Optimal configuration framework of hybrid renewable energy technologies-based hydrogen energy storage system assessment using enhanced artificial rabbit algorithm

Aykut Fatih Güven and Rizk M. Rizk-Allah

Energy, 2025, vol. 326, issue C

Abstract: This study introduces the enhanced artificial rabbit optimization (EARO) algorithm, which was developed specifically to optimize hybrid renewable energy systems (HRES) for efficient electricity and hydrogen production. The EARO algorithm was designed to meet specific load demands and economic metrics to promote sustainable energy solutions. By integrating wind turbines, photovoltaic panels, fuel cells, biomass generators, and inverters into a comprehensive HRES, the EARO algorithm effectively manages and allocates power, thus ensuring both cost reduction and reliability.

Keywords: Optimization design; Hydrogen production; Renewable energy system; Annual system cost; Energy management; EARO algorithm (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:326:y:2025:i:c:s0360544225010503

DOI: 10.1016/j.energy.2025.135408

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