We are now accepting applications for Cohort 2 projects (starting in October 2025). To apply, please see the ‘How to apply‘ page.
Projects starting in Oct 2025
If interested in applying for any of the projects listed below, please refer to the ‘How to Apply‘ page.
Heriot-Watt University Projects
Projects available for UK and international students:
Advancing Sustainable Polymer Biodegradation through Flow Chemistry and Real-Time Monitoring
Lead supervisor: Dr Marc Little, Dr Filipe Vilela
Project partner: BASF
This PhD studentship seeks to build on successful proof-of-concept studies on polymer biodegradation conducted in collaboration with BASF and Heriot-Watt University. The initial study utilised advanced flow chemistry techniques to accelerate the biodegradation of polymers, employing size exclusion chromatography and nuclear magnetic resonance (NMR) spectroscopy to monitor degradation in real time. The PhD research will expand on these findings by investigating the biodegradation of additional polymer systems under varied conditions using a digital flow technology platform that will be developed over the project. The student will use this platform to refine the understanding of degradation pathways and by-product formation, further exploring the carbon-related impact of polymer breakdown. The PhD student will gain expertise in flow chemistry, real-time reaction monitoring, and advanced data analysis, collaborating closely with BASF to translate academic findings into practical applications. This research will advance sustainable chemical manufacturing practices, reinforce the HWU-BASF partnership, and position the student at the forefront of eco-friendly polymer research.
Project partner: BASF
This PhD studentship seeks to build on successful proof-of-concept studies on polymer biodegradation conducted in collaboration with BASF and Heriot-Watt University. The initial study utilised advanced flow chemistry techniques to accelerate the biodegradation of polymers, employing size exclusion chromatography and nuclear magnetic resonance (NMR) spectroscopy to monitor degradation in real time. The PhD research will expand on these findings by investigating the biodegradation of additional polymer systems under varied conditions using a digital flow technology platform that will be developed over the project. The student will use this platform to refine the understanding of degradation pathways and by-product formation, further exploring the carbon-related impact of polymer breakdown. The PhD student will gain expertise in flow chemistry, real-time reaction monitoring, and advanced data analysis, collaborating closely with BASF to translate academic findings into practical applications. This research will advance sustainable chemical manufacturing practices, reinforce the HWU-BASF partnership, and position the student at the forefront of eco-friendly polymer research.
Please note that Heriot-Watt can only accept home students for the following projects (please see ‘How to apply‘ for the definition of a home student).
Advancing sensing technology for CCUS applications
Lead supervisor: Prof. Mercedes Maroto-Valer
Project partner: TUV-SUD
Accurate knowledge of CO2 streams density is vital across the CCUS chain, impacting engineering design, pipeline safety, reservoir management, and financial settlements. Unlike natural gas, which has a constant composition, CO2 streams are project specific and contain over 20 impurities across gas, liquid, and supercritical phases, complicating the development of an accurate and generalisable density Equation of State model (EoS). This is especially challenging near the critical point and the Widom line, where there are large gradients in fluid properties.
Current research suggests directly measuring the density of CO2-rich mixtures due to the limitations of existing EoS models. This project aims to develop two advanced methodologies for accurate and cost-effective CO2 density measurement. One approach combines stream speed of sound, pressure, temperature, and permittivity measurements, while the second integrates pressure, temperature, and speed of sound measurements with isentropic exponent predications from advanced EoS models. Both approaches are designed to be accurate, cost-effective, and easily deployable, as they utilize inputs — such as speed of sound, temperature, and pressure—already available from the existing commercial ultrasonic flow meters typically deployed across the transportation chain.
If successful, this methodology could be implemented in industrial settings with minimal hardware modifications, enhancing the efficiency and accuracy of CCUS technology deployment. Moreover, it has the potential to be applied to any other fluid including biogas, hydrogen, and ammonia.
Project partner: TUV-SUD
Accurate knowledge of CO2 streams density is vital across the CCUS chain, impacting engineering design, pipeline safety, reservoir management, and financial settlements. Unlike natural gas, which has a constant composition, CO2 streams are project specific and contain over 20 impurities across gas, liquid, and supercritical phases, complicating the development of an accurate and generalisable density Equation of State model (EoS). This is especially challenging near the critical point and the Widom line, where there are large gradients in fluid properties.
Current research suggests directly measuring the density of CO2-rich mixtures due to the limitations of existing EoS models. This project aims to develop two advanced methodologies for accurate and cost-effective CO2 density measurement. One approach combines stream speed of sound, pressure, temperature, and permittivity measurements, while the second integrates pressure, temperature, and speed of sound measurements with isentropic exponent predications from advanced EoS models. Both approaches are designed to be accurate, cost-effective, and easily deployable, as they utilize inputs — such as speed of sound, temperature, and pressure—already available from the existing commercial ultrasonic flow meters typically deployed across the transportation chain.
If successful, this methodology could be implemented in industrial settings with minimal hardware modifications, enhancing the efficiency and accuracy of CCUS technology deployment. Moreover, it has the potential to be applied to any other fluid including biogas, hydrogen, and ammonia.
Developing high fidelity co-adsorption measurements for adsorbent based carbon capture
Lead supervisor: Prof. Mijndert van der Spek
Project partner: Surface Measurement Systems
This is an experimental studentship in CO2 capture adsorption science in collaboration with instrument developer Surface Measurement Systems. Adsorbent-based carbon capture is an important means to reduce CO2 emissions from hard-to-abate industrial sectors and/or remove CO2 from the air. This type of technology needs to operate in real flue gases or air, where streams are made up of multiple components, critically nitrogen and water. Heriot Watt and Surface Measurement Systems have developed pioneering CO2-water co-adsorption measurement techniques, appropriate for certain adsorbent materials, while not for all. This studentship focuses on improving the existing analytical methods to achieve high-fidelity CO2-nitrogen-water co-adsorption measurements for a wide range of CO2 capture materials, critical to inform the rational design and optimisation of high-performing CO2 capture processes.
Project partner: Surface Measurement Systems
This is an experimental studentship in CO2 capture adsorption science in collaboration with instrument developer Surface Measurement Systems. Adsorbent-based carbon capture is an important means to reduce CO2 emissions from hard-to-abate industrial sectors and/or remove CO2 from the air. This type of technology needs to operate in real flue gases or air, where streams are made up of multiple components, critically nitrogen and water. Heriot Watt and Surface Measurement Systems have developed pioneering CO2-water co-adsorption measurement techniques, appropriate for certain adsorbent materials, while not for all. This studentship focuses on improving the existing analytical methods to achieve high-fidelity CO2-nitrogen-water co-adsorption measurements for a wide range of CO2 capture materials, critical to inform the rational design and optimisation of high-performing CO2 capture processes.
Legacy Wells: A critical component of repurposing oil and gas infrastructure for underground hydrogen storage
Lead supervisor: Dr Omid Shahrokhi, Prof. John Andresen
Project partner: Not yet determined
The transition to a low-carbon energy system requires innovative solutions to repurpose existing infrastructure. This project explores how legacy oil and gas wells can be transformed into safe and efficient sites for underground hydrogen storage (UHS), a crucial component of renewable energy integration and decarbonization efforts. The focus is on assessing the integrity and suitability of legacy wells, addressing key challenges such as material compatibility with hydrogen, leakage risks, and pressure containment. The project will evaluate retrofitting techniques, advanced monitoring systems, and develop practical frameworks to ensure safe operations. Through analysis of existing field data, laboratory experiments, and computational modelling, this research aims to deliver actionable insights into the technical and regulatory requirements for repurposing legacy wells. By leveraging existing oil and gas assets, this work offers a cost-effective and environmentally sustainable alternative to developing new storage infrastructure.
This project contributes to the energy transition by facilitating large-scale hydrogen adoption, supporting industrial decarbonization, and enabling renewable energy storage. It also aligns with net-zero objectives, reduces environmental impact, and ensures legacy infrastructure plays a critical role in building a clean energy future. Join this pioneering effort to bridge traditional energy practices and sustainable innovation, ensuring a resilient and decarbonized energy system.
Project partner: Not yet determined
The transition to a low-carbon energy system requires innovative solutions to repurpose existing infrastructure. This project explores how legacy oil and gas wells can be transformed into safe and efficient sites for underground hydrogen storage (UHS), a crucial component of renewable energy integration and decarbonization efforts. The focus is on assessing the integrity and suitability of legacy wells, addressing key challenges such as material compatibility with hydrogen, leakage risks, and pressure containment. The project will evaluate retrofitting techniques, advanced monitoring systems, and develop practical frameworks to ensure safe operations. Through analysis of existing field data, laboratory experiments, and computational modelling, this research aims to deliver actionable insights into the technical and regulatory requirements for repurposing legacy wells. By leveraging existing oil and gas assets, this work offers a cost-effective and environmentally sustainable alternative to developing new storage infrastructure.
This project contributes to the energy transition by facilitating large-scale hydrogen adoption, supporting industrial decarbonization, and enabling renewable energy storage. It also aligns with net-zero objectives, reduces environmental impact, and ensures legacy infrastructure plays a critical role in building a clean energy future. Join this pioneering effort to bridge traditional energy practices and sustainable innovation, ensuring a resilient and decarbonized energy system.
Transforming waste to added value products and green energy by MagIC (Magnetic Induction Catalysis)
Lead supervisor: Prof John Andresen & Dr Manuel Ojeda
Project partner: Not yet determined
The amount of industrial waste has been increasing worldwide along with the global population, being considered as a main concern due to the impact not only to the environment but also to the human health and economy. This project will be focused on transform this industrial waste into added value products and green energy carriers by the utilisation of an energy efficient Magnetic Induction Catalytic system recently developed by our group. The project will aim to develop and test new magnetic catalysts based on earth-abundant and inexpensive transition metals such as Nickel, Cobalt and Iron as active supported nanoparticles. The textural and structural properties of the synthesised magnetic catalysis will be then studied and analysed by using different techniques such as X-ray, BET sorption analysis and FT-IR spectroscopy, among others. Then, they will be tested in different reactions at different conditions in order to obtain specific added value products and energy carriers such as Hydrogen or Biofuels, which will help to transit to a circular economy.
Project partner: Not yet determined
The amount of industrial waste has been increasing worldwide along with the global population, being considered as a main concern due to the impact not only to the environment but also to the human health and economy. This project will be focused on transform this industrial waste into added value products and green energy carriers by the utilisation of an energy efficient Magnetic Induction Catalytic system recently developed by our group. The project will aim to develop and test new magnetic catalysts based on earth-abundant and inexpensive transition metals such as Nickel, Cobalt and Iron as active supported nanoparticles. The textural and structural properties of the synthesised magnetic catalysis will be then studied and analysed by using different techniques such as X-ray, BET sorption analysis and FT-IR spectroscopy, among others. Then, they will be tested in different reactions at different conditions in order to obtain specific added value products and energy carriers such as Hydrogen or Biofuels, which will help to transit to a circular economy.
Could in service life concrete carbonation lead to negative emissions?
Lead supervisor: Prof Phil Renforth
Project partner: Not yet determined
Concrete is a fundamental building material essential to economic development and a substantial contributor to greenhouse gas emissions during its production. Concrete reacts with atmospheric CO2 in all parts of its life cycle (during use, following demolition, and subsequent use). Accounting for passive CO2 uptake during the service life, and maximising uptake following demolition, together with deep emissions reduction in the production of cement could result in a net negative CO2 emission during its life cycle. This PhD project will explore this vital in-service life carbonation of concrete and its possible use for creating a net-negative carbon footprint.
Project partner: Not yet determined
Concrete is a fundamental building material essential to economic development and a substantial contributor to greenhouse gas emissions during its production. Concrete reacts with atmospheric CO2 in all parts of its life cycle (during use, following demolition, and subsequent use). Accounting for passive CO2 uptake during the service life, and maximising uptake following demolition, together with deep emissions reduction in the production of cement could result in a net negative CO2 emission during its life cycle. This PhD project will explore this vital in-service life carbonation of concrete and its possible use for creating a net-negative carbon footprint.
Imperial College London Projects
Imperial projects are no longer available.
University of Bath’s Projects
Projects available for UK and international students (deadline: 30th June 2025):
*NEW* Revolutionizing sustainable construction through an experimentation and modelling approach for optimization of bio-based plasterboard manufacturing
Lead Supervisor/s: Dr Richard Ball, Prof. John Chew
Project partner: Adaptavate
Plasterboard is the third most-used construction material globally, contributing significantly to the 40% of carbon emissions attributed to the construction industry. To combat this, Adaptavate has developed Breathaboard – a sustainable plasterboard alternative made from mineral binders and bio-aggregates/biochar. Breathaboard offers comparable structural performance while dramatically lowering embodied carbon emissions.
A resource intensive stage of Breathaboard production is curation. This PhD will focus on transforming the manufacturing process by delivering novel form of industrial symbiosis, through co-location of several Breathaboard processes, enhancing both efficiency and sustainability.
The PhD will focus on three key objectives:
– Investigate Microstructural and Chemical Changes: Analyse how curation and drying impact mechanical properties and hygrothermal performance.
– Develop a Predictive Model: Create a computational model linking operational variables and material properties.
– Integrate Pyrolysis and Curation: Build a combined model to optimize energy consumption and assess the effects of pyrolysis parameters on biochar quality, curation rate, drying behaviour, and material performance.
Throughout this PhD, the successful applicant will gain expertise in cutting-edge modelling approaches and experimental techniques including (1) Thermogravimetric Analysis (TGA) with Mass Spectrometry (MS) to study reaction and drying kinetics, (2) X-ray Diffraction (XRD) for crystalline phase identification, (3) Scanning Electron Microscopy (SEM-EDX) for microstructural and elemental analysis, (4) Numerical and Mathematical Modelling of kinetic and thermodynamic performance of material to optimize the production process.
The research is expected to deliver a step change in manufacturing efficiency, allowing a reduction in capital and production costs, improve product consistency, and enhance environmental benefits, contributing to circular economy principles and sustainable construction material manufacturing.
Project partner: Adaptavate
Plasterboard is the third most-used construction material globally, contributing significantly to the 40% of carbon emissions attributed to the construction industry. To combat this, Adaptavate has developed Breathaboard – a sustainable plasterboard alternative made from mineral binders and bio-aggregates/biochar. Breathaboard offers comparable structural performance while dramatically lowering embodied carbon emissions.
A resource intensive stage of Breathaboard production is curation. This PhD will focus on transforming the manufacturing process by delivering novel form of industrial symbiosis, through co-location of several Breathaboard processes, enhancing both efficiency and sustainability.
The PhD will focus on three key objectives:
– Investigate Microstructural and Chemical Changes: Analyse how curation and drying impact mechanical properties and hygrothermal performance.
– Develop a Predictive Model: Create a computational model linking operational variables and material properties.
– Integrate Pyrolysis and Curation: Build a combined model to optimize energy consumption and assess the effects of pyrolysis parameters on biochar quality, curation rate, drying behaviour, and material performance.
Throughout this PhD, the successful applicant will gain expertise in cutting-edge modelling approaches and experimental techniques including (1) Thermogravimetric Analysis (TGA) with Mass Spectrometry (MS) to study reaction and drying kinetics, (2) X-ray Diffraction (XRD) for crystalline phase identification, (3) Scanning Electron Microscopy (SEM-EDX) for microstructural and elemental analysis, (4) Numerical and Mathematical Modelling of kinetic and thermodynamic performance of material to optimize the production process.
The research is expected to deliver a step change in manufacturing efficiency, allowing a reduction in capital and production costs, improve product consistency, and enhance environmental benefits, contributing to circular economy principles and sustainable construction material manufacturing.
*NEW* Accelerating Industrial Decarbonisation: A Focus on Dispersed High-Energy Use Sites
Lead supervisor: Prof. Marcelle McManus
Project partner: British Sugar
For more info: This PhD provides an opportunity to work to explore and advance novel decarbonisation solutions for high-energy use industrial sites. Your project will be co-created with our industrial partner, British Sugar, who will form the basis of a case study within a PhD research area of high energy, dispersed (ie, not part of any industrial cluster) using industrial sites.
The research will be computational based, and at this stage is still broad, so we can formulate the optimal plan for the right candidate. We will take an interdisciplinary approach, and you will be able to collaborate with experts from diverse fields including engineering, environmental science, policy studies, and business to address complex decarbonisation challenges.
A life cycle based approach may be taken to identify opportunities for British Sugar as a case study which can then be applied across a wide range of dispersed industrial sites. These sites are those that might not benefit from large infrastructure investment (such as hydrogen or CO2 pipelines), but still significant to address in our decarbonisation efforts.
The CDT and the project has an Interdisciplinary Approach: Collaborate with experts from diverse fields including engineering, environmental science, policy studies, and business to address complex decarbonisation challenges.
Project partner: British Sugar
For more info: This PhD provides an opportunity to work to explore and advance novel decarbonisation solutions for high-energy use industrial sites. Your project will be co-created with our industrial partner, British Sugar, who will form the basis of a case study within a PhD research area of high energy, dispersed (ie, not part of any industrial cluster) using industrial sites.
The research will be computational based, and at this stage is still broad, so we can formulate the optimal plan for the right candidate. We will take an interdisciplinary approach, and you will be able to collaborate with experts from diverse fields including engineering, environmental science, policy studies, and business to address complex decarbonisation challenges.
A life cycle based approach may be taken to identify opportunities for British Sugar as a case study which can then be applied across a wide range of dispersed industrial sites. These sites are those that might not benefit from large infrastructure investment (such as hydrogen or CO2 pipelines), but still significant to address in our decarbonisation efforts.
The CDT and the project has an Interdisciplinary Approach: Collaborate with experts from diverse fields including engineering, environmental science, policy studies, and business to address complex decarbonisation challenges.
University of Sheffield’s Projects
Projects available for UK and international students:
*NEW* Evaluation of Energy Switch in Paint Ovens
Lead supervisor/s: Prof. M. Pourkashanian, Dr Maria Fernanda, Dr Andy Heeley, Dr Karen Finney
Project partner: Toyota Motor Europe NV/SA
The automotive industry faces significant challenges in reducing CO2 emissions during the painting process. The paint line is a critical area where substantial energy consumption and emissions occur. Studies have shown that the painting process can account for up to 65% of a manufacturing plant’s total CO2 emissions. This is primarily due to the energy-intensive nature of paint drying and curing, which relies heavily on natural gas-powered furnace. The PhD research focuses on the energy switch for paint ovens, specifically exploring the use of hydrogen burning and oxyfuels. The scope includes a comprehensive literature review on the influence of hydrogen burning on paint quality, the safety of hydrogen burning operations, and the reduction of NOx emissions due to oxyfuels.
Research Objectives:
Fuel Switch. The research will focus on identifying the optimal methods for switching from traditional fuels to hydrogen in paint ovens. Explore methods to reduce NOx emissions and improve efficiency in paint furnaces.
Quality. Develop methods to ensure the quality of the paint is accordance with the industry requirements.
Safety. Review safety standards and practices for industrial hydrogen use to minimize fire and explosion hazards in the factory floor.
Implementation. Develop the solutions in the laboratory and industrial setting to reduce the emissions for automotive industry.
Project partner: Toyota Motor Europe NV/SA
The automotive industry faces significant challenges in reducing CO2 emissions during the painting process. The paint line is a critical area where substantial energy consumption and emissions occur. Studies have shown that the painting process can account for up to 65% of a manufacturing plant’s total CO2 emissions. This is primarily due to the energy-intensive nature of paint drying and curing, which relies heavily on natural gas-powered furnace. The PhD research focuses on the energy switch for paint ovens, specifically exploring the use of hydrogen burning and oxyfuels. The scope includes a comprehensive literature review on the influence of hydrogen burning on paint quality, the safety of hydrogen burning operations, and the reduction of NOx emissions due to oxyfuels.
Research Objectives:
Fuel Switch. The research will focus on identifying the optimal methods for switching from traditional fuels to hydrogen in paint ovens. Explore methods to reduce NOx emissions and improve efficiency in paint furnaces.
Quality. Develop methods to ensure the quality of the paint is accordance with the industry requirements.
Safety. Review safety standards and practices for industrial hydrogen use to minimize fire and explosion hazards in the factory floor.
Implementation. Develop the solutions in the laboratory and industrial setting to reduce the emissions for automotive industry.
*NEW* Process Induced Neural Networks for Environmental Data Analysis and AI for Data Adjustments
Lead supervisor/s: Prof. M. Pourkashanian, Prof. Kevin Hughes, Dr Maria Fernanda
Project partner: Toyota Motor Europe NV/SA
The field of environmental data analysis has seen significant advancements with the integration of Artificial Intelligence (AI) and Machine Learning (ML) techniques. This PhD research aims to explore the development and application of Process Induced Neural Networks (PINNs) for analysing complex environmental energy datasets and utilizing AI for data adjustments to enhance accuracy and efficiency.
Research Objectives:
Development of Process Induced Neural Networks (PINNs): The primary objective is to design and implement PINNs tailored for environmental data analysis. These neural networks will incorporate prior knowledge of underlying physical laws to generate physically consistent predictions, bridging the gap between classical and black-box AI models.
AI for Data Adjustments: The research will focus on leveraging AI techniques to adjust and refine environmental data, ensuring higher accuracy and reliability.
Application in Environmental and Energy monitoring: The PINNs and AI models will be applied to various environmental monitoring tasks, climate change impact assessment and energy used in the process lines. The goal is to improve decision-making processes and develop proactive strategies to address environmental challenges.
Project partner: Toyota Motor Europe NV/SA
The field of environmental data analysis has seen significant advancements with the integration of Artificial Intelligence (AI) and Machine Learning (ML) techniques. This PhD research aims to explore the development and application of Process Induced Neural Networks (PINNs) for analysing complex environmental energy datasets and utilizing AI for data adjustments to enhance accuracy and efficiency.
Research Objectives:
Development of Process Induced Neural Networks (PINNs): The primary objective is to design and implement PINNs tailored for environmental data analysis. These neural networks will incorporate prior knowledge of underlying physical laws to generate physically consistent predictions, bridging the gap between classical and black-box AI models.
AI for Data Adjustments: The research will focus on leveraging AI techniques to adjust and refine environmental data, ensuring higher accuracy and reliability.
Application in Environmental and Energy monitoring: The PINNs and AI models will be applied to various environmental monitoring tasks, climate change impact assessment and energy used in the process lines. The goal is to improve decision-making processes and develop proactive strategies to address environmental challenges.
Future proof energy and materials feedstock resilience for sustainable aviation fuels supply chain
Lead supervisor/s: Prof Lenny Koh, and Prof M. Pourkashanian
Project partner: EIC industrial partners
The green industrial futures depend on a sustainable and resilient resource supply chain to achieve the net zero goal. This project aims to develop a new approach to future proof energy and materials feedstock resilience for sustainable aviation fuels supply chain. The dual effects of sustainability and security of energy and critical materials supply will underpin the model development. It will involve a paradigm shift which combines geo-spatial-temporal modelling, prospective life cycle analysis, techno-economic assessment and AI methodologies. It will map and analyse the sustainable aviation fuels supply chain beyond organisation and embeds embodied/hidden layer of direct/indirect dependence and closed-loop/circular relation in the value networks at multi-tier. Primary data will be derived from TERC, SAF-IC, IDRIC and industry partners. Co-developed with partners, future scenario for SAFSC will be examined across 2030, 2040 and 2050 via various technological pathways and fed into industry and policy decision making.
Project partner: EIC industrial partners
The green industrial futures depend on a sustainable and resilient resource supply chain to achieve the net zero goal. This project aims to develop a new approach to future proof energy and materials feedstock resilience for sustainable aviation fuels supply chain. The dual effects of sustainability and security of energy and critical materials supply will underpin the model development. It will involve a paradigm shift which combines geo-spatial-temporal modelling, prospective life cycle analysis, techno-economic assessment and AI methodologies. It will map and analyse the sustainable aviation fuels supply chain beyond organisation and embeds embodied/hidden layer of direct/indirect dependence and closed-loop/circular relation in the value networks at multi-tier. Primary data will be derived from TERC, SAF-IC, IDRIC and industry partners. Co-developed with partners, future scenario for SAFSC will be examined across 2030, 2040 and 2050 via various technological pathways and fed into industry and policy decision making.
Integrative systems of carbon removal technologies and green hydrogen scale up and standardisation
Lead supervisor/s: Prof Lenny Koh, and Prof M. Pourkashanian
Project partner: EIC industrial partners
Both carbon removal technologies (a.k.a. negative emission technologies) and hydrogen (especially green) will play a key role towards achieving the net zero commitment. A mixed level of maturity of these technologies, supply chain dependency on imported resources, energy content, climate and energy policies variation have led to the dual challenges on scale up viability and global standardisation. This project aims to unpack the integrative systemic and symbiotic effect of carbon dioxide removals (CDR) and hydrogen on operational, economic, social, behavioural and environmental performance. Advanced modelling and comparative assessments will identify optimum systems combination leading to a resource efficient outcome. A new model and framework will be developed for the scale up and standardisation of integrative systems of CDR and hydrogen.
Project partner: EIC industrial partners
Both carbon removal technologies (a.k.a. negative emission technologies) and hydrogen (especially green) will play a key role towards achieving the net zero commitment. A mixed level of maturity of these technologies, supply chain dependency on imported resources, energy content, climate and energy policies variation have led to the dual challenges on scale up viability and global standardisation. This project aims to unpack the integrative systemic and symbiotic effect of carbon dioxide removals (CDR) and hydrogen on operational, economic, social, behavioural and environmental performance. Advanced modelling and comparative assessments will identify optimum systems combination leading to a resource efficient outcome. A new model and framework will be developed for the scale up and standardisation of integrative systems of CDR and hydrogen.