CH=CHCOOH) (see Equation (i)), provided instead the phosphine oxide 2. Reaction of 1 with the MOF NU-1000 provided evidence for incorporation of the tethered ligand into the MOF. Appropriately tethered ligands based on phosphites should be less prone to oxidation and have been synthesised.

(i)

The concept of porous macroligands, i.e. a porous solid acting as the organic ligand of a molecular complex, has been introduced and used recently by Canivet et al., at the National Centre for Scientific Research (CNRS) in Lyon, France, for the heterogenisation of active molecular catalysts to combine the advantages of high activity and versatility of molecular catalysts and sustainability of easy to separate and easy to recycle heterogeneous catalysts (30). Following this strategy Canivet’s team at CNRS will develop novel porous organic polymers which will embed efficient organometallic hydroformylation catalysts (3133). Porous organic polymers formed from functionalised PPh3 and biphephos have already been used as supports for the rhodium-catalysed hydroformylation of 1-octene in toluene and ethylene, propylene and 1-butylene in fixed bed reactor. Here, easily accessible phosphine or bipyridine based vinyl monomers will be used in controlled radical polymerisation leading to solid porous organic matrix with high surface area and pore accessibility (Figure 10). Further functionalisation with cobalt or rhodium precursors will give access to heterogenised and site-isolated hydroformylation catalyst within stable microporous structures.

Fig. 10

Synthetic strategies using phosphine-rich porous polymer Polyphos as macroligand for rhodium-based catalysts

Synthetic strategies using phosphine-rich porous polymer Polyphos as macroligand for rhodium-based catalysts

The high versatility of porous organic polymers will be used to advantageously tune the hydrophilic/hydrophobic balance of the hosting pore as catalytic nanoreactor, and the confinement within the micropore will play a crucial role by influencing transport, reaction rate and product selectivity. Moreover, the intrinsic swelling behaviour of porous organic polymers will ensure that the solubilised gaseous species will reach the active site while larger aldehydes or alcohols produced will freely transfer to the reaction medium.

Two microkinetic models will be developed for the hydroformylation of ethylene, i.e. one dedicated to the homogeneous and one to the heterogeneous process. The kinetic parameters will be determined via regression of the models to a comprehensive set of intrinsic kinetic data, i.e. data acquired in the absence of mass and heat transfer limitations. By performing such a detailed model construction, i.e. no rate determining steps are assumed, for homogeneous hydroformylation the critical steps in the selective conversion of ethylene to propanal can be unraveled. A distinction will be made between catalyst descriptors (for example, adsorption parameters) and kinetic descriptors (such as activation energy). Preliminary simulations using the model developed for homogeneous hydroformylation have shown that the increase of the propanal yield with the total pressure is nicely captured by the model.

Following the same principles a microkinetic model will be developed for heterogeneously catalysed hydroformylation, and similar relationships in terms of catalyst and kinetic descriptors will be established. This will allow the unravelling of the determining factors to optimise the heterogeneous catalyst activity and selectivity, and the models will be further used in the reactor design.

WP2 and WP3 will work in close collaboration with continuous exchange between both WPs as well as with WP4 in order to ensure overall integration. WP3 focus will be on the optimisation of the reaction and process conditions for maximised product yield and ethylene conversion, as well as achieving more active and more stable catalysts that can be operated at higher temperatures without deactivation and at lower pressures (close to those for OCoM) without decreasing conversion. This will be achieved through the combined development of heterogeneous catalysts optimised for operation in fixed reactor beds and maximum selectivity toward propanol with competitive performance with homogeneous catalysts and reactor design.

The results from OCoM (WP2) and hydroformylation (WP3) catalyst development and reactor design will be transferred into WP4 for the integrated process design and validation in relevant environment (TRL5) for both the modular and the add-on routes, to allow a conceptual design of the fully integrated units with all process steps, and the development of a possible scheme for an integrated commercial process.

Process Tuning and Integration

The process design of the C123 technology is characterised by the combination of several reactions which are performed under different conditions and the integration of required purification and separation steps. In addition to the OCoM and hydroformylation reactions described before as novel core elements, a hydrogenation and a dehydration reaction also have to be included in the process. Furthermore, purifications and separations need to be implemented. Although these are in principle based on state-of-the-art technologies, at this point improved or innovative concepts and solutions have to be taken into account. Only by consideration of the interaction and optimal integration of all steps and process operations can an efficient and sustainable approach matching the efficiency and sustainability targets of the C123 project be achieved. Accordingly, this chapter is focusing on the base considerations and key aspects of process design for an implementation on technical scale and under industrially relevant conditions.

Methane shows a lower reactivity towards oxygen than higher hydrocarbons and olefins are more reactive than paraffins. Therefore, it is no surprise that OCoM reactions suffer from low selectivity at high conversion. Only at low conversion are highly selective reactions, for example to ethane and ethylene, feasible, although the difficult separations and high recycle ratios have an overwhelming impact on process economics.

In conventional approaches of OCoM (9, 10), carbon monoxide is considered an undesired byproduct, requiring additional effort in process design for separation, further conversion and recycling. Siluria Technologies, for example, based its technology on methanation and recycling of carbon oxides in order to increase the overall process efficiency (34). In contrast, C123 is taking advantage from the carbon monoxide production; by allowing the reaction to produce equimolar amounts of ethylene and carbon monoxide, propanal can be further produced by hydroformylation. Subsequent hydrogenation to propanol and dehydration yields propylene as final product. Propylene is very important chemical key intermediate, and propanal and propanol could be potential value products.

The challenge of a process design is the number of subsequent reaction steps which have completely different demands on conditions, which makes the process complex and requires compromises and optimisation.

The OCoM reactor is under strong kinetic control (8, 35). Thermal runaways leading to total oxidation are always possible and need to be avoided by a careful reactor design. A low pressure helps to push back the typically unselective gas phase reactions. Nevertheless, the reaction heat release is tremendous and requires a very effective cooling. Also, temperatures and heat recovery are challenging. While it looks attractive to use endothermic ethane dehydrogenation to recover high temperature heat after the OCoM reactor, providing the respective ethane stream requires cryogenic distillation. The process limitations affect the reactor design and vice versa.

Reaction thermodynamics already indicate the required reaction conditions for the subsequent steps. In addition, certain vapour-liquid-equilibria (VLE) separations require a high pressure. As the OCoM pressure is low, the pressure staging of the overall process is accordingly also subject to an optimisation.

The hydroformylation reaction (14, 36) has an equilibrium limitation at high temperature and low pressure, (Figure 11) and is therefore usually performed at 15 bar or more, i.e. significantly above the OCoM pressure. While in conventional hydroformylation the reaction partners are the main components in the gas phase, for the C123 process the overall equilibrium conversion is further reduced by inert gases, as the partial pressure of the educts is decreased by inert dilution (including especially methane, ethane, CO2). Hence the process design has an impact on the maximum achievable hydroformylation conversion. The hydroformylation as targeted in the C123 project is designed as a heterogeneous system. In contrast to a homogeneous system, the catalyst is immobile and remains in the reactor avoiding dedicated efforts for catalyst separation and recycling.

Fig. 11

Equilibrium conversion of the hydroformylation reaction

Equilibrium conversion of the hydroformylation reaction

The propanal hydrogenation is again an equilibrium limited reaction performed at elevated but still limited temperature. In order to maximise the conversion, sufficient pressure is required (Figure 12). To provide the overall hydrogen demand for both steps (hydroformylation and hydrogenation) an external hydrogen source needs to be considered which is preferably based on renewable resources or energy.

Fig. 12

Equilibrium conversion of the hydrogenation reaction

Equilibrium conversion of the hydrogenation reaction

The dehydration is preferably performed at lower pressure and elevated temperature (Figure 13). Next to a beneficial increase of reaction rates and equilibrium conversion, typical catalysts for this reaction require a minimum temperature of >250°C. The endothermic dehydration from propanol to propylene can be performed in a heated reactor (for example, tube bundle fixed bed reactor) or in an adiabatic multi-stage reactor with intermediate cooling.

Fig. 13

Equilibrium conversion of the dehydration reaction

Equilibrium conversion of the dehydration reaction

Although the intention of the C123 project is to minimise the intermediate separation and purification effort, a minimum set of such process operations will be required (such as separation, drying). Due to different temperatures of the specific reactions, heat exchangers need especially to be implemented accompanied by the respective pressure drop.

The light unconverted gases hydrogen, carbon monoxide and ethylene, but also byproducts such as ethane, need to be separated from the hydroformylation product. Cryogenic separations themselves already require significant technical effort and equipment and are therefore expensive. If cryogenic separation cannot be avoided the effective removal of water and CO2 using, for example, adsorptive removal and drying over molecular sieves are mandatory and further increase the technical and financial effort. Accordingly low temperatures are preferably avoided to maintain the process efficiency. Further, to minimise the cryogenic effort a minimum pressure is also required for these steps. The column design requires the detailed knowledge of the column feed stream and therefore of the performance of all reactors. Again, the separation efficiency also defines the reactor feed streams. The C2/C3 separation gives a C3 product stream with low gas impurities. The overhead fraction contains different light molecules including some uncondensed C3. At this point of the process an extractive distillation can for example be used to separate a gas recycle from the C3 product, avoiding a cryogenic process step. A further separation of this gas recycle stream is not possible without a cryogenic process. Again, the OCoM selectivities highly impact the process design: if this stream cannot be sent to combustion or if some species shall be recovered due to other reasons, this stream could be either recycled to an existing petrochemical plant or the cryogenic separation needs to be implemented as its own process unit.

Due to numerous feedbacks and interferences between reactor performance, separation efficiency and the overall process due to operating conditions, heat integration and the influence of trace components, none of these designs can be done separately. Specialised solutions need to be identified and combined in an optimal manner to ensure high efficiency and sustainability of the overall process. Accordingly, this task requires special expertise not only in the basic principles of all individual process units – including especially reaction and separation steps but also in the technical implementation on industrial scale. Only a few companies specialised in engineering, procurement and construction (EPC) of world scale petrochemical plants such as Linde Engineering, Germany, have the appropriate knowledge and experience to develop and provide a reliable and sustainable technical solution.

Conclusions

The C123 project aims to develop new technology for the upgrading of stranded natural gas or biogas to the easy-to-transport C3 commodities propanal and propanol, which can thereafter be transformed to propylene for the growing polypropylene market. The technology development aims to improve upon OCM technology by encouraging the production of carbon monoxide in addition to ethylene in the OCoM process and to develop a heterogeneous hydroformylation catalyst that provides comparable activity and selectivity to the well-known homogenous process.

There are many challenges ahead for this idea as the OCoM and hydroformylation processes are very different in nature and need to be united in as efficient an overall process as possible. Specific issues that impact the direction of OCoM and heterogeneous hydroformylation catalyst development and the overall process include the following:

  • Should OCoM catalyst development emphasise ethylene production and accept a stoichiometric deficiency of carbon monoxide, or should a 1:1 mixture of ethylene and carbon monoxide be targeted? Does this ultimately depend on the methane feedstock and the location and size of the C123 process?

  • What is the best process design to merge the disparate pressure and temperature regimes for OCoM and hydroformylation?

  • How do the byproducts from each of the two process steps affect the other? Can extensive purification steps and large recycle streams be avoided?

Fortunately, the C123 project has an experienced consortium team that is tackling these issues in a unified catalyst and process development strategy, to bring this potentially disruptive technology to TRL5. C123 will also evaluate the process market viability and the end user requirements for the different final product opportunities that can be derived from C3 commodities. The methane sources and the challenges presented by stranded gas such as infrastructure and transport will also be reviewed.

The Authors


Alvaro Amieiro Fonseca is a principal scientist at Johnson Matthey, UK, and the hydroformylation WP3 coordinator in C123. Alvaro holds a PhD in catalysis from the University of Manchester, UK, and has over 20 years’ experience in catalysis and advanced materials research, supporting low carbon technologies and sustainable innovation.


Richard H. Heyn is Senior Research Scientist at SINTEF Industry, Norway, and coordinator of the C123 project. After a PhD in organometallic chemistry at the University of California, San Diego, USA, he joined SINTEF over 20 years ago, working in the areas of homogeneous catalysis and CO2 utilisation.


Morten Frøseth was educated in mathematics and chemistry at the University of Oslo, Norway, from 1992–2005. He has a Masters in Chemistry in the redox chemistry of metal organic complexes and a PhD in synthesis of novel metalorganic catalysts for polymerisation of olefins. He is currently employed as a research scientist at SINTEF Industry involved in projects ranging from organic chemistry to inorganic chemistry.


Joris W. Thybaut is a full professor in catalytic reaction engineering at the Laboratory for Chemical Technology (LCT) at Ghent University since October 2014. He’s an active executive committee member of the LCT with research focused on the kinetics of large-scale, heterogeneously catalysed reactions. Fundamental kinetic modelling is employed as a tool to acquire a better understanding of the elementary phenomena involved and exploit it for novel catalyst and process design.


Jeroen Poissonnier obtained his PhD in Chemical Engineering in 2018 under the guidance of Professor Thybaut and Marin on the topic of glucose reductive aminolysis aiming at unravelling and exploiting the complex combination of homogeneous and heterogeneously catalysed reactions behind it, supported by detailed multiscale modelling. As a postdoctoral assistant in the group of Professor Thybaut at the LCT he’s currently working in the fields of fundamental microkinetic and multiscale catalyst and reactor modelling to support the optimisation of existing and newly developed industrially relevant chemical processes.


After a PhD in Chemistry from the University of Neuchâtel, Switzerland, and postdoctoral work at Nagoya University, Japan, Jérôme Canivet was appointed CNRS researcher at the IRCELYON in 2010. He works at developing innovative catalytic processes for sustainable fine chemicals and energy. His research topics range from C–C coupling to asymmetry, photocatalysis and green fuels production. He further aims at exploiting the confinement of molecular catalytic systems into porous structures for the improvement of their catalytic activity and selectivity, and he is coordinating cooperative projects on this topic.


Andreas Meiswinkel studied Chemistry and performed his PhD thesis at the Max-Planck-Institute for Coal Research in Mülheim, Germany. Since he joined Linde Engineering in 2005 in research and development (R&D) his focus is in petrochemistry and catalysis in technical processes. After several occupations at commercial plants – especially during startup and troubleshooting – he became responsible as technology manager for linear α-olefin technologies. Another main topic is the development of alternative – especially oxidative – processes for olefin production. Since 2012 he is Group Leader R&D Petrochemicals.


Hans-Jörg Zander is a chemical engineer. After his PhD thesis in reaction engineering in 1999, he joined Linde Engineering. His focus is reaction kinetics, thermodynamics, fluid dynamics, mass and heat transfer, numerical mathematics and process simulation. The main topics are the process design, improvement and optimisation of static equipment as well as the development of new and innovative concepts. This also includes the development and implementation of numerical design models with a focus on chemical reactors and absorption columns.

By |2021-04-06T11:38:48+00:00April 6th, 2021|Weld Engineering Services|Comments Off on A Disruptive Innovation for Upgrading Methane to C3 Commodity Chemicals

“Accelerating the Transition to a 100% Renewable Energy Era”

Johnson Matthey Technol. Rev., 2021, 65, (2), 330

Introduction

“Accelerating the Transition to a 100% Renewable Energy Era” is part of the series Lecture Notes in Energy that contains 24 papers from multiple authors. The notes provide a topical and comprehensive source of information on achieving the transition to a low-carbon energy system, which is essential in the fight against climate change as we transition from our use of fossil fuels to clean energy.

The book provides in-depth analysis of the various solutions that will contribute to this change, such as hydrogen fuel, low carbon buildings and cities, security of supply, energy grids and energy storage. The collection of papers provides the necessary data, case studies and analysis to frame the topic and explore the challenges and potential solutions.

Background

There has been a fundamental change in our awareness of our connection with the natural environment. In January 2020, Australia experienced devastating wildfires, and there was significant flooding in the UK. At the same time, a new zoonotic virus, COVID-19, was beginning to spread around the world. It was more evidence, if any were needed, that there is a clear link between our actions and the natural world. The subsequent COVID-19 lockdowns, where people had to stay at home in their local areas, also enabled a deeper connection with nature as we spent more time at home or outdoors and were able to see the change in seasons and hear the birdsong instead of traffic. Air quality in many cities also improved.

Reducing our impact on the environment is critical if we are to avoid the acceleration and escalation of climate change and reduce the likelihood of future pandemics. Quite simply, we are running out of time and yet many of the technologies and solutions are already available. In the UK, the Government is responding to the upsurge in public sentiment around these issues by recently announcing its Ten Point Plan (1) and is looking to put land stewardship at the centre of farming. An ambitious greenhouse gas reduction target of 68% by 2030 has been set and the sale of new petrol and diesel vehicles will cease in 2030. Later in 2021, Glasgow is hosting the crucial 26th United Nations Climate Change Conference of the Parties (COP26) meeting (2). There is cause for optimism although challenges still remain. Understanding the deployment of new technology will be central to achieving our climate goals.

Challenges, Solutions and Technologies

This book represents a comprehensive source of information on renewable energy in terms of the various challenges, solutions and technologies. Each chapter is presented in the format of a scientific paper, which is understandable given the academic and expert authors that have contributed. The papers are detailed and are mostly accessible although I would say that some chapters are for deep subject matter experts and require the full attention of the reader. The content can quickly become dense or assume expert knowledge. The book is designed for both postgraduates and non-specialist researchers.

From my personal perspective as a sustainability professional, I was able to benefit from reading the book. It has helped me to understand the renewable energy landscape and many of the specific topics within this. For example, in Johnson Matthey we are seeking to incorporate renewable energy at our manufacturing sites and are also developing our businesses in manufacturing hydrogen fuel cells and battery cathode materials for electric vehicles. Reading the book has deepened my understanding of the different technologies and the choices that are necessary.

The first chapters provide a helpful introduction before moving into more specific topic areas. The initial chapter shows the global energy consumption by sector for buildings (36%), industry (31%), transport (28%) and others (5%). The subsequent chapter states that pathways limiting global warming to 1.5ºC require rapid and extensive transitions in all sectors and also makes the point that there are many other advantages to a low-carbon future, such as improved air quality and social prosperity. Progress has been slow but there is evidence for optimism with an increase in renewable electricity generation of around 3.1% per year between 2010 and 2016, which could approach 100% by 2050. Worryingly, the paper also states that current fossil fuel production will peak between 2030 and 2035 but would have needed to peak in 2020 to align with the Paris Agreement goals (3).

The subsequent chapters build upon the introduction by presenting deep-dives into the opportunities and challenges that have been outlined. I particularly enjoyed reading the papers associated with the role of hydrogen, as this is an important growth area for Johnson Matthey and it is a fantastic resource for all those that wish to deepen their understanding. Other papers investigate the challenges and solutions associated with energy storage and supply, either for hydrogen or the complexities of moving away from centralised electricity storage to microgrids, and address the challenges of intermittent supply from renewable sources (the phrase ‘dark calm’ is a term that I was not aware of in this context). These technologies and challenges are likely, however, to touch our lives over the coming years as we transition to a low-carbon economy and should therefore be of interest to all, not just those working in this topic area.

Conclusions

This book presents a comprehensive and detailed analysis on how to transition to a renewable energy future. It will be of value to anyone with an interest in the topic and will be particularly valuable to those that are working in this field, such as researchers or those in the corporate environment. The papers (lecture notes) are scientific and detailed and require the reader’s full attention and in some instances I would argue they require a certain amount of pre-existing subject matter expertise.

In conclusion, the book is a curation of lecture notes that has been successful in providing a holistic and topical analysis of the challenges and solutions related to the urgent need for decarbonising our energy systems. As such, it is an asset to those wishing to improve their knowledge in this arena.

“Accelerating the Transition to a 100% Renewable Energy Era”

“Accelerating the Transition to a 100% Renewable Energy Era”

By |2021-04-01T12:59:58+00:00April 1st, 2021|Weld Engineering Services|Comments Off on “Accelerating the Transition to a 100% Renewable Energy Era”

The Position of Ammonia in Decarbonising Maritime Industry: An Overview and Perspectives: Part II

Johnson Matthey Technol. Rev., 2021, 65, (2), 291

1. Cost Estimations

The capital investment needed to achieve the IMO target of reducing carbon emissions from shipping by at least 50% by 2050 would be approximately US$1–1.4 trillion from 2030 to 2050 if green ammonia is adopted as primary zero-carbon fuel, according to the analytical work conducted by University Maritime Advisory Services (UMAS) and Energy Transitions Commission (ETC) and published as a brief by the Global Maritime Forum, an industry group backed by shipping and port operators in January 2020 (2). If shipping were to fully decarbonise by 2050, this would require extra investments of approximately US$400 billion over 20 years, making the total investments needed between US$1.4–1.9 trillion. The report claims “Under different assumptions, hydrogen, synthetic methanol, or other fuels may displace ammonia’s projected dominance, but the magnitude of investments needed will not significantly change for these other fuels.”

While making the calculations, the authors broke down the investment into two main areas: (a) ship related investments, which include engines, onboard storage and ship-based energy efficiency technologies; and (b) land-based investments, which comprise capital costs for hydrogen production, ammonia synthesis and the land based storage and bunkering infrastructure. As shown in Figure 1, the biggest share of investment is needed in the land-based infrastructure and production facilities for low carbon fuels, which make up more than 85% of the total investment. Hydrogen production via water electrolysis takes up around half of the total land-based investments needed, while ammonia synthesis, storage and bunkering infrastructure fulfil the other half. Only 13% of the investments needed are related to the ships themselves, which include the machinery and onboard storage required for a ship to run on ammonia both in new build ships and, in some cases, for retrofits.

Fig. 1

(a) Aggregate investment for ammonia production via different routes; (b) capital cost breakdown for green ammonia production to decarbonise shipping by 2050. Redrawn using data in (3)

(a) Aggregate investment for ammonia production via different routes; (b) capital cost breakdown for green ammonia production to decarbonise shipping by 2050. Redrawn using data in (3)

In addition to capital costs, the operational costs should also be considered while assessing the long-term economic feasibility and identifying the levelised cost of (green) ammonia (LCOA). It is outlined by Cédric Philibert at the IEA that “ammonia production in large-scale plants based on electrolysis of water can compete with ammonia production based on natural gas, in areas with world-best combined solar and wind resources.” Lately, this statement has been confirmed by Nayak-Luke et al. who found that with the current technology, islanded green ammonia can only be produced at US$473 per tonne at the most favourable geographic locations, but by 2030 this will decrease to a highly competitive US$310 per tonne (4). They have identified five key variables that have a significant impact on the estimated LCOA for islanded production which are levelised cost of electricity, electrolyser capital expenditure, minimum Haber-Bosch process load, maximum rate of Haber-Bosch process load ramping and renewable energy supply mix (5, 6). In practice, a combination of improvements on these key variables in a convenient geographical location (i.e., with favourable supply profiles) has the potential to make this carbon-free process economically viable for the first time and replace conventional ammonia production. Nevertheless, these calculated values are even now cheaper than the current anhydrous ammonia price, which is in the range of US$500–600 per tonne in the US (7) but still more expensive than LNG and MGO (8). Therefore, a key component of the commercial adoption of green ammonia as an energy vector in the future will probably be the level of incentives provided or regulation enforcing its use. The most likely incentive could come in the form of CO2 taxation and credits. Based on the calculations of Argus Media, UK, the CO2 pricing in Europe needs to be at least doubled to level the playing field for green vs. brown ammonia (9). Furthermore, the results reveal that significant utility grid backup is required for an all-electric ammonia plant built with present-day technologies. The total levelised cost of ammonia is driven in large part by the cost of producing hydrogen via intermittent renewable sources and operation of Haber-Bosch process. In order to reduce the costs, research is required to develop new, cost-effective yet highly efficient catalysts for electrolysers and ammonia production by either thermal or electrochemical methods.

2. Safety and Environmental Aspects

Safety and environmental hazards for selected marine fuels are presented in Table I. As seen from the table, all fuels pose hazards in some way. Compared to the alternatives, ammonia is less flammable, thus presents a lower fire risk. The risks from cryogenic burns are also lower than for liquid hydrogen or LNG as ammonia can be liquefied easily by increasing pressure to ~10 bar at room temperature or by cooling to –33°C at atmospheric pressure, due to strong hydrogen bonding between molecules.

Table I

Safety Data Information of Selected Marine Fuels (1015)

The main risks of ammonia arise from its toxic and corrosive nature. Ammonia is a gas at atmospheric pressure and room temperature, which is lighter than air. It has a strong odour, which can be detected at concentrations as low as 5 ppm; therefore, its smell provides an adequate early warning for a leakage. The US National Institute of Occupational Safety and Health (NIOSH) recommendations state that the maximum permissible time-weighted average (TWA) exposure of anhydrous ammonia for an 8 h workday of 40 h week is 25 ppm. The short-term exposure limit (STEL) or the concentration at which exposure of longer than 15 min is potentially dangerous is 35 ppm. The concentration at which the gas is immediately harmful to life or health (IDLH) is 500 ppm (16).

In addition, when anhydrous ammonia, either in gas or liquid phase, comes in contact with the human body, three types of injuries may result (17):

  • Dehydration: anhydrous ammonia is hydrophilic, meaning that it has a strong affinity for water. Hence any contact with human body will lead to water extraction from body tissue

  • Caustic burning: when ammonia combines with water from body tissue it forms ammonium hydroxide (Equation (i)) that can chemically burn tissue

  • Freezing: as liquid ammonia vaporises it removes heat away from body tissue causing frostbite in an instant.

Therefore, the existing safety principles and systems used throughout the global ammonia industry would need to be deployed on ships and the crew onboard need to be equipped with suitable chemically resistant protective clothing and breathing apparatus.

Ammonia is also labelled as very toxic to aquatic life with long lasting effect. When liquid ammonia is spilled directly into water, most of it will dissolve into the water forming a balance of mostly ammonium hydroxide and a little ammonia depending on the pH and temperature of the water (Equation (i)) (18):

(i)

The remaining ammonia will evaporate resulting in a gas cloud with unpleasant smell. The dissolved ammonia is a serious threat to aquatic organisms killing most in close proximity as lethal concentrations can easily be exceeded. Long lasting effects of ammonia spillage are related to the time that the aquatic life requires to restore its original state through the nitrogen cycle (Figure 2). In this cycle, dissolved ammonia species are converted to nitrite (NO2) and nitrate (NO3) by Nitrosomonas and Nitrobacter bacteria, respectively, which is then used by plants. As this process consumes part of the available oxygen in water, the oxygen for other organisms, especially for the ones that are higher up the food chain such as fish, becomes limited, thus threatening their lives.

Fig. 2

Illustration of nitrogen cycle in water

Illustration of nitrogen cycle in water

When ammonia is combusted, it releases NOx species. NOx in the atmosphere contribute to photochemical smog, the formation of acid rain precursors, the destruction of ozone in the stratosphere and to global warming (19, 20). Despite the detrimental effect of NOx, control methods for reducing NOx emissions are already widely in place in land-based industrial installations and in the transport sector. One of the most common techniques is selective catalytic reduction (SCR) or deNOx technology. In this process, a reductant gas (ammonia or hydrogen) is added to the NOx-containing exhaust gas which is then passed over a catalyst that converts the NOx (NO and NO2) to naturally occurring nitrogen and water (21, 22). The maritime sector has also had more than two decades of experience with SCR. More than a thousand SCR systems have been installed on marine vessels in the past decade (23). Despite the fact that SCR is a well-known process and the safe transportation and use of ammonia is well-established, it is clear that new applications will require careful risk assessment and additional control measures. If ammonia is going to be used as a new marine fuel, then the existing safety principles and systems used throughout the global ammonia industry would need to be adapted and deployed on ships to ensure that the risks of ammonia leakage and NOx formation are negligible. It has been reported that an average car needs only approximately 30 ml of ammonia per 100 km to neutralise any NOx emissions using SCR technology (24). If the vehicles run with ammonia as a fuel, this amount is unimportant with respect to the fuel tank volume. Similar calculations should also be performed for maritime sector in order to decide on the most feasible deNOx technology. The preliminary risk assessment forms using ammonia and hydrogen as marine fuels onboard and hazard mitigation strategies were reported by de Vries (25) which need to be improved and tested before implementation. It is also essential that the global use of ammonia at large-scale is well-thought out from a wider perspective in the roadmap. The effect of anthropogenic activities on the overall nitrogen cycle is generally overlooked in the literature. It has only been recently that MacFarlane and coworkers (26) provided a detailed discussion on cycling of nitrogen compounds and their environmental effects. As they stated, our understanding of the mechanisms of the global nitrogen cycle is not yet complete. Hence, further investment to basic scientific research is required to comprehend the environmental impacts of increased quantities of fixed nitrogen before implementing ammonia technology for transport. Finally, besides toxicity, the corrosive nature of ammonia also needs to be taken into account while selecting materials for storage and operation. Ammonia forms complexes with copper, brass and zinc alloys (27). Ammonia corrosion on these metals is even more drastic when there is some moisture. As previously discussed, ammonia is an alkaline reducing agent and it reacts with acids, halogens and oxidising agents.

3. Roadmap for the Adoption of Ammonia as a Marine Fuel

The roadmap for the adoption of green ammonia as a marine fuel involves alterations of two systems in parallel, which are the ammonia manufacturing process and shipping propulsion structure. This ammonia-based economy will emerge through multiple generations of technology development and scale-up in the next 30 years.

Haldor Topsøe, a Danish catalysis company, presented a roadmap to all-electric ammonia plants (28) at the 2018 AIChE Annual meeting. According to its vision and strategy, ammonia production will be decarbonised in the 2030s by electrifying the production of hydrogen and nitrogen feedstock. The company is currently working on development of solid oxide electrochemical cell (SOEC) powered by renewable sources to produce nitrogen and hydrogen syngas using water and air which will then be used as a feedstock for Haber-Bosch process. In 2025, its aim is to demonstrate the production of ammonia via SOEC and Haber-Bosch processes at a scale of 500–1000 kg ammonia per day. After that, it intends to commercialise the technology starting from 2030. Until SOEC technology is mature enough to substitute the current brown ammonia production method, the company is suggesting to use a hybrid system (conventional and electrified Haber-Bosch) to decrease the amount of CO2 emission whilst supplying the demand.

A more comprehensive roadmap to the ammonia economy has lately been published by Doug MacFarlane and coworkers (26). In this roadmap, the authors envisage renewable ammonia being produced in the future at a scale that is significant in terms of global fossil fuel use. The paper diagrams an evolution of ammonia synthesis through three overlapping generations of technology development and scale-up (Figure 3). Generation 1 (Gen1) involves the integration of sequestration or offsets to current-day Haber-Bosch ammonia production in order to bring the net carbon impact of the ammonia production to zero (blue ammonia). Generation 2 (Gen2) remains the Haber-Bosch process with existing and new plants, but hydrogen is derived from renewable sources (green ammonia). As the Haber-Bosch process is a well-established technology, the authors anticipate that ammonia production will remain dominated by it over the next two decades. Generation 3 (Gen3) rules out the need for the Haber-Bosch process by direct electrochemical conversion of nitrogen in water to ammonia. This renewable-powered entirely electrochemical ammonia production technology is expected to enter the market at scale as soon as it achieves commercial readiness index (CRI) 1 and start significantly contributing to global ammonia production thereafter, as plant size and capacity increases. The timeline of Gen3 to enter and dominate the market is highly dependent on progress in catalyst development. While several thousand catalysts were screened in the development of thermal ammonia synthesis, relatively few catalysts have been tested systematically for electrochemical activity. At present, the electrochemical ammonia production rates remain over an order of magnitude away from US DoE targets as mentioned in Section 2.2, Part I (1). Therefore, continuous development of routes to new materials, more control experiments and extended stability studies are necessary before the implementation of Gen3.

Fig. 3

Ammonia economy roadmap revealing current and projected contributions of the brown, blue (Gen1), green (Gen2) and electrochemical (Gen3) ammonia production technologies in terms of production volume in petawatt hours (PWh) vs. time at a scale of commercial readiness index (CRI). 1 PWh = 1012 kWh = ~193 million tonnes of ammonia based on LHV of 5.18 kWh kg−1. Data from (26). Copyright 2020. Reprinted with permission from Elsevier

Ammonia economy roadmap revealing current and projected contributions of the brown, blue (Gen1), green (Gen2) and electrochemical (Gen3) ammonia production technologies in terms of production volume in petawatt hours (PWh) vs. time at a scale of commercial readiness index (CRI). 1 PWh = 1012 kWh = ~193 million tonnes of ammonia based on LHV of 5.18 kWh kg−1. Data from (26). Copyright 2020. Reprinted with permission from Elsevier

A case specific policy analysis reported by the Organisation for Economic Co-operation and Development (OECD) (29) anticipates that it would be feasible to scale-up low-carbon ammonia production and deploy ammonia fuel technology swiftly enough to reduce the carbon emission from maritime shipping by up to 80% by 2035. In the OECD’s 80% carbon factor reduction scenario (Figure 4(a)), hydrogen and ammonia will fuel around 70% of the mix of ships. This, along with the increase in the uptake of biofuels (22%) and LNG (5%), could diminish the use of oil-based fossil fuels significantly to around 3% by 2035. Another scenario analysis performed by UMAS (3) suggests that ammonia is likely to represent the least-cost pathway for international shipping and play a leading role in replacement of fossil fuels with a rapid growth after 2040 and between 75–99% market share by 2050 (Figure 4(b)).

Fig. 4

(a) Fuel mix evolution between 2015–2035 for 80% carbon factor reduction (29); (b) 2050 scenario for the market share of fuels (3)

(a) Fuel mix evolution between 2015–2035 for 80% carbon factor reduction (29); (b) 2050 scenario for the market share of fuels (3)

The roadmap for the adoption of ammonia as a marine fuel was limited to the fuel mixing trajectories to reduce carbon emissions without specifying a specific timeline for the development of propulsion engine systems that are adapted to run with ammonia until the report of Environmental Defence Fund, USA, published in 2019 (30). The report focuses on ammonia in combustion engines and fuel cells. A possible roadmap for development and adoption of these technologies is depicted in Figure 5. The authors anticipate that the use of green ammonia in ship propulsion systems will most likely begin in the 2020s with modified ICE given that the shipping industry is dominated by the use of these engine types. MAN ES (31) and Alfa Laval, Sweden, (32) have already started developing a dual-fuel combustion engine to run with liquefied petroleum gas (LPG) and ammonia. Starting from 2020, further development is required in the use of green ammonia in fuel cells to pave their way for deployment in the 2030s. With the current state of technology readiness, the initial fuel cells are expected to be the PEM type that might give way to SOFCs over time.

Fig. 5

Technology roadmap for ammonia propulsion technologies. Copyright 2021 Environmental Defense Fund. Used by permission (30)

Technology roadmap for ammonia propulsion technologies. Copyright 2021 Environmental Defense Fund. Used by permission (30)

4. Conclusions and Perspectives

Following the direction of IMO towards the reduction of harmful gas emissions by 2050, the maritime sector is getting ready for an energy switch. Many reports (3336) can be found in the literature that discuss the alternative fuels in a comparative manner to reduce GHG emissions from shipping. Of these alternative fuels, ammonia is prominent due to its carbon neutral chemical formula, high energy density, established production, transportation and storage infrastructure and competitive cost as discussed through this review. However, to satisfy the energy demand of the maritime industry, the production capacity of ammonia needs to be expanded substantially (i.e. 2.5 times larger production (~500 million tonnes per year)) to decarbonise the international fleet (30)) and production routes have to be green in order to reduce emissions of CO2. This means that together with other sectors, shipping will add additional stress to renewable electricity production, around the order of magnitude of the current power sector, which itself is yet to fully decarbonise. One possibility for maritime is to build their own infrastructure for the production of green ammonia on existing ports and on offshore marine farms. Lately, the main ports of Morocco have been identified as potential locations to produce and store green ammonia (30). For instance, Jorf Lasfar Port has an existing ammonia storage infrastructure with a total capacity of 100,000 tonnes due to the ammonium phosphate fertiliser production complex of the state-owned OCP group. Upon integration of 300 MW solar panels near the port, it is envisaged that 700 tonnes of ammonia per day, which is equivalent to the daily fuel consumption of about four post-Panamax size vessels, can be produced and stored. In the case study, the daily amount of renewable electricity to produce green ammonia for fuelling all container and dry bulk vessels passing through Morocco’s ports is calculated as 280 GWh which is only 0.6% of the renewable (wind and solar) energy capacity of Morocco. Taking this case study as a basis, more research on technoeconomic analysis for green ammonia production needs to be performed in different ports, considering not only onshore but also offshore options and the use of a combination of two or more intermittent renewable energy sources (solar, wind, wave or tidal) to provide a virtually continuous supply and thereby improve the efficiency and cost-effectiveness of the whole process.

Today, the price of green ammonia is significantly higher than for brown ammonia and for conventional marine fuels such as HFO, MGO and LNG. However, looking towards the future where fossil fuels must be substituted, the price of ammonia is expected to be in the same range in comparison with other renewable alternatives such as biofuels and hydrogen. The high cost of green ammonia derives from the capital cost of electrolysers, which take up almost half of the total land-based investments. To bring these expenses down, the usage of expensive noble metal based catalysts should be reduced or ideally be replaced with earth-abundant alternatives.

The adoption of ammonia as a marine fuel in the short term is envisaged to be driven by ICE under current market and regulatory conditions. The preliminary small-scale test results reported by MAN ES and Wärtsilä demonstrate that the technology is ready to start working on a full-scale pilot with relatively few additional design modifications. Although ammonia combustion in ICEs does not contribute to carbon emission, thus can be regarded as a clean solution compared to fossil fuels, it is not 100% harmful emission free and requires NOx elimination. Therefore, ICEs should predominantly be seen as an important intermediate step to introduce ammonia as a new fuel in the maritime industry before pursuing towards truly 100% zero emission shipping by using fuel cells. In the medium to long term, ICEs are expected to leave their places to SOFCs as technology develops and price levels drop.

It should also be noted that there is no single solution and transition to zero emission will be through a combination of several technologies including new fuel sources and vessel efficiency improvements such as renewable assisted propulsion, hydrodynamics, paints and hull coatings, velocity optimisation, engine and ship design. Balcombe et al. (37) assessed GHG emission reductions via the use of alternative fuels (LNG, methanol, biofuels, hydrogen, nuclear and electricity) by incorporating various energy efficiency measures and they concluded that the decarbonisation requirements of the maritime industry could be met via a combination of several technological and operational pathways. Such a combined assessment is currently missing for green ammonia. It is recommended that future research activities focus on collective impact of changing fuels and implementing efficiency measures. In addition, an integrated system engineering is required to assess several factors such as space for onboard energy storage, energy requirement for a round trip, geography, infrastructure, costs and safety to decide on the ultimate energy transition pathways based on individual shipping operation conditions.

Overall, our analyses indicate that an effective fuel switching in maritime industry can only be achieved through engagement and synchronisation of three sectors, which are science and technology, industry and business, governance and policy. For a constructive transition, we need a round table that can link the key players from these industries and enable them work in a collaborative manner by involving in consortium projects. The global maritime energy shift council members may consist of, but not limited to, representatives from shipping companies, port managers, (renewable) energy firms and associations, politicians, policy makers, financial sectors and investors. Last but not least, the involvement of scientists should also not be forgotten. The efficiency and cost-competitiveness of the whole power-to-ammonia-to-power cycle explicitly depend on the development of new state-of-the-art materials and establishing an integrated system engineering. Scientists need support for carrying on fundamental research but also for increasing the commercial readiness of the discoveries. Various solid-state materials and techniques, that offer cost, efficiency and performance benefits, have already been reported in the literature and more will continue to come in the near future. However, there is a gap between transfer of knowledge to application. To increase the TRL value of these technologies within a compressed time frame and for large-scale implementation of carbon-free energy, scientific entrepreneurship should be encouraged and supported more.

Lastly, among the transportation sector, the shipping industry has long been criticised for being too conservative and too passive to change. In an interview with ShippingWatch, Henrik O. Madsen, the former CEO of major classification company DNV GL, stated “The attitude in the industry is mainly that any new regulation introduced is basically negative. I could hope that, going forward, they will change from seeing every new regulation as a risk to instead also thinking of a regulation as an opportunity” (38). To make this come true, local and international authorities need to join their forces and lead the round table meetings to bring innovative ideas collectively that can disrupt the conservativeness and fragmented nature of the maritime sector and help them change for a better future and business opportunities.

Acknowledgements

This publication incorporates results from the research programme THRUST funded by Enviu, The Netherlands. The authors acknowledge Enviu for financial support. The authors would like to thank the anonymous reviewers for their valuable comments and suggestion to improve the quality of this paper.

The Authors


Tuğçe Ayvalı obtained her BSc major and minor degrees in Chemistry and Chemical Engineering from Middle East Technical University, Turkey in 2009 and 2010, respectively. Then she received her MSc in Chemistry as a high-honour graduate from the same university in 2011. In 2015, she completed her PhD in Coordination Chemistry and Materials at Paul Sabatier University – CNRS/LCC, France before joining the group of Professor Edman Tsang at the University of Oxford, UK where she is currently working as a postdoctoral research associate. Her research interests include green chemistry and nanomaterial-based catalysts for renewable energy applications.


Edman Tsang is a professor of Chemistry and the Head of the Wolfson Catalysis Centre at the University of Oxford. His main research interests are on nanomaterials and catalysis concerning energy and the environment which include development of catalytic, photocatalytic and electrocatalytic technologies for fine chemicals, cleaner combustion, green chemistry, energy storage, processes and production. He has about 350 refereed research publications including in Nature, Science and Nature’s sister journals. He has delivered over 200 plenary and invited presentations at conferences, universities and companies.


Tim van Vrijaldenhoven holds a MSc in Architecture, Urbanism and Building Sciences from the Technical University in Delft, The Netherlands, as best graduate. Prior to joining Enviu, The Netherlands, he held a management position at a large design and engineering firm. Tim currently heads Enviu’s THRUST programme: a multi-year global programme to reduce the climate impact caused by the maritime transport industry and capitalise its assets to make sustainable growth possible. At THRUST, Tim has codeveloped several maritime applications that utilise hydrogen compounds.

By |2021-03-29T16:42:52+00:00March 29th, 2021|Weld Engineering Services|Comments Off on The Position of Ammonia in Decarbonising Maritime Industry: An Overview and Perspectives: Part II

The Position of Ammonia in Decarbonising Maritime Industry: An Overview and Perspectives: Part I

Climate change is the most pressing environmental challenge of our time. Transport, particularly shipping, has a huge carbon footprint with around 1 billion tonnes of CO2 equivalent every year (1). If no further action is taken, then estimates from the IMO (2) and European Parliament (3) suggest that the CO2 emissions from international shipping could grow between 50–250% by 2050, accounting for 17% of global emissions. In 2018, IMO’s Marine Environment Protection Committee (MEPC) announced an initial strategy on the reduction of GHG emissions from ships, setting out a vision to reduce GHG emissions from international shipping and eventually suspend them as soon as possible in this century. According to their level of ambition, the total annual GHG emissions (combination of CO2, methane, nitrous oxide and fluorinated gases (4)) from international shipping need to be reduced by at least 50% before 2050 compared to 2008 (5). In addition, under the revised International Convention for the Prevention of Pollution from Ships (MARPOL) Annex VI, the global sulfur limit is lowered from 3.50% to 0.50% as effective from 1st January 2020 (6). Following IMO’s regulations, many initiatives, including some in the United Nations (UN), European Union (EU) and various national governments, are making critical infrastructure and energy integration decisions to decarbonise the energy and transport sectors until 2050 (79). It is certain that renewable energies are key players in the global energy transformation to mitigate climate change. However, the intermittent nature of renewables hinders their integration into the electricity distribution grid. A general consensus is that the (excess) electrical energy generated by renewable sources should be stored for later use on demand to alleviate the impacts of intermittent production. Storage requirements of the electric grid vary widely depending on specific applications (10). Most storage technologies fall into five generalised categories, which are mechanical, electrical, thermal, electrochemical and chemical energy storage (Figure 1). Among them, chemical energy storage, which relies on storing energy in the chemical bonds of molecules, provides storage of high energy density over a long period of time and easy transportation from generation to demand sites.

Fig. 1

Energy storage technologies based on power density and discharge time. ETES = electrothermal energy storage, CAES = compressed air energy storage, ACAES = adiabatic compressed air energy storage (11) Copyright Siemens AG

Energy storage technologies based on power density and discharge time. ETES = electrothermal energy storage, CAES = compressed air energy storage, ACAES = adiabatic compressed air energy storage (11) Copyright Siemens AG

It is believed that the chemical energy storage in the form of hydrogen will play a vital role in enabling the use of renewable energy sources (for example solar, wind, waves) to reduce CO2 emissions from various industries in the near future. Particularly, the progressive decrease in the cost of electrolysers and the increase in carbon taxation may justify large-scale hydrogen production from water via electrolysis, powered by renewable electricity in centralised installations. This stored energy can then be released again by using the gas as a fuel in a combustion engine or a fuel cell, which are relatively mature technologies for hydrogen application. Hydrogen not only provides a carbon-free energy solution but also offers flexibility as most technologies that use fossil fuels such as natural gas can be adapted to use hydrogen and still provide the same level of service (12, 13). The benefits of using renewable hydrogen are already being recognised commercially for niche applications, including water transport. For instance, in February 2020, Enviu, The Netherlands, announced that passengers in Rotterdam will board a water taxi powered by hydrogen fuel cell in 2021 (14). The hydrogen-water taxi is being developed by the SWIM consortium (consisting of Enviu, Watertaxi Rotterdam and the (maritime) innovation companies Flying Fish and ZEPP solutions) that was initiated as part of Enviu’s zero-emission shipping programme Towards Hydrogen-based Renewables Used for Ship Transportation (THRUST). When the project comes to life, it is going to be the world’s first demonstration for a commercial boat on this scale running entirely on a zero-emission fuel. To overcome the infrastructure barrier, parallel to this project, Enviu is also working on a green hydrogen tank station. However, powering long distance shipping with hydrogen is not practical because at scale it must be compressed to around 350 to 700 times atmospheric pressure or cryogenically cooled to –253°C which is an energy intensive and expensive process. In addition, liquid hydrogen requires eight times more storage space than heavy fuel oil (HFO) while this is even 30 times more for compressed hydrogen (15, 16). As an alternative, a hydrogen-carrier such as ammonia with higher volumetric energy density and carbon neutral chemical formula has recently been under investigation as a potential fuel for transport (1724). The countries with the world’s top container ports such as Australia, the UK, Japan and Saudi Arabia have recently announced their national zero-emission fuel switch strategies, in which ammonia plays an important part together with hydrogen, and invested millions of US dollars for their large scale demonstrations (2529). The steps of major energy players towards alternative zero-carbon emission fuels will certainly have impacts not only in these countries but also beyond.

1.1 Momentum in Maritime Industry Towards Ammonia-Propelled Shipping

Following the directions, policies and roadmaps of IMO and national regulatory authorities, a number of ventures are already underway to test viability of ammonia in the shipping sector. The engine manufacturers, MAN Energy Solutions (MAN ES, Germany) and Wärtsilä, Finland, are currently developing two-stroke and four-stroke engines, respectively, designed to operate on ammonia and anticipate that the first ammonia engine could be in operation in 2024 (30, 31). Both companies reported that they had successfully conducted a preliminary study into ammonia combustibility, which revealed that slow flame velocity, slower heat release and combustion characteristics of ammonia were no obstacle to combustion in these engines (32). Based on their research on combustion in smaller engines and turbines, the challenges related to ammonia combustion are determined to be the high nitrogen oxides (NOx) generation, low flammability and low radiation intensity. Further full-scale engine tests will continue to overcome these challenges in 2021. These tests will serve as the platform for the ammonia engine development at Copenhagen Research Centre of MAN ES and the Sustainable Energy Catapult Centre’s testing facilities of Wärtsilä at Stord, Norway. Following that, Lloyd’s Register (LR, UK) has granted Approval in Principle to Dalian Shipbuilding Industry Company (DSIC, China) and MAN ES for an ammonia-fuelled 23,000 twenty-foot equivalent unit (TEU) ultra-large container ship (ULCS) concept design, the first ammonia as fuel design of its kind in China (33). MS Color Fantasy, the world’s largest roll on/roll off (RORO) cruise liner, has also plans to pilot ammonia as a marine fuel (34). In addition, like Enviu’s THRUST programme from The Netherlands, another non-profit organisation, the Mærsk Mc‐Kinney Møller Center for Zero Carbon Shipping, was launched in Denmark on 25th June 2020 (35). The organisation aims to bring the best minds from science, engineering and business in order to implement new energy systems and technologies for shipping. Although it is not clear yet how the decarbonisation of shipping will be achieved, given the tremendous drive around ammonia as a potential zero-carbon emission fuel, more ammonia-related shipping projects are expected to be announced in the near future.

Besides the efforts of individual companies on developing and expanding their ammonia powered technologies, recently there has been a tremendous increase in the announcement of consortium projects aiming to demonstrate ammonia-fuelled vessels operating at sea. The ShipFC consortium could secure €10 million fund from the EU’s research and innovation programme Horizon 2020 under its Fuel Cells and Hydrogen Joint Undertaking (FCH JU) to deliver the world’s first high-power fuel cell to be powered by green ammonia (36). The ShipFC project is being run by a consortium of 14 European companies and institutions, coordinated by the Norwegian cluster organisation NCE Maritime CleanTech. The project aims to demonstrate an offshore vessel, Viking Energy, which is owned and operated by Eidesvik AS, Norway, and on contract to energy major Equinor, Norway, powered only with a large 2 MW ammonia fuel cell to sail up to 3000 h annually. One of the main objectives is to ensure that a large fuel cell can deliver total electric power to shipboard systems safely and effectively. This is the first time an ammonia-powered fuel cell, scaled up from 100 kW to 2 MW, will be installed on a vessel. The design, development and construction of ammonia-fuelled solid oxide fuel cell (SOFC) will be undertaken by Prototech, Norway. Testing will be executed at the Sustainable Energy Norwegian Catapult Centre and the ship-side ammonia system will be supplied by Wärtsilä. It is envisaged that the ammonia fuel cell system will be installed in Viking Energy, UK, in late 2023. The ultimate goal is to demonstrate that long-distance, emission-free voyages on big ships are possible.

Another European based consortium in the Nordic region was announced in May 2020 (37). The Global Maritime Forum has launched The Nordic Green Ammonia Powered Ships (NoGAPS), a major consortium that aims to prove the feasibility of a large ammonia-powered deep-sea vessel by 2025. Funded by Nordic Innovation, partners of the project include Danish Ship Finance, shipowner J. Lauritzen, engine maker MAN ES, Ørsted energy group and consultancy group Fürstenberg Maritime Advisory, all from Denmark, along with Oslo-based bank DNB, the class society DNV GL, chemical group Yara International and the Helsinki-listed Wärtsilä.

In Japan, an industry consortium is collaborating in a project to develop ships designed to use ammonia as fuel and go beyond onboard ship technology to include “owning and operating the ships, supplying ammonia fuel and developing ammonia supply facilities.” The participants of the consortium are Nippon Kaiji Kyokai (ClassNK), Imabari Shipbuilding, Mitsui E&S Machinery, MAN ES, Itochu Corporation and Itochu Enex (38). In addition, on 6th August 2020, NYK Line, Japan Marine United Corporation and ClassNK signed a joint research and development (R&D) agreement for the commercialisation of an ammonia-fuelled ammonia gas carrier (AFAGC) that would use ammonia as the main fuel, in addition to an ammonia floating storage and regasification barge (A-FSRB) for offshore bunkering and stable supply of ammonia fuel (39).

It is likely that more ammonia propelled shipping demonstration projects will be announced in the following years. The winners of the contest will dominate their positions in the value chains to deploy zero-carbon vessels and bunkering infrastructure across the sector.

1.2 Why Ammonia?

Recently ammonia has taken considerable attention and pointed as one of the most promising alternative chemical energy and hydrogen-carriers in many technical reports (19, 40), white papers (23, 41) and research articles (18, 22), due to the following reasons:

  • Ammonia has an existing infrastructure for production, storage and global transport. With over 200 million tonnes production per year (42), it is one of the largest chemical industries in the world

  • It can be stored as a liquid at relatively low temperature and pressure (cooling to –33°C at atmospheric pressure or compressing to 10 bar at room temperature)

  • It has high energy density (Table I) which enables sufficient capacity for long ship voyages without refuelling for weeks (46)

  • With minor modifications, ammonia can be adopted to be used in internal combustion engines (ICEs) and gas turbines (GTs) in the short term. It has also a strong potential to be used directly in fuel cells in the future

  • Ammonia has higher ignition temperature and narrower flammability range; therefore, fire risk is lower compared to hydrogen

  • It does not contain carbon or sulfur in its chemical formula, thus does not contribute to CO2 and sulfur oxides (SOx) emissions during utilisation (Table I).

Table I

List of Selected Marine Fuels and their Characteristics (20, 4344)

Fuela Energy density, LHVb, MJ kg−1 Volumetric energy density, GJ m−3 Storage pressure, bar Storage temperature, °C CO2 emission × 103, kg per tripc SOx emission × 103, kg per tripc
MGO 42.7 36.6 1 rtd 277 0.18
HFO 40.4 38.3 1 rtd 286 2.12
LNG 50 23.4 1.0 –162 220 0.09
Compressed hydrogen 120.0 7.5 700 20 0 0
Liquid hydrogen 120.0 8.5 1 –253 0 0
Liquid ammonia 18.6 12.7 1 or 10 –34 or 20 0 0
Methanol 19.9 15.8 1 20 254 0.09

To meet IMO’s targets and ultimately decarbonise the maritime sector, vessels powered by zero GHG emitting fuels need to be implemented to the international shipping fleet in the early 2020s. Ammonia offers several potential advantages over hydrogen and the conventional marine fuels such as HFO, MGO and LNG. However, several factors such as sustainable production routes, power generation, cost of transition and safety and environmental aspects still need to be considered thoroughly before the implementation and deployment of an ammonia-powered fleet. The following sections of the paper will cover these aspects. It is also noted that there are many valuable studies that have assessed the potential of ammonia as an alternative fuel for transport (1723). This paper adds to this body of literature by providing collective, up-to-date knowledge, introducing state-of-the-art and emerging technologies as well as identifying the critical research gaps necessary for practical application of these technologies. The paper follows an approach to show the picture from a wide-ranging perspective that is of interest particularly for industry without overwhelming with technical details. Instead, the key and recent studies have been identified, summarised and cited in the paper for interested readers to explore further.

Ammonia is currently produced via the Haber-Bosch process that involves reaction of hydrogen and nitrogen molecules on a catalyst surface at a temperature range of 450–600°C and a pressure of 100–250 bar. Nitrogen is supplied by air separation unit and hydrogen is obtained from steam methane reforming (SMR) or, to a lesser extent, coal gasification. This process (so-called ‘brown ammonia’) is energy intensive, consuming 1% of the world’s total energy production, and environmentally unfriendly, accounting for 1.8% of global GHG emissions, as hydrogen is supplied from fossil fuels. From a product lifecycle point of view, brown ammonia would not offer much environmental benefit if used as a shipping fuel.

For the decarbonisation of ammonia production, three possible methods (Figure 2) are currently being considered: (a) conventional Haber-Bosch production with carbon capture and sequestration (CCS) – so called ‘blue ammonia’; (b) a modified Haber-Bosch process in which hydrogen is supplied by water electrolysis using renewable energies (wind, solar, tidal wave) – ‘green ammonia’; and (c) direct production of ammonia from water and air in an electrochemical cell – ‘electrochemical ammonia’.

Fig. 2

(a) Brown (without CCS) and blue (with CCS) ammonia production flowchart; (b) green ammonia production flowchart; (c) electrochemical ammonia production flowchart

(a) Brown (without CCS) and blue (with CCS) ammonia production flowchart; (b) green ammonia production flowchart; (c) electrochemical ammonia production flowchart

Designing new ammonia plants with integrated CCS or retrofitting CCS to conventional plants does have notable potential and will probably be an intermediate solution in the short term. However, integrating CCS into the existing structure will not only increase the energy consumption, which is already very high, but will also lead to further challenges to find a place to securely store the captured CO2. The technoeconomic study carried out by Santos and coworkers for the International Energy Agency (IEA) Greenhouse Gas R&D Programme (47, 48) demonstrates that the integration of a CO2 capture plant to an SMR plant could reduce the CO2 emission between 53% to 90% whereas the natural gas consumption would increase by 0.46 MJ Nm−3 to 1.41 MJ Nm−3 hydrogen and the amount of surplus electricity exported to the grid by the SMR plant would be reduced. These changes lead to an increase in the operating cost of hydrogen production by 18% to 33% compared to the SMR without CCS; thus the levelised cost of hydrogen production could increase by €0.021–€0.051 Nm−3 hydrogen depending on capture rate and technology selected. Therefore, the use of hydrogen gas generated from water electrolysis using renewable energies in the Haber-Bosch process for ammonia production would be the most convenient route in the medium term because the process does not contribute to CO2 emission, electrolysers are already commercially available with a scale ranging from kilowatt to megawatt and the cost of electricity from renewable sources is declining, making the overall process economically viable. The use of biomass as a feedstock to provide synthesis gas (syngas) for ammonia production via Haber-Bosch process might also be regarded as a green process because the CO2 emitted by a biomass-based plant is biogenic which means that the CO2 released during biomass gasification and digestion processes is later consumed by biomass-plants as they grow, thus, no extra CO2 is added to the atmosphere (49). Techno-enviro-economic analyses of ammonia production using biomass as feedstock (50, 51) show that the cost of ammonia produced from biomass feedstock can be competitive with brown ammonia and lead to global warming potential reductions of 54–68%, when compared to conventional ammonia plants. However, scalability of biofuels remains as a challenge. Land used to produce biomass feedstock has similar environmental characteristics to that of agriculture, thus putting biofuels in competition with other land uses and leading to implications for food security, sustainable rural economies and the protection of nature and ecosystems (52). Nevertheless, biomass-derived ammonia production might effectively meet the ammonia requirements for small territories or isolated applications.

Another conspicuous alternative pathway for ammonia production is electrochemical synthesis where nitrogen is reduced electrocatalytically in the presence of water or hydrogen. It has been foreseen that ammonia production via electrochemical routes can save more than 20% of energy consumption as compared to the conventional Haber-Bosch method because water can be directly fed into the anode chamber of the reactor as a hydrogen source without the requirement of initial water electrolysis, and electrochemical reaction can be operated at low temperatures and atmospheric pressure. However, none of the electrochemical ammonia synthesis routes has achieved the level of technological maturity required for commercial deployment yet, although a high rate (2.4 × 10−8 mol cm−2 s−1 at a maximum current efficiency of 4.2%) has recently been achieved when ammonia was synthesised in molten salt medium using the electrochemical approach (53).

2.1 Catalysts for Green and Direct Electrochemical Synthesis of Ammonia

As described above, green ammonia production incorporates two catalytic processes: (a) hydrogen production from water electrolysis; and (b) ammonia synthesis from hydrogen and nitrogen via Haber-Bosch reaction. The high cost of commercial electrolysers arises from the usage of expensive noble metals such as platinum and palladium on a carbon support as catalysts in the electrochemical cells. The catalyst itself has taken up a considerable portion of the total system and capital cost, especially if there is degradation or corrosion on the carbon support. Hence, one crucial aspect of the development in hydrogen evolution reaction (HER) technology is to replace the catalysts with earth-abundant alternatives to produce hydrogen in a more economical way. Mo et al. (54) has recently reported that inexpensive silver catalysts, particularly the cubic form of silver nanoparticles, can clearly exhibit superior HER activity over platinum at the same metal content by altering the rate-determining step in a proton exchange membrane (PEM) electrolyser when practically more negative potential is applied. High activity was attributed to the weaker Ag–H bond at the surface than Pt–H which is more favourable for H recombination to form H2. This study is significant to rectify the misconception that platinum is always at the ‘optimal volcano’ position among all monometals in HER, which has led to an inaccurate description of the surface electrocatalysis under real PEM conditions at high workload. Beside this scientific achievement with a monometallic catalyst, start-up company Hymeth, Denmark, announced in 2019 that it would commence the production of HyaeonTM which is a low temperature and high pressure electrolyser, at a commercial scale after completing tests. The company uses an inexpensive trimetallic nickel-copper-iron core-shell electrocatalyst, possessing high electrochemical activity for both oxygen evolution reaction (OER) and hydrogen evolution reaction (HER) (55). Another method of hydrogen evolution is photocatalytic water splitting. This process benefits from direct usage of solar renewable energy without the requirement for the installation of an extra electricity generator such as photovoltaic panels or wind turbines to supply power to electrolysers. Although various studies have been reported in the past decade (56), no practical application has been implemented yet mainly due to low catalytic activities, a narrow range of light absorption and poor quantum efficiencies (QE) (the measure of the effectiveness of a light absorbing material to convert incident photons into electrons) as a result of fast recombination of charge carriers. In 2019, Tsang and coworkers (57) reported a nitrogen-doped titania nanocatalyst on MgO(111) photocatalyst that has a hydrogen evolution rate of over 11,000 μmol g−1 h−1 in the absence of any sacrificial reagents at 270°C. An exceptional range of QE from 81.8% at 437 nm to 3.2% at 1000 nm was also stated. High activity was attributed to formation of oxygen vacancies upon introducing nitrogen into the titania structure and prolongation of exciton lifetime over the polar MgO(111) surface. The technology readiness level (TRL) of this invention is currently at TRL3–4 but it has a strong potential in the future to harness solar energy (light and heat) for hydrogen production in large scale.

Another energy intensive and costly process in ammonia production is the Haber-Bosch process where hydrogen and nitrogen react at 15–25 MPa and 400–450°C using an iron-based catalyst (either magnetite or wurtzite). Low equilibrium single-pass conversion (~15%) necessitates the recycle of unreacted gases, leading to higher energy consumption (58). Compared with commercial iron catalysts, ruthenium-based catalysts offer advantages in Haber-Bosch reaction because they are relatively active at low pressure. Ruthenium with a higher electron density in d-orbitals, in assistance with strong electron donor dopants such as alkali metals, can donate electrons into the anti-bonding orbital of adsorbed nitrogen, facilitating its dissociation, and thus, can work under lower pressure. However, ruthenium-based catalysts have found limited uses in conventional Haber-Bosch processes because they are relatively more expensive and are easily poisoned by carbon deposition from methane in syngas (59). The electrified Haber-Bosch system, where hydrogen is derived from water, does not contain methane, so the carbon poisoning effect can be well avoided. However it is also known that another surface poisoning of ruthenium sites by competitive strong hydrogen dissociative adsorption limits the overall reaction rate. Lately some workers have demonstrated that changing the surface polarity by either decorating terrace sites of ruthenium nanoparticles with Li+ (60) or using an electrostatically polar MgO(111) in place of nonpolar MgO as the support (61), can significantly alleviate the hydrogen poisoning and facilitate an unprecedented ammonia production rate. Another outstanding study reported by Hattori et al. (62) has demonstrated the ability of ruthenium catalysts to produce ammonia from nitrogen and hydrogen at a temperature as low as 50°C. The researchers used a stable electron-donating heterogeneous catalyst, cubic CaFH, a solid solution of calcium fluoride and calcium hydride formed at low temperatures to achieve high performance with an extremely small activation energy of 20 kJ mol−1 at 50°C, which is less than half that for conventional catalysts.

If the future green ammonia production via Haber-Bosch process is carried out in decentralised, islanded locations in small scale, then hydrogen manufactured from an electrolyser at lower pressure and temperature would require coupling with an efficient catalyst to achieve high ammonia production rate. In this manner, ruthenium stands out from the other alternatives and high cost may actually not be a disadvantage. In fact, developing countries, particularly ones located in Africa may use this opportunity to attract investment as they have high renewable solar energy capacity and resources for platinum group metals.

Regarding the electrochemical approach to synthesise ammonia, there are a number of potential candidates, which have recently been demonstrated to be active for this reaction (6365). The goal of electrochemical ammonia synthesis, in contrast to electrified Haber-Bosch process, is to catalyse the direct reaction of nitrogen with water to form ammonia at ambient pressure. The potential elimination of the separation and purification steps for hydrogen when water is used as the reductant for nitrogen, along with the input of electrochemical energy at milder conditions, is very attractive. However, the nitrogen molecule is highly inert towards reduction, much more so than the most common electrochemical solvent, water. In principle the reaction can proceed under ambient conditions, as seen in biology, however translating this chemistry into an industrial process while retaining practical rates and efficiencies has shown to be challenging. The vast majority of reports (Figure 3) fall below the targets set by the US Department of Energy (DoE) in the Advanced Research Projects Agency-Energy (ARPA-E) Renewable Energy to Fuels Through Utilization of Energy-Dense Liquids (REFUEL) programme for feasible industrial installations (current density >300 mA cm−2 and current efficiency >90%, which is equivalent to an effective rate of 9.3 × 10−7 mol cm−2 s−1). Although the present rates remain over an order of magnitude away from DoE targets, continuous progress is being made both in mechanistic understanding of the reaction and in the development of routes to new materials. Finding the ideal combination of mediator, catalyst and electrolyte components to optimise selectivity and yield rate, while decreasing energy costs, is thought to be the key goal of research in this field (66) for commercial feasibility.

Fig. 3

Overview of rates and current efficiencies for electrochemical ammonia synthesis: (a) rate as a function of temperature for all reported cells. Colour indicates current efficiency, grey is used where efficiency data is unavailable; (b) rate as a function of current efficiency for reported aqueous cells around room temperature. Colour and text indicate principle component of catalyst. Reproduced from (63) with permission from the Royal Society of Chemistry

Overview of rates and current efficiencies for electrochemical ammonia synthesis: (a) rate as a function of temperature for all reported cells. Colour indicates current efficiency, grey is used where efficiency data is unavailable; (b) rate as a function of current efficiency for reported aqueous cells around room temperature. Colour and text indicate principle component of catalyst. Reproduced from (63) with permission from the Royal Society of Chemistry

2.2 Green Ammonia Demonstration Plants

Given the fact that green ammonia production from water electrolysis followed by Haber-Bosch process would be the most convenient route with current technology, several green ammonia demonstration or production plants with a wide range of capacities have been announced in the past few years. Table II summarises these projects including the key players and their targets.

Table II

Momentum in Green Ammonia Projects (6773)

Participants Location Capacity, tonnes per year Renewable source Year Purpose
University of Minnesota Morris, Minnesota, USA 25 Wind 2014 Supply of local fertiliser demand
FREA, JGC Corporation Koriyama, Japan 7 Wind, solar 2018 Low temperature/low pressure H-B catalyst optimisation, demonstration of ammonia combustion in gas turbines
Siemens Harwell, UK 10 Wind 2018 Power-to-ammonia-to-power demonstration unit
Iberdrola, Fertiberia Puertollano, Spain 4000 Solar 2021 Becoming a European reference for sustainable solutions for agriculture
Yara Porsgrunn, Norway 5000 (estimate) Hydroelectric grid 2022 The first small step towards carbon free fertiliser production by installing 5 MW electrolyser corresponding to 1% of the hydrogen production in Porsgrunn
Haldor Topsøe Foulum, Denmark 300 Wind 2025 Demonstration of direct ammonia production from water and air using solid oxide electrolyser without air separation unit
Air Products, ACWA Power, Thyssenkrupp, Haldor Topsøe, NEOM Saudi Arabia 1.2 × 106 Wind, solar 2025 Production of green ammonia at oil and gas scale and distribute the green ammonia globally and crack it back to ‘carbon-free hydrogen’ at the point of use, supplying hydrogen refuelling stations
OCP Jorf Lasfar 700 Solar TBD Fertiliser production and supply of power to marine vessels
Enaex Antofagasta, Chile 20,000 and 350,000 Solar TBD Feasibility study (pilot plant scale at 64 MWp solar and 47 MW electrolyser, full scale at 1030 MWp solar and 778 MW electrolyser)
Proton Ventures, Siemens, Yara Goeree-Overflakkee, The Netherlands 20,000 Wind, tidal TBD Part of regional green hydrogen economy roadmap
Siemens Gamesa, Energifonden Skive Skive, Denmark TBD Wind TBD Ammonia production as a way to store surplus electricity from wind turbines
Ballance Agri-Nutrients, Hiringa Energy Kapuni, New Zealand 5000 (estimate) Wind TBD The $50 million showcase project as a catalyst for the development of a sustainable green hydrogen market
Queensland Nitrates, Incitec Pivot, Wesfarmers JV, Neoen, Worley Moura, Australia 20,000 Solar TBD Determining the technical and economic feasibility of producing renewable ammonia at a commercial scale
Dyno Nobel Moranbah, Australia 60,000 Solar TBD Feasibility study to decarbonise their own nitrogen-based commodity production facility
Yara Pilbara, Australia 25,000 Solar TBD Feasibility study for carbon-free fertiliser production
H2U, Thyssenkrupp Port Lincoln, Australia 20,000 Wind, solar TBD Business case demonstration for renewable energy exports (Hydrogen Hubs)

The construction of the first three pilot plants given in Table II has been completed. They are currently up and running to carry out R&D toward ammonia synthesis and power generation from ammonia in a cost-effective way by utilising renewable energy. The initial test results were reported to be very promising (7477), paving the way to larger scale, mega projects as announced by several companies from Australia, New Zealand, The Netherlands, Spain and Saudi Arabia.

Today, commercial manufacturing of green ammonia is not available anywhere. But, with renewed interest and global drive, it is highly likely that by 2030, there will be a body of demonstration plants that can show the viability of producing ammonia from renewable energy at scale.

3.1 Onboard Space Requirement

With an energy density of 12.7 GJ m−3, ammonia would require a larger volume of space onboard in order to deliver the same power as conventional marine fuels. For instance, if a HFO fuel tank has a volume of 1000 m3, an ammonia fuel tank would require 2.75 times more space than that of HFO to provide the same power (30). This might make ammonia appear unfeasible; however, the space requirement for ammonia remains significantly smaller compared to other carbon-free options as the tank volume would be 4117 m3 for liquid hydrogen at –253°C; 14,000 m3 for a Tesla Model 3 battery (Tesla, USA) and 120,896 m3 for the battery pack of Corvus Energy, Norway, the marine battery market leader (30). Even carbon-based methanol does not offer significant advantage, needing a tank volume of 2333 m3. Therefore, the space requirement for ammonia-propelled shipping is not found to be unrealistic or inapplicable (24).

3.2 Propulsion Systems

Two kinds of propulsion systems (direct combustion and fuel cells) that could use ammonia as a marine fuel stand out regarding the current and emerging technologies. Figure 4 illustrates the simplified configuration of these propulsion systems.

Fig. 4

Possible propulsion systems process diagrams using ammonia as a marine fuel

Possible propulsion systems process diagrams using ammonia as a marine fuel

3.2.1 Direct Combustion

Direct usage of ammonia in combustion engines dates to 1942 when Belgium’s public bus system ground to a halt by a wartime shortage of diesel (78). As a result, the engine systems of the buses were adapted to run with an alternative fuel: liquid ammonia with a small amount of coal gas to help combustion. Although the lifetime of ammonia-powered buses was short, it demonstrated that ammonia could be used as a transport fuel.

Ammonia can be combusted in ICEs or in GTs, both of which are well established as prime movers in naval vessels. However, burning ammonia effectively within these engines is rather challenging because ammonia has poor ignition that requires high temperature or a secondary fuel to initiate the combustion process, low burning velocity (0.015 m s−1) and narrow flammability limit (12–25% air), causing unstable combustion conditions at very low and high engine speeds and ammonia slip.

To date, many studies have been conducted to assess the performance and emissions of ammonia propelled combustion engines. Two useful reviews published by Kobayashi et al. (79) and Valera-Medina et al. (18) provide comprehensive information about fundamental aspects of ammonia combustion, the details of the chemistry of NOx production, processes for reducing NOx and validation of several ammonia oxidation kinetics models. Results show that ammonia as a sole fuel in a compressed ignition ICE (CI-ICE) is not possible due to the high compression ratios needed for ignition and combustion. Therefore, co-feeding of ammonia with only 5% of a pilot fuel with higher cetane number (hydrogen, diesel, methanol, dimethyl ether) would be enough to facilitate its combustion. On the other hand, combustion of ammonia as the only fuel might be possible in spark ignition ICEs (SI-ICEs) (80). In fact, Toyota, Japan, filed a patent (81) where it claimed that several plasma jet igniters arranged inside the combustion chamber or plural spark plugs that ignite the ammonia at several points can enable ammonia combustion. Most of the work in the literature examines the combustion stability and emissions from gaseous ammonia blended with carbon-based fuels or hydrogen in ICEs. It is recognised that there is generally only a narrow equivalence dual-fuel ratio where high stability, low emissions and high temperature can be achieved, leaving a vast field of research, modelling and testing on how to improve these parameters to obtain wider operational ranges and adapt the technology to large marine engines.

3.2.2 Fuel Cell Systems

An alternative to generating power from ammonia in a combustion engine is to use fuel cells, which may provide advantages in terms of high thermal efficiencies, less noise and lower emissions of air pollutants. Basically, ammonia can either be used directly in fuel cells or be used as a hydrogen carrier where first, a cracker is used to decompose ammonia into hydrogen and nitrogen and after, hydrogen is fed into a fuel cell to generate electricity. Among several of the chemical hydrides (82) suggested for hydrogen storage, such as methanol, formic acid and liquid organic hydrogen carriers, liquid ammonia steps forth with its high gravimetric (17.7 wt%) and volumetric (123 kg m−3) hydrogen density, exceeding the 2015 US DoE targets for hydrogen storage (9.0 wt% hydrogen content, 81 kg m−3 volumetric capacity). It also benefits from the absence of carbon oxides (COx) emissions associated with hydrogen as a fuel in fuel cells.

Ammonia can be directly used in alkaline fuel cells (AFCs) and SOFCs, whereas PEM fuel cells (PEMFCs) require high purity hydrogen (>99.5%) as the catalyst is poisoned in the presence of small amount of ammonia (22, 83). The fuel cells identified as the most promising for the maritime sector are PEM and SOFCs (23). For use in PEMFCs, either highly active yet cost-effective ammonia cracking catalyst operating at low temperature regime is required to achieve high purity hydrogen via complete ammonia conversion in a single gas stream pass or gas purifier equipment needs to be installed which would involve additional costs together with mass, space and energy demand onboard. Compared to PEM, SOFC is much more promising for maritime application as ammonia can be used directly instead of separating hydrogen from it first. However, further research is required to optimise the operation conditions, increase the system lifetime and scale-up.

3.2.3 Catalytic Processes Involved in Ammonia to Power

For the onboard usage of ammonia, two propulsion systems are considered as stated in previous sections. Because of the low flammability of ammonia, generally a second fuel with higher cetane number needs to be fed into the combustion engine to start ignition and combust ammonia. One of the fuel options to assist the combustion might be hydrogen due to its high flammability and environmental friendliness. As ammonia is a hydrogen carrier, extra storage space for hydrogen may not be necessary. Instead, ammonia can be cracked to its forming molecules, nitrogen and hydrogen, catalytically onboard. Ammonia decomposition is not new, and has long been used in industry. The process is endothermic; however, the equilibrium conversion shows diminishing returns for temperatures above 400°C. Inexpensive catalysts such as nickel or iron might be suitable to crack ammonia onboard at low temperatures (using the heat generated from the combustion engine) as only 5% hydrogen in the gas stream would be enough to combust ammonia effectively. However, for PEMFC applications, high purity hydrogen (>99.5%) is required since a large quantity of ammonia leads to catalyst poisoning in fuel cells. Although nickel catalysts can achieve this conversion, more than 900°C is required. The reviews reported by us (59) and by others (84, 85) present a comprehensive list of ammonia decomposition catalysts and the activity values under their optimum working conditions. Among all these reported materials, ruthenium catalysts appear to be the most promising candidates due to their high ammonia conversion rates at lower temperatures. Considering the high costs and scarcity of noble metals, a low cost but highly active catalyst working at temperatures aligned with those of the PEMFCs, in the range of 150–200°C, is needed for the practical conversion of ammonia under industrial conditions. For instance, a core-shell catalyst preparation approach might be followed to decrease the amount of any expensive metal component and replace it at the core with a cheaper metal in the working catalysts. With this method, the stability of catalysts against metal sintering may also be improved. The alkali amide (–NH2) (86) and imide (–NH) materials (87, 88) are also emerging as promising inexpensive catalysts for ammonia decomposition at mild conditions. The UK’s Department for Business, Energy and Industrial Strategy (BEIS) recently published a Phase One feasibility study for its Ammonia to Green Hydrogen Project (89). In the report, lithium imide catalyst is highlighted as a low-cost and high performance state-of-the-art catalyst. Phase Two of this project will be related to further development of the cracker to raise the TRL of a lithium imide based ammonia cracker catalyst from TRL4 to TRL6/7 by demonstrating and validating the feasibility of the technology developed. Compared to PEMFCs, SOFCs offer direct usage of ammonia without the requirement of precracking and gas purification processes. With an operation temperature in the 700–1000°C range, ammonia cracking can be thermally integrated within the fuel cell stack. The key challenges with ammonia SOFCs in the literature were thought to be the durability of the anode/electrolyte interface and a risk for NOx emission (83). However, research conducted at the University of Perugia, Italy, with the support of Enviu indicated that the degradation rate of a SOFC operating at 750°C during 100 h of testing with ammonia is equivalent to one operating under the same conditions with hydrogen (90). Moreover, analysis shows that there was no nitrification of the anode, which practically means no NOx formation. This study showed that at operative temperature there is no risk of anode degradation when applying ammonia. In addition, the off-gas analysis showed no presence of ammonia, indicating that a complete decomposition of ammonia occurred inside the cell. With these tests a system efficiency of 57.5% at a power density of 0.39 W cm−2 has been achieved. SOFCs are now becoming an important field of R&D. The translation of these scientific findings to technology will pave the way to their commercialisation and deployment in the near future.

3.3 Technology Status of Ammonia Powered Ship Propulsion Systems

So far, none of these propulsion technologies for ammonia has yet been commercialised and deployed for shipping but a design study for such a vessel was recently published by de Vries (43). The author reviewed all options covering ICE, PEMFC, AFC and SOFC for marine applications. It has been concluded that the SOFC scores best in efficiency but lacks power density, load response capability and is still too expensive. The ICE is second in efficiency and thus more efficient than the PEMFC and the AFC (in case these are operated close to maximum power). Additionally, the ICE is less expensive, more robust with acceptable power density and load response. Based on these comparisons, the ICE has been identified as the best option for maritime applications at the current technology status but SOFCs are considered to have a lot of potential in the future.

As mentioned in Section 1.1, MAN ES and Wärtsilä are working on the development of the ammonia-fuelled engine for shipping. The overall message from MAN ES is that the liquid gas injection (LGI) engine family that works with dual-fuel is a good candidate for the conversion to ammonia and the ships running with LNG can be retrofitted for ammonia operation as the tanks used for storage of LNG with the same requirements can also be used for ammonia (30, 91). However, when designing the storage and propulsion systems, the chemical properties of ammonia should be taken into consideration. Due the corrosive nature of ammonia, copper, brass and zinc alloys need to be avoided as discussed in Part II (92).

By |2021-03-26T11:46:36+00:00March 26th, 2021|Weld Engineering Services|Comments Off on The Position of Ammonia in Decarbonising Maritime Industry: An Overview and Perspectives: Part I

Guest Editorial: Future Fuels and Chemicals

Johnson Matthey Technol. Rev., 2021, 65, (2), 159

Introduction

Today’s fuels and chemicals industries have their roots in 20th century investments in fossil fuel extraction and conversion. Highly integrated petrochemical complexes and refineries have evolved to deliver products that have transformed how we feed, clothe, shelter, make healthier and move people across the globe. The environmental impacts of these industries are under ever tighter scrutiny, particularly as we accelerate towards a future with net zero and circularity at the forefront of our thinking.

This Johnson Matthey Technology Review issue explores technological advances that may evolve to form the backbone of the future fuels and chemicals industries: technologies which will deliver even greater benefits for human life, while treading lightly on our planet.

Themes in the Transition Towards Net Zero and Circularity

There is no ‘silver bullet’ as we transition our industries to their future state. Many advocate that they have ‘the answer’, but the reality is that we must deploy every tool at our disposal today, while continuing to innovate the step-out solutions of tomorrow. The good news is that the fundamentals are in place. Renewable energy costs are falling, we understand the chemical conversions that need to be implemented, and we have the technologies to abate unavoidable greenhouse gas emissions.

New Feedstocks

The chemical industry has always adapted to different feedstocks, driven by price or geopolitical pressures. In recent years shale gas has revolutionised the US chemical industry, whilst China retains a strategic interest in coal. Methane offers significant carbon reduction potential and while it can be readily processed by syngas routes, direct upgrading options continue to be explored. These technologies, applied to renewably derived methane, maintain their relevance in a net zero world.

Bio-derived fuels are already established in transport applications where legislation drives today’s investments (1). While some commercial routes to bio-derived chemicals exist, the same driving force for change is not there. However, brand owners of consumer facing products are making strong commitments to sustainability and decarbonisation (2) which may create the market pull for biobased plastics, surfactants and formulating agents. Contaminated plastics, which cannot be easily recycled back to monomers or polymers, as well as municipal solid wastes, are emerging as feedstocks that can be reconstituted into chemical products via pyrolysis or gasification.

Carbon dioxide from industrial processes or direct air capture will become an important carbon source in the decades ahead. The direct or indirect addition of renewable energy is needed to move back up the thermodynamic hill. Hydrogen generated by splitting water will be a key enabler, as subsequent conversion via syngas into alcohols and hydrocarbons leads into downstream value chains. As well as water electrolysis, electrochemical technologies that reduce carbon dioxide directly are being developed and scaled. These may enable future chemical production at more localised scale.

New Processes

Regardless of feedstock, designing energy and atom efficient processes remains key. 90% of chemical processes today are already catalysed (3), and we can expect this to grow. When developing new processes the mantra of ‘right catalyst, right reactor, right process’ remains truer than ever. Recent progress by Johnson Matthey and its partners in Low Carbon Hydrogen (4) and FT-CANSTM (5) technologies serve to illustrate this point.

Catalytic processes will continue to evolve to deliver more atom and energy efficient flowsheets. Seamless integration of renewable electricity, decarbonised hydrogen and carbon capture will become the norm for chemical plants of the future. Advances in reactor design and control may revolutionise process operation, and the use of lower density feedstocks may drive some applications towards distributed, intensified modules. More hybrid bio-thermochemical processes are likely to emerge as advances in biotechnology are leveraged. The aim here must be to preserve some of the precious functionality within the biomass feed.

New Products

It is interesting to reflect on whether the portfolio of chemicals that make up the industry toolkit today will change significantly in the years ahead. For example, the challenges of recycling a more divergent range of plastics is likely to incentivise the industry to work mostly with decarbonised variants of what is known, rather than seeking radically new polymers.

Fuel slates will shift as transport becomes increasingly electrified, and hydrogen will take up a role as an energy vector alongside electricity. It will be valued for its ability to store and distribute low carbon energy, as well as being the solution to decarbonisation challenges in heavy transport and industry. Kerosene type fuels derived from biomass, waste or e-fuels will continue to dominate long-haul aviation (6). There is much debate around shipping, with hydrogen, methanol and ammonia vying to be selected as the future fuel of choice (7). While production of these molecules is well established, the scale of investments needed to move these commodity chemicals into the fuels arena will surely drive innovation in these mature processes.

Markets that are likely to see most innovation in product design are those in which chemicals are unavoidably released into the environment, such as pesticides, fertilisers, detergents and water-soluble polymers. Biodegradability in real conditions and the minimisation of eco-toxicity will drive the search for materials with improved environmental functionality.

Conclusion

The transition of the fuels and chemicals industries towards a circular, net zero future will require disruptive transformation in how we innovate and deploy technologies. New ecosystems will evolve as the power generation, agriculture and waste management sectors integrate with the chemicals and fuels sectors to meet the challenge. The transition will not be achieved by technology solutions alone. The right legislative frameworks, incentives and business models must be established to create a level playing field in which all embedded environmental impacts are accounted for. Deployment at scale is also essential to move quickly down the cost curves.

We are at the start of a revolution in our industries, but one at which efficient and effective catalyst technology sits at the heart. Industry’s current skills in deploying thermocatalysis will be complemented by advances in bio, electro and possibly photocatalysis. I for one am excited to see what we can collectively achieve over the coming decades as we step up to deliver the solutions needed for a cleaner, healthier world.

By |2021-03-25T15:12:59+00:00March 25th, 2021|Weld Engineering Services|Comments Off on Guest Editorial: Future Fuels and Chemicals

C123 – Methane Oxidative Conversion and Hydroformylation to Propylene

Conversion of methane to ethylene through oxidative coupling has been investigated since the 1980s. One of the limitations of the oxidative coupling reaction is the difficulty to increase the selectivity and the conversion to C2 products, hence new technologies that are better able to convert methane to valuable chemical commodities are needed. This is the goal of the C123 project, which aims to couple the Oxidative Conversion of Methane (OCoM) and hydroformylation to produce C3 products. OCoM is a suite of reactions that aims to improve the overall atom economy of methane coupling reactions to produce an optimum ratio of carbon monoxide:ethylene:hydrogen for hydroformylation. Depending on the amount of hydrogen, the catalyst and the process, the hydroformylation reaction will produce a mixture of propanal and propanol. Propanal can then be hydrogenated to 1-propanol and further dehydrated to propylene. A paper detailing the technical challenges faced by the C123 European consortium was presented in parallel by the partners in C123, the reader is directed there for further details (1). The present paper constitutes an extensive technoeconomic and viability review.

The C123 project will develop two exploitation scenarios known as the add-on route, for a capacity of 200,000 tonnes per year propanol for its conversion to propylene and the modular route, for a capacity of 10,000 tonnes C3 products per year. Propylene has a very large market and this is thus the focus of larger add-on units where the C123 technology would be integrated into an existing petrochemical site, taking benefit of existing infrastructures and gas networks. Currently, propionaldehyde and 1-propanol have a much smaller market as chemical intermediates. They are therefore suitable for the smaller modular units, where the C123 technology would operate on a stand-alone basis. These are specifically useful for utilising either smaller feed sources, such as biogas, or natural gas feed sources at highly remote locations far from existing infrastructure, such as flared gas. To this end, C123 technologies have the potential to reduce global warming emissions by utilising flared methane.

Potential sites appropriate for the commercial implementation of both the add-on and modular C123 technologies are being investigated. The market potential of propanal (such as for propionic acid) and 1-propanol, through identifying their current technologies, market players, product values and qualities, is therefore relevant for determining the best exploitation strategies.

The large-scale add-on process concept and smaller-scale modular concept have different value chains. The add-on route, to be colocated with an existing (petro)chemical facility, is expected to be more economically viable due to the benefit of economies of scale, the possibility to produce high-value propylene and the possibilities to use existing facilities and infrastructure. The main advantage of the modular unit is that it can be placed at remote locations where stranded natural gas or associated gas resources are available, but with logistical challenges for exploiting existing infrastructure such as pipelines, liquefied natural gas (LNG) plants or refineries. The modular unit can also be applied to valorise biogas, which is typically produced in decentralised smaller-scale units. The use of biogas will result in bio-based products, contributing to a more sustainable chemical industry. For this feedstock, Germany has been earmarked as a suitable location. Of all the European countries, Germany produced the most energy from biogas in 2015, contributing 329 PJ of the 662 PJ biogas produced in Europe (49.7%) through 185 biomethane plants (2).

Marginal and associated gas are two examples of stranded natural gas. Associated gas is natural gas found with oil reserves and flared at several locations. A world map with detected flaring sites in 2012 is shown in Figure 1 (3). There is an effort to decrease flaring, because it negatively affects local air quality and releases carbon dioxide, a greenhouse gas, which has a significant impact on global warming and climate change. Consequently, the application of C123 technology for flared gas reduces greenhouse gas emissions, contributing to a more sustainable process and lower environmental impact. Marginal gas includes explored but unused underground gas reserves. A specific marginal gas field of interest to the C123 project is the Absheron gas field (Figure 2). It is estimated to contain 350 billion m3 of gas and covers an area of 270 km2, 500 m under water (5). It is operated by a C123 project partner, Total and located in the Caspian Sea approximately 100 km from Azerbaijan capital Baku where C123 project partner Azerbaijan National Academy of Sciences (ANAS) is located.

Fig. 1

World map with red dots indicating the spots with the largest annual gas flaring emissions of between 0.2–1 billion m3 per year (KLM file in Google Earth from (3))

World map with red dots indicating the spots with the largest annual gas flaring emissions of between 0.2–1 billion m3 per year (KLM file in Google Earth from (3))

Fig. 2

Location of marginal gas resource Absheron in the Caspian Sea close to Azerbaijan (Redrawn from Gotev, 2016 (4))

Location of marginal gas resource Absheron in the Caspian Sea close to Azerbaijan (Redrawn from Gotev, 2016 (4))

There can be several reasons why natural gas remains unused or stranded, such as the distance of the resource to existing infrastructure and markets, unfavourable gas composition or a small gas reserve volume. All of these factors contribute to a lack of economic incentive to utilise stranded natural gas resources. However, the application of the C123 technology aims to address these challenges, by providing an energy and carbon efficient process that will enable the transport of higher-value products than natural gas and using tailored process design for the resource’s composition and available volume. Therefore, it may be profitable to valorise these stranded natural gas reserves. The economic and environmental viability will be determined by performing a technoeconomic assessment (TEA) and a life cycle assessment (LCA), respectively, on the two C123 processes, products and their value chains. Successful implementation of this technology is expected to ensure a secure supply of C3 products that is not dependent on the available oil reserves. An iterative approach between the LCA, TEA and process design will ensure a well-integrated project to reach the overall goals with regards to the technology readiness level (TRL), economic viability and sustainability. The development of stranded gas or biogas is also expected to trigger economic development and the growth of a petrochemical industry to accompany market development.

The add-on route aims to produce large volumes of propylene, a gas that is an important chemical commodity for the production of plastics (polypropylene) and other chemicals. The economic viability of the modular route is conversely dependent on the transportation from remote locations of liquid C3 products. Fortunately, these products, propanal, 1-propanol and propionic acid, already have market applications and a value that could be superior to propylene.

3.1 Propanal

Propanal, also known as propanaldehyde or propionaldehyde, is a liquid, with an ethereal pungent odour (6). Propanal is mainly used as a chemical intermediate in the production of n-propanol and propionic acid, for example. The market for propanal itself is not large and the annual quantity imported or manufactured in Europe is in the range of 100–1000 tonnes according to the European Chemicals Agency (ECHA) (7). Main producers consume it internally. Hydroformylation of ethylene with synthesis gas (syngas) is the usual process to produce propanal. An alternative route, through isomerisation of allylic alcohol, would nevertheless also be possible (i.e. enol reaction).

According to the trade data, there was a significant volume of exports of propanal in 2019 (8, 9), amounting to 286,000 tonnes worth US$725 million.

  • Germany had 22% in value of the world exports or about 83,000 tonnes (BASF, Oxea)

  • The USA had 22% or about 54,000 tonnes (The Dow Chemical Company, Eastman Chemical Company)

  • China had 14% or about 39,000 tonnes (Zibo Nalcohol Chemical Company, which represents a production of 2 million tonnes per year).

Trade data are accessible through the harmonised system (HS) code (numbers used to classify traded products), for example 291219 which includes “acyclic aldehydes, without other oxygen function (excluding methanal, ethanal, butanal, benzaldehyde)”. Therefore, it is not possible to isolate propanal in the trade data, but because it is the main product share under this code, general trends are relevant.

The data in Figure 3 are computed from the export volumes and take into account the average distance travelled by the product weighted by the trade value. The concentration parameter is an indication of the diversity of customers (importing countries); a concentration value of 1 means export to a single country. The trade balances (exports-imports) are used as the indicator, but the distance is based on exports only. Chinese and US products travel longer distances than products made in Germany. The data illustrate that for this product (propanal), there would certainly be a demand for small or local production, with small units, avoiding long distance transports and representing a potential market of US$100 million. Stranded gas, complemented with biogas, make methane an ubiquitous resource for small plants. Taking into account the higher cost for importing small volumes of products and other logistics costs, a local small production cost compares more favourably than with world market prices. In addition, production on-site and on-demand contributes to the reduction of other associated costs such as inventory and safety and require specific local investigation.

Fig. 3

Concentration of exporting countries of products 291219 (acyclic aldehydes) and average distance with their destination countries in 2019. Data computed from Trade Map (9)

Concentration of exporting countries of products 291219 (acyclic aldehydes) and average distance with their destination countries in 2019. Data computed from Trade Map (9)

3.2 1-Propanol

1-Propanol is a colourless liquid whose odour and flavour are alcoholic and earthy (10). Due to its excellent solvent properties, 1-propanol is used in various applications, including lubricants, coating products, dispersing agents, pesticides, surface agents, cleaning products and adhesives. This material is also used for packaging and food-contact applications and was recently also used in some sanitiser gels in combination with isopropanol.

Due to the wide range of potential applications, the market is more developed and the annual quantity imported or manufactured in Europe is in the range of 10,000–100,000 tonnes according to the REACH registrations (11). 1-propanol has 85% of the propanol market, with 15% for isopropanol (2-propanol). 1-propanol can be produced through hydrogenation of propanal, or directly from syngas through the Fischer-Tropsch process developed by Sasol, in which it is separated from the mix of products. Interestingly, there does not seem to be a commercial fermentation route to produce biobased 1-propanol.

The propanol HS trade code is 290512, including both 1-propanol and 2-propanol. Because 1-propanol represents 85% of the market, the trade data mostly represent the targeted product. Asian countries produce mostly 2-propanol (for example by Tokuyama, ISU Chemical, LCY Chemical Corp, Zhejiang Xinhua Chemical Company, LG Chem). For the readers who would be interested in 2-propanol trade and productions, we suggest to look at the phenol trade data. Acetone is coproduced with phenol and 2-propanol can be produced either by hydrogenation of acetone, or direct hydration of propylene, or fermentation (just starting). So if acetone is the main source for 2-propanol, it would be linked with phenol production. But this is not the scope of the present paper.

The net difference between exports and imports has been computed from the annual data available from Trade Map between 2010 and 2018 and is shown in Figure 4. This was done to identify where the main producers are located and to eliminate the countries only involved in trading. Imports and exports are based on the HS trade codes for both propanol isomers.

Fig. 4

Calculated average of annual differences between exported and imported quantity, in each country, for the 2010–2018 period (tonnes per year), for products 290512 (1-propanol and 2-propanol). Data computed from Trade Map (9)

Calculated average of annual differences between exported and imported quantity, in each country, for the 2010–2018 period (tonnes per year), for products 290512 (1-propanol and 2-propanol). Data computed from Trade Map (9)

According to the trade data, there was a significant volume of 1-propanol and 2-propanol exports in 2019 (9, 12):

  • The USA had 24% of the world exports in value or 307,000 tonnes (The Dow Chemical Company, Oxea). Oxea produces around 100,000 tonnes per year (13)

  • China had 10% or 183,000 tonnes (Zibo Nalcohol Chemical Company which produces 1 million tonnes per year) despite a negative trade balance (imports larger than exports) in 2019 (–US$2.1 million)

  • Germany had 9.2% or 101,000 tonnes (Sasol Germany, Oxea)

  • The Netherlands had 7.8% or 93,000 tonnes (Eastman Chemical Company)

  • South Africa had 6.3% or 103,000 tonnes (Sasol, which claims 30% of the 1-propanol market) (14).

These data illustrate the market activity. The same country can be an exporter and an importer of the same chemical compound. It is obvious for large countries like China, Russia or the USA, where the east and west coasts can more easily import from other countries than to transfer product from the other side of the country. Therefore export volumes and value from major producers are more relevant to assess potential for production units in other countries. In addition the volume produced is not necessarily in line with the exported volume, since a lot of captive use can exist. However, the share of exports to the production capacity is an important indicator to identify the potential risks linked with a specific producer or producing country.

Exporting countries sell the product in many countries (low concentration factor) Figure 5. Moreover, the average distance is similar to that of propanal. Germany and The Netherlands export to Europe, while South Africa, South Korea and the USA export at longer distances. The largest shares of export values are in the USA, where products travel on average 6000 km. This supports the notion that smaller, modular C123 plants for local production should have a commercial interest, with a cumulated value of US$350 million (this value is calculated based on the export values from South Africa, USA and South Korea from which the product travel more than 6000 km). When products travel on long distance, they not only consume a lot of energy for transport, but also contribute that way to global warming but are also more sensitive to energy price variations and as seen recently to unpredictable events like COVID-19 and country resilience.

Fig. 5

Concentration of exporting countries of products 290512 (1-propanol and 2-propanol) and average distance with their destination countries in 2019. Data computed from Trade Map (9)

Concentration of exporting countries of products 290512 (1-propanol and 2-propanol) and average distance with their destination countries in 2019. Data computed from Trade Map (9)

3.3 Propionic Acid

Propionic acid is a colourless pungent odorous liquid (15). Propionic acid is manufactured to be used as preservative and anti-mould agent in animal feed and grain (16). It is also used as a chemical building block for the production of herbicides, pharmaceuticals, dyes, textile and rubber products, plastics, cosmetics and perfumes. In addition, propionic acid is a preservative and flavouring agent in packaged foods.

The annual quantities imported or manufactured in Europe is in the range of 100,000–1,000,000 tonnes, according to ECHA (17). The calculated average of annual differences between exported and imported quantities are shown in Figure 6. Propionic acid is produced either by oxidation of propionaldehyde or by a Reppe process, i.e. the hydroxy-carboxylation of ethylene (18). The HS trade code 291550 includes propionic acid, its salts and esters. Because propionic acid is needed for the creation of its salts, the traded volumes are relevant for discussion.

Fig. 6

Calculated average of annual differences between exported and imported quantity for the 2010–2018 period (tonnes per year), for product 291550 (propionic acid, its salts and esters). Data computed from Trade Map (9)

Calculated average of annual differences between exported and imported quantity for the 2010–2018 period (tonnes per year), for product 291550 (propionic acid, its salts and esters). Data computed from Trade Map (9)

According to the trade data, propionic acid export volumes in 2019 were as follows (9, 19):

  • The USA had 25% in value of the world exports or about 135,000 tonnes (The Dow Chemical Company which increased its capacity of production in 2017) (20)

  • Germany had 14% or 46,000 tonnes (BASF and Oxea which expanded its capacity in 2017) (21)

  • The Netherlands had 14% or 39,000 tonnes (Eastman Chemical Company) despite a negative trade balance in 2019 (–US$4.1 million)

  • China had 6.8% or about 20,000 tonnes (BASF‐YPC which increased its production in 2019 to 69,000 tonnes per year) (22)

  • Sweden had 9.6% or about 35,000 tonnes (Perstorp) (23).

The capacity expansions which have been made recently by several producers are a good sign that the market demand is growing, whether the growth is for captive use or to satisfy customer demands.

In contrast with the exporting countries of the two previous products, the export concentration (Figure 7) is higher for propionic acid and is above 0.8 in case of China. This means that exporters have a limited number of customers in targeted regions. Nevertheless, the average distance from a given exporting country to their markets is similar. Sweden appears as an exporting country to neighbouring northern Europe, while Germany exports worldwide. Again, the USA has the largest share in export value, with products traveling more than 5000 km. Once again this supports the notions that it would make sense to have more localised production of this C3 chemical.

Fig. 7

Concentration of exporting countries of products 291550 (propionic acid, its salts and esters) and average distance with their destination countries in 2019. Data computed from Trade Map (9)

Concentration of exporting countries of products 291550 (propionic acid, its salts and esters) and average distance with their destination countries in 2019. Data computed from Trade Map (9)

4.1 Energy

The variation of the trading value (import and export prices) for 1-propanol and 2-propanol from the USA (9), together with the price of crude oil (Brent is selected as a better world price reference than West Texas Intermediate) (24), US ethylene (25) and propylene (9), the traditional feedstocks for the C3 products, is shown in Figure 8. It illustrates that the value of propanol replicates the price of crude oil, ethylene and propylene and the dependence between the prices of the raw material and products of interest. When propanol is at the same price per tonne as propylene, there is more value in propanol, since the dehydration to propylene also corresponds to a weight loss in material.

Fig. 8

Evolution of energy (crude oil), ethylene, propylene and propanol prices in the USA between 2010 and 2018. Data from Trade Map (9) and IHS Markit (25)

Evolution of energy (crude oil), ethylene, propylene and propanol prices in the USA between 2010 and 2018. Data from Trade Map (9) and IHS Markit (25)

Importantly, the price of the product depends on the production process as well. In South Africa propanol is produced by Sasol via the Fischer-Tropsch process, which resulted in an average export price of US$765 tonne–1 (9), compared to the USA where propanol is produced through the hydrogenation of propionaldehyde, resulting in an export unit value (calculated as a ratio between the exported value and the volume exported) at around US$1008 tonne–1 (9). For more details on the way the values are calculated, the reader can refer to the website in reference.

4.2 Correlation Matrix

In a correlation matrix, values can be between –1 and +1. A positive value means that two parameters vary in the same direction. A value close to 0 means that the parameters are relatively independent, while a value close to 1 means that the parameters are highly dependent on each other.

The influence of raw material costs on final product prices in a process can be analysed with the help of a correlation matrix. The correlation matrix in Figure 9 is made for US exports, because the country is producing the three targeted products in large quantities. Thus, we can isolate the price fluctuations of the geo-economic environment to reflect the connections to raw materials.

Fig. 9

Correlation matrix between unit values for exports from the USA, monthly data in the period 2010–2018. Data from Trade Map (9) and IHS Markit (25)

Correlation matrix between unit values for exports from the USA, monthly data in the period 2010–2018. Data from Trade Map (9) and IHS Markit (25)

The value of exported ethylene correlates less with the value of crude oil (value of 0.76) than with the value of propylene (value of 1). This is most probably due to the fact that recently, ethane crackers have increased ethylene production in the USA. Propanal, which is produced through ethylene hydroformylation, correlates poorly with ethylene (value of 0.52), because most of the production is consumed internally and only part of it is sold on the market. Propanol correlates with the price of crude oil (0.67) and ethylene (0.53), as this is the major market; while propionic acid, used in feed additives, has a rather small market and therefore poorly correlates with feedstocks (values of 0.07–0.17). Products correlate poorly between themselves (for example, propanol and propionic acid has a value of 0.04). This shows that there are opportunities for each product and that a balanced product portfolio is probably a wise strategy. In addition, the targeted products have a high growth potential (pre-COVID-19 estimates), of around 6–8% compounded annual growth rate (CAGR). Therefore, propylene, propanal, n-propanol and propionic acid are deemed good C3 candidates for the C123 technology.

In the C123 project, opportunities to valorise low-value stranded gas such as marginal or flared gas and biogas for the production of bio-based C3 chemicals, are investigated. Two process design routes are considered: a larger add-on unit to an existing petrochemical site(s) or a smaller modular unit for remote feedstock locations.

In this market study it is shown that there is a fair market potential, with good opportunities for modular units focusing on local production, for the three primary products derived from the C123 modular route: propanal, n-propanol and propionic acid. Other products derived from propionaldehyde and propanol will be also investigated in C123, with the objective to identify other market opportunities.

By |2021-03-23T12:42:35+00:00March 23rd, 2021|Weld Engineering Services|Comments Off on C123 – Methane Oxidative Conversion and Hydroformylation to Propylene

Energy System Modelling Challenges for Synthetic Fuels

Johnson Matthey Technol. Rev., 2021, 65, (2), 263

1. Introduction

In 2015, the global community committed to limiting warming to “well below 2ºC” and to pursuing efforts to limit warming to “1.5ºC above pre-industrial levels” (1). Global CO2 emissions must halve by 2030 if we are to have a chance of reaching the 1.5ºC target (2). This will require dramatic transformations in all aspects of energy systems around the world. The UK Government, for example, has responded by enacting a new target of net zero greenhouse gas (GHG) emissions by 2050 (3).

Much more stringent climate targets set worldwide has brought renewed attention on the environmental burdens of aviation. The emissions impact of international flying can be 30 times greater than the low-carbon alternative of international rail per passenger kilometre (4). The global aviation industry is responsible for 2% of all anthropogenic CO2 emissions, but sectoral emissions are set to grow at an annual rate of 4% along increase in international and domestic air travel demands (5), notwithstanding the impacts of the COVID-19 pandemic. In addition, the warming effect of aviation is doubled due to nitrous oxide and water vapour emissions at high altitudes.

While previous decarbonisation efforts for aviation were provided by other sectors via carbon offsetting schemes (5), this is more difficult to justify under net-zero futures. Decarbonising aeroplanes via new technologies is challenging as high energy density fuel is required for long-distance air travel. Electrification of aircraft has shown some progress as of late, but only for small-scale aircrafts (~20 seats), and it is set to remain focused on short-distance air travel for the foreseeable future (6). Without reliance on early-stage technologies and heavy infrastructure investments, low-carbon replacement (i.e., ‘drop-in’) fuels that meet jet fuel specifications are desirable. Bio-based and synthetic jet fuels have strong potential for decarbonisation. These options would have low or zero CO2 emissions over their lifecycle. Recognising this, ASTM International, USA, has internationally certified several sustainable aviation fuels (SAF) for commercial use.

Table I lists the five alternative jet fuel (AJF) pathways approved so far for commercial airlines. In all cases, neat AJF must be blended with conventional jet fuel (i.e. fossil-based) before it can meet specific properties and molecular components that of standard jet fuel. At this time, the highest possible blend percentage of AJF is 50% by volume. This limit is expected to be increased over time (8), for example through efforts to modify certified routes and pursue enhanced conversion strategies to include additional hydrocarbon products, such as aromatic content, to allow for greater blending volumes of the AJF product (9). Possible feedstocks are of biomass origin, with varying pre-treatment and conversion processes. FT synthetic paraffinic kerosene (FT-SPK) and FT synthetic paraffinic kerosene with aromatics (FT-SPK/A) pathways are the most favourable options in terms of technology maturity and versatility of feedstock, and can take in virtually any carbon based raw material (10).

Table I

Current Options for Alternative Jet Fuel Approved by ASTM International (7)

Alternative jet fuel Abbreviated Possible feedstocks Maximum blending ratio by volumea, % Year approved
FT synthetic paraffinic kerosene FT-SPK Biomass and waste 50 2009
Hydroprocessed esters and fatty acids synthetic paraffinic kerosene HEFA-SPK Lipids 50 2011
Hydroprocessed fermented sugars to synthetic isoparaffins HFS-SIP Sugars 10 2014
FT synthetic paraffinic kerosene with aromatics FT-SPK/A Biomass and waste 50 2015
Alcohol-to-jet synthetic paraffinic kerosene ATJ-SPK Starch/sugar or cellulosic biomass 30 2016
Catalytic hydrothermolysis synthetic kerosene CH-SK or CHJ Lipids 50 2020
Hydroprocessed hydrocarbons, esters and fatty acids synthetic paraffinic kerosene HHC-SPK or HC-HEFA-SPK Algae and lipids 10 2020

Many of the AJF pathways involve synthetic products. The term ‘synthetic fuels’ is widely used as an umbrella definition describing fuels produced from coal, natural gas or biomass through chemical conversion into synthetic crude or synthetic liquid products. Recently, the term is increasingly associated with relatively clean fuels produced from low-carbon feedstocks. These types of fuels have various potential applications across the energy system in line with net zero ambitions (11), with some organisations envisaging up to 15% of final energy consumption from synthetic fuels in their modelling scenarios (12).

There are many processing options in the production of synthetic fuels. Typically, a carbon source is converted into synthesis gas (syngas, a mixture of carbon monoxide and hydrogen) through gasification. This in turn is synthesised into useful hydrocarbons, which are refined or upgraded for end use. Synthesis is usually via either FT synthesis or methanol synthesis. These syngas platforms produce premium alternative fuels that are compatible with existing infrastructure. Much of the current industry and academic focus is on FT synthetic fuels from sustainable feedstocks: biomass (1315), waste (1618) and captured CO2 (19, 20). Therefore, this paper centres on FT jet fuel applications in energy system models.

Energy system models are often used to inform low-carbon energy policies (21). They model the entire energy system from domestic production of fuel resources, commodity processing, to secondary energy carriers and end-use energy service demands across the economy (22). Energy system models balance various interactions, delivering energy services at minimum global cost while meeting GHG targets. Such modelling methods allow for systematic experimentation of multidimensional variables corresponding to climate, technology, economy and policy (23).

In this paper, we examine whether there is a need to improve the representation of the role of synthetic fuels in energy system models, using three models as case studies: UK TIMES, JRC-EU-TIMES and TIAM-UCL. The paper is organised as follows. Section 2 reviews synthetic jet fuel manufacture through the sequence of gasification and FT processes, including all three sustainable feedstocks that can be processed through this route, i.e. biomass, waste and hydrogen and captured CO2. Section 3 presents current available technologies in the three models and compares model outputs of jet fuel production in decarbonisation scenarios that are consistent with the Paris Agreement. It outlines the role of synthetic jet fuel in aviation according to the models through to 2050. Section 4 discusses the scenario outputs and recommends improvements in model design and evaluates challenges and opportunities for synthetic fuels in the future of energy systems modelling. We draw conclusions in Section 5.

2. Synthetic Jet Fuel Manufacture

Synthetic jet fuel is produced from biogenic sources (for example, biomass and waste) in three stages. First, syngas is produced through gasification of the feedstock and is cleaned and conditioned. Alternatively, syngas components could be collected from elsewhere, for example by mixing hydrogen from electrolysis with CO2 from industrial flue gases. Second, middle distillates are produced from the syngas through FT synthesis. Third, the FT liquids (or ‘syncrude’) are refined and upgraded to high-quality jet fuel. Syngas from non-biogenic sources are conditioned to suit FT synthesis and subsequently processed through the same steps as the above. Figure 1 shows the schematic line-up of possible FT routes to synthetic jet fuel.

Fig. 1

Schematic of the FT process to produce synthetic jet fuel. First, a syngas is produced by: (a) biomass or waste gasification; or (b) hydrogen generation through electrolysis and combination with captured CO2; (c) the syngas is converted to longer-chain hydrocarbons via FT synthesis and upgraded or refined into synthetic jet fuel. Commodities are in grey and processes are in clear boxes

Schematic of the FT process to produce synthetic jet fuel. First, a syngas is produced by: (a) biomass or waste gasification; or (b) hydrogen generation through electrolysis and combination with captured CO2; (c) the syngas is converted to longer-chain hydrocarbons via FT synthesis and upgraded or refined into synthetic jet fuel. Commodities are in grey and processes are in clear boxes

2.1 Biomass Conversion to Synthetic Fuels

Biomass gasification FT to synthetic fuels is one of the most sought-after and technologically-advanced routes to producing liquid fuels. Owing to the potential to compete with other land uses, particularly food production, globally and in the UK, the production of primary biomass feedstock raises sustainability concerns (24). As the global bioeconomy grows, a relatively wide range of sustainable biomass supply options will be needed. Many studies have evaluated the feasibility of biomass to jet fuel applications from second-generation biomass sources (13, 14).

There are many successful pilot and demonstration scale biomass to liquid (BTL) plants (25). Yet none have been scaled-up to a commercial size (26, 27). One major factor is that BTL plants are only economical at large-scale of greater than 30,000 barrels per day (bpd), so an operator needs to secure substantial biomass resources, which have high transportation costs (15). A company has developed microchannel FT technology to circumvent this issue, which is commercially-viable at production capacities of as low as 1500 bpd (28). The merit of owning several smaller production facilities instead of a single large one has not yet been evaluated.

2.2 Waste Conversion to Synthetic Fuels

Another pathway under investigation is the production of synthetic jet fuel from waste feedstocks (16, 29). In contrast to crop-based feedstocks, waste for alternative fuel production does not require additional land and does not compete directly with food production. In particular, municipal solid waste (MSW) could offer significant environmental advantages by displacing petroleum-derived fuels while also avoiding CO2 emissions associated with landfill, where waste of biogenic origin decomposes to methane which escapes to the atmosphere.

One of the challenges of using MSW as feedstock comes from its variable composition, which varies from place to place. Reasons include the type and efficacy of local recycling schemes, the culture of the urban population and the time of year, so pose a challenge from a feedstock management standpoint during gasification. For modelling energy generation, MSW is often assumed to contain a 50% organic fraction. Despite the potential advantages of and commercial interest in MSW jet fuels, only three peer-reviewed studies have considered the economic and environmental feasibility for a limited number of pathways (17, 18, 30). There are no studies available that focus on the role of MSW to liquid fuels from the perspective of energy modelling.

2.3 Hydrogen and Carbon Dioxide Conversion to Synthetic Fuels

Hydrogen to synthetic fuels with captured CO2 as feedstock is another possible pathway to producing synthetic jet fuel. Due to the relative novelty and broad technological coverage, the semantics of hydrogen and captured CO2 to liquid fuels varies in literature. They are known as electrofuels (e-fuels), power-to-liquids (PtL) or synthetic fuels (31).

There are many variants to producing e-fuels, but all pathways commonly follow three key processing steps: (a) hydrogen production; (b) CO2 capture; and (c) synthesis (for example, FT or methanol synthesis). In industry, steam methane reforming (using natural gas and steam to produce hydrogen and CO2) is most commonly used to produce hydrogen. But there would only be an emissions reduction if no CO2 were produced during hydrogen synthesis. It is therefore most likely that the hydrogen would be produced through electrolysis – splitting water or steam into its chemical constituents (hydrogen and oxygen) – which has the potential to be deployed in producing low-carbon hydrogen in the near- to mid-term if renewable electricity is used (32). There are three main types of electrolysis technology, differentiated by their cell electrolyte: (a) alkaline electrolysis; (b) proton exchange membrane (PEM); and (c) solid oxide electrolysis cell (SOEC) (33). Sources of electricity will have a big impact on the cost of electrolysis (i.e. intermittent sources will have higher cost). However, in time, electrolysis options are likely to become more commercially viable, as the price of sustainable electricity falls and the technology matures to be more efficient.

CO2 capture could be from any high-concentration CO2 source, such as industrial processes or power generation plants. Alternatively, CO2 could be captured directly from air using direct air capture (DAC) technologies such as amine absorption. However, capture from air requires two to four times more energy compared to from flue gases even with strong bases for scrub (31).

The CO2 and hydrogen undergo FT synthesis to produce ‘e-crude’ (a renewable crude oil substitute). A renewable energy-focused company called Sunfire, Germany, operates a facility for the purposes of producing e-crude, which can be refined to generate synthetic jet fuel. The role of hydrogen in the global energy system has been studied extensively but using hydrogen as an intermediate for synthetic fuels is not the focal point in any study due to high cost and difficulties faced in processing (34).

3. Synthetic Fuel in Energy System Models

Although technoeconomic assessments of sustainable synthetic fuels have been performed (9, 35, 36), their role in low-carbon energy systems is not well understood. A recent study (37) touches on the importance of biomass-derived synthetic transport fuels in a global energy system, but is focused on the role of bioenergy and CO2 removal technologies. A study (38) examined the potential role of FT synthetic fuels in the global energy system as a major alternative energy carrier, but their assumptions on relatively new technologies are outdated or they are not represented at all. European Union (EU) (39) and global (40) energy system modelling studies that focus on the competitiveness of PtL production pathways have model limitations. The global study does not differentiate between synthetic manufacturing processes (such as FT and methanol synthesis), but instead includes a proxy for all synthetic fuels that does not reflect their varying feedstocks and costs. This model also assumes gasoline, diesel and jet fuels are indistinguishable, yet fuel standards for each of these are quite different in reality. The EU study uses the JRC-EU-TIMES model, whose assumptions are examined in Section 3.1. A national-scale study (41) explores the opportunities for power-to-gas and PtL using an energy system simulation model (EnergyPLAN), but here we examine cost-optimisation models as we aim to understand whether synthetic fuels are likely to be economically-viable in the future.

We examine the role of synthetic fuels in three energy system models operating at different spatial scales: TIAM-UCL (global), JRC-EU-TIMES (EU) and UK TIMES (national). The TIMES Integrated Assessment Model was developed by the International Energy Agency (IEA, France) Energy Technology Systems Analysis Program (IEA-ETSAP). This ETSAP-TIAM model has 15 regions representing global decarbonisation to the year 2100 (42). A version was subsequently developed at University College London (UCL), UK, that included a UK region (TIAM-UCL), as well as a number of improvements particularly around resource availability (43). The JRC-EU-TIMES model represents the 27 EU countries and close neighbours (for example Norway, Switzerland, UK) as separate regions (44). The single-region UK TIMES energy system model is jointly developed by UCL and the UK Government, and has informed a number of UK decarbonisation policies including the Clean Growth Strategy (45).

All three models use TIMES model generator, which is developed by IEA-ETSAP (46). TIMES is a bottom-up (i.e. technology-rich) technoeconomic least-cost optimisation model. It is used to identify decarbonisation pathways for energy systems, over long time horizons that meet all projected energy service demands across the economy.

TIMES includes detailed representations of both current and potential future energy technologies. Technologies are characterised by their efficiency (input and output), cost (capital expenditure and operating expenditure) and lifetime. Energy commodities are produced and consumed by technologies, and can be traded between regions. Commodity shadow prices are endogenously calculated through supply and demand curves (47).

In this section, we first examine which synthetic fuel production technologies are included in each model and how they are parametrised, in order to identify whether the approaches and data assumptions are consistent. We then examine a comparable decarbonisation scenario in each model to investigate which of these technologies are deployed, in order to understand whether these technologies might have a substantive role in future energy systems. Through these two analyses, we can ascertain whether there is a need to improve the representation of these technologies in these models.

3.1 Representation of Synthetic Fuel Routes

Table II summarises the technologies that are available to produce synthetic fuels. Figure 2 displays the jet fuel production technologies that are represented in each model.

Table II

Comparison of Synthetic Fuel Production Technologies in the UK TIMES, JRC-EU-TIMES and TIAM-UCL Energy System Models

Model Description Main feedstock Capital cost, € PJ–1 yr–1 jet fuel Efficiencyc, % Lifetime, years
UK TIMES FT diesel and kerosene production Pellets 27.0 0.75 30
JRC-EU-TIMES FT diesel production Wood 132.5 0.56 20
JRC-EU-TIMES FT diesel production with CCS Wood 132.5 0.56 20
JRC-EU-TIMES Hydrotreated vegetable oil production Oil crop 4.8 0.75 20
JRC-EU-TIMES Diesel production from electricity and captured CO2a Electricity 32.6 0.55 20
JRC-EU-TIMES Diesel production from hydrogen and captured CO2b Hydrogen 14.4 0.78 20
JRC-EU-TIMES Diesel production from electricity and atmospheric CO2 Electricity 130.4 0.33 20
TIAM-UCL FT diesel and kerosene production Agricultural and forestry residues 35.5 0.50 30
TIAM-UCL FT diesel and kerosene production with CCS Agricultural and forestry residues 49.6 0.42 30
TIAM-UCL FT diesel and kerosene production Energy crops 35.5 0.50 30
TIAM-UCL FT diesel and kerosene production with CCS Energy crops 49.6 0.42 30

Fig. 2

Simplified technology coverage of jet fuel production in UK TIMES, JRC-EU-TIMES and TIAM-UCL energy system models. A: Each model has a unique pre-treatment method and different types of supply feedstock for ‘biomass’, the latter is listed in the ‘Main feedstock’ column in Table II. B: CO2 is captured and utilised to produce synthetic kerosene in JRC-EU-TIMES, various sources for CO2 are listed in Table III. C: Hydrogen is produced or circulated from the centralised medium size alkaline electrolyser, centralised hydrogen tank or centralised hydrogen from underground storage. D: Intermediate carriers are blended as described in the text for JRC-EU-TIMES. E: hydrotreated vegetable oil (HVO)

Simplified technology coverage of jet fuel production in UK TIMES, JRC-EU-TIMES and TIAM-UCL energy system models. A: Each model has a unique pre-treatment method and different types of supply feedstock for ‘biomass’, the latter is listed in the ‘Main feedstock’ column in Table II. B: CO2 is captured and utilised to produce synthetic kerosene in JRC-EU-TIMES, various sources for CO2 are listed in Table III. C: Hydrogen is produced or circulated from the centralised medium size alkaline electrolyser, centralised hydrogen tank or centralised hydrogen from underground storage. D: Intermediate carriers are blended as described in the text for JRC-EU-TIMES. E: hydrotreated vegetable oil (HVO)

TIAM-UCL represents FT reactors with or without CCS that produce synthetic fuels from either fossil sources (coal, natural gas) or biomass (agricultural and forestry residues, or energy crops). It does not represent the possibility of using captured CO2 and hydrogen to manufacture jet fuel.

JRC-EU-TIMES represents a much broader range of FT technologies. It represents jet fuel as a blend of oil-derived kerosene, hydrotreated vegetable oil, FT biodiesel and synthetic kerosene from hydrogen and captured CO2. The model assumes diesel and kerosene are interchangeable, thus it mixes various types of synthetic diesel and kerosene in any proportions for the blendstock. It is not clear that the flexibility over blends of different fuels in jet fuel that is assumed in the model would meet international fuel quality standards. The FT plants have versions with and without CCS.

The UK TIMES model represents only a single FT plant that produces 50% diesel and 50% kerosene from biomass. There is no carbon capture and utilisation (CCU) route in UK TIMES to produce jet fuel from hydrogen and captured CO2.

The capital costs of FT plants in TIAM-UCL and JRC-EU-TIMES are similar, while the process efficiency is assumed higher in JRC-EU-TIMES. The UK TIMES FT process has a much lower capital cost and a substantially higher process efficiency. The JRC-EU-TIMES technologies producing synthetic diesel from hydrogen and CO2 have surprisingly low costs and high efficiencies. TIAM-UCL and UK TIMES assume 30 year plant lifetimes, while JRC-EU-TIMES assumes a lifetime of only 20 years for all plants.

3.2 Economic Viability of Synthetic Fuel Routes in the Long Term

The Paris Agreement aims to keep the global temperature rise well below 2ºC compared to pre-industrial levels (1). TIAM-UCL has a climate module that links global temperature with global emissions. We examined a decarbonisation scenario in TIAM-UCL in which emissions are constrained so that the global temperature does not exceed 1.5ºC this century. This approach cannot be used for regional models such as JRC-EU-TIMES and UK TIMES. We instead assumed that Europe would adopt a net zero emissions target for the year 2050, as proposed by the European Commission in the European Climate Law. Since JRC-EU-TIMES represents only the energy system, we estimated emissions in 2050 from industrial processes, land use, agriculture and waste, and concluded that these would need to be offset by 400 million tonnes CO2 equivalent of negative emissions from the energy system. UK TIMES represents all emissions from these sectors, including mitigation options, so we set a target of net zero GHG emissions in that model. Since every country has agricultural and land use emissions that cannot be mitigated, it is necessary for the energy systems to have net negative emissions in order to meet the overall net zero target (48).

With such challenging emission targets, CCS has important roles in the scenarios from all three models. As these are least-cost optimisation models, synthetic fuels are undermined if it is cheaper to use oil-derived kerosene and offset the emissions using a greenhouse gas removal (GGR) option. Thus, it is important to understand the capacity of captured CO2 in the models. Table III shows the model results of the source of captured CO2 in each model for 2050. All three models represent negative emission technologies, which sequester atmospheric CO2 underground, and both DAC and biomass have substantial roles. Natural gas is also a substantial CO2 source for UK TIMES. JRC-EU-TIMES reaches a 1000 million tonnes CO2 sequestration limit in 2050 and this might have prevented higher natural gas CCS. The source of captured CO2 is important because carbon in jet fuel is released to the atmosphere as CO2, and if it is from a fossil source then there is a net increase in emissions even though the carbon is recycled. In each model, there are substantial amounts of captured atmospheric carbon that can be used to produce carbon-neutral jet fuel.

Table III

Total Captured CO2 in 2050 Across all Regions Each Scenario, Shares by Type of Capture Technology

Source of captured CO2 TIAM-UCL JRC-EU-TIMES UK TIMES
DACa 1% 69% 49%
Biomassa 70% 25% 22%
Natural gas 9% 6% 27%
Waste 0% 0% 0%
Industrial processes 20% 0% 1%

The technologies used to produce jet fuel globally, in Europe, and in the UK, are compared for the three models in Figure 3. Despite keeping the global temperature rise below 1.5ºC, the TIAM-UCL scenario has a limited role for synthetic fuels in aviation worldwide, comprising less than 5% of the total market for jet fuel by 2050. In contrast, JRC-EU-TIMES uses four different production routes and most jet fuel is low carbon. The synthetic kerosene route using captured CO2 and hydrogen provides the largest contribution across Europe, yet is not considered as an option in the other two models. UK TIMES uses only fossil-based kerosene in 2050, because biomass availability is very constricted and is generally used by negative emission technologies. This reflects the lack of a FT plant with CCS in UK TIMES, and the assumption that only half of the plant output would be kerosene while the other half would be relatively low-value biodiesel. Under these assumptions, aviation fuel is a less economic market for biomass than alternatives such as biomass electricity generation with CCS.

Fig. 3

Global jet fuel production in 2050 (PJ yr–1), from net zero scenarios in the TIAM-UCL, JRC-EU-TIMES and UK TIMES energy system models

Global jet fuel production in 2050 (PJ yr–1), from net zero scenarios in the TIAM-UCL, JRC-EU-TIMES and UK TIMES energy system models

JRC-EU-TIMES assumes substantially higher demand for jet fuel by 2050 both across Europe and in the UK. As well as higher demand for air travel, this could reflect a more pessimistic view of the potential for fuel savings through redesigning aircraft and improving the operational efficiency of fleets.

4. Discussion

Synthetic fuels have received little attention in energy system models in the past because of their perceived high costs compared to other decarbonisation approaches, and because there are large uncertainties in the plant cost and performance data. The only exception has been for technologies using fossil fuels as feedstocks, where there are historical precedents based on energy security needs. As climate science has evolved, decarbonisation targets have become more stringent. While synthetic fuels were expected to have at most a minor role in future energy systems with emissions at 60% or 80% below 1990 levels, the JRC-EU-TIMES scenario in Section 3.2 show that they could make an important contribution to net zero systems.

Yet the choice and level of deployment of these technologies varies substantially between the three models. One reason is that there is uncertainty within the modelling community about which of these technologies is likely to be technically feasible, and about the cost and performance of the technologies. UK TIMES represents only a single inflexible FT reactor, with only biomass as a feedstock, and with no CCS option. The value of the plant is further reduced by assuming that only 50% of the output can be biokerosene, with lower-value biodiesel comprising the remainder. This technology has no role in 2050 as biomass is more economically used in negative emission plants. In contrast, JRC-EU-TIMES has a range of plants using both biomass and captured CO2, and with CCS options. In the JRC-EU-TIMES net zero scenario, the CCS versions of both sets of technologies make important contributions. Given the stringent climate targets, in TIAM-UCL synthetic jet fuels are produced exclusively by FT processes with CCS using biomass feedstock (energy crops, and agricultural and forestry residues). Fossil FT processes are not used but kerosene from crude oil is still produced, with the associated emissions offset by ‘negative emissions’ from bioenergy with CCS (BECCS) electricity generation plants. The availability of other GGR technologies (such as DAC and afforestation) does not reduce pressure on biomass sources but it does change the role of BECCS for climate mitigation (37).

These scenarios suggest a close relationship between negative emissions, CCS and synthetic fuels. This is illustrated by comparing the net zero scenarios in the European and UK models. The JRC-EU-TIMES model assumes that CO2 sequestration cannot exceed 1000 million tonnes CO2 per year in 2050, and this limit is reached. For this reason, virtually all sequestration capacity is used for negative emissions and synthetic fuels have an important role. Since the UK has a large CO2 sequestration capacity compared to the European average, the sequestration limit is not reached in UK TIMES. Natural gas is a substantial source of CO2, and there is less need for synthetic fuels.

4.1 Improvements to Model Design

Synthetic fuels from hydrogen and captured CO2 constitutes around 40% of jet fuel production in JRC-EU-TIMES for 2050. It is possible that synthetic fuels would have a similar cost-optimal share of the market in UK TIMES and TIAM-UCL if a wider range of production technologies were available. Despite having electrolyser and CO2 capture options at various scales, synthetic fuel production from CCU is overlooked in these two models. There is a need to incorporate a wider range of synthetic fuel technologies in these models.

One of the main bottlenecks in producing synthetic fuels is biomass availability. TIAM-UCL and UK TIMES only consider synthetic fuel production from lignocellulosic biomass, whose supply is expected to be limited by food security and biomass sustainability concerns, and which is better used elsewhere in the energy system such as for BECCS in electricity generation or hydrogen production, as these have higher CO2 capture rates.

Biomass feedstocks for large-scale gasification plants must have high composition consistency throughout the year. Therefore, it is challenging to use waste as a feedstock, and MSW is implicitly assumed to be a non-viable feedstock by all three models. This is arguably not reflective of the current status quo of FT plant project developments, as a waste-to-fuel plant has been designed to produce 11 million gallons of jet fuel or diesel annually from processing 175,000 tonnes of MSW (49). However, this project does not include CCS, which is a key technology in our model. Further research is needed to understand the role of these types of facilities in climate mitigation and the competitiveness of waste as feedstock for synthetic fuel production.

4.2 Challenges and Opportunities for the Future of Energy Systems Modelling

As explained in Section 1, neat AJF must be blended with conventional jet fuel to meet international standards. This blending percentage stands at maximum of 50% for AJF, but is expected to increase as conversion technologies improve. UK TIMES and TIAM-UCL assume biokerosene has the same effective composition as oil-based kerosene, which does not reflect current limitations. On the other hand, JRC-EU-TIMES limits the proportion of biokerosene to 47% in 2020, increasing to 95% in 2050. However, this model assumes biodiesel and biokerosene are interchangeable, despite there being no precedent of a blend composed of biodiesel and kerosene that can be used as jet fuel. It is unlikely that this type of blend meets the current specification of standard jet fuel (50). The transportation fuel blending approach is based on the IFPEN OURSE model (51), where product specifications are sensibly accounted for by the means of quality control equations under a linear programming framework. However, JRC-EU-TIMES implements an extended production chain in comparison to that model, and transportation fuel quality is not represented as originally intended. There is a challenge to identify and implement feasible blending combinations that consider the chemical composition of blends to meet jet fuel standards.

Another important challenge is understanding the uncertainty of carbon capture, utilisation and storage (CCUS) in the role of achieving net zero by 2050. Synthetic fuels from CCUS are cost-optimal in a net zero scenario in the JRC-EU-TIMES model. However, using CCUS for fuels does not necessarily contribute towards climate mitigation (52). Captured CO2-based fuels move carbon through industrial systems over different timescales. Such fuels do not provide net CO2 removal from the atmosphere, but reduce emissions through industrial CO2 capture that displace fossil fuel use. The space and time of this pathway is not fully understood and must be analysed to determine its overall impact. On the other hand, CCUS is seen as a stepping stone towards successful implementation of CCS in terms of innovation and reduction of costs, and is a crucial technology to meet net zero targets. CCUS could have a transition role in the aviation sector until electrification or other low-carbon options come into place after 2050. Alternatively, the demand for aviation could reduce if there were a modal shift to transportation modes that are more easily electrified (for example, electric high-speed trains).

There is a general challenge to reduce the cost of synthetic fuels (31), in terms of both the capital cost of production plants and the cost of captured CO2 and hydrogen. At current cost projections, the UK TIMES and TIAM-UCL results suggest that at present, these options are much more expensive than fossil-based kerosene coupled with negative emission technologies to offset the CO2 emissions. Further technoeconomic assessment is needed to better understand the sensitivity of varying capital cost and cost of the input sources for better comprehension of risks involved in investing in these technologies.

The transparency and validation of assumptions made by the modellers, such as technology costs and performance, are imperative in energy system models (53). Yet we found that model input data sources are poorly documented for key technologies across the models. Detailed documentations for UK TIMES, JRC-EU-TIMES and TIAM-UCL are publicly available but the bulk of the assumptions – especially for technologies that were modelled in the early stages of the models – are not available. In some cases, reasoning might have been lost when a new model was developed from an existing model (for instance from UK MARKAL to UK TIMES). Lack of documentation is concerning because the cost and efficiency of the equivalent technologies across the models vary significantly, and these technologies appear to have a role in net zero scenarios as discussed in Section 4.

5. Conclusions

Aviation is carbon-intensive and must reduce its emissions to meet current climate goals. Decarbonisation of the sector is challenging, but there are opportunities through switching to low-carbon synthetic jet fuels. Energy system models are valuable for understanding the role of synthetic fuels in climate mitigation. Our evaluation of three models in this paper has identified gaps in technology and input feedstock options for synthetic fuel production. We have identified a variety of potential model improvements to better represent synthetic fuels in the future. This would ideally be coupled with a better understanding of the fuel quality from each production process, and the implications for jet fuel blending.

Model scenario outputs show synthetic jet fuels could make an important contribution to net zero systems. This will mainly rely on improving cost competitiveness compared with conventional jet fuel coupled with negative emissions. Importantly, the scenarios show that there is a close relationship between negative emissions, CCS and synthetic fuels. This means that the share of synthetic fuels in net zero scenarios will also depend on the assumptions made on CCS and negative emissions. Given the stringent climate targets and the long lifetimes of synthetic fuel production plants, further research on synthetic fuels is needed in the context of energy system modelling to fully determine its capabilities in emissions reduction.

Acknowledgements

Seokyoung Kim was supported by an Engineering and Physical Sciences Research Council (EPSRC) Industrial Cooperative Awards in Science & Technology (CASE) studentship (grant EP/R513143/1) and by Johnson Matthey, UK. Paul Dodds and Isabela Butnar were supported by the Natural Environment Research Council (NERC) “Comparative assessment and region-specific optimisation of GGR” project (grant NE/P019900/1).

The Authors


Seokyoung Kim is a PhD student based in the Institute for Sustainable Resources at UCL. His research is focused on examining the implications of the net zero target for the competitiveness of synthetic jet fuel and synthetic high-value chemicals, through energy system modelling. Seokyoung has a background in chemical engineering and holds a MSc and a BEng from Imperial College London, UK, and UCL, respectively.


Paul E. Dodds is a Professor in Energy Systems at UCL. Paul leads UCL’s work on UK and European energy system modelling, and coordinates the development of the UK TIMES model in conjunction with the UK Government. He is a member of the UK Energy Research Centre and the UK CCS Research Centre. His research cuts across engineering, environment, economic and policy issues.


Isabela Butnar is a Senior Research Associate in Bioenergy Systems in the Institute for Sustainable Resources at UCL. Isabela is a chemical engineer with a wide experience of modelling environmental impacts and specialises in life cycle assessment (LCA) and energy systems modelling. Her current research focuses on modelling global bioenergy and carbon dioxide removal (CDR) options in TIAM-UCL and running scenario analyses to investigate the role of these options in shaping the global and national transitions to low carbon energy systems.

By |2021-03-22T15:44:07+00:00March 22nd, 2021|Weld Engineering Services|Comments Off on Energy System Modelling Challenges for Synthetic Fuels
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