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

Four new industry partnerships aim to develop transformational technologies

From improving the sound quality of digital musical instruments to advances in materials engineering that will offer clean, adaptable and affordable energy solutions, the Royal Academy of Engineering has announced four new joint industry–academia research partnerships that will tackle some complex engineering challenges.

 

The magnetic resonator piano is an augmented acoustic grand piano which uses electromagnets to induce vibrations in the strings of a grand piano, producing a rich new sound world including infinite sustain, crescendos from silence, pitch bends, harmonics and new timbres. Image courtesy of Dr Andrew McPherson

 

Focusing on industry-relevant research across the full range of engineering disciplines, the Academy’s Research Chairs and Senior Research Fellowships enhance the links between academia and businesses with each of the prestigious five-year positions co-sponsored by an industrial partner. Each awardee will establish a world-leading research group in their field of engineering.

Commenting on the appointment of the three new Research Chairs and two Senior Research Fellows, Professor Karen Holford FREng CBE FLSW, Deputy Vice-Chancellor at Cardiff University and Chair of the Academy’s Research Committee, says: “Every year I find myself amazed and encouraged by the ingenuity and engineering excellence shown by our awardees and the sheer range of challenges that they are helping to address to improve so many aspects of our daily lives. Fostering collaboration between expert engineering researchers and industry is something to which the Academy has always been committed and the internationally renowned centres of research excellence developed over the past 20 years of this scheme are testimony to its importance for UK engineering research and innovation.”

The Senior Research Fellowships and Research Chairs appointed are as follows:

Senior Research Fellows

Dr Andrew McPherson, Queen Mary University of London
Bela / Royal Academy of Engineering Senior Research Fellow in Embedded Music Computing

This fellowship aims to develop a new generation of digital musical instruments whose richness and subtlety match the best acoustic instruments, making them suitable for expert and novice performers alike. Despite steady advances in computational modelling of acoustic instrument sounds, digital instruments still lag far behind their traditional counterparts in the nuance of interaction.

In collaboration with a consortium of three industrial partners—Augmented Instruments Ltd, the BeagleBoard Foundation and Texas Instruments—Dr McPherson will develop high-performance computing tools for working with sensors and audio that can be integrated into new instruments. This cross-disciplinary project incorporates electronic engineering, human–computer interaction and arts practice and aims to make computing accessible to creators without a specialist technical background.

Dr McPherson says: “We’ve only begun to scratch the surface of the kinds of musical instruments that are possible with the latest embedded hardware systems. I’m excited about making rich new creative tools which not only support new kinds of music-making but can also teach us more about human cognition and human–computer interaction.”

Research Chairs

Professor Joseph Robson, University of Manchester
DSTL / Royal Academy of Engineering Research Chair in Alloys for Extreme Environments

Professor Robson’s research is on resilient alloys for defence applications in extreme environments. These high-performance metal alloys must withstand impacts from projectiles travelling at over 2km/s and function in both hot and cold temperatures and in highly corrosive environments, maintaining their effectiveness over lifetimes that can exceed 50 years. The traditional method of developing alloys for defence involves trial and error experiments, coupled with full-scale tests, that can take decades to perform and incur multi-million-pound costs. A different approach is needed, based on metallurgical understanding, digital simulation and rapid low-cost testing.

This award will support the development of advanced computer modelling techniques and rapid testing methods to design new materials that will also be of value beyond the defence sector for products such as lightweight energy-efficient cars and aircraft.

Professor Robson says: “DSTL have world-leading capability in modelling of materials performance in defence applications. The opportunity to work together to integrate alloy and component design will enable a new holistic approach that offers better performance, lower development times, and reduced cost. This integrated design approach will have impact beyond defence in sectors such as energy efficient transport.”

 

Professor Tom Scott, University of Bristol
UKAEA / Royal Academy of Engineering Research Chair in Advancing the Fusion Energy Fuel Cycle

Professor Scott’s research focuses on tritium – the gaseous radioactive fuel component for fusion energy. This project aims to advance, develop and deploy technologies for breeding, handling, separation and safe storage of tritium. Working in partnership with the UK Atomic Energy Authority (UKAEA), Professor Scott aims to establish the UK as an international leader in tritium fuel cycle technologies.

This award coincides with the initial phases of UKAEA’s Spherical Tokamak for Energy Production (STEP) programme; an internationally significant endeavour to design and build the world’s first fusion power station by 2040. The development of a well-established fuel cycle is a critical step towards this goal.

Professor Scott says: “Being involved with the STEP, via this award, is a hugely exciting prospect for myself, for the University of Bristol and also the Royal Academy of Engineering. The realisation of fusion energy will be truly transformational for the world.”

 

Professor Stephen Skinner, Imperial College London
Ceres Power Ltd / Royal Academy of Engineering Research Chair in Electrochemical Devices for a Zero Carbon Economy

Professor Skinner is committed to developing solid oxide cells that convert fuel to electricity and in reverse operation can produce clean hydrogen. These devices are some of the most efficient energy conversion processes and will be a vital part of a net zero future. The development of low-carbon and zero carbon energy technologies is of vital importance and underpins our drive towards a sustainable world. New advances in materials engineering can offer clean, affordable solutions to serve both developed and developing economies. Solid oxide cells will provide solutions that can be adapted to portable power, stationary applications and transport. They will also provide routes to produce the lowest cost green hydrogen as part of an integrated energy infrastructure. This collaboration aims to build an enduring partnership that will accelerate the deployment of new discoveries in the energy technology space.

Professor Skinner says: “Lowering carbon emissions to net zero by 2050 is an ambitious target to reduce our environmental impact – developing this technology will make a direct contribution to achieving this ambition, through use of solid oxide cells in a wide range of energy applications, from domestic heating and transport to data centres, and hydrogen production, enabled by the flexibility of the device output.”

 

Notes for Editors

1. Research Chairs and Senior Research Fellowships aim to strengthen the links between industry and academia by supporting exceptional academics in UK universities to undertake use-inspired research that meets the needs of the industrial partners. Awardees are expected to:

  • Establish or enhance a world leading engineering research group
  • Deliver ‘use-inspired’ research that meets the needs of their industrial partners
  • Disseminate the outcomes of their research for appropriate academic impact
  • Become a self-sustaining research group by the end of the award (by securing substantial external grant income: RCUK, EU, industry, charities, etc.)

2. The Royal Academy of Engineering is harnessing the power of engineering to build a sustainable society and an inclusive economy that works for everyone. In collaboration with our Fellows and partners, we’re growing talent and developing skills for the future, driving innovation and building global partnerships, and influencing policy and engaging the public. Together we’re working to tackle the greatest challenges of our age.

 

Media enquiries to: Pippa Cox at the Royal Academy of Engineering Tel. +44 207 766 0745; email: Pippa.Cox@raeng.org.uk

By |2021-03-24T00:01:00+00:00March 24th, 2021|Engineering News|Comments Off on Four new industry partnerships aim to develop transformational technologies

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

Government Industrial Decarbonisation Strategy published

The UK government’s Industrial Decarbonisation Strategy has today been presented to Parliament by the Secretary of State for Business, Energy and Industrial Strategy.

Responding to the strategy, Professor Nilay Shah OBE FREng, a Fellow of the Royal Academy of Engineering and Vice-Chair of the National Engineering Policy Centre Net Zero working group, says:

“It is essential that all sectors of industry are fully involved in the drive towards decarbonisation and today’s roadmap provides helpful targets and aspirations across the whole energy system. Low-regrets measures such as reducing energy demand and improving efficiency in transport and supply chains will help to reduce future costs and also have positive social and economic benefits. However, we must not underestimate the sheer enormity of the engineering challenge facing us, not least in upskilling the workforce. This includes long-term jobs in major infrastructure projects for power generation, carbon capture usage and storage and hydrogen as well as ensuring that the education young people are receiving today will properly equip them to contribute to decarbonisation in the future.

“Demonstrating the effectiveness of carbon capture usage and storage (CCUS) and hydrogen is also a vital step to reducing emissions but will require massive technological adjustment and integration across energy storage and essential subsystems. Before widespread roll-out of hydrogen, full-scale demonstrators of the essential system components should be built, to allow for proper operational evaluation.”

Full details of the strategy are available at https://www.gov.uk/government/publications/industrial-decarbonisation-strategy

Notes for Editors

  1. The National Engineering Policy Centre

We are a unified voice for 43 professional engineering organisations, representing 450,000 engineers, a partnership led by the Royal Academy of Engineering.

We give policymakers a single route to advice from across the engineering profession.

We inform and respond to policy issues of national importance, for the benefit of society.

In January 2020, the National Engineering Policy Centre began a programme of work to explore, inform, and advise policymakers on some of the hardest cross-cutting challenges and the opportunities that need to be addressed in achieving Net Zero carbon emissions by 2050. For more information see https://www.raeng.org.uk/policy/policy-projects-and-issues/net-zero-a-systems-perspective-on-the-climate-chal

  1. The Royal Academy of Engineering is harnessing the power of engineering to build a sustainable society and an inclusive economy that works for everyone.

In collaboration with our Fellows and partners, we’re growing talent and developing skills for the future, driving innovation and building global partnerships, and influencing policy and engaging the public.

Together we’re working to tackle the greatest challenges of our age.

For more information please contact:

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T: +44 207 766 0636;

E:  Jane Sutton

By |2021-03-17T15:39:10+00:00March 17th, 2021|Engineering News|Comments Off on Government Industrial Decarbonisation Strategy published

A Comparison of Different Approaches to the Conversion of Carbon Dioxide into Useful Products: Part II

1.1 Photochemistry and Photoelectrochemistry

In addition to the CO2 conversion technologies described in Part I (1), there are several other approaches that are being investigated, although in general these are currently at a lower technology readiness level (TRL). With the sun being a desirable source of renewable power, the direct use of solar energy to produce chemicals from CO2 akin to artificial photosynthesis is instinctively appealing. This is exploited in photochemistry using a photocatalytic (PC) reactor, which uses photons from the visible and ultraviolet spectrum to generate electrons from irradiating photosensitive semiconductors and transfers the electrons from a valence band to a conducting band in connection with a photocatalyst to promote the reduction of CO2. Thus, an immediate advantage stems from not converting the solar energy to electricity first to supply the electrons, which brings in the associated upstream inefficiencies, as in the power-to-X type of conversion routes or electrochemical reduction. Commonly observed products from the photochemical reduction of CO2 include CO, methanol, formic acid and methane (Figure 1). However, the process is complex to understand involving many mechanisms, especially for multiple proton and electron transfers for products such as methanol and methane with ‘CO2 activation’ being a rate-determining step for many products. Much research effort is being concentrated on developing photocatalysts from earth-abundant, low-cost and less-toxic catalysts such as those based on iron, nickel, manganese and copper that are more scalable than those metals on the second and third row of the Periodic Table, such as rhenium, ruthenium and iridium (3). There has also been recent work looking at using metal-free photocatalysts such as graphene, nitrides and carbides (4). Using solar energy for CO2 conversion does impart a degree of inflexibility regarding the energy source compared with for example an electrochemical route, with the energy conversion efficiency being key for cost and scalability. Although much promising research is being conducted in this area, the CO2 conversion rates often observed in such systems under development appear impractically low for industrial implementation with some of the technical research challenges resting with developing photocatalysts that promote a high CO2 reduction efficiency and product selectivity (5, 6).

Fig. 1

Photochemical reduction of CO2. Reprinted from (2) Copyright 2019, with permission from Elsevier

Photochemical reduction of CO2. Reprinted from (2) Copyright 2019, with permission from Elsevier

The attributes of photochemistry and electrochemistry can be combined in the approach known as photoelectrochemistry, conducted in a photoelectrochemical (PEC) cell, and has been investigated for CO2 reduction to fuels and chemicals. A major benefit over a pure electrochemical approach is that a significant part of the energy necessary for the conversion is supplied by light, omitting or at least lowering the transmission and rectification losses associated with using solely an electrical supply (7). Fundamentally, PEC cells comprise an anode and cathode immersed in an electrolyte, with at least one of the electrodes being a photosensitive semiconductor that absorbs light and through photoexcitation provides some of the required electron flow (the current). The technology still faces challenges from complex reaction pathways, mass transfer conditions and large photovoltage requirements to generate sufficient product selectivities and solar-to-chemical efficiencies (8).

1.2 Plasma Technologies

A process that would utilise renewable electricity for CO2 conversion is non-thermal plasma (NTP) technology using a configured plasma reactor. Similar to a low-temperature electrochemical reactor, a plasma reactor has the ability to be switched on or off in response to the intermittency characteristic of the energy supply and requirements for grid-balancing. It also exhibits high reaction rates, attains steady-state quickly and can produce a range of hydrocarbon and oxygenated species, operating at near atmospheric temperature and pressure. The ability to enable thermodynamically uphill reactions to occur at ambient conditions arises from the generation of a low temperature ionised gas with electrons energised by applying an electric field to typically between 1 eV and 10 eV. This range is ideal for exciting molecular and atomic species and breaking chemical bonds, with the OC=O in CO2 requiring 5.5 eV (9). Different types of plasma are being investigated for CO2 conversion, involving various reactor configurations and how the electricity is supplied and its power rating, with the main three being dielectric barrier discharge (DBD), microwave (MW) plasmas and gliding arc (GA) plasmas, generating different performance for CO2 conversion (10). The DBD configuration is probably the most widely investigated in this area. Some advantages and disadvantages of the main plasma technologies for CO2 reduction are presented in Figure 2.

Fig. 2

Plasma technology configurations and their advantages and disadvantages for CO2 conversion. Reproduced from (11) with permission from The Royal Society of Chemistry

Plasma technology configurations and their advantages and disadvantages for CO2 conversion. Reproduced from (11) with permission from The Royal Society of Chemistry

One of the main CO2 conversion reactions studied is CO2 splitting and dissociation to CO and molecular oxygen, with CO being potentially used as a product itself or as a feedstock for fuels and chemicals. Other reactions involve a hydrogen source co-reactant such as methane (dry reforming of methane mainly to syngas but also forming hydrocarbons and oxygenates), hydrogen or water (hydrogenation to added-value fuels and chemicals). Akin to many processes the energy efficiency, reactant conversion and product selectivity are important parameters to evaluate from experiment and target achieving sufficient values (for example energy efficiency of >60% (10)) to merit further scale-up towards industrial commercialisation, with the specific energy input (SEI) being considered an important factor for influencing such performance for plasma technologies. NTP naturally involves radical-based chemistries, so improving selectivity of the desired product and lessening the burden on downstream separation costs is undoubtedly a challenge. The reported product yields and energy efficiencies for producing added-value hydrocarbons and oxygenates are generally lower than for CO and syngas type products, with the presence of molecular oxygen (from CO2 dissociation) leading to the undesired oxidation of formed hydrocarbons (12). The use of heterogeneous catalysts such as metal oxides or zeolites to improve performance including selectivity is one such option, notably used in a packed-bed DBD configuration (13, 14). Any observation of high energy efficiencies appears to come at the expense of low conversions with augmenting both representing a long-term challenge involving further understanding of the complex plasma chemistry (11, 15). As with many novel CO2 conversion reactors, the scale-up of plasma technology would lend itself to being modular, addressing the needs of small-scale, distributed production. When considering scale-up there will however be the need for hazard management regarding the in situ generation of molecular oxygen from the CO2 together with flammable products from the CO2 conversion, with potential ignition sources from the plasma generation equipment requiring the necessary safeguarding.

In general, the technologies described in this section are at lower TRLs than those mentioned in Part I of this review (1), especially when compared with the thermochemical routes. They each share some of the overall performance challenges of improving the energy efficiency and product selectivity to make them viable as contenders for future industrial scale-up. The use of realistic CO2 feeds should be evaluated at the laboratory scale to ascertain the performance impact of inert or reactive gaseous components and seek to define tolerable catalyst poison levels, depending on the CO2 source. Supporting studies such as technoeconomic assessment (TEA) and life cycle assessment (LCA) at the early stage are also recommended for these technologies to assist in understanding their viability for further development in the CO2 utilisation space.

1.3 Microbial Electrosynthesis

Microbial electrosynthesis (MES) is a combined biological and electrocatalytic process, where reducing energy cells in the form of electricity is provided to microbial for the synthesis of organic materials from CO2. In MES, bioreactors fitted with electrodes transfer electrons to host organisms via hydrogen, a reduced mediator, or by direct transfer (Figure 3). This is thought to be an efficient means of providing reducing energy compared to the classic fermentative routes (16).

Fig. 3

Schematic of MES. Using hydrogen produced at the cathode, a reduced mediator, or direct electron transfer to the microbe. Reprinted from (16) Copyright 2019, with permission from Elsevier

Schematic of MES. Using hydrogen produced at the cathode, a reduced mediator, or direct electron transfer to the microbe. Reprinted from (16) Copyright 2019, with permission from Elsevier

MES was first demonstrated in 2010 with the production of acetate from CO2 by a biofilm of the acetogenic Sporomusa ovata on a graphite cathode, which generated hydrogen (17). This was at a rate of 1.6 g acetate m–2 day–1 (relative to the cathode surface area). Since then, several examples using different wild type or engineered microbes converting CO2 to chemical products have been published. With improvement in electrode design, microbial engineering and strain selection, improved yields of acetate from CO2 have been achieved. Using a mixed culture biofilm and three-dimensional macroporous cathodes, acetate production at 685 g m–2 day–1 was demonstrated (18).

Apart from acetogens, the Knallgas bacterium Cupriavidus necator, which can use hydrogen or formate from the cathode as a source of reducing energy, has also been used in MES. Through genetic engineering and MES, C. necator has been used for the production of branched chain alcohols, alkanes and terpenes.

The use of MES for CO2 conversion is still far from industrial use due to limitations in productivities and expense. Electron uptake by microbes is low, needing a wider cathode surface area and to be made with more biocompatible and cheaper materials. Limitations of the biological pathways themselves (slow carboxylation kinetics, high acetate products when using acetogens) also lead to low titres. How successfully these bottlenecks are addressed will determine whether MES will be more widely adopted as a means of CO2 fixation in the future (16).

In this section, a comparison is made between the various technology options available for producing different molecules, which is summarised in Figure 4.

Fig. 4

Plot of molecules arranged by carbon chain length vs. carbon oxidation state overlaid with methods of manufacture from CO2. Carbon oxidation state relates to the number of electrons needed to convert from CO2

Plot of molecules arranged by carbon chain length vs. carbon oxidation state overlaid with methods of manufacture from CO2. Carbon oxidation state relates to the number of electrons needed to convert from CO2

2.1 Technology Options for C1 Molecules

For the majority of C1 molecules, well developed routes exist for their manufacture from syngas which can be adapted to use CO2 and renewable hydrogen to give a sustainable process. It is therefore hard for new processes to displace these existing technologies. Even in the case of a product such as formaldehyde, which is made commercially through highly efficient methanol oxidation processes (19), it is difficult to imagine a new process displacing the two well-established methods.

There are a couple of exceptions to this thinking. The first is the production of CO or syngas, which are very important intermediates in the production of a range of fuels and chemicals. The hydrogenation of CO2 to CO is not a well-established technology: it runs at high temperatures and suffers from equilibrium limitations, problems with carbon laydown and formation of unwanted hydrocarbons. Hence there is an opportunity to use new processes such as electrochemical CO2 reduction to drive these reactions.

Another molecule which could be of interest to develop new routes to is formic acid. Currently, formic acid is largely produced by hydrolysis of methyl formate, which is in turn made by carbonylation of methanol (20). Direct routes from CO2 have been developed based on ruthenium homogeneous catalysts and on a range of heterogeneous catalysts (21) as well as electrochemical methods (22, 23). One challenge here is in the low current demand for formic acid. Its current uses are mainly as a preservative for animal feeds and silage, as well as in the leather and textile industries (20). Proposed future uses include as a fuel, a hydrogen storage and transport medium and also as a feedstock for biological processes to make higher carbon chain length products. Given the toxic and corrosive nature of formic acid (20), it remains to be seen to what extent these applications are realised.

2.2 Technology Options for C2–C4 Molecules

The next classification of molecules to consider is those with a few carbon atoms. The key challenge here is typically selectivity to the chosen product. Unlike for C1 atoms, there are very few well-established catalytic processes for selectively converting C1 feeds such as syngas into C2–C4 products. The exception to this is dimethylether, which is produced in two steps from CO2 by dehydration of methanol using acidic catalysts such as zeolites or alumina (24). Dimethylether is unusual as a C2 molecule which does not contain a C–C bond. It is proposed as a fuel of the future due to having similar combustion properties to diesel, although as a gas at room temperature it would require handling in a different way to current fuels.

Ethylene is an important intermediate in the production of chemicals, notably polyethylene but also a wide range of other molecules, and so a route from CO2 to ethylene would be very useful to decarbonise ethylene production. There is no established direct heterogeneous or homogeneous catalytic conversion route from CO2 to ethylene. By far the most progress has been made with electrochemical conversion, where in contrast to other molecules such as methanol, ethylene has been made with 70% Faradaic efficiency (FE) over copper catalysts (25, 26) at practical current densities of 500–1100 mA cm–2. With further commercialisation, this could provide a viable pathway to a range of fuels and chemicals using ethylene as an intermediate. The main competing technology is a two-step method using the methanol-to-olefins process.

A range of other C2–C4 molecules have been prepared using electrochemistry, but only at laboratory scale and generally as part of a mixture of products. For example, Opus 12 reports having made eleven different compounds (27) in this range. Of other molecules formed electrochemically, ethanol is the best studied but is still only reported in modest selectivity. Ethanol is also reported as being produced by heterogeneous catalysis and biological approaches (see box).

Beyond C2, propanol has been reported as being made electrochemically from CO2 on a molybdenum sulfide electrode (28) but only at <5% FE. At C4, biological systems can be very efficient in producing a number of molecules, particularly oxygenates such as butanediols or butyrates. Some systems are able to produce C3 molecules such as propionates, but generally even number chains are preferred due to the C2 coupling mechanism employed.

2.3 Technology Options for C5+ Molecules

For larger molecules, direct synthesis from CO2 becomes increasingly challenging. Biological systems offer perhaps the best route to making C6 molecules, but only a small number of examples have been published. However, the biological approach seems to offer a more selective direct conversion than is possible by other routes such as catalysis or electrochemistry. Interestingly, a number of the examples of C6 and even C8 production have been given through MES (29, 30).

As the product’s carbon chain becomes longer, using coupled processes becomes more relevant (Figure 5). It is important to note that not all molecules need to be accessed in a single step from CO2, and in many cases it will be preferable to use two efficient steps rather than one less efficient one. Some examples of this are already well-known, for example reduction of CO2 to CO which can then be converted to fuel range hydrocarbons by the Fischer-Tropsch (FT) process.

Fig. 5.

Coupled processes to make longer chain molecules in multiple steps from CO2. Key intermediates are highlighted

Coupled processes to make longer chain molecules in multiple steps from CO2. Key intermediates are highlighted

Efficient processes to make larger molecules tend to be based on a biological coupling of C1 or C2 molecules which can be prepared in different ways. Catalytic coupling processes such as Guerbet coupling of ethanol (31) or FT coupling of syngas tend to give a range of products, which is acceptable for end uses in fuels and in some cases solvents, but not for the majority of applications. Two-step processes with a second biological step can be based on a wide range of feedstocks, including formic acid (32), methanol (33) or syngas (34). An advantage of this approach is that all these molecules can be made readily by catalytic or electrochemical reduction of CO2, enabling efficient processes. One possible concern is that the feedstock can be consumed by the microorganism and be converted back into CO2. Approaches which have the potential to overcome this include MES, where feeding (renewable) electrons into the reaction supplies the microbes with energy without feedstock being consumed.

There are many viable routes to convert CO2 using sustainable technologies, and many products are accessible, from C1 through to C10 and beyond. Different technological approaches suit different molecules (Figure 4) and have their own advantages and drawbacks. The use of two-step processes widens the range of molecules even further, and in some cases allows more energy-efficient syntheses to be developed. Key to making sustainable processes based on CO2 is the supply of renewable energy as light, electricity or another source. In the case of electricity, intermittency is an important issue when power from solar panels or wind turbines is used. Chemical processes in general do not like to be switched on and off or turned up and down, although low temperature electrochemical and biological processes are more tolerant to this than most. However, low utilisation rates will stop processes being viable from a capital cost perspective.

Comparing Methods for Conversion of Carbon Dioxide into Ethanol

Ethanol is one of the few molecules where viable catalytic, electrochemical and biological routes exist, and so it is possible to compare processes for their manufacture (Table I). The range of coproducts made varies significantly for the different approaches, due to the different mechanisms which are in operation. This is significant because it impacts the separations required. Removal of water will be a challenge in all cases, although the biological system is often especially dilute. Despite the differences in mechanism, CO plays an important role in three of the four processes. Ruthenium- or iron-based reverse water gas shift catalysts are deliberately added to the methanol coupling and electrochemical reactions, while the co-feeding of a modest amount of CO increases the rate of the biological process significantly. The direct catalytic conversion route was shown by Fourier transform infrared to proceed via formate-like intermediates, but CO was produced in small amounts by less optimised catalysts. The catalytic and biological reactions were reliant on dissolved CO2 (and hydrogen), which was increased in the catalytic systems by the use of pressure. The electrochemical flow reactor meanwhile made use of a humidified CO2 stream to increase the partial pressure at the cathode. Each approach has its merits in terms of performance and scalability, and there are features such as working with gas flows and easier separations which could be transferred from one approach to another.

Table I

A Comparison of Systems for the Conversion of Carbon Dioxide into Ethanol

Catalytic (35) Catalytic two-step (36) Biological (37) Electrochemical (38)
Reagents CO2:H2 = 1:3 CO2:H2 = 1:3 CO2:H2 = 1:2 CO2 and water
Pressure, MPa 4 8 Ambient Ambient
Temperature, °C 140 160 Ambient Ambient
Catalyst CoAlOx, 10 g l–1 [Ru(CO)3Cl2]2 with Co4(CO)12, 0.5 gRu l–1 Clostridium autoethanogenum, 0.2 g l–1 Copper metal with iron porphyrin
Reactor type Batch reactor Batch reactor Flow reactor Membrane electrode assembly (MEA)
Other reagents Water as solvent Methanol, lithium iodide promoter, 1-ethyl-2-pyrrolidone solvent A very dilute aqueous medium containing a range of nutrients (39) 0.1 M KHCO3 electrolyte
Ethanol selectivity, C-mol% 92 65 55 32
Other products made Methanol, propanol, small amounts of CO Methane, CO Acetate, biomass Ethylene, CO, hydrogen, propanol, formic acid and acetic acid

A wide range of molecules have been reported to be prepared from CO2, ranging from those derived from existing large scale processes such as methanol or methane production, through to more embryonic yet promising methods such as MES or coupled catalytic-biological or electrochemical-biological processes for the production of longer carbon chain molecules. While research is certainly needed in this area, we propose that it should be focussed in areas which will make the greatest impact, both in terms of economics and scalability and of climate change mitigation.

Research should be focussed on developing routes to molecules where routes do not currently exist, rather than competing with existing high TRL processes. This is especially true in the C1 space which is dominated by traditional syngas-based processes, although these often need to be optimised for CO2-based feedstocks, different contaminants and scales. Consideration should be given to the whole process, from CO2 purification to the downstream separations needed to give the desired products in good purity. It is worth being mindful of the specifications required for different products. Which impurities can be tolerated and which are not acceptable? Can reaction mixtures be simplified? LCA and TEA should also be used at an early stage to identify the most promising routes.

We also suggest that most of the C1 molecules can be made efficiently by adaptation of existing catalytic processes, with the exception of CO and formic acid where electrochemical routes also offer promise. Electrochemistry appears well suited to making molecules in the C2–C4 range, especially C2 at present. Biological processes offer direct routes to molecules in the C2–C8 range, and compete with two step electrochemical-biological and catalytic-biological processes for efficiency. For fuel synthesis, coupling processes such as FT or methanol to gasoline are well-established, although biological routes are interesting too.

By |2021-03-11T13:23:10+00:00March 11th, 2021|Weld Engineering Services|Comments Off on A Comparison of Different Approaches to the Conversion of Carbon Dioxide into Useful Products: Part II

A Comparison of Different Approaches to the Conversion of Carbon Dioxide into Useful Products: Part I

Johnson Matthey Technol. Rev., 2021, 65, (2), 180

1. Introduction

Anthropogenic CO2 emissions from fossil fuels use and industry amounted to around 33 billion tonnes in 2019 (1, 2), mainly arising from the power generation sector. The use of carbon capture and storage (CCS) is considered a key contributor in the portfolio of options for achieving the CO2 emission reduction targets agreed by the international community in 2015 during the 21st Conference of Parties on Climate Change (COP21). With the premise of keeping the Earth’s temperature rise below 2°C (and more ideally below 1.5°C) above the pre-industrial average (the ‘two degree scenario’), this will require that at least 94 billion tonnes of CO2 are captured and stored until 2050 (3, 4). The extent of deployment will naturally depend on the economics together with government support and political will, but nevertheless a consequence is that CO2 capture implementation will make large quantities of ‘pure’ CO2 available within the next 10 years. Although the focus on CO2 is being its contribution to climate change, value can be obtained from its use as a feedstock for a range of products and services. It can either be used directly (unconverted) such as for enhanced oil recovery (EOR) and for the food and beverage industry or indirectly through being converted to fuels, chemicals and building materials (Figure 1). At present, the annual consumption of CO2 is approximately 230 million tonnes, with fertiliser production, namely urea, being the largest consumer (~130 million tonnes CO2), followed by its use for EOR (~70–80 million tonnes CO2) (5). With the growing interest for further development and investment in some of the newer (less technically mature) conversion routes then in the future these indirect CO2 users could start contributing more towards the CO2 consumption figures.

Fig. 1

Simple classification of CO2 use pathways. Source: IEA (2019) (5). All rights reserved

Simple classification of CO2 use pathways. Source: IEA (2019) (5). All rights reserved

The use of CO2 as a raw material is viewed in the literature as becoming much more widespread than it is currently, possibly generating a ‘CO2 economy’ (6). Carbon dioxide capture and utilisation (CCU) has even been proposed as an alternative to CCS as a climate change mitigation strategy, notably where CCS opportunities are limited, but the present scale of applications is too small to have a large impact in emission reductions, as pointed out by others (7). In the context of potential mitigation options this view is also relevant if considering a widespread electrochemical-based solution to CO2 emissions (viz. CO2 electroreduction) due to the seemingly inconceivable electricity demands and scale of marketplace that would be required for it to be considered a prime choice for addressing the climate change targets (8). However, directionally some benefit in emissions is obtained from using the waste CO2 for the synthesis of fuels, powered by renewable electricity such as solar, wind, hydroelectric and geothermal (9). This approach comes under the umbrella of power-to-X schemes and has been reviewed in the literature (1012). Many of the processes rely on water electrolysis to produce hydrogen, itself a gaseous fuel, followed by thermocatalytic reduction of captured CO2 to produce synthesis gas (syngas), formic acid, methanol, methane (synthetic natural gas (SNG)) or higher hydrocarbons. Power-to-X schemes could produce carbon-based fuels as storage vectors at times when electricity production outweighs demand, which is a significant problem of the intermittent wind or solar power generation. One challenge in these schemes is the inevitable loss of efficiency when multiple processes are coupled together. From an electricity perspective it is more efficient to use electricity directly than to make chemicals; however, market demand for sustainable fuels and chemicals means that these concerns can be overcome, especially when electricity prices are low. It should be noted that compared with some of the more niche CO2 uses, the market sector for fuels is vast and while this makes the opportunity for deriving them from CO2 appealing it also brings about its own challenges. The potential scale of deployment is very large, with a choice of distributed or centralised production, which also needs to be supported by electrolyser manufacturing scale-up if water electrolysis is required. The processes are often energy intensive leading to high production costs to compete with their fossil fuel based equivalents. Regulatory requirements and technical specifications for some of the products (including whether product blends are acceptable rather than pure products), would also need to be met. Nevertheless, with process improvements gained from further development and project investment from governments with industrial support, it’s seen as an important area to target for CO2 utilisation.

In addition to electrochemical and thermocatalytic routes other options include biological-based conversions that use CO2 as the carbon source, and a co-reagent such as hydrogen for energy supply, with some technologies already reaching commercial status. Examples are LanzaTech’s gas fermentation technology platform for producing fuels and chemicals such as ethanol and 2,3-butanediol (13) and Electrochaea’s methanation process (14). Both the direct use of CO2, or CO2 conversion, should not be viewed as a mitigation strategy per se for reasons already mentioned, but instead as an enabler for increasing the value of a CO2-capture project and helping the ‘business case’. By displacing the use of fossil fuels and promoting a more sustainable circular economy, CO2 reuse can also help improve a country’s energy security. Furthermore, there is also the positive social-economic impact through creation of jobs around the construction and operation of such a facility.

From the outset, the conversion of CO2 into fuels and chemicals by chemical reduction presents a thermodynamically uphill challenge, as is suggested firstly by its large C=O double‐bond energy (750 kJ mol–1) and the higher, i.e. less negative, Gibbs free energies for some of the main carbon-based reduction products listed in Table I. The conversion chemistry is driven by the free energy differences between the reactants and products indicating their relative stabilities (16). With CO2 being the most highly oxidised product in many carbon-based processes, including chemical and biological pathways, it exhibits the lowest energy state of all carbon-containing binary neutral species. The large energy required to reduce it is a significant obstacle and would be reflected in the energy consumption costs of any economic evaluation. This energy can either be supplied as physical energy, for example thermal or electrical, or indirectly via the use of reactive chemical species as reagents, such as hydrogen that exhibit a higher Gibbs free energy to promote the conversion of CO2 from a thermodynamics perspective.

Table I

Properties of Target Products That can be Made from Carbon Dioxide (15)

Carbon-containing target product Chemical formula Oxidation state of carbon Gibbs free energy of formation (ΔGθf), kJ mol−1
Carbon dioxide (reactant) CO2 (g) +4 −394.4
Carbon monoxide CO (g) +2 −137.2
Formic acid HCOOH (l) +2 −361.4
Methanol CH3OH (l) −2 −166.6
Methane CH4 (g) −4 −50.5
Ethanol C2H5OH (l) −2 −174.8
Ethylene C2H4 (g) −2 +68.4
n-Propanol C3H7OH (l) −2 −166.7

One result of the energetic challenges inherent in the CO2 conversion chemistry is there being an exciting opportunity for catalyst development in this area, to generate the reaction rates and product selectivities required for an economic process (17).

A question that often arises is which fuels or chemicals should industry target for scale-up and production and which conversion technology should be used, with a realisation that some technologies are still in early-stage development such as direct low temperature CO2 electroreduction exhibiting performance challenges with respect to product selectivity and energy conversion efficiency. The answer to this will often be dictated by the process economics and market demand for the product and a technoeconomic assessment (TEA) comparing technologies and target products will be an important decision-making exercise. The economics depend on not only the capital cost of the technology equipment items (including reactant purification, product separation duties and ancillary equipment) but also on the availability, intermittency and costs of energy such as renewable electricity and heat, which vary depending on location and can greatly influence the operating costs. Furthermore, this might be supplemented by any government incentives that might exist, for example the latest Renewable Energy Directive (RED II) for transport fuels in the European Union (EU) (18), which itself could be revised as a result of the European Green Deal initiative (19). As a result, a credible business case for justifying deployment of a particular technology to produce a target fuel or chemical product would be dependent on the policies within the host country (or shared policies between countries as in the EU) and also site-specific providing accessibility to the CO2 feedstock and a suitable energy supply. Such a lined-up scenario is highlighted by the commercial renewable methanol facility that is owned and operated by Carbon Recycling International (CRI). The George Olah plant is located in Iceland’s Svartsengi geothermal field near Grindavík on the Reykjanes peninsula and exploits captured CO2 from the nearby Svartsengi geothermal power station and renewable electricity from the Icelandic grid to produce electrolytic hydrogen for use in methanol synthesis via the direct hydrogenation of CO2. The methanol is used in gasoline blends with the George Olah plant effectively recycling 5500 tonnes of CO2 a year. The renewable methanol product from this facility is sold under the brand name of VulcanolTM and is displacing a small amount of fossil fuels in the transport sector (20, 21).

Greenhouse gas (GHG) emission reduction often plays an integral part in the justification of a CO2 utilisation plant and a full and robust life cycle assessment (LCA) is required to confirm CO2 mitigation benefits compared to the conventional (often fossil fuel) route, taking into account the whole value chain from CO2 origin to the final use of the product: a ‘cradle-to-grave’ analysis. Any climate change benefits will depend on the source of the CO2 feedstock (fossil fuel, biomass or directly from air), the carbon footprint of the conventional product or process route that is being displaced, the nature of the energy used for the conversion, the scale of the CO2-utilising process and the lifetime of the CO2 in the final product. The analysis would reflect that the CO2 avoided is not the same as CO2 used.

In terms of the origin of the CO2 feedstock then in the first instance it would invariably be from point sources, for example power stations or industrial cement or steel works, with CO2 clean-up and concentration being required for the majority of utilisation processes. However, there has been much interest lately in direct air capture (DAC) of CO2 with differing capture technologies being developed and showcased (22, 23). Although from a fundamental analysis (24) the separation energy would conceivably be significantly higher than that from an industrial point-source (0.04 vol% CO2 in atmospheric air vs. for example a power station flue‐gas containing 8–15% CO2 depending on the fossil fuel) and hence also the separation cost, several companies are working on this and have already attained both demonstration and commercial operating levels. There have been projections made for the CO2 capture cost from DAC to come down to approximately US$100 tonne–1 within a decade (22, 23), which although encouraging is still high compared to cost targets for the demonstrated and in some cases commercialised liquid amine-based capture systems. However, as well as delivering a high-purity CO2 stream and reducing the costs and emissions associated with any transport of the CO2 feedstock, an obvious advantage of DAC is that it is not limited to locating the conversion or direct utilisation plant close to a CO2 point-source. This attribute lends itself towards smaller-scale distributed production rather than necessarily building a large centralised facility that takes advantage of the economies of scale. The use of DAC CO2 would close the carbon loop and likely provide improved carbon mitigation benefits from either carbon neutral or carbon negative emissions (depending on final product), to be quantified by an LCA. Furthermore, a DAC-based source of the CO2 feedstock could qualify for government incentives for fuels and chemicals in the future. Currently the EU’s RED II allows for DAC-derived CO2 for producing synthetic fuels (renewable fuels of non-biological origin (RFNBO)), but also accommodates the use of lower cost CO2 from point-sources such as power station flue-gas, so not exclusively incentivising the deployment of DAC (23). Like for many developing technologies within the CCU space, government support through grants and tax credits and robust CO2 accounting frameworks will ultimately be needed to help drive the technology through the metaphorical ‘valley of death’ and into commercialisation with an investable package.

This paper provides a perspective on some of the different CO2 conversion technologies and their applicability to target products that are being developed by both academia and industry. It covers a range of approaches, which are mainly catalytic in nature including homogeneous and heterogeneous (thermo)catalytic, electrocatalytic and biological methods, each of which are at different technology readiness levels (TRL) and exhibiting different strengths and research challenges.

2. Biological Routes from Carbon Dioxide to Products

In nature, the bulk of CO2 reduction is carried out by plants and autotrophic microorganisms, that are capable of converting CO2 and an external energy source into biomass and side products. Central to autotrophic metabolism are carboxylase enzymes, that incorporate CO2 (or in some cases, HCO3) to specific organic molecules. Autotrophs also possess energy harvesting systems, that take reducing potential from light or inorganic electron donors for CO2 reduction.

Recent advances in genetic engineering have led to the use of these biological tools (autotrophic microorganisms, a variety of carboxylases, autotrophic energy-harvesting systems) and others as modular units to create synthetic biological routes from CO2 to virtually any product of interest. This review discusses three such synthetic biology approaches for CO2 reduction.

The first approach is to use autotrophic microorganisms with genetic engineering and process optimisation to maximise yield and purity of their natural products (C1 to C4) or to add heterologous enzymatic pathways that lead to new products (Table II). A commercial example is LanzaTech’s acetogenic strain Clostridium autoethanogenum, that naturally converts CO, CO2 and hydrogen to ethanol, acetate, 2,3-butanediol and other products. Strain selection and evolution combined with the development of the gas fermentation process have led to improved ethanol production. LanzaTech’s first commercial plant was established in China in 2018 and is located at a steel mill, using industrial waste gas as feedstock. Biomass and other organic waste can also be gasified, giving Clostridia and other acetogenic bacteria versatility in feedstock. The enzymatic pathway acetogens use, Wood-Ljungdahl, is the most energy-efficient natural autotrophic pathway. Depending on the species, acetate is either the main product or precursor and hydrogen is used as the source of reducing energy (25). Other species of Clostridia have been used to produce butanol (26).

Table II

Autotrophic Microorganisms, their Energy Sources, Natural Products and Products That Have Been Made Possible by Genetic Engineering (25)

Class Specific examples Energy source Natural products Engineered products
Acetogens Clostridia Hydrogen C2 to C4: acetate, ethanol, 2,3-butanediol Butanol, butyrate, acetone
Cyanobacteria Synechocystis spp., Synechococcus spp. Light >C10, biomass Propionate isobutylaldehyde, L-lactic acid, 2,3-butanediol, 1-butanol, acetone
Microalgae Chlamydomonas Light >C10, biomass high in fatty acid for biodiesel, animal feeds
Knallgas Cupriavidus necator Hydrogen, formate >C10, polyhydroxybutyrate Branched alcohols, alkanes

Photoautotrophic microorganisms such as microalgae and cyanobacteria are another example, using light to split water to generate oxygen, as well as hydrogen and H+ gradient for energy. This is used for the Calvin cycle (also known as the Calvin-Benson-Bassham cycle or the reductive pentose pathway), an enzymatic pathway that requires a lot of energy to fix CO2. Microalgae, typically grown in large scale in ponds and can use wastewater, convert CO2 to biomass for animal feed and a range of lipids for biodiesel (27). Chemical production from CO2 has seen recent advances due to the expansion of available genetic tools for cyanobacteria. Combined with improved photobioreactor design, this has enabled production of 1-butanol at 4.8 g l–1 (302 mg day–1) from Synechocystis, the highest production rate of 1-butanol from CO2 (28). Phytonix Corporation is a producer of biobutanol and biooctanol using cyanobacteria (29).

The ‘Knallgas’ bacterium Cupriavidus necator also utilises the Calvin cycle, but takes reducing energy from hydrogen or formate. This bacterium naturally accumulates polyhydroxybutyrate, a bioplastic precursor. With genetic engineering, it has been exemplified to produce branched-chain alcohols and alkanes from CO2 (25). C. necator has been used in microbial electrosynthesis (MES, discussed later) where formate or hydrogen is produced from the cathode.

The second approach is to take model heterotrophic (not able to grow on CO2) microorganisms and introduce carboxylases or autotrophic pathways that enable CO2 utilisation. These organisms, with well-established use in industrial fermentations, are capable of high growth rates (specific growth rates of 0.5 h–1 to > 3 h–1) and high productivities when grown on sugars or other carbon sources. In addition, their well-characterised metabolism and a wide range of available genetic tools make them ideal hosts for genetic engineering. Genetic modifications and the introduction of the Calvin cycle including ribulose-1,5-bisphosphate carboxylase/oxygenase (RuBisCO) into bacterium Escherichia coli enabled the phospho-sugar synthesis from CO2 (30). In yeast Saccharomyces cerevisiae, the same approach led to 10% increased ethanol production from glucose and galactose, at the expense of side product glycerol (31). More recently, the introduction of Calvin cycle components and the modification of a native metabolic pathway of the methylotropic yeast Pichia pastoris has enabled growth on CO2 as a sole carbon source (specific growth rate of 0.018 h–1). This is a significant demonstration of conversion of an industrial heterotroph to a synthetic autotroph. Pichia is widely used for the production of commercial enzymes and pharmaceutical chemicals and can use methanol as a carbon source. This work facilitates the use of Pichia for CO2 conversion into commodity or specialty chemicals using methanol as an energy source (32).

The third approach is to integrate the first two: a simultaneous or sequential fermentation of autotroph (to reduce CO2 to a C1 or C2 product, such as formate, ethanol or acetate) and heterotroph (to utilise the first product as a substrate for >C2). This combines the beneficial characteristics of both types of organisms. An example is the two-stage process using the acetogen Moorella thermoacetica to convert CO2, CO and H2 to acetate, which was then used in a separate bioreactor by the oleaginous yeast Yarrowia lipolytica to make triglycerides (33).

As genetic engineering and bioreactor designs continue to improve, certain bottlenecks become apparent. Limited energy and CO2 uptake occurs due to inefficient microbial photosystems (in photosynthesis, only 1% of light energy is utilised for biomass and product conversion) and the low solubility of both CO2 and hydrogen in aqueous solutions. CO2 conversion is also rate-limited by the carboxylase enzymes in CO2-fixation pathways, which evolved in environments where fast kinetics was not a requirement. These bottlenecks are being addressed through further engineering and targeted evolution of biological energy-harvesting systems and individual carboxylases and through studies of natural CO2-concentrating mechanisms such as carboxysomes (subcellular compartments where RuBisCO is localised). Aided by advances in bioinformatics and high-throughput enzyme production, more efficient synthetic carboxylation pathways (featuring faster carboxylases and less energy-demanding steps) are also being designed, constructed and tested in either cell-free systems or microbial organisms.

3. Catalytic Conversion of Carbon Dioxide to Products

3.1 C1 Molecules

Some key transformations of CO2 into relevant C1 molecules are well known – reduction to carbon monoxide, methanol and methane. The reduction of CO2 to methane is the largest change of carbon’s oxidation state possible, from +4 to –4, requiring four molecules of hydrogen or eight electrons to achieve. This makes it a very energy intensive transformation, –165 kJ mol–1, but the consequence is that methane is an energetic fuel, with 800 kJ mol–1 released on combustion.

Much of the existing technology in methanation is focussed on the conversion of CO/CO2 mixtures to methane, conversion of syngas derived from coal or biomass to SNG or the removal of low levels of CO and CO2 from gas streams as a purification process. More recently, the focus has shifted towards storing and transporting renewable energy and creating more sustainable fuels through power-to-X type processes (34). The technology is typically based on heterogeneous nickel catalysts which are efficient at the conversion. Scheme I shows chemistries based on CO or CO2 hydrogenation.

Scheme I

Chemistries based on CO or CO2 hydrogenation

Chemistries based on CO or CO2 hydrogenation

Methanol synthesis (35), by way of contrast, is performed to make methanol directly. The feedstock is typically a mixture of CO2, CO and hydrogen and catalysts are mainly based on copper or copper/zinc oxide. The precise detail of the reaction mechanism is still contested in the literature, but the presence of both CO and CO2 is generally required (36).

Both methanation and methanol synthesis are mature technologies, but work is underway to tune them towards the different requirements of CO2 conversion driven by the requirements of climate change. From the process point of view, hydrogen should be supplied in a sustainable form. In principle, this could be blue hydrogen (from steam reforming with CCS) or green hydrogen (from water electrolysis). Practically, it seems unlikely to couple blue hydrogen to a CO2 hydrogenation process, since the amount of CO2 generated by the steam reforming reaction could easily dwarf the amount converted into methane or methanol. There are challenges today with the availability of electrolysis at the scale needed to supply hydrogen to industrial methanol plants, but significant efforts are being made to scale up electrolysers.

One important difference between working with CO and CO2 is that more water is produced from the CO2-based chemistries (Scheme I) as more oxygen needs to be removed to access reduced products. This leads to impacts on the process, for example changing the separation required, but also on the catalyst which will need a greater level of water tolerance. Catalysts and catalyst supports can be damaged hydrothermally by steam or water so some level of reformulation is likely to be required to counter this. Catalysts are developed specifically for CO2 hydrogenation applications (37). Much of this work is based on modification to the existing copper or copper/zinc-based catalysts, but other metals such as palladium (38) and indium (39) are promising alternatives.

Homogeneous systems have been developed for methanol synthesis directly from CO2 and hydrogen. These are usually catalysed by Ru(II) phosphine complexes (40), although iron complexes (41) have also been shown to be active. An amine additive is used in these systems to capture the CO2 and is eliminated in the final hydrogenation – an interesting feature where the carbon capture is built into the catalyst system.

One interesting consequence of an increasing conversion of CO2 to methanol could be the further growth of methanol as a key intermediate. A number of methanol conversion technologies are already in commercial practice or at advanced stages of development (Scheme II) and others could be developed. As these are already mature pathways they present methods of converting CO2 into a range of fuels and chemicals.

Scheme II

Methanol conversion technologies. Methanol is converted using different approaches into olefins (42), acetic acid (43), hydrogen (44), ethanol (45), gasoline (46), dimethyl ether (47) and formaldehyde (48)

Methanol conversion technologies. Methanol is converted using different approaches into olefins (42), acetic acid (43), hydrogen (44), ethanol (45), gasoline (46), dimethyl ether (47) and formaldehyde (48)

The reverse water-gas shift reaction (49) is receiving increased attention as a method for converting CO2 into syngas using renewable hydrogen. This is attractive as it allows existing, high-TRL processes to be run in two steps from CO2. However, unlike the forward water-gas shift reaction, the reverse water-gas shift reaction is not well commercialised at present. This is due to issues with equilibria, selectivity to methane, carbon laydown and the high temperatures needed to drive the reaction forward. A range of catalysts are being evaluated at laboratory scale for the reverse water-gas shift reaction. Many of these are based on copper (50), especially copper-ceria (51), but iron (52), nickel (53), platinum (54) and molybdenum carbide (55) catalysts are also under investigation. In light of the challenges to develop a commercialised process, other methods for activation of CO2 to CO such as electrochemistry or photochemistry are interesting.

3.2 Larger Molecules

The direct reduction of CO2 to ethanol has not been widely studied. Most catalysts proposed for this transformation are either based on modification of existing methanol synthesis catalysts such as copper-zinc-alumina, or on Fischer-Tropsch (FT) type mechanisms, and both give rise to challenges in selectivity: to methanol in the former case and to other carbon chain length products in the latter. One interesting approach is the use of cobalt aluminium oxides prepared from a precipitated hydrotalcite precursor which gave over 90% selectivity to ethanol (56), albeit at laboratory scale. The main byproducts were other short chain alcohols, such as methanol and propanol, along with smaller amounts of CO. A second study (57) used PdCu/TiO2 catalysts to hydrogenate CO2 to ethanol with similar selectivity, finding that the optimal catalyst composition was based on Pd2Cu nanoparticles.

Homogeneous catalysis approaches have been applied to use CO2, in particular for the synthesis of fine chemicals. The interest stems from the non-toxic nature of CO2 compared with other potential C1 reagents such as formaldehyde or CO. Strong reducing agents such as silanes or boranes are typically used to reduce CO2, although some reactions have been reported where CO2 and hydrogen are reacted together using a ruthenium hydride system to convert C–H and N–H bonds into C–CH3 and N–CH3 respectively (58). In other systems, CO2 is converted to carbonates (59) by reaction with simple alcohols such as methanol or with epoxides (60) to give cyclic carbonates with significant complexity. A different application of this technology is in the synthesis of polyurethanes. The German company Covestro have developed a process for utilising waste CO2 in polymers used in mattresses and other applications (61). The polyurethane synthesis process uses cobalt and zinc catalysts.

An alternative approach to making larger molecules is through a FT type mechanism. Of particular interest are iron catalysts, which possess reverse water gas shift (RWGS) activity and so are able to convert CO2 to CO. As the CO is further reacted, equilibrium does not constrain the conversion which can be reached. The catalyst structure is important in determining the products made. Iron oxide sites are responsible for reduction of CO2 into CO, which is then converted on iron carbide sites into a range of hydrocarbon products. The precise structure is a complex function of the catalyst precursor and the activation and reaction conditions (temperature, pressure, conversion level, gas feed mixture and other factors) as this determines the distribution of active sites. A typical iron FT catalyst promoted with zinc and potassium was tested at 220°C and 30 bar pressure with H2:CO2 = 1 and a space velocity of 6 l gcat–1 h–1 (62). The products were CO and light hydrocarbons with a significant proportion of alkenes at a CO2 conversion just below 10%. A cobalt catalyst run under similar conditions was more active but had a much higher selectivity to methane.

Modified catalysts can be tailored to produce alkenes. For example, a potassium-promoted iron oxide catalyst activated in H2/CO at 350°C then used in 3:1 H2:CO2 at 5 bar gave 35% selectivity to C2–C4 alkenes and 25% selectivity to C3–C9 alkenes (63) with the other major products being methane and CO. Modifying the catalyst by addition of a zeolite has been shown to make a gasoline-range product. This intriguing catalyst contains three separate types of active sites: iron oxide to reduce CO2, iron carbide to catalyse the FT reaction and the acid sites of the zeolite which form aromatic molecules from the primary products of the FT reaction (Figure 2).

Fig. 2

(a) Reaction scheme for CO2 hydrogenation to gasoline-range hydrocarbons. The CO2 hydrogenation reaction over Na–Fe3O4/zeolite multifunctional catalyst takes place in three steps: an initially reduced to CO intermediate via RWGS; a subsequent hydrogenation of CO to a-olefins intermediate via FT synthesis; and the formation of gasoline-range hydrocarbons via the acid-catalysed oligomerisation, isomerisation and aromatisation reactions. (b) Product distribution for Na-Fe3O4 catalyst; (c) product distribution for Na-Fe3O4/ZSM-5 catalyst. Reproduced from (64) Creative Commons Attribution 4.0 (CC-BY 4.0)

(a) Reaction scheme for CO2 hydrogenation to gasoline-range hydrocarbons. The CO2 hydrogenation reaction over Na–Fe3O4/zeolite multifunctional catalyst takes place in three steps: an initially reduced to CO intermediate via RWGS; a subsequent hydrogenation of CO to a-olefins intermediate via FT synthesis; and the formation of gasoline-range hydrocarbons via the acid-catalysed oligomerisation, isomerisation and aromatisation reactions. (b) Product distribution for Na-Fe3O4 catalyst; (c) product distribution for Na-Fe3O4/ZSM-5 catalyst. Reproduced from (64) Creative Commons Attribution 4.0 (CC-BY 4.0)

The process gave 78% selectivity to gasoline-range hydrocarbons (64), although much of this is aromatics which may not be appropriate in all fuel applications. The concept can be taken further to make aromatics from CO2. A similar catalyst was used (65) to make around 30% of aromatics at 30–40% CO2 conversion. A mixture of aromatics was produced, with the main components being C9 and C10 products.

Catalysis offers viable routes into many molecules, characterised by adapting well-known syngas-based processes for C1 molecules such as methane and methanol, making use of methanol conversions to access other molecules and building on processes such as FT to make fuels.

4. Electrocatalytic Conversion of Carbon Dioxide to Products

Synthetic fuels from renewable energy sources (known as ‘e-fuels’) have become increasingly attractive to achieve GHG emission targets as discussed in the introduction. Increasingly abundant low-cost renewable electricity combined with site specific advantages and policies, has enabled electrochemical processes to compete with traditional thermocatalysis methods, for example the George Olah plant outlined in the introduction coupling hydrogen through electrolysis with thermocatalysis to produce methanol. Water electrolysis is a well-established technology with many reviews (66, 67), hence this section focuses on going beyond hydrogen to the direct electrochemical reduction of CO2. This area, while much more embryonic, is pushing towards pilot scale with companies like Siemens and Evonik Industries (68), Avantium (69), Opus 12 (70), CERT Systems (71) and Skyre (72) developing commercial systems. High temperature electrolysis to produce CO and syngas (73, 74) using solid oxide electrolyser cell (SOEC) systems could be advantageous if coupled with thermochemical processes to reduce heating cycles. SOECs are not able to reduce CO2 directly to other hydrocarbons and oxygenates, unlike low temperature electrolysis.

4.1 What are the Possible Products of Carbon Dioxide?

Pioneering work carried out by Hori and coworkers (75) in the 1980s marked the birth of CO2 reduction as a new branch of electrochemical research, showing that the choice of metal catalyst can give control over the mechanism and therefore the product. Figure 3 succinctly plots these metals based on their hydrogen and CO adsorption energies (76), realising four groups yielding different CO2 reduction products. Note the correlation between the binding of the two intermediates (CO and hydrogen), deemed the scaling relation (76, 77).

Fig. 3

CO2 reduction metal classification. Metals with strong binding energies preferentially electrolyse water instead of CO2 to produce hydrogen (bottom left). Weak binding energies favour HCOOH (top right), while intermediate binding energies generate CO (top middle). One metal slightly apart (copper) produces multi-carbon products beyond CO. Reproduced from (76) Copyright John Wiley & Sons Inc

CO2 reduction metal classification. Metals with strong binding energies preferentially electrolyse water instead of CO2 to produce hydrogen (bottom left). Weak binding energies favour HCOOH (top right), while intermediate binding energies generate CO (top middle). One metal slightly apart (copper) produces multi-carbon products beyond CO. Reproduced from (76) Copyright John Wiley & Sons Inc

Here we shall examine the CO2 reduction mechanism at a catalyst surface and explore how hydrocarbon products may be generated. The mechanism may be explained in two steps: 2e reduction to CO or formate and further reduction from the CO intermediate (78).

The rate determining step of CO2 reduction to CO is the adsorption of CO2 onto the surface of the catalyst (78, 79). The activation energy for CO2 adsorption is large because of the reorganisation energy involved in forming a bent CO2.–ads intermediate (78). The particular catalyst surface dictates the metastability of different CO2.–ads coordination modes as the catalyst affects the overpotential, or activation energy, for CO2 to CO2.–ads (80, 81).

A catalyst with a high CO2 to CO2.–ads overpotential has weak CO2.–ads adsorption so coordinates CO2.–ads through oxygen and favours protonation to HCOOH shown in Figure 4(a) (78). These catalysts include mercury, cadmium, lead, thallium, indium and tin, with tin or SnO generally favoured (8285). Due to weak Hads, competitive hydrogen production is not a major concern, generally giving this route high Faradaic efficiencies (FEs) >90%.

Fig. 4

(a) Proposed mechanism for CO2 reduction with H2O to formate or CO. Mechanism is dependent on how the CO2 radical anion coordinates to the catalyst; (b) possible mechanism for ethylene (C2H4) formation by the coupling of two chemisorbed CO molecules. Adapted with permission from (78) Copyright 2010 American Chemical Society

(a) Proposed mechanism for CO2 reduction with H2O to formate or CO. Mechanism is dependent on how the CO2 radical anion coordinates to the catalyst; (b) possible mechanism for ethylene (C2H4) formation by the coupling of two chemisorbed CO molecules. Adapted with permission from (78) Copyright 2010 American Chemical Society

At materials with a low overpotential for CO2 to CO2.–ads such as platinum, nickel and iron, the radical anion intermediate coordinates through carbon (or mixed carbon/oxygen) and reacts to form COads. CO eventually coats the metal surface deactivating the CO2 reduction pathway (75, 78, 81). As exemplified by Figure 3, these metals also bind hydrogen favourably, therefore generally turn to hydrogen production (i.e. low selectivity towards CO2 reduction products). A few studies have shown carbonaceous species at very low overpotential before hydrogen formation dominates but this is economically impractical, discussed below.

Materials which reduce CO2 at a medium overpotential bind CO2.–ads through the carbon or mixed carbon/oxygen, stabilising it for dissociation to CO on the surface (81). Gold, silver and zinc are good CO2 to CO examples where CO is very weakly bound, leaving the catalyst before further reduction (75, 86), likewise Hads remains weak enough to allow high FEs (>90%) to be achieved. Silver is generally favoured (83, 85, 87, 88).

Copper also comes under this medium overpotential category but with a slightly stronger COads energy, it allows the intermediate to remain loosely adsorbed meaning it is mobile and able to undergo C–C coupling reactions to form products like ethylene (see possible mechanism in Figure 4(b)), amongst other hydrocarbons and alcohols (75, 78). With increased COads comes increased Hads and with it hydrogen production as a byproduct, limiting the FEs achieved. Kuhl et al. (89) measured 16 CO2 reduction products on a copper plate (Figure 5). Because CO2 is a C1 carbon building block there are numerous mechanistic pathways to reach a plethora of products and even more intermediates (90) for the 12e reduction to either ethylene or ethanol. In this case how does one control selectivity to a preferred product while limiting hydrogen production?

Fig. 5

Current efficiency for CO2 reduction reaction product as a function of potential generated on polycrystalline copper. Reproduced from (89) with permission from The Royal Society of Chemistry

Current efficiency for CO2 reduction reaction product as a function of potential generated on polycrystalline copper. Reproduced from (89) with permission from The Royal Society of Chemistry

Many variations of copper catalysts have been studied (81, 85, 91), and these are evaluated using metrics based on FE (the proportion of electrons which are used to make the desired product), current density (which is a measure of the reaction rate per unit area of electrode) and overpotential (which is a measure of how energy efficient the system is and reflects both catalyst and cell design).

Generally, the most prevalent product is ethylene, examples go up to 65–75% FE at impressive partial current densities of 500–1100 mA cm–2 at high pH (92, 93). By tuning the copper surface with CeOx (94) or by addition of a CO forming cocatalyst such as gold (95) or an iron porphyrin (96), FE for ethanol can be achieved at up to 43% at 128 mA cm–2.

Methanol at first appearance seems one of the easier products to form considering it is a C1 molecule with a 6e reduction (fewer than for ethylene and ethanol), but has been particularly challenging to produce. Albo and Irabien (97) showed 42% FE at 10 mA cm–2 in a gas diffusion electrode (GDE) setup, while other methods have used the combined effort of mixed copper catalysts (palladium-copper (98) and copper-selenium (99)) to tune electronic properties of the active site and ionic liquids to possibly increase the CO2:H2O ratio at the electrode electrolyte interface, to achieve ~80% FE at 30–40 mA cm–2. Some claims on different catalysts such as RuOx have been disproven (100).

A multitude of other species have been produced but still at relatively low current densities. Methane has been produced at 80% FE at a partial current density of 9 mA cm–2 (101). Oxalic acid has been made at 29% FE using silver catalysts (102). C3+ molecules present a greater challenge due to the range of possible intermediates and products, but some progress has been made with propanol at 10% FE at low current densities on copper nanoparticles (NPs) (103). Remarkably, 2,3-furandiol has been made with 71% FE using nickel phosphide catalysts (104).

There is an increasing variety of alternative catalysts with reviews on homogeneous (105) and tethered (106) molecular catalysts and metal free (107) catalysts. It is interesting to note that metal free catalysts have been able to replicate C–C coupling. For example, a range of carbonaceous species including ethylene at up to 31% FE have been measured on nitrogen-doped quantum dots (108).

4.2 What are the State of the Art Systems?

While catalyst optimisation can improve activity and product selectivity, the catalyst environment and therefore the cell architecture plays a large role too (109).

To compare the cell performance, the cell efficiency is a very useful term which combines the energy efficiency to produce the molecules (overpotential in the electrochemical sense) and the current efficiency or selectivity (the focus of the discussion above) (110, 111). It is worth noting that in an electrochemical system the reaction of interest is the cathodic reduction of CO2, and this needs balancing with an anodic reaction, generally the oxygen evolution reaction; the energy efficiency includes both these reactions. Rate of reaction, measured as a partial current density to the desired product, is also important for the electrolyser to operate with a reasonable plant footprint. Jouny et al. (111) gave an example target for alcohols of 3 V at 70% FE cell efficiency (for example, 28% for ethanol) at a rate >300 mA cm–2. Two other key components, durability and conversion efficiency, are reported to a lesser extent and are mentioned in the future perspectives section.

Table III lists a selection of the most recent achievements in CO2 reduction to some of the key products, with cells on the road to commercialisation reported where possible, else laboratory experiments are reported to give a feel of the current TRL. Cell geometry is very important to achieving these goals (109, 114, 115), with examples of different cell geometries shown in Figure 6 from laboratory scale H-cells to more commercially viable flow cells and membrane electrode assemblies (MEAs). Vennekaetter et al. (115) discuss the benefits and drawbacks of different cell geometries. The MEA (Figure 6(d)) allows the electrodes to be placed much closer together giving these systems comparatively higher energy efficiencies. While in their case a perfluorosulfonic acid (PFSA) based membrane with either a copper or silver catalyst gave no CO2 reduction products, others have shown a tin nanoparticulate catalyst on a PFSA half MEA can give 94% FE for formic acid at a 40% cell efficiency and a silver catalyst on an alkaline based MEA can give 94% FE CO at a 49% cell efficiency (83). Alkaline membrane technologies are still in their early days of development, leading others to develop flow cells which can achieve similar FEs for CO and formate with 15–40% cell efficiencies (84, 87, 88). In addition, flow cells allow control over the pH and cation which have all been shown to affect the product distribution (75, 92, 116), making it the preferred choice for more complex products (>2e) (a zero gap anode with a GDE cathode flow cell can achieve the next highest energy efficiencies, (Figure 6(c)). For example, ethylene formation at 65–75% FE achieved 20% cell efficiency with a remarkable rate of up to 1100 mA cm–2 (93). However, this system was demonstrated at pH 15, raising the question of how mitigation of carbonate formation would affect the system economics. Alternatively, for longevity, would it be better to develop catalysts and electrodes capable of achieving high FEs at near neutral conditions?

Table III

A Selection of Current Literature Exemplifying the Status of Electrochemical CO2 Reduction Where Full Cells Have Been Put Together

Catalyst Cell type Partial activity, mA cm−2 Selectivity (FE), % Durability test, h Cell efficiency, % Reference
Carbon monoxide (2e) TRL4–5 (TRL7–8 for SOEC)
Silver/MWCNT Flow cell GDE cathode 350 >95 45 (87)
Silver NPs MEA (alkaline membrane) 120 98 90 49 (83)
Silver particles (Covestro) Flow cell GDE cathode 150 60 800 25 (88)
Ni-YSZ SOEC 640 100 7600 80 (74)
Formate (2e) TRL3–4
Tin NPs MEA type 140 94 142 40 (83)
SnO2/C Flow cell GDE cathode 500 90 (80b) 11 15 (84)
Methanol (6e) TRL1–2
Cu2O NPs Flow cell GDE cathode 10 42 1.5 (97)
Cu1.63Se(1/3) H-cell with ionic liquid 41 78 (99)
Methane (8e) TRL1
Copper NPs Flow cell 9 80 1 (101)
Ethylene (12e) TRL3
Copper NPs Flow cell GDE cathode 150 27 4 15 (112)
Copper NPs + copper on polytetrafluoroethylene Flow cell GDE cathode 1100 65–75 60a 20 (93)
Ethanol (12e) TRL2–3
Fe(TPP)Cl/Cu MEA 124 41 (35b) 15 13 (96)
Propanol (18e) TRL1
15 nm copper nanocrystals H-cell 1.74 8.8 14% deactivation over 12 h (103)
MoS2 single crystal H-cell 0.25 3.5 (113)

Fig. 6

Examples of different cell geometries using a cation exchange membrane: (a) H-cell; (b) flow cell; (c) zero-gap anode flow cell; (d) MEA

Examples of different cell geometries using a cation exchange membrane: (a) H-cell; (b) flow cell; (c) zero-gap anode flow cell; (d) MEA

4.3 Future Perspectives

Much emphasis has been put on catalyst development in this area and with new materials and structures coming through, this is still an important part of development, especially for the more obscure molecules (methanol, C3+). However, some target molecules such as CO, formate and ethylene have shown good FEs at close to industrially relevant current densities. In these systems the questions of focus need to be: how the electrodes or cells can be scaled up, what degradation routes can be mitigated for longer running times (117), how production costs can be driven lower by increasing cell efficiencies and how conversion efficiencies can be driven up to reduce additional separation steps afterwards.

Finally, the integration of these reactions needs to be considered in complete processes as to whether it is coupled with a CO2 source to create a fuel in one step (formate, methanol, ethanol or propanol) or whether it is integrated into a multistep process. This could be multiple electrochemical steps (recent studies have shown ethanol may be formed from CO at a higher yield (118)) or coupling electrochemical to thermochemical or biochemical, for example an electrochemical step to CO is further upscaled to longer chain hydrocarbons through FT (119) or an electrochemical step to formate is then fed to a biocatalyst to form isobutanol and 3-methyl-1‐butanol (120). These ideas and how processes may be integrated are expanded on in the discussion section in Part II (121).

The Authors


Annette Alcasabas is a Lead Scientist at the Biotechnology division of Johnson Matthey. She has a PhD in Biochemistry from the Baylor College of Medicine, USA and a background in microbial genetics. Annette worked in industrial synthetic biology prior to joining Johnson Matthey in 2016. At Johnson Matthey, she is responsible for the molecular biology workflow used in commercial protein production and protein engineering. Annette also leads a number of external collaborative projects with the goal of advancing skills, opportunities and applications for Johnson Matthey in biotechnology.


Peter Ellis was awarded his BSc and PhD in Chemistry from Durham University, UK. Following postdoctoral research with Professor Robbie Burch into the direct synthesis of hydrogen peroxide, he joined Johnson Matthey in 2001. With Johnson Matthey, he has worked extensively on the synthesis of heterogeneous catalysts, notably for the Fischer-Tropsch process, and also in related materials characterisation methods. In 2017 he moved to lead a new project identifying opportunities for Johnson Matthey in electrochemistry. He is currently the Technology Director of Johnson Matthey’s Green Hydrogen business.


Iain Malone is a Research Scientist in the Electrochemistry and Materials group at Johnson Matthey. He joined Johnson Matthey in 2019 as a placement student for his final year Masters project with the Department of Chemistry, University of York, UK working on synthesis and testing of catalyst materials for electrochemical CO2 reduction. After graduating with MChem from the University of York in 2020 Iain has continued research on CO2 reduction with Johnson Matthey.


Gareth Williams is a Senior Process Engineer in the Electrochemistry and Materials Group at Johnson Matthey. He obtained his BEng and PhD in chemical engineering from the University of Bath, UK, and joined Johnson Matthey in 2003, gaining experience in syngas catalysts and processes. Within Johnson Matthey he has been involved in research projects for low carbon technologies including chemical looping. He is a current member of the Electrochemical Transformations research team who are evaluating new opportunities in electrochemistry including bulk and fine chemicals production.


Chris Zalitis is a Research Scientist in the Electrochemical Transformations team designed to introduce electrochemical techniques into new and existing markets of Johnson Matthey. He earned his Master of Chemistry degree at Southampton University, UK, in 2008 and his PhD from Imperial College London, UK, in 2012 in the area of fuel cells looking at the electrocatalytic performance of anode and cathode catalysts under idealised high current density operation. He joined Johnson Matthey in 2013 where he has worked in areas of electrochlorination, battery materials, fuel cells and electrosynthesis, with recent focus on water and CO2 electrolysers.

By |2021-03-09T09:32:17+00:00March 9th, 2021|Weld Engineering Services|Comments Off on A Comparison of Different Approaches to the Conversion of Carbon Dioxide into Useful Products: Part I

Suffrage Science award for Academy CEO

Academy Chief Executive Dr Hayaatun Sillem CBE will tonight be honoured with a Suffrage Science Award from the MRC London Institute of Medical Sciences for her leadership in promoting diversity and inclusion in the engineering profession. Dr Sillem will join 11 other distinguished awardees at an online celebration on Monday 8 March 2021, which marks both International Women’s Day and the tenth anniversary of the awards.

Dr Sillem was nominated for the award by Professor Karen Holford CBE FREng, Deputy Vice Chancellor of Cardiff University and Chair of the Academy’s Research Committee. This will be the fifth Suffrage Science awards for Engineering and Physical Sciences. Professor Holford will present the award, which takes the form of a specially commissioned heirloom piece of jewellery that is passed on from each cohort of awardees to the next.

Suffrage Science Awards: the Engineering and Physical Sciences brooch and pendant

The Suffrage Science Awards celebrate women in science for their outstanding scientific research, communication work, and support of women in STEM. The awards scheme is divided into three branches; ‘life sciences’ – founded in 2011, ‘engineering and physical sciences’- founded in 2013, and ‘maths and computing’ – founded in 2016. Each branch has two associated pieces of jewellery which are passed on from one awardee to the next. The recipient of the jewellery is chosen by the current holder of the award. This generates an extensive ‘family tree’ of incredible scientists and communicators. The unique pieces of jewellery were commissioned from students of the art and design college Central Saint Martins-UAL, who worked with scientists to create pieces inspired by research and the Suffragette movement, from which the scheme takes its name.

Professor Karen Holford said: “Dr Hayaatun Sillem is a truly inspiring leader who is changing the face of engineering in the UK.  She is unapologetically passionate about using her voice to champion others, especially those from underrepresented groups in society.  She is the first female Chief Executive of the Royal Academy of Engineering and is bringing her passion for diversity and inclusion to address positively the diversity deficit which exists in the profession. What I really admire about her is her passion and determination to drive positive change and to positively challenge the status quo – Hayaatun has extensive leadership experience in UK and international engineering and innovation policy and programmes and she uses this experience to extremely good effect to drive the UK engineering community to shape the world with a shared vision for positive change.”

Suffrage Science pioneer Professor Dame Amanda Fisher said: “We dreamed up the awards scheme to celebrate the contribution that women have made to science, which often gets overlooked. This is as important now as it was ten years ago. This year’s awardees join a community of over 148 women scientists. I’m thrilled that since 2011, the awards have travelled from the UK, across Europe to the USA, Hong Kong, Iran and to Ghana, illustrating the international nature of science and engineering, and the global effort to improve the representation of women in STEM.”

The 2021 Engineering and Physical Sciences award winners are:

Dr Gaitee Hussain, European Space Agency, The Netherlands

Professor Syma Khalid, University of Southampton, UK

Professor Natalie Stingelin, Georgia Institute of Technology, USA

Professor Ina van Berckelaer-Onnes, Leiden University, The Netherlands

Dr Hayaatun Sillem CBE, Royal Academy of Engineering, UK

Professor Ruth Cameron, University of Cambridge, UK

Dr Elin Röös, Swedish University of Agricultural Sciences, Sweden

Dr Maria Dolores (Lola) Martín Bermudo, Centro Andaluz de Biología del Desarrollo, Spain

Dr Samaya Nissanke, University of Amsterdam and Nikhef, The Netherlands

Professor Gerjo van Osch, Erasmus University Medical Center, The Netherlands

Professor Valérie Orsat, McGill University, Canada

Dr Mary Anti Chama, University of Ghana, Ghana

The current Engineering and Physical Sciences award holders (2019) are:

Professor Moira Jardine, University of St. Andrews, UK

Dr Sarah Harris  University of Leeds, UK

Professor Roisin Owens University of Cambridge, UK

Professor Tiny De Keuster, Ghent University, Belgium

Professor Karen Holford CBE FREng, Cardiff University, UK

Professor Serena Best CBE FREng, University of Cambridge, UK

Dr Tara Garnett University of Oxford, UK

Dr Isabel Palacios, Queen Mary University of London, UK

Professor Amina Helmi, University of Groningen, The Netherlands

Professor Sue Kimber, University of Manchester, UK

Professor Marzieh Moosavi-Nasab, Shiraz University, Iran

Professor Melinda Duer University of Cambridge, UK

To further commemorate the tenth anniversary of Suffrage Science, the MRC LMS have launched ‘The Suffrage Science Podcast: How women are changing science’, hosted by Dr Kat Arney and produced by First Create The Media with audio production by Georgia Mills. Episodes will be available on Apple Podcasts, Amazon, GoogleSpotify and other podcast platforms.

For more information please contact:

Jane Sutton at the Royal Academy of Engineering

T: 020 7766 0636

E: jane.sutton@raeng.org.uk

Notes for editors

  1. MRC London Institute of Medical Sciences is an Institute of the Medical Research Council, part of UK Research and Innovation. It is a vibrant research environment in which scientists and clinicians collaborate to advance the understanding of biology and its application to medicine. LMS research programs are focused in three sections: Epigenetics, Genes and Metabolism, and Quantitative Biology. https://lms.mrc.ac.uk/
  1. About the jewellery

Pendant by Ying Lola Lou

“I used cells and tissue scaffolds as icons to represent the twelve individual winners, and the Medical Research Council. Bringing together women through the Suffrage Science scheme has created a network that contributes to mankind. Embedded in the pendant are round and oval shaped stones of white moonstone, purple amethyst and green peridot minerals – the colours of the Suffragettes.”

Brooch by Diana Dong

“The strength, belief and courage that exists deep within each woman’s heart, is the inspiration for the brooch. The display device is designed to incorporate the magnetic levitation principle. Magnets will be installed in the base of the display device and the bottom of the brooch, which will make the brooch suspend in mid-air.”

  1. The Royal Academy of Engineering harnesses the power of engineering to build a sustainable society and an inclusive economy that works for everyone. In collaboration with our Fellows and partners, we’re growing talent and developing skills for the future, driving innovation and building global partnerships, and influencing policy and engaging the public. Together we’re working to solve the greatest challenges of our age.
By |2021-03-08T00:01:00+00:00March 8th, 2021|Engineering News|Comments Off on Suffrage Science award for Academy CEO

State-of-the-Art Iridium-Based Catalysts for Acidic Water Electrolysis: A Minireview of Wet-Chemistry Synthesis Methods

Johnson Matthey Technol. Rev., 2021, 65, (2), 247

1. Introduction

Hydrogenations and hydrotreating reactions with molecular hydrogen are critical operations in chemical and related industries. Regardless of the nature of the hydrotreated reactants and products, as society walks away from fossil fuels, the need for hydrogen will remain indispensable. With the increasing access to surplus renewable electricity, the hydrogen production by water electrolysis may take its rightful place not only in transportation and energy storage, but also as a clean hydrogen supply for chemical and related industries (1), replacing greenhouse gas (GHG)-producing methane steam reforming. Among the commercialised and emerging technologies, acidic proton exchange membrane (PEM) electrolysers can operate at up to 20 A cm–2 current density and deliver up to 700 bar hydrogen at high efficiencies (2). Active and durable electrocatalysts are required to reduce the power input, the bottleneck being the sluggish anodic OER. The acidic environment, however, demands corrosion-resistant materials at high potentials. The winner so far is the OER-active conductive and corrosion-resistant iridium at typical loadings of 1–2 mg cm–2. Lower iridium requirements were demonstrated, for example, for a PEM electrolyser with the 3 M nanostructured thin film (NSTF) catalyst reaching 2 A cm–2 current density at 1.86 V at 0.25 mgIr cm–2 (3), which translates into ca. 100 tonnes iridium for the production of 1 TW hydrogen (4). It is obvious that with the current technologies, the terawatt-scale hydrogen production cannot be met with the annual supply of scarce iridium of less than 10 tonnes (4). The annual global demand of hydrogen was reported as 73.9 million tonnes in 2018; as it is almost entirely supplied from fossil fuels, its current production emits 830 million tonnes of carbon dioxide per year (5). The hydrogen production replacement in chemical industries with water electrolysis is relatively well-positioned as a target area for decarbonisation of the industrial sector.

Hundreds of research papers have been focussed on the development of active and durable iridium catalysts, deposition techniques and associated catalyst layer components, which may limit the performance of the most active iridium catalyst formulations. Recent reviews classified iridium-containing catalysts for acidic OER (6) and the variety of methods for the synthesis of iridium oxide (7). Commercial catalyst production methods must be scalable, preferably not require specialised equipment apart from what is available in the catalyst production industries, not produce significant waste and lack the need for large amounts of chemicals, especially those that are hazardous to the environment. With this in mind, the objective of the current minireview is to select a number of the most efficient state-of-the-art iridium catalysts for acidic OER within reported wet-chemistry synthesis methods, focussing on the practicality and scalability of the techniques. We address only wet-chemistry routes, as they are most frequently reported, being relatively accessible in a research environment. Figure 1 and Table I summarise the catalyst synthetic routes and selected catalysts, addressed in this review; this is not a comprehensive summary of all possible routes and catalysts, but rather a careful selection of studies demonstrating promising combination of activity and stability in acidic OER.

Fig. 1.

Summary of the reviewed wet-chemistry synthetic routes of state-of-the-art iridium catalysts for acidic OER

Summary of the reviewed wet-chemistry synthetic routes of state-of-the-art iridium catalysts for acidic OER

Table I

Summary of the State-of-the-Art Activities of Selected Catalysts Prepared by Wet-Chemistry Synthesis and Tested in a Rotating Disk Electrode

Catalyst (method) and section vide infra Loading on the electrode, mgIr cm–2 Overpotential at 10 mA cm–2, mV Activity References
3.2 Surfactant-assisted 0.061 ~290 100 A gIr–1 at 1.51 VRHE (8)
3.3 Surfactant-free colloids 0.0071 345 205 A gIr–1 at 1.5 VRHE (9)
4. Supported on GCN 0.07 278 580 A gIr–1 at 1.55 VRHE (10)
4. Supported on TaTO 0.02 ~300 250 A gIr–1 at 1.51 VRHE (11)
5.2 Selective leaching 0.0277 N/A 810 A gIr–1 at 1.51 VRHE, 3353 A gIr–1 at 1.55 VRHE (12)

The catalyst layer preparation methods, such as deposition methods, are out of the scope of this work, although they significantly affect the catalyst performance. Gas-phase catalyst (layer) preparation techniques (13, 14) are omitted for the same reason, as they require specialised equipment and feature simultaneous catalyst formation and its deposition. The review is based only on published research works; we acknowledge that it may become obsolete due to the rapid developments in the field or may miss some critical proprietary information. The citations are chosen only to support our viewpoints; they cannot be considered as a comprehensive list of the relevant works. Herein, we aim to provide comprehensive insights in selected promising wet-synthesis methods. We hope that the review may help the reader in the selection of a state-of-art catalyst for benchmarking purposes, as well as to assist in further developments of potentially scalable synthesis of active and durable iridium catalysts.

2. Requirements to the Iridium Catalyst Performance and Structure: Activity vs. Stability

Bernt (15, 16) estimated that, in order to decarbonise the transportation sector by transitioning to fuel cell vehicles fuelled by renewable hydrogen, the metal loadings on the anode of polymer electrolyte water electrolysers should be decreased to 0.05 mgIr cm–2. This loading can meet the demand for approximately 150 GW year–1 installed capacity while using only 50% of the annual iridium production. In order to meet this requirement and also use electrolysis for other needs, such as energy storage and chemical industry supply, the specific iridium activity must be increased substantially. An ideal OER catalyst would have negligible overpotential; a highly desirable catalyst would be one that requires 200–300 mV overpotential (1.43–1.53 V) at 10 mA cm–2 current, with catalysts achieving this same current density at overpotentials of 300–400 mV (1.53–1.63 V) being acceptable (17). As a durability criterion, if the overpotential is maintained for 10 h, the catalyst may be suitable for real device fabrication, taking into consideration the catalyst nature and mass loading as well (17). The high activity would manifest itself in a low Tafel slope at real operating potentials. The catalyst specific activity (specific current for electrocatalysis) is the product of the following catalyst characteristics, assuming ideal kinetics with no transport limitations (Equation (i)):

(i)

This equation clarifies that it is not enough to develop highly dispersed iridium catalysts, which would be a relatively easy task to do by synthesising sub-2 nm iridium particles with >50% dispersion but that a proper type of iridium species must dominate the surface. Furthermore, the involved parameters must be stable over the device lifetime.

The activity of the catalyst is usually dependant on the OER pathway, which has been shown to depend on the treatment of the iridium catalyst. In general, two mechanisms have been proposed, with the main difference being the predominant involvement of electron-deficient electrophilic oxygen (denoted as OI–) and as activated lattice oxygen in the reaction. The OER on rutile-type IrO2 proceeds by means of the classical oxide, electrochemical oxide or electrochemical peroxide pathways involving M–O, M–OH and M–OOH intermediates (18, 19) (Equations (ii)(vii)):

(ii)

(iii)

(iv)

(v)

(vi)

(vii)

where M represents the metal oxide IrO2; the oxide pathway involves reactions (ii), (iii) and (v), the electrochemical pathway involves reactions (ii), (iv) and (v), and the peroxide pathway involves reactions (ii), (iv), (vi) and (vii). The peroxide pathway has recently been shown to provide trends that are in agreement with experimental observations by Schuler et al. (19). The electrochemical oxide path is highlighted in red in Figure 2.

Fig. 2.

OER and deactivation pathways in acidic OER, with green route being preferable at lower potentials, red route at higher potentials, while the blue route is potential independent. Reprinted with permission from (20), copyright John Wiley and Sons 2018

OER and deactivation pathways in acidic OER, with green route being preferable at lower potentials, red route at higher potentials, while the blue route is potential independent. Reprinted with permission from (20), copyright John Wiley and Sons 2018

Catalyst featuring an electrochemically grown porous hydrous oxide layer, also known as oxy-hydroxide layer or amorphous IrOx catalysts, exhibit an OER mechanism that involves an electrophilic OI– species (21) and an activated lattice oxygen pathway (22, 23). According to Geiger et al. (22), a simplified pathway highlighting the need for the outer layer of the catalyst to be involved in the reaction could be Equations (viii)(x):

(viii)

(ix)

(x)

where x is a vacancy in the porous hydrous oxide layer. Other references have attributed the increased activity to electrophilic OI– species (21). Ir-O-Ir would play a similar role to the proposed highly reactive, electrophilic oxygen OI– species (21, 24). The second step would have a similar function to the preliminary reaction proposed by Pfeifer et al. (24) (Equation (xi)):

(xi)

where IrOx O represents the IrO2 matrix with an adsorbed oxygen. The pathway involving the electrophilic OI– species is also highlighted in Figure 2 in green, where HIrO2 would loosely represent the OI– intermediate.

The OER has been shown to be more active for the pathway involving the electrophilic OI– species and activated lattice oxygen. Unfortunately, this pathway tends to be deactivated due to the lattice oxygen evolution leading to iridium dissolution, and to the transformation of the oxo-hydroxide to less active anhydrous species (22, 2527). Stabilisation of the iridium atoms in the pathway involving the electrophilic OI– intermediate via enhanced crystallinity (26) or the use of mixed oxides could minimise stability issues. Crystalline IrO2 has a lower intrinsic activity but is more stable due to strong Ir–O bonds between IrO6 clusters, with only topmost layers of the rutile contributing to both processes (25). The superior stability of thermal IrO2 is explained by slower kinetics of IrO3 hydrolysis as compared to its decomposition (20). It has been suggested that both pathways occur during the OER with the activated lattice oxygen pathway being dominant at low potential, due to its high activity, and the classical pathway being dominant at higher potential (20). At potentials relevant to the OER, it is possible that the oxo-hydroxide layer slowly transforms to anhydrous oxide with a subsequent loss in activity and enhancement in stability as recently shown by atomic probe tomography (27).

Speaking of which iridium phase is to be synthesised and introduced into the electrochemical device, the literature features metallic iridium with a variety of predominant crystallographic orientations, amorphous hydrous IrO2, crystalline rutile IrO2, their mixtures, as well as multimetallic iridium composites. The metallic iridium may be oxidised by calcination in air before the catalyst layer assembly (28) or electrochemically in situ (26, 29). Thermal iridium oxidation to IrO2 occurs between 200°C and 500°C (30), the higher the temperature, the higher the crystallinity and electrochemical stability, but the surface area and the activity decrease (31). The 400–500°C region was recommended to strike a balance between activity, stability and conductivity (28).

Many state-of-the-art catalysts, as shown below, use electrochemical in situ oxidation. The iridium (110) surface evolves into two chemically different iridium species, with an active accessible oxide-metal interface (32). The most dense (111) iridium surface is more resistant to the oxidation, and once the oxide is formed, the metallic interface is buried. Although the kinetics of oxide formation and redox properties of the two surfaces are different, their final reached OER activities are rather similar. The same work (32) recommends that for the formation of a porous hydrous IrO2, the in situ Ir(0) activation should include oxidising-reducing cycles, instead of conventionally used electrooxidation, although another study argues that the repetitive electrochemical oxidation and reduction unavoidably leads to dissolution (33). The electrochemical oxidation proceeds via hydroxide to the irreversible Ir(IV) oxide formation in the nanoparticles, while bulk iridium preserves its metallic subsurface with porous Ir(IV) surface layers (34). Thus, one must be mindful of the iridium dissolution during electrochemical oxidation via hydrous IrO2 growth (33). When 20 nm iridium films are used for the acidic OER, their lifetime is similar to the lifetime of the hydrous IrO2 and is significantly lower than for crystalline IrO2 (22).

To produce highly crystalline IrO2, which is more stable but less active than hydrous IrO2, preliminary annealing in air may be recommended, whenever possible. The exceptions, of course, include unsupported polymer-stabilised nanoparticles (26), where annealing would result in particle agglomeration, as well as metal carbides, where it would lead to oxidation and loss of conductivity (35). In such cases, the electrochemical oxidation procedure must be optimised as it affects the catalyst stability.

Fine tuning of the oxide crystallinity, crystallographic orientation, number of oxygen defects and length and strength of Ir–Ir and Ir–O bonds via thoughtful synthetic approaches may diminish the gap between the active but unstable and stable but less active phases. Some such examples, leading to state-of-the-art catalysts, are given below.

Thus, the treasure hunt for the most efficient iridium OER catalyst is a simultaneous optimisation of activity vs. stability. In addition, in order to achieve high iridium utilisation, the catalyst must be easy to integrate into a catalyst layer in order to yield a layer that has both low loadings, and excellent charge and mass transport. Charge transport should include both electronic and protonic in-plane and through-plane conductivities. Proton transport can be optimised by controlling the amount of electrolyte in the layer (36, 37), while improving electron conductivity can be achieved with the use of a conductive support and interconnected IrOx network. Similarly, good in-plane conductivity could be maximised by using a porous transport layer (PTL) with a microporous layer (38).

The catalyst lifetime depends on its operating current density and overpotential. It may be estimated using the so-called activity-stability factor (39) or stability number (S-number) (22) i.e. the ratio of evolved oxygen to dissolved iridium at constant overpotential (39). Geiger et al. reported that IrO2 powder features a one year lifetime at 200 A gIr–1 vs. one month for hydrous oxide (22). The numbers are specific to the used electrochemical cell (Figure 3); for example, oxygen bubble accumulation, a common occurrence in rotating disk electrode (RDE), could make the stability studies not a reliable predictor for the catalyst lifetime in a PEM electrolyser long-term behaviour (16). In a PEM electrolyser, iridium dissolution might result in both iridium ions in the water feed, and migration and redeposition at the anode/membrane interface, membrane (4042) and possible deposition on the cathode leading to platinum deactivation, especially at high current densities and overpotentials (42).

Fig. 3.

Evaluation of IrO2/TiO2 catalyst stability in an RDE and membrane electrode assembly at 70 A gIr–1. Reprinted from (16) under the Creative Commons Attribution License, copyright 2019 The Authors

Evaluation of IrO2/TiO2 catalyst stability in an RDE and membrane electrode assembly at 70 A gIr–1. Reprinted from (16) under the Creative Commons Attribution License, copyright 2019 The Authors

Last but not least, even if the most ideal active and stable iridium phase is developed, the benefits will only manifest if other occurring phenomena are not rate-limiting. The high intrinsic activity and stability may be masked by the limitations in the characterisation technique used, or by the electrode fabrication methodology (43, 44). For example, the commonly used RDE technique might be subject to inert backing passivation (44), and catalyst coated membrane (CCM) fabrication techniques, such as spray-coating, doctor blade and inkjet printing method, could result in very different electrode structures for full-cell testing. Inadequate RDE or CCM fabrication, or non-optimal electrolyte loading can result in excessive charge and mass transport limitations. Further, possible causes of loss of activity are poisoning of the catalyst surface by NafionTM (45), impurities in the electrolyte in RDE. In the presence of non-iridium components, cations place-exchange with sulfonic acid groups in the polymer electrolyte resulting in decreased proton conductivity (46). All these complicate not only the scale-up, but also the assessment of the intrinsic catalyst performance in laboratory-scale devices. It is possible that efficient catalysts have not been identified because of these limitations. Some benchmarking procedures for the OER evaluation have been proposed in RDE (26, 47) and alternative liquid-flow (44, 48, 49) or vapour-fed cells (19) and are urgently needed to be followed.

3. Synthesis of Unsupported Iridium/IrOx /Ir-OOH Catalysts

3.1 Adams’ Fusion Method

Adams’ method was originally developed to conquer the issues of irreproducible platinum catalyst synthesis; it was successfully scaled up and is used industrially for platinum (Adams’) catalyst production (50, 51) and thus is well positioned for potential scalability. It also appears to be one of the most used methods reported for the synthesis of IrO2 for OER, including supported and multimetallic composites. The method is based on the synthesis of iridium nitrate from an iridium molecular precursor heated in a solid mixture with sodium nitrate, followed by the iridium nitrate high-temperature decomposition to IrO2. The side products include poisonous nitrous oxides, which release must be appropriately managed. Synthesis parameters include the temperature and duration of the calcination, nature of the iridium precursor and its fraction in the mixture with NaNO3, all of which affect the crystallinity, oxidation state and surface area of the produced material and thus, the OER performance. The higher is the calcination temperature, the higher is the crystallinity of the produced oxide. However, the amount of active surface hydrous IrO2 decreases, as well as the catalyst surface area. Although the increase in the calcination temperature leads to the lower iridium dispersion (larger particle size) and lower turnover frequency (TOF) due the formation of less active crystalline IrO2, the latter is more stable towards dissolution. This indicates the existence of the optimal calcination temperature to achieve the activity-selectivity balance for the maximised iridium utilisation (31). Electrical conductivity is also improved with increased crystallinity at annealing (52). The highest reported surface area of an IrO2 produced by a modified Adams’ method is 350 m2 g–1, which was obtained from iridium acetylacetonate and calcined in air at 350°C for 30 min (31). The oxide consists of nanodisks with surface partially covered by active Ir(OOH), which however retained only 55% of its activity after 500 potential cycles due to mass loss and restructuring. When the original sample was further heated at 400°C for 1 h, the catalyst retained 70% of its activity after 500 potential cycles. Increased calcination temperature, however, led to a decrease in surface area to 250 m2 g–1. At the catalyst loading of 0.1 mgIrOx cm–2, the specific current of 26 A gIrOx –1 could be achieved at 295 mV overpotential before the stability tests (0.1 M HClO4). For both catalysts, the same activity loss (of 30%) occurred due to the partial oxidation of active sites, but due to the decreased leaching from the 400°C treated sample, the latter strikes the balance between the activity and stability (31). The increase in calcination temperature leads not only to the surface area decrease but also changes the particle morphology to rods with dominating {110} surface terminations (53).

Among other promising reported modifications of Adams’ method, the addition of cysteamine to the iridium precursor solution resulted in the formation of IrO2 nanoneedles of 2 nm diameter (6–8 layers of (110) plane, Figure 4) and 30 nm length after 450°C calcination (54). Although the needles possessed lower Brunauer–Emmett–Teller (BET) surface area than the catalyst formed without cysteamine (141 m2 g–1 vs. 197 m2 g–1), their electrical conductivity was six-fold higher. An overpotential of 313 mV was required to achieve 10 mA cm–2 at the catalyst loading of 0.21 mgIr cm–2 (1M H2SO4, 25°C) before and after a 2 h durability test. The needles were also tested in a PEM electrolyser and found more active and stable than the spherical IrO2 synthesised without cysteamine (54). Most likely, the less dense and well-connected structure of iridium needles contributed to the improved porosity and electrical conductivity. Thin needles with near-zero sphericity form packed beds with the highest near-100% porosity as opposed to 40% for the spherical particles.

Fig. 4.

(a) Ultrathin IrO2 nanoneedles; (b) ultrathin IrO2 nanoneedles consisting of eight (110) layers. Reproduced from (54) with permission from John Wiley and Sons. Copyright 2017

(a) Ultrathin IrO2 nanoneedles; (b) ultrathin IrO2 nanoneedles consisting of eight (110) layers. Reproduced from (54) with permission from John Wiley and Sons. Copyright 2017

3.2 Iridium Nanoparticles Stabilised by a Capping Agent

If one has to produce monodisperse near-spherical nanoparticles with high dispersion (>50%, i.e., smaller than ca. 2 nm) to increase metal utilisation or form anisotropic nanostructures to increase the catalyst layer porosity or promote the formation of certain crystal terminations, colloidal synthesis in the presence of a capping agent is a popular method in academic research (55). Halogen-containing stabilisers, such as cetyltrimethylammonium bromide (CTAB), are known to act also as a growth-directing agent by the halogen selective adsorption on (100) surfaces resulting in rod-like structures. The produced structures are usually pre-washed from the excess chemicals, while the in situ electrochemical preconditioning removes the surfactant, for example, by 50 potential sweeps from 0.05 VRHE to 1.5 VRHE (RHE = reversible hydrogen electrode) (29). Since the metallic iridium is oxidised electrochemically, it is likely to possess a higher proportion of activity-relevant hydrous IrO2 on the surface, as opposed to calcined rutile IrO2.

One of the most successful examples in this category is the 2.0 ± 0.4 nm iridium nanoparticles formed by IrCl3 reduction in ethanol with excess NaBH4 in the presence of CTAB (8). NaBH4 is a strong and fast reducing agent to produce metallic nanoparticles and is often used in the colloidal synthesis. In a protic solvent, borohydride decomposes to gaseous hydrogen, which, depending on the conditions, may proceed in a violent manner. To reach 10 mA cm–2 current, ca. 290 mV overpotential was required at only 0.061 mgIr cm–2 loading in an RDE (0.5 M H2SO4, 25°C). The catalyst demonstrated a similar Tafel slope of ca. 40 mV dec–1 as the calcined catalyst prepared by the Adams’ fusion method (31). However, the specific current at 1.51 V was an order of magnitude higher (100 A gIr–1). The nanoparticles formed a nanoporous structure with well-connected particles, which retained their metallic core but featured an active thin surface oxide layer (Figure 5(a) and 5(b)). Authors stressed the importance of complete IrCl3 removal by adding excess of reducing agent to prevent inhibition of electron transfer. Although the catalyst showed an order of magnitude higher specific current than Ir black (Umicore, Belgium) in an RDE, it required only 250 mV lower potential to reach 2 A cm–2 current (1.85–1.9 V) when tested in an unoptimised PEM electrolyser with 1 mgIr cm–2 loadings. This again indicates the effect of various factors in a PEM electrolyser.

Fig. 5.

(a)–(b) Stabilised interconnected iridium nanoparticles (8); (c) iridium nanodendrites (29) (reproduced from (8) and (29) under a Creative Commons Attribution 3.0 Unported License, published by The Royal Society of Chemistry); (d)–(f) highly-crystalline nanopompons (26) (reproduced from (26) under a Creative Commons License, published by Elsevier)

(a)–(b) Stabilised interconnected iridium nanoparticles (8); (c) iridium nanodendrites (29) (reproduced from (8) and (29) under a Creative Commons Attribution 3.0 Unported License, published by The Royal Society of Chemistry); (d)–(f) highly-crystalline nanopompons (26) (reproduced from (26) under a Creative Commons License, published by Elsevier)

The use of tetradecyltrimethylammonium bromide (TTAB) during IrO2 precipitation from H2IrCl6 by NaOH, followed by reduction by NaBH4, resulted in the formation of 1.7 nm metallic iridium seeds that self-assembled into nanodendrites with 34% porosity at 39 m2 g–1 BET surface area (29). The high crystallinity favoured stability toward dissolution. The 10 mA cm–2 current was achieved at 410 mV overpotential (RDE, 0.05 M H2SO4) but at only 0.0102 mgIr cm–2 loading. At 1.51 V, the catalyst activity was 70 A gIr–1. Similarly to the CTAB-stabilised particles (8), the formed structure featured high porosity and well-connected individual particles (Figure 5(c)).

When a slow reducing agent is used for synthesis (such as glucose (26)), the CTAB suppressed the grain growth in (100) directions; the nanodendrites self-assembled into nanopompons (Figure 5(d)– (f)). Those highly crystalline structures with a high proportion of low-index crystal terminations were relatively resistant to dissolution but showed lower activity as compared to the hydrous IrO2 (26).

The stabiliser-assistant synthesis techniques are easy to implement in a wet laboratory without specialised equipment for academic research. This method of iridium synthesis is also used to preform iridium nanostructures prior to their deposition on a support. One must be mindful of a typically low metal concentration in the synthesis solution, the relatively large use of solvents, reductants, stabilisers and washing solutions, many of which are manufactured from fossil resources and expensive. Such synthesis methods are usually too cumbersome for industrial production, the improvements being feasible though for certain stabilisers (56).

3.3 Stabiliser-Free Wet Chemical Synthesis Methods

This category features one of the most active catalysts reported to date, although the electrodes were fabricated without NafionTM. Synthesis of 1.6 ± 0.3 nm iridium particles was performed without a stabiliser by heating a solution of IrCl3 in methanol, which reduces IrO2 precipitated by co-added NaOH; the resulting solution was used without purification (9, 57). At a loading of 0.0071 mg cm–2 achieved by drop casting of the native solution, the particles formed a uniform layer on a glassy carbon (GC) disk. In 0.1 M HClO4, in an RDE, the catalyst demonstrated an outstanding 205 A gIr–1 activity at 1.5 VRHE and 1130 A gIr–1 at 1.55 VRHE (57). The electrochemically active surface area (ECSA) was found to be 140 m2 g–1 (at a loading of 0.0071 mgIr cm–2). The overpotential to reach 10 mA cm–2 was 345 mV at 0.0071 mgIr cm–2 loading, or 325 mV at 0.0143 mgIr cm–2 loading (9). The iridium loading on the electrode was of vital importance: loading increase above 0.0071 mg cm–2 resulted in significant drop of the ECSA and thus specific current (9). The specific activity at the optimal loading surpasses the activity for the surfactant-mediated catalysts (8), and features a significantly easier, cheaper and scalable preparation. In addition to being surfactant-free and using a low-boiling easily recoverable solvent, the method is scalable to high metal concentrations (5 g l–1) (57).The fate of Na+ (10:1 Na:Ir) is to be investigated, as well as the catalyst durability and performance in a PEM electrolyser.

Many studies feature a similar iridium nanoparticle synthesis without a surfactant with the use of a base (NaOH) in other reducing solvents, but typically such particles are deposited on a support, and are discussed in Section 4.

4. Wet Synthesis of Iridium Catalysts on Powdered Supports

In heterogeneous catalysis, supports, typically with a high specific surface area, are used to stabilise highly dispersed active metal nanoparticles, both during catalyst synthesis and to ensure their stability against agglomeration during a reaction. In the case of electrolysers, the supports can also be used to enhance the electrode electrical conductivity as they will reduce the contact resistance between particles. The acidic OER environment dictates specific requirements to the type of support: it must be resistant to chemical and electrochemical dissolution, and preferably must have a high electronic conductivity. The latter need is mandatory if iridium loading is low; however, if IrO2 covers most of the support, it may provide sufficient percolative transport for the electrons (3). The film, however, must be as thin as possible to provide advantages over unsupported IrO2 nanoparticles. In this subsection, we focus on the wet synthesis of iridium catalysts on powdered supports, which could be mixed with a NafionTM solution for catalyst layer preparation.

In recent years, carbon and metal carbides have been receiving less and less attention because of carbon oxidation and volatilisation to CO2 at high applied potentials (58). As a notable exception, one of the most active iridium catalysts reported so far features a carbon-based support (10). A 40 wt% iridium catalyst was prepared by impregnation of graphitic carbon nitride (GCN) nanosheets with the metal precursor followed by annealing in air at 350°C. Thus embedded IrO2 possesses compressed Ir–Ir bonds and decreased coordination numbers of Ir–O and Ir–Ir, which was suggested to weaken the adsorption of oxygen intermediates leading to increased OER activity. The reported specific currents are 580 A gIr–1 at 1.55 V and 1493 A gIr–1 at 1.6 V. The catalyst required the overpotential of 278 mV at 10 mA cm–2 at 0.07 mgIr cm–2 loading (in RDE in 0.5 M H2SO4). Authors demonstrated only 35 mV potential increase at 20 mA cm–2 for ca. 4 h in an RDE; and 78.5% current retention in a laboratory water splitting device after a 24 h operation at 1.6 V. The fate of GCN was assessed by holding 2.2 VRHE for 2 h with intermediate cyclic voltammetry (CV) measurements between 0.4 VRHE and 0.6 VRHE; the double-layer capacitance decreased by 10% in the first 0.5 h and remained stable up to 2 h (10); apparently, the graphitic support nature with nitrogen heteroatom provides its stability in acidic electrolysis. Given the high catalyst activity and a rather easy and potentially scalable preparation of GCN and Ir/GCN, the studies of the catalyst durability and performance in a PEM electrolyser are warranted.

Among oxidation-resistant conductive metal oxide supports, antimony tin oxide (ATO), indium tin oxide (ITO) and fluorine tin oxide (FTO) have been the focus of the most research because of their relatively high conductivity. Unfortunately, the dopant’s corrosion brings down the conductivity, increasing ohmic losses and decreasing the energy efficiency (59). Dissolved cations may also ion-exchange with the membrane and lead to its degradation (46). A recent study observed neither activity nor stability benefits from the dopant addition (60). Although FTO possess the lowest conductivity, it was found to be the most stable material between –0.34 VRHE and 2.7 VRHE, followed by ITO and ATO. The stability is assigned to the oxygen atom exchange in SnO2 with fluorine, instead of cation exchange in the case of ATO and ITO synthesis (59). ATO, in turn, was suggested to mitigate iridium dissolution by preserving it in lower oxidation states (61). Commercially available samples usually feature low surface areas; several synthetic techniques were suggested in literature for the preparation of mesoporous doped SnO2 with relatively high areas (for example, between 125 m2 g–1 and 263 m2 g–1) (62). To deal with toxic NH4F for the FTO synthesis, safety measures must be in place, as in any chemical and engineering process. A number of iridium catalysts supported on doped SnO2 with high activities and low overpotentials at low iridium loadings were recently reported.

A popular method for the preparation of supported iridium OER catalysts is a colloidal precipitation of IrO2 from an iridium molecular precursor by means of NaOH; the synthesis may proceed in ethylene glycol (29), which serves both as a solvent and a reducing agent, or, for example, in a hydrothermal microwave reactor (63). Small 2–3 nm particles may be obtained (61), or even smaller (1.5 ± 0.2 nm) if a stabiliser is added (64). The support may be added to the colloidal dispersion either during synthesis, or after the nanoparticle formation. The use of high-boiling ethylene glycol, though, complicates the potential process scale-up because solvent removal under vacuum is usually used (57), instead of centrifugation or filtration of highly diluted suspensions, as practiced in laboratories. As an example of such preparation method, when SnO2 was doped with tantalum to produce tantalum tin oxide (TaTO) and used to deposit preformed 1.7 nm IrOx nanoparticles at 11–18 wt% iridium loading, the OER activity of the fresh catalysts after electrochemical conditioning approached 250 A gIr–1 at overpotentials of 280 mV and 370 mV at 0.020 mgIr cm–2 loading (25°C, 0.05 M H2SO4) (11). Although the electronic conductivity of TaTO was two orders of magnitude lower than that of ATO, its use did not result in decreased activity, which was ascribed to the conducting role of well dispersed IrOx nanoparticles. In accelerated ageing tests at 1.2–1.6 V potential steps, the IrOx /TaTO catalysts demonstrated between 70% and 90% activity retention vs. 60% for the ATO-supported catalyst. The loss of the dopant was one or two orders of magnitude lower for tantalum as compared to antimony, while the loss of tin was not affected. The iridium dissolution was found dependent on the tantalum loading: the higher loading decreased iridium oxidation state contributing to its dissolution, while at lower loadings tantalum shell suppressed IrOx nanoparticle detachment. This study (11) also demonstrates that the use of a support contributes to enhanced iridium leaching, as compared to commercial IrO2. As a result, although the activity of unsupported IrO2 is significantly lower than that of the developed catalysts, its stability to dissolution contributes to high S-numbers (ratio of evolved oxygen to dissolved iridium) (22). For example the S-number for IrO2 was twice as high as that for selected IrOx /TaTO catalysts at 1.6 V and similar at 1.5 V (11). When hydrous IrOx was supported on ATO, its S-number was also lower than the one for unsupported IrOx , but the calcined supported samples demonstrated up to two orders of magnitude higher S-number as compared to IrO2 (60).

When the above-mentioned (Section 3.2) surfactant-stabilised iridium nanodendrites (39 m2 g–1 area) were deposited on high-surface-area ATO (235 m2 g–1), an initial overpotential of 260 mV at 10 mA cm–2 at only 0.0102 mgIr cm–2 loading (RDE, 0.05 M H2SO4) was observed while accelerated durability test showed a minor overpotential increase by 30 mV over 15 h compared to an abrupt increase for other tested catalysts at earlier times (29). The specific current at 280 mV overpotential was reported at 70 A gIr– 1 vs. 8 A gIr–1 for Ir black. In a PEM electrolyser, the catalyst demonstrated the current density of 1.5 A cm–2 at 1.8 V and 1 mg cm–2 loading compared to 0.8 A cm–2 for Ir black.

An atomically dispersed iridium on ITO with ultimate iridium dispersion was developed by grafting 0.86 wt% iridium as an organometallic iridium complex followed by calcination in air at 400°C (65). The specific current of 156 A g–1 iridium was reached at 280 mV overpotential and 0.021 mgIr cm–2 loading (0.1 M HClO4). An overpotential of 350 ± 20 mV was required to drive the 10 mA cm–2 current at such low metal loadings over the course of 2 h; some iridium agglomeration was observed in the used catalyst and its consequences on the long-term performance requires further analysis.

From the catalyst synthesis viewpoint, one must be mindful that the support’s chemical composition may change during the synthesis, affecting the electrochemical performance. For example, if Adams’ method involving high-temperature calcination is used to produce IrO2 on a carbide support, the support oxidation leads to the loss of conductivity (for example, TaC lost its conductivity from 120 S cm–1 to 10-8 S cm–1 at such circumstances) (35). A similar carbide oxidation to a less-conductive oxide was reported for iridium nanoparticle synthesis in the presence of a support by a polyol method (heating in a reducing ethylene glycol with precipitating NaOH) (58). Moreover, iridium, tin and indium oxides may form mixed oxides; the lattice vacancies are thus produced upon tin and indium in situ dissolution, improving the initial activity but jeopardising the durability (66) due to enhanced iridium dissolution.

5. Mixed Metal Oxides

Development of multimetallic iridium-containing catalysts has recently attracted considerable attention as a means of enhancing the OER catalyst performance, as had proven beneficial for catalyst development for fuel cells and alkaline water electrolysis. However, with iridium being the most corrosion resistant metal and still dissolving under the acidic OER conditions, any other metal would have an even higher dissolution rate. A rather popular combination of iridium and ruthenium features high activities due to the higher OER activity of ruthenium than that of iridium, but is not practical because of low corrosion resistance of ruthenium, which is also a scarce and expensive metal. The studies of the mixed oxide OER catalysts do typically address (and inevitably show) the dissolution of the catalyst components, but there is a lack of studies on the effect of the leached ions on the PEM system level. It is likely that the non-iridium cations may not only ion-exchange on NafionTM changing its properties (67), but may also travel to the cathode side and poison the platinum cathode as was shown for iridium (42). Membrane degradation may also occur due to the attack of HO and other radicals, whose formation is catalysed by transition metal cations (46). For example, iron and copper ions were shown to dramatically enhance membrane degradation (68).

Thus, a practical mixed oxide catalyst for an acidic OER application may be envisioned as one of the following composites (Figure 6): (a) an IrOx shell fully covering the core with an earth-abundant metal increasing the iridium dispersion. In this case, electrolyte contamination with the second metal may be delayed as compared to the mixed alloys until the iridium shell atoms leach exposing the core atoms; (b) iridium nanostructures produced by the preliminary removal of a sacrificial second component from a bimetallic composite, either by potential cycling or chemically. The selective leaching of the second component leads to surface restructuring (69), porosity enhancement (39), formation of lattice vacancies (70) and ECSA increase (71). Lattice vacancies formation via secondary metal leaching is a unique opportunity to modify the electrophilicity and Ir–O bond length leading to the enhanced OER activity as compared to IrOx synthesised only from an iridium precursor (70, 72). Some works report, though, that iridium leaching from the composites may even be increased due to the created lattice vacancies, as compared to monometallic iridium catalysts (39).

Fig. 6.

Mixed metal oxides for the acidic OER catalyst preparation

Mixed metal oxides for the acidic OER catalyst preparation

Below, we provide some examples for such catalyst synthesis and performance. We note that the direct deposition methods, such as reactive sputtering and physical vapour deposition, are very frequently used for the mixed oxide studies (39, 7175), because they ensure structures with well-controlled composition and stoichiometry, thus, enabling the fundamental understanding of the composite’s behaviour. As this review does not cover the catalyst layer preparation methods, we only focus on the production of metal oxide powders or colloidal dispersions which were or could be mixed with the NafionTM solution.

5.1 Core-Shell Bimetallic Nanoparticles

Multimetallic composites can be synthesised using all the techniques applicable for monometallic catalyst synthesis (see Section 3) with the addition of the second precursor, with the fine tuning of the reaction conditions. Very often, both precursors are added together during the synthesis. Simultaneous reduction of different ions with different redox potentials leads to the formation of either mixed alloy particles or core/shell nanoparticles (76). For the core-shell synthesis, methods like ionic substitution (galvanic replacement) can be used (77) where a precursor of the second metal is deposited onto the metallic nanoparticles of the other metal based on the standard electrochemical potential (78), or a hydrogen-sacrificial method (79) where a core metal is hydrogenated, followed by the second ion reduction by the surface hydrides and shell formation. It is important to understand that thermodynamically unstable bimetallic structures can be synthesised (in terms of metal distribution) but how fast they rearrange into the thermodynamically stable composites (for example, where a metal with a lower cohesive energy segregates to the surface) depends on temperature, chemical and electrical environment. Metals can even change their location in situ depending on the catalysed reaction or treatment conditions via so-called adsorbate-induced segregation (8082). Under the OER conditions, the restructuring may be expected to be an ongoing process with transient equilibrium states due to the different rates of metal dissolution.

According to the Hume-Rothery substitution rule, in order to form a continuous solid solution, it is imperative that the difference between the atomic radii of the solvent and the solute not exceed 15% of each other and they should possess similar crystal structures (83). One of the most common metals alloyed with iridium is ruthenium, but regardless of the efforts being made to inhibit ruthenium leaching, literature report continuous ruthenium dissolution, irrespective of methods of synthesis and structure of the mixed metals oxides. Ruban et al. reported a comprehensive table of surface segregation energies in transition-metal alloys, which can help predicting the final dealloyed structure of iridium composites (84). In bimetallic alloys with iridium, metals such as copper, zirconium, rhodium, palladium, silver, hafnium, platinum and gold would segregate to the surface, while iridium would surface-segregate from alloys with titanium, vanadium, chromium, manganese, iron, cobalt, nickel, niobium, molybdenum, technetium, ruthenium, tantalum, tungsten, rhenium and osmium (84). Indeed, for example, in ruthenium-iridium alloys iridium formed a protective shell, offering an extended stability to ruthenium (85).

Another example, conforming to the iridium surface segregation prediction, relates to the iridium-nickel composite. Bimetallic 7 nm IrNi3.2 alloy nanoparticles were prepared by a simultaneous reduction of iridium and nickel precursors in the presence of a stabiliser (70). The followed potential cycling from 0.05 VRHE to 1.5 VRHE for 50 cycles resulted in partial nickel leaching, dealloying and oxidation with the formation of a metallic IrNi alloy(core)-IrOx (shell) nanostructure. The IrOx shells are doped with holes (originated from nickel leaching); they feature shorter Ir–O bonds and are more electrophilic than conventional IrO2, which affects the rate of O–O bond formation during OER and enhanced intrinsic activity per iridium site. A specific current of 676 A gIr–1 was reported at 300 mV overpotential with 0.0102 mgIr cm–2 loading, which is one of the highest in the above presented examples (70). This example shows an extraordinary combination of increased iridium utilisation due to its preferential location in the nanoparticle shell, as well as its beneficial electronic and thus catalytic activity modification upon dealloying.

5.2 Selective Leaching of the Sacrificial Component (Hard Templating)

When a secondary metal in bimetallic composites with iridium is selectively removed, the process results in the formation of porous iridium nanostructures with high accessible active site density and modified IrOx electronic and geometric properties, which cannot be achieved via a monometallic iridium catalyst synthesis. Some examples of a sacrificial metal are nickel (12, 86), cobalt (86) and osmium (39). Among different leaching methods, the most common are acid leaching (12) and potential cycling (39, 71). For example, iridium was deposited on nickel nanowires via galvanic displacement, followed by the nanowires (‘hard template’) removal by acid leaching (12). The residual composite with 90.5 wt% iridium demonstrated a specific current of 1650 A gIr–1 at 0.0306 mg cm–2 loading at 300 mV overpotential in RDE in 0.1 M HClO4. A parent mixed metal structure can be prepared as stabilised nanoparticles in a colloidal solution, such as an iridium-osmium oxide (39). The potential cycling resulted in dealloying and fast osmium dissolution, leaving behind a nanoporous architecture of iridium metal core and IrOx shell with an optimised stability and conductivity (39). An important observation was that a high amount of Os–Ir bonds in the parent alloy led to the maximum iridium dissolution upon fast osmium leaching.

This category features some of the most architecturally-sophisticated porous nanostructures, such as hollow nanocrystals synthesised via formation of a iridium-cobalt-nickel solid nanoparticles, followed by cobalt and nickel etching with Fe3+ (86), or double-layered nanoframes produced in a solution via reduction of nickel, copper and two types of iridium precursors with different reduction kinetics followed by acid leaching (87). Theoretically, this approach may produce highly porous connected iridium-only nanostructures, but its practical implementation is complicated by the nuances in the size and structure control, as well as secondary component complete leaching without the structure collapse.

It appears that the main achievement of the selective etching is not in the improvement of iridium surface area and dispersion, as the thus-synthesised catalysts do not feature areas above 100 m2 g–1 as compared with monometallic IrO2 synthesised by Adams’ method with 250 m2 g–1 (31). Instead, the etching allows for modification of the IrOx electronic structure and vacancies, affecting its OER activity and stability.

6. Conclusions

The fast-growing pool of published studies on the iridium-catalysed acidic OER continually contributes to the mechanistic understanding of iridium activity and durability, the role of the second metal in alloys and metal-support interactions. As a myriad of more or less sophisticated methods and structures emerges, one must keep in mind the method practicality, safety, ease and scalability, and that it must use as little resources and produce as little waste as possible. This, most likely, precludes the use of surfactant-assisted routes of wet catalyst synthesis and might jeopardise stabiliser-free colloidal synthesis in vast amounts of organic solvents.

Despite the many advances on catalyst synthesis, and recently proposed metrics to assess catalyst activity and stability, such as the S-number and the activity-stability factor, a lack of consensus on the metrics used to report catalyst performance, as well as the electrochemical testing benchmarking procedures, make the comparison of different catalysts challenging. Activity studies reviewed for the fresh catalysts are not always accompanied by meaningful stability assessment, and high reported activities should be regarded with care, as the most active (hydrous) amorphous IrOx is less stable than the less active crystalline IrO2. With such considerations, it appears, to our subjective opinion, that Adams’ fusion method (or other thermal methods) producing relatively stable rutile, deserve closer attention and further modifications. To take advantage of the enhanced activity of electrophilic oxygen sites, as follows from the multioxide studies, modification of the electrophilicity and Ir–O bond length via secondary metal leaching is a possible way to bridge the gap between the activity and stability. The use of supports may increase the stability of the calcined catalysts, however, the addition of dopants to improve electrical conductivity must be used with care.

One must keep in mind that the catalyst layer fabrication can have a tremendous effect on the activity observed in a real electrode. The ionomer-to-catalyst ratio, particle size, the use of a support, catalyst-ionomer-solvent interactions in the dispersion, and deposition technique, can have a significant impact on the electrode electrochemical surface area, ion and electron conductivity and its ability to transport reactant and byproducts in and out of the cell. Gas-phase catalyst synthesis and deposition methods, for example (13), which were not reviewed here, may provide a promising alternative to the wet-chemistry techniques. Moving forward, not only the catalyst synthesis, but also development of common characterisation techniques and metrics to assess activity and stability in RDE, and optimal electrode fabrication methods must become paramount in our collective effort to develop the most efficient OER catalyst, and OER electrode.

By |2021-03-05T07:49:49+00:00March 5th, 2021|Weld Engineering Services|Comments Off on State-of-the-Art Iridium-Based Catalysts for Acidic Water Electrolysis: A Minireview of Wet-Chemistry Synthesis Methods

Academy marks World Engineering Day

  • Statistics show impact of Africa grants programmes on sustainable development in sub-Saharan Africa

  • Videos highlight engineering role in meeting UN SDGs

To mark the second UNESCO World Engineering Day for Sustainable Development on 4 March 2021 the Academy is showcasing its impact on enhancing collaboration, education and diversity in engineering in sub-Saharan Africa (SSA), delivered through its Africa grants programmes.

The achievements of the Africa grants programmes include:

  • Over 2000 professionals trained by Professional Engineering Institutions across SSA.
  • Over 530 student industry placements since 2013. Number of students obtaining industry internships increased from 40% to 90% over the course of one project in Zambia
  • Diversity & Inclusion initiatives have driven equal gender participation in programmes. A project from the Institute of Engineers Rwanda helped to increase the number of female internship applicants from 5% in 2018 to 25% in 2019.
  • 50 individual course curricula reviewed and improved as a result of industry–academia partnerships.
  • Almost 50 UK organisations and 400 in-country bodies involved as project partners so far.

The Academy has also released a series of videos highlighting how engineers play a critical role in meeting the UN Sustainable Development Goals and published a blog post by the Chair of the Academy’s International Committee, David Thomlinson FREng.

The Academy is helping to develop innovative solutions to a range of impending and accelerating challenges in SSA. Working with local higher education and engineering organisations, it is helping to grow engineering capacity and support sustainable development across 23 countries through two key programmes: Higher Education Partnerships in Sub-Saharan Africa (HEP SSA) and GCRF Africa Catalyst.

The first, HEP SSA, provides industry secondments for lecturers, equipping them to teach in line with the latest industry standards, while placements help their students to develop practical skills and to give them a better understanding of project cycles and networking opportunities. The programme addresses the gap between theoretical engineering knowledge taught to students across SSA and the practical application of such theory in industry.

Through strong alliances with partner academic institutions, the Academy is helping to reshape teaching requirements and facilitate more opportunities. At the University of Zambia this led to updating and aligning course content in line with industry requirements, while increasing the number of students obtaining industry internships from 40% to 90%.

The GCRF Africa Catalyst programme leverages the Academy’s extensive network and expertise to strengthen national engineering organisations. More than £3.5 million has been awarded through 37 projects across 14 countries to help these bodies promote better training, diversity and sustainability.

Launched in 2016, with support from the UK government’s Global Challenges Research Fund (GCRF), the Africa Catalyst initiative allows engineers to focus on issues of specific importance to their relevant jurisdictions, while facilitating good governance practices.

The Academy aims to support the development of a diverse and future-fit workforce across the continent. It is estimated that fewer than 10% of engineering posts in Africa are currently occupied by women. GCRF Africa Catalyst has worked with Women in Engineering (WomEng) to promote gender diversity across a wide spectrum of professional experience. WomEng’s work with Eswatini’s Registration Council for Architects, Engineers, Surveyors and Allied Professionals has resulted in seven registered female members where they initially had none. A HEP SSA project with the Institute of Engineers Rwanda helped to increase the number of female internship applicants from 5% to 2018 to 25% in 2019.

Commenting on the progress achieved, Yewande Akinola MBE, a member of the Royal Academy of Engineering GCRF Africa Catalyst Committee, said: “While we see immediate improvements in skills and innovation through these programmes, the real win is establishing a framework for lasting change. This will equip communities in Africa to anticipate and plan for the challenges posed by climate change, urbanisation and economic development. The continent is transforming rapidly, and those engineering its future need the skills to think on their feet.

“By developing strong alliances between local partners in sub-Saharan Africa and the UK, we can enable learning, collaboration and sharing of best practice, which in turn will build skills to boost innovation. But there is much more to be done, which needs the continued support of investors and partners.”

 

Notes for Editors

  1. The Academy’s Africa grants programmes facilitate learning and collaboration between engineers in sub-Saharan Africa and the UK to boost innovation and tackle shared challenges. The flagship programmes, HEP SSA and GCRF Africa Catalyst, connect engineers in industry and education from sub-Saharan Africa and the UK, creating strong alliances to support sustainable development. Its overall goal is to enhance social and economic development in Africa by enabling a diverse and future fit workforce.
  2. The Royal Academy of Engineering harnesses the power of engineering to build a sustainable society and an inclusive economy that works for everyone. In collaboration with our Fellows and partners, we’re growing talent and developing skills for the future, driving innovation and building global partnerships, and influencing policy and engaging the public. Together we’re working to solve the greatest challenges of our age.

 

For more information, imagery, or to arrange an interview please contact RAEng@Gongcommunications.com or call + 44 (0)20 7935 4800

By |2021-03-04T09:51:03+00:00March 4th, 2021|Engineering News|Comments Off on Academy marks World Engineering Day
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