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Pilot-Scale CO2 Electrolysis Enables a Semi-empirical Electrolyzer Model AITranslate

Jonathan P. Edwards; Théo Alerte; Colin P. O’Brien; Christine M. Gabardo; Shijie Liu; Joshua Wicks; Adriana Gaona; Jehad Abed; Yurou Celine Xiao; Daniel Young; Armin Sedighian Rasouli; Amitava Sarkar; Shaffiq A. Jaffer; Heather L. MacLean; Edward H. Sargent; David Sinton;
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Abstract AITranslate

Carbon dioxide (CO2) electrolysis powered with renewable electricity can help close the carbon cycle by converting emissions into chemicals and fuels. Two key advancements are required to bridge the technological gaps for industrial implementation: pilot plant demonstrations with detailed performance data; and chemical engineering process models built and tested with lab- and pilot-scale data. Here, we develop a semi-empirical electrolyzer model in Aspen Custom Modeler which is trained on a 5 cm2 lab-scale CO2 electrolyzer. We then scale to a pilot-scale 800 cm2 single cell and 10 × 800 cm2 stack and use the results to validate the model; at 100 mA cm–2, the model can predict six of seven cell performance metrics within 16% absolute error and three of five stack metrics within 11% absolute error. With the combination of the electrolyzer model and the pilot-scale data, this work provides the prerequisites for further scaling of CO2 electrolysis.

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DOI：https://doi.org/10.1021/acsenergylett.3c00620

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Citation Information:

Carbon dioxide (CO2) electrolysis powered with renewable electricity can help close the carbon cycle by converting emissions into chemicals and fuels. Two key advancements are required to bridge the technological gaps for industrial implementation: pilot plant demonstrations with detailed performance data; and chemical engineering process models built and tested with lab- and pilot-scale data. Here, we develop a semi-empirical electrolyzer model in Aspen Custom Modeler which is trained on a 5 cm2 lab-scale CO2 electrolyzer. We then scale to a pilot-scale 800 cm2 single cell and 10 × 800 cm2 stack and use the results to validate the model; at 100 mA cm–2, the model can predict six of seven cell performance metrics within 16% absolute error and three of five stack metrics within 11% absolute error. With the combination of the electrolyzer model and the pilot-scale data, this work provides the prerequisites for further scaling of CO2 electrolysis.

quote

GB/T 7714-2015 [1] Jonathan P. Edwards, Théo Alerte, Colin P. O’Brien, et al. ACS Energy Letters, 2023(8). DOI:10.1021/acsenergylett.3c00620.
MLA [1] Jonathan P. Edwards, et al., ACS Energy Letters, no. 8, 2023, https://doi.org/10.1021/acsenergylett.3c00620.
APA [1] Jonathan P. Edwards, Théo Alerte, Colin P. O’Brien, Christine M. Gabardo, Shijie Liu, Joshua Wicks, Adriana Gaona, Jehad Abed, Yurou Celine Xiao, Daniel Young, Armin Sedighian Rasouli, Amitava Sarkar, Shaffiq A. Jaffer, Heather L. MacLean, Edward H. Sargent, & David Sinton. (2023). ACS Energy Letters(8). https://doi.org/10.1021/acsenergylett.3c00620
IEEE [1] Jonathan P. Edwards, Théo Alerte, Colin P. O’Brien, Christine M. Gabardo, Shijie Liu, Joshua Wicks, Adriana Gaona, Jehad Abed, Yurou Celine Xiao, Daniel Young, Armin Sedighian Rasouli, Amitava Sarkar, Shaffiq A. Jaffer, Heather L. MacLean, Edward H. Sargent, and David Sinton, ACS Energy Letters, no. 8, 2023, doi: 10.1021/acsenergylett.3c00620.