LAPSE:2023.24892
Published Article
LAPSE:2023.24892
Modeling and Multi-Criteria Optimization of a Process for H2O2 Electrosynthesis
March 28, 2023
Abstract
This article introduces a novel laboratory-scale process for the electrochemical synthesis of hydrogen peroxide (H2O2). The process aims at an energy-efficient, decentralized production, and a mathematical optimization of it is presented. A dynamic, zero-dimensional mathematical model of the reactor is set up in Aspen custom modelerĀ®. The proposed model constitutes a reasonable compromise between complexity and convergence. After thoroughly determining the reaction kinetics by adjustment to experimental data, the reactor unit is embedded in an Aspen PlusĀ® flowsheet in order to investigate its interaction with other unit operations. The downstream contains another custom module for membrane distillation. Electricity appears as a resource in the process, and optimization shows that it reaches product purities of up to 3 wt.-%. Both the process optimization and the adjustment of the reaction kinetics are treated as multi-criteria optimization (MCO) problems.
Keywords
Aspen custom models, electrolysis, parameter estimation, process engineering, process optimization
Suggested Citation
von Kurnatowski M, Bortz M. Modeling and Multi-Criteria Optimization of a Process for H2O2 Electrosynthesis. (2023). LAPSE:2023.24892
Author Affiliations
von Kurnatowski M: Fraunhofer Institute for Industrial Mathematics ITWM, Fraunhofer-Platz 1, 67663 Kaiserslautern, Germany [ORCID]
Bortz M: Fraunhofer Institute for Industrial Mathematics ITWM, Fraunhofer-Platz 1, 67663 Kaiserslautern, Germany [ORCID]
Journal Name
Processes
Volume
9
Issue
2
First Page
399
Year
2021
Publication Date
2021-02-23
ISSN
2227-9717
Version Comments
Original Submission
Other Meta
PII: pr9020399, Publication Type: Journal Article
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LAPSE:2023.24892
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https://doi.org/10.3390/pr9020399
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Mar 28, 2023
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CC BY 4.0
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Mar 28, 2023
 
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