Unveiling the future: A simulation and analysis of hydrogen production using 1kW electrolyzer with MATLAB approach
This research concentrates on optimizing hydrogen production via a 1kW electrolyzer powered by renewable solar energy, specifically targeting efficiency enhancement through adjusting membrane area. The rising global demand for clean energy solutions has positioned hydrogen as a pivotal element in th...
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2025
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my.uniten.dspace-361552025-03-03T15:41:28Z Unveiling the future: A simulation and analysis of hydrogen production using 1kW electrolyzer with MATLAB approach Tak Y.C. Paw J.K.S. Kadirgama K. Ramasamy D. Ahmed O.A. Pasupuleti J. Benedict F. Samylingam L. Kok C.K. 36560884300 58168727000 12761486500 26325891500 33267553600 11340187300 57194591957 57203121542 54942586300 MATLAB Solar energy Clean energy Efficiency enhancement Electrolyzers Energy solutions Environmentally Global demand Membrane area Renewable energy (Solar) Simulation and analysis Sustainable energy systems Clean energy This research concentrates on optimizing hydrogen production via a 1kW electrolyzer powered by renewable solar energy, specifically targeting efficiency enhancement through adjusting membrane area. The rising global demand for clean energy solutions has positioned hydrogen as a pivotal element in the shift toward sustainable energy systems. Nonetheless, the efficacy of hydrogen generation via electrolysis continues to pose a challenge, particularly at reduced scales. This research involved the creation of a comprehensive simulation model utilizing MATLAB Simulink to investigate the impact of membrane area variations on hydrogen production and overall system efficiency. The simulation results indicate that optimizing the membrane area can substantially enhance hydrogen production rates. The system was capable of producing up to 2.5 kg/h of hydrogen, signifying a substantial enhancement over traditional methods. Moreover, incorporating solar energy as the principal power source diminishes environmental repercussions while guaranteeing a sustainable and clean approach to hydrogen production. This research introduces an innovative method for optimizing small-scale electrolyzers, offering insights applicable to industrial hydrogen production and the integration of renewable energy. The findings facilitate the advancement of sustainable hydrogen production technologies, consistent with international initiatives to diminish dependence on fossil fuels. ? 2024 Final 2025-03-03T07:41:28Z 2025-03-03T07:41:28Z 2024 Article 10.1016/j.rineng.2024.103460 2-s2.0-85210603226 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85210603226&doi=10.1016%2fj.rineng.2024.103460&partnerID=40&md5=02f29f3173da4abce1cf769ab537a562 https://irepository.uniten.edu.my/handle/123456789/36155 24 103460 All Open Access; Gold Open Access Elsevier B.V. Scopus |
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MATLAB Solar energy Clean energy Efficiency enhancement Electrolyzers Energy solutions Environmentally Global demand Membrane area Renewable energy (Solar) Simulation and analysis Sustainable energy systems Clean energy |
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MATLAB Solar energy Clean energy Efficiency enhancement Electrolyzers Energy solutions Environmentally Global demand Membrane area Renewable energy (Solar) Simulation and analysis Sustainable energy systems Clean energy Tak Y.C. Paw J.K.S. Kadirgama K. Ramasamy D. Ahmed O.A. Pasupuleti J. Benedict F. Samylingam L. Kok C.K. Unveiling the future: A simulation and analysis of hydrogen production using 1kW electrolyzer with MATLAB approach |
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This research concentrates on optimizing hydrogen production via a 1kW electrolyzer powered by renewable solar energy, specifically targeting efficiency enhancement through adjusting membrane area. The rising global demand for clean energy solutions has positioned hydrogen as a pivotal element in the shift toward sustainable energy systems. Nonetheless, the efficacy of hydrogen generation via electrolysis continues to pose a challenge, particularly at reduced scales. This research involved the creation of a comprehensive simulation model utilizing MATLAB Simulink to investigate the impact of membrane area variations on hydrogen production and overall system efficiency. The simulation results indicate that optimizing the membrane area can substantially enhance hydrogen production rates. The system was capable of producing up to 2.5 kg/h of hydrogen, signifying a substantial enhancement over traditional methods. Moreover, incorporating solar energy as the principal power source diminishes environmental repercussions while guaranteeing a sustainable and clean approach to hydrogen production. This research introduces an innovative method for optimizing small-scale electrolyzers, offering insights applicable to industrial hydrogen production and the integration of renewable energy. The findings facilitate the advancement of sustainable hydrogen production technologies, consistent with international initiatives to diminish dependence on fossil fuels. ? 2024 |
| author2 |
36560884300 |
| author_facet |
36560884300 Tak Y.C. Paw J.K.S. Kadirgama K. Ramasamy D. Ahmed O.A. Pasupuleti J. Benedict F. Samylingam L. Kok C.K. |
| format |
Article |
| author |
Tak Y.C. Paw J.K.S. Kadirgama K. Ramasamy D. Ahmed O.A. Pasupuleti J. Benedict F. Samylingam L. Kok C.K. |
| author_sort |
Tak Y.C. |
| title |
Unveiling the future: A simulation and analysis of hydrogen production using 1kW electrolyzer with MATLAB approach |
| title_short |
Unveiling the future: A simulation and analysis of hydrogen production using 1kW electrolyzer with MATLAB approach |
| title_full |
Unveiling the future: A simulation and analysis of hydrogen production using 1kW electrolyzer with MATLAB approach |
| title_fullStr |
Unveiling the future: A simulation and analysis of hydrogen production using 1kW electrolyzer with MATLAB approach |
| title_full_unstemmed |
Unveiling the future: A simulation and analysis of hydrogen production using 1kW electrolyzer with MATLAB approach |
| title_sort |
unveiling the future: a simulation and analysis of hydrogen production using 1kw electrolyzer with matlab approach |
| publisher |
Elsevier B.V. |
| publishDate |
2025 |
| _version_ |
1825816215849795584 |
| score |
13.244109 |