Axiomatic Design for Analysis and Noniterative Engineering of Photoelectrochemical Cells for CO<sub>2</sub> Conversion at High Photon to Product Yield

An Axiomatic Design (AD) theoretical protocol is proposed for the analysis and noniterative engineering of photoelectrochemical (PEC) cells that can convert CO<sub>2</sub> toward C<sub>2+</sub> products. AD provides criteria for identifying and selecting materials based on data commonly available in the literature. In addition, it establishes a design order for how to achieve optimal integration of materials for catalysis and light-induced charge separation with a proton-transporting membrane in a noniterative manner by matching relevant fluxes with concentration at interfaces across the design. For a hypothetical tandem PEC flow cell reactor for ethylene as an example, the AD protocol predicts an upper bound of 31 μmol h<sup>-1</sup> cm<sup>-2</sup> at 12% solar-to-product efficiency following PEC process optimization with a design path comprising five steps, starting from data for an O-(II)-D-Cu CO<sub>2</sub> reduction reaction (CO<sub>2</sub>RR) catalyst and including current concentration to tailor the overpotential. The computational procedure provides models with high yield and robustness by balancing high selectivity with low overpotential and a broad operation range of 0.5-1.2 Sun with a dual absorber with bandgaps of 1.90 and 1.35 eV and a fill factor of 0.85. The procedures are implemented in Python and use a decoupled design matrix that eliminates interdependencies between components.

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Publication Details

Journal
Artificial photosynthesis.
Published
2025-06-17
DOI
https://doi.org/10.1021/aps.5c00004
Citations
1
Primary Topic
CO2 Reduction Techniques and Catalysts
Type
article
Field-Weighted Citation Impact
0.36

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article

Axiomatic Design for Analysis and Noniterative Engineering of Photoelectrochemical Cells for CO2 Conversion at High Photon to Product Yield

Huub J. M. de Groot, Suzanne Assen, G. J. A. Sevink
1 citations
Artificial photosynthesis.
CO2 Reduction Techniques and Catalysts
0.36
article

Axiomatic Design for Analysis and Noniterative Engineering of Photoelectrochemical Cells for CO2 Conversion at High Photon to Product Yield

Huub J. M. de Groot, Suzanne Assen, G. J. A. Sevink
article en
1 citations

Abstract

An Axiomatic Design (AD) theoretical protocol is proposed for the analysis and noniterative engineering of photoelectrochemical (PEC) cells that can convert CO<sub>2</sub> toward C<sub>2+</sub> products. AD provides criteria for identifying and selecting materials based on data commonly available in the literature. In addition, it establishes a design order for how to achieve optimal integration of materials for catalysis and light-induced charge separation with a proton-transporting membrane in a noniterative manner by matching relevant fluxes with concentration at interfaces across the design. For a hypothetical tandem PEC flow cell reactor for ethylene as an example, the AD protocol predicts an upper bound of 31 μmol h<sup>-1</sup> cm<sup>-2</sup> at 12% solar-to-product efficiency following PEC process optimization with a design path comprising five steps, starting from data for an O-(II)-D-Cu CO<sub>2</sub> reduction reaction (CO<sub>2</sub>RR) catalyst and including current concentration to tailor the overpotential. The computational procedure provides models with high yield and robustness by balancing high selectivity with low overpotential and a broad operation range of 0.5-1.2 Sun with a dual absorber with bandgaps of 1.90 and 1.35 eV and a fill factor of 0.85. The procedures are implemented in Python and use a decoupled design matrix that eliminates interdependencies between components.

Artificial photosynthesis.Vol. 1(5)
Leiden University (NL)
HORIZON EUROPE Climate, Energy and Mobility
Openalex Percentile: Top 42%
CO2 Reduction Techniques and Catalysts
0.36
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Axiomatic Design for Analysis and Noniterative Engineering of Photoelectrochemical Cells for CO<sub>2</sub> Conversion at High Photon to Product Yield — Huub J. M. de Groot, Suzanne Assen, et al. · Artificial photosynthesis. (2025) | TGRS Research Map | TGRS