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Techno-economic Assessment of CO(2) Electrolysis: How Interdependencies between Model Variables Propagate Across Different Modeling Scales

[Image: see text] The production of base chemicals by electrochemical conversion of captured CO(2) has the potential to close the carbon cycle, thereby contributing to a future energy transition. With the feasibility of low-temperature electrochemical CO(2) conversion demonstrated at lab scale, rese...

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Autores principales: Bagemihl, Isabell, Cammann, Lucas, Pérez-Fortes, Mar, van Steijn, Volkert, van Ommen, J. Ruud
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2023
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10337259/
https://www.ncbi.nlm.nih.gov/pubmed/37448724
http://dx.doi.org/10.1021/acssuschemeng.3c02226
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author Bagemihl, Isabell
Cammann, Lucas
Pérez-Fortes, Mar
van Steijn, Volkert
van Ommen, J. Ruud
author_facet Bagemihl, Isabell
Cammann, Lucas
Pérez-Fortes, Mar
van Steijn, Volkert
van Ommen, J. Ruud
author_sort Bagemihl, Isabell
collection PubMed
description [Image: see text] The production of base chemicals by electrochemical conversion of captured CO(2) has the potential to close the carbon cycle, thereby contributing to a future energy transition. With the feasibility of low-temperature electrochemical CO(2) conversion demonstrated at lab scale, research is shifting toward optimizing electrolyser design and operation for industrial applications, with target values based on techno-economic analysis. However, current techno-economic analyses often neglect experimentally reported interdependencies of key performance variables such as the current density, the faradaic efficiency, and the conversion. Aiming to understand the impact of these interdependencies on the economic outlook, we develop a model capturing mass transfer effects over the channel length for an alkaline, membrane electrolyser. Coupling the channel scale with the higher level process scale and embedding this multiscale model in an economic framework allows us to analyze the economic trade-off between the performance variables. Our analysis shows that the derived target values for the performance variables strongly depend on the interdependencies described in the channel scale model. Our analysis also suggests that economically optimal current densities can be as low as half of the previously reported benchmarks. More generally, our work highlights the need to move toward multiscale models, especially in the field of CO(2) electrolysis, to effectively elucidate current bottlenecks in the quest toward economically compelling system designs.
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spelling pubmed-103372592023-07-13 Techno-economic Assessment of CO(2) Electrolysis: How Interdependencies between Model Variables Propagate Across Different Modeling Scales Bagemihl, Isabell Cammann, Lucas Pérez-Fortes, Mar van Steijn, Volkert van Ommen, J. Ruud ACS Sustain Chem Eng [Image: see text] The production of base chemicals by electrochemical conversion of captured CO(2) has the potential to close the carbon cycle, thereby contributing to a future energy transition. With the feasibility of low-temperature electrochemical CO(2) conversion demonstrated at lab scale, research is shifting toward optimizing electrolyser design and operation for industrial applications, with target values based on techno-economic analysis. However, current techno-economic analyses often neglect experimentally reported interdependencies of key performance variables such as the current density, the faradaic efficiency, and the conversion. Aiming to understand the impact of these interdependencies on the economic outlook, we develop a model capturing mass transfer effects over the channel length for an alkaline, membrane electrolyser. Coupling the channel scale with the higher level process scale and embedding this multiscale model in an economic framework allows us to analyze the economic trade-off between the performance variables. Our analysis shows that the derived target values for the performance variables strongly depend on the interdependencies described in the channel scale model. Our analysis also suggests that economically optimal current densities can be as low as half of the previously reported benchmarks. More generally, our work highlights the need to move toward multiscale models, especially in the field of CO(2) electrolysis, to effectively elucidate current bottlenecks in the quest toward economically compelling system designs. American Chemical Society 2023-06-28 /pmc/articles/PMC10337259/ /pubmed/37448724 http://dx.doi.org/10.1021/acssuschemeng.3c02226 Text en © 2023 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by/4.0/Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Bagemihl, Isabell
Cammann, Lucas
Pérez-Fortes, Mar
van Steijn, Volkert
van Ommen, J. Ruud
Techno-economic Assessment of CO(2) Electrolysis: How Interdependencies between Model Variables Propagate Across Different Modeling Scales
title Techno-economic Assessment of CO(2) Electrolysis: How Interdependencies between Model Variables Propagate Across Different Modeling Scales
title_full Techno-economic Assessment of CO(2) Electrolysis: How Interdependencies between Model Variables Propagate Across Different Modeling Scales
title_fullStr Techno-economic Assessment of CO(2) Electrolysis: How Interdependencies between Model Variables Propagate Across Different Modeling Scales
title_full_unstemmed Techno-economic Assessment of CO(2) Electrolysis: How Interdependencies between Model Variables Propagate Across Different Modeling Scales
title_short Techno-economic Assessment of CO(2) Electrolysis: How Interdependencies between Model Variables Propagate Across Different Modeling Scales
title_sort techno-economic assessment of co(2) electrolysis: how interdependencies between model variables propagate across different modeling scales
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10337259/
https://www.ncbi.nlm.nih.gov/pubmed/37448724
http://dx.doi.org/10.1021/acssuschemeng.3c02226
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