Journal Article FZJ-2024-06498

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Unfolding Electrolyzer Characteristics to Reveal Solar‐to‐Chemical Efficiency Potential: Rapid Analysis Method Bridging Electrochemistry and Photovoltaics

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2024
Wiley-VCH Weinheim

ChemSusChem -, e202402027 () [10.1002/cssc.202402027]

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Abstract: Development of photovoltaic−electrochemical (PV-EC) systems for energy storage and industry decarbonization requires multidisciplinary collaborative efforts of different research groups from both photovoltaic and electrochemical research communities. Consequently, the evaluation of the solar-to-chemical or solar-to-fuel efficiency of a new electrolyzer (EC) as a part of a PV-EC system is a time-consuming task that is challenging in a routine optimization loop. To address this issue, a new rapid assessment method is proposed. This method employs power balance requirements to unfold the input EC characteristics into the parameter space of PV-EC systems. The system parameters, composed with the EC output characteristics, yield the solar-to-chemical efficiency attainable by the electrolyzer in combination with any PV device under any irradiance at any relative PV-to-EC scaling and any mode of power coupling. This comprehensive overview is achieved via a mathematically simple conversion of the EC characteristics in any spreadsheet software. The method, designed to streamline the development and minimize the efforts of both the photovoltaic and electrochemical communities, is demonstrated via the analysis of CO2-reduction electrolyzer characteristics and verified with dedicated PV-EC experiments.

Classification:

Contributing Institute(s):
  1. Photovoltaik (IMD-3)
Research Program(s):
  1. 1233 - Solar Fuels (POF4-123) (POF4-123)

Appears in the scientific report 2024
Database coverage:
Medline ; Creative Commons Attribution CC BY 4.0 ; OpenAccess ; Clarivate Analytics Master Journal List ; Current Contents - Physical, Chemical and Earth Sciences ; DEAL Wiley ; Essential Science Indicators ; IF >= 5 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection
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Open Access

 Datensatz erzeugt am 2024-11-27, letzte Änderung am 2025-04-14


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