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Modelling and stochastic optimization of a three-compartment electrochemical reactor for CO2 electroreduction to formic acid using neural networks

Abstract: Among different configurations, the three-compartment electrochemical reactor has demonstrated promising results for the CO2 reduction towards formic acid. To facilitate the technology's scale-up, it is essential to assess the system's performance and identify the most crucial operational variables. Modelling the system also provides valuable insights into tailoring process variables to achieve formic acid that meets specific requirements. In this context, a case study is proposed to address the non-linear optimization problem of installing the CO2 electroreduction process in a cement industry, aiming to minimize overall cost. Furthermore, various scenarios are considered to evaluate the economic viability of implementing this CO2 electroreduction technology.

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Authorship: Abarca J.A., Coz-Cruz M., Díaz-Sainz G., Irabien A.,

Congress: European Symposium on Computer Aided Process Engineering: ESCAPE (34º : 2024 : Florencia, Italia)

Publisher: Elsevier

Publication date: 01/06/2024

No. of pages: 6

Publication type: Conference object

DOI: 10.1016/B978-0-443-28824-1.50472-5

ISSN: 1570-7946

European project: info:eu-repo/grantAgreement/EC/HORIZON/101118265/EU/Demonstrating energy intensive industry-integrated solutions to produce liquid renewable energy carriers from CAPTUred carbon emissionS/CAPTUS/

Publication Url: https://doi.org/10.1016/B978-0-443-28824-1.50472-5

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JOSE ANTONIO ABARCA GONZALEZ

MARIO COZ CRUZ

GUILLERMO DIAZ SAINZ

JOSE ANGEL IRABIEN GULIAS

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Modelling and stochastic optimization of a three-compartment electrochemical reactor for CO2 electroreduction to formic acid using neural networks

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