Comparative analysis of solar-driven PEM water electrolysis systems for hydrogen production

With the increasing demand for promoting the utilisation of renewable and clean energy resources, solar-driven proton exchange membrane (PEM) water electrolysis systems have gained significant attention as an effective energy conversion technology for green hydrogen production. This study aims to address the performance difference among different configurations of solar-driven PEM water electrolysis systems, so as to provide guidance for system design and optimisation. By coupling TRNSYS with MATLAB, we have established a model for annual performance simulation, based on which comparative analysis of photovoltaic-PEM (PV-PEM), PV/thermal-PEM (PV/T-PEM), and PV-solar thermal-PEM (PV-ST-PEM) systems has been performed, using meteorological data from Nicosia, the capital of the Republic of Cyprus. The results demonstrate that the PV/T-PEM system achieves the highest average solar-to-hydrogen efficiency of 3.5% and PEM energy efficiency of 80.0 % on a typical day in summer. The PV/T-PEM system also exhibit annual hydrogen production of 57.1 L/m<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup>. By employing PV/T collectors, electricity and thermal energy can be simultaneously generated without compromising the solar array area dedicated to electricity generation compared to the PV-ST configuration. It can be concluded that PV/T-PEM systems hold significant potential as a viable solution for enhancing energy efficiency for hydrogen generation.

Authors

Institutions

Publication Details

Published
2024-10-21
DOI
https://doi.org/10.1109/synergymed62435.2024.10799243
Citations
1
Primary Topic
Hybrid Renewable Energy Systems
Type
article
Field-Weighted Citation Impact
0.17
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Comparative analysis of solar-driven PEM water electrolysis systems for hydrogen production

Jinzhi Zhou, Fei Lai, Tongtong Zhang, Jian Song
1 citations
Hybrid Renewable Energy Systems
0.17
article

Comparative analysis of solar-driven PEM water electrolysis systems for hydrogen production

Jinzhi Zhou, Fei Lai, Tongtong Zhang, Jian Song
article en
1 citations

Abstract

With the increasing demand for promoting the utilisation of renewable and clean energy resources, solar-driven proton exchange membrane (PEM) water electrolysis systems have gained significant attention as an effective energy conversion technology for green hydrogen production. This study aims to address the performance difference among different configurations of solar-driven PEM water electrolysis systems, so as to provide guidance for system design and optimisation. By coupling TRNSYS with MATLAB, we have established a model for annual performance simulation, based on which comparative analysis of photovoltaic-PEM (PV-PEM), PV/thermal-PEM (PV/T-PEM), and PV-solar thermal-PEM (PV-ST-PEM) systems has been performed, using meteorological data from Nicosia, the capital of the Republic of Cyprus. The results demonstrate that the PV/T-PEM system achieves the highest average solar-to-hydrogen efficiency of 3.5% and PEM energy efficiency of 80.0 % on a typical day in summer. The PV/T-PEM system also exhibit annual hydrogen production of 57.1 L/m<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup>. By employing PV/T collectors, electricity and thermal energy can be simultaneously generated without compromising the solar array area dedicated to electricity generation compared to the PV-ST configuration. It can be concluded that PV/T-PEM systems hold significant potential as a viable solution for enhancing energy efficiency for hydrogen generation.

Southwest Jiaotong University (CN), University of Birmingham (GB)
Openalex Percentile: Top 42%
Hybrid Renewable Energy Systems
0.17
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.