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Techno-economic Assessment of CO2 Electrolysis: How Interdependencies between Model Variables Propagate Across
Isabell Bagemihl1, Lucas Cammann1, Mar Pérez-Fortes2
1Department of Chemical Engineering, Delft University of Technology, Van der Maasweg 9, 2629 HZ Delft, The Netherlands.
Electrochemical conversion of carbon dioxide (CO2) into base chemicals is key for a sustainable energy transition. This study reveals that optimizing electrolyzer design requires considering performance variable interdependencies, potentially lowering economic targets for efficient CO2 electrolysis.
Area of Science:
- Electrochemistry
- Chemical Engineering
- Sustainable Energy
Background:
- Electrochemical conversion of captured carbon dioxide (CO2) offers a pathway to close the carbon cycle and support energy transition.
- Research is progressing from lab-scale feasibility to industrial application, focusing on electrolyzer design and operation.
- Current techno-economic analyses often overlook critical interdependencies between key performance variables like current density, faradaic efficiency, and conversion.
Purpose of the Study:
- To develop a multiscale model for alkaline, membrane electrolyzers that incorporates mass transfer effects.
- To analyze the economic trade-offs influenced by interdependencies of performance variables in CO2 electrolysis.
- To provide a more accurate economic outlook for industrial CO2 conversion systems.
Main Methods:
- Developed a model capturing mass transfer effects along the channel length of an alkaline, membrane electrolyzer.
- Coupled channel-scale phenomena with higher-level process scale.
- Embedded the multiscale model within an economic framework for analysis.
Main Results:
- Derived target values for performance variables are highly sensitive to the interdependencies modeled at the channel scale.
- Economically optimal current densities may be significantly lower (up to half) than previously established benchmarks.
- The study quantifies the economic impact of neglecting performance variable interdependencies.
Conclusions:
- Multiscale modeling is essential for accurately assessing and optimizing CO2 electrolysis systems.
- Understanding interdependencies is crucial for identifying bottlenecks and designing economically viable CO2 conversion technologies.
- This work informs future research directions for efficient and cost-effective carbon capture and utilization.
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