Optimization Algorithms used in Sizing Renewable Hybrid Energy Systems: A Brief Review

This paper provides a quick review of the most important and recent algorithms for determining the optimal size of renewable hybrid energy systems, with the aim of improving energy production, minimizing cost and meeting consumer needs. It begins by reviewing the most important of these algorithms by type and technology, along with a review of the latest and most important research in this field. Each algorithm is described in detail, including its implementation requirements and practical applications, providing valuable insights for researchers and practitioners. Furthermore, the paper discusses the strengths and advantages of the reviewed algorithms, as well as their limitations and potential weaknesses. By serving as an introductory guide, this work aims to equip researchers with the knowledge necessary to utilize optimization algorithms in the design and implementation of renewable hybrid energy systems, outlining various pathways for future exploration and development in this vital area of energy technology.

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Published
2025-08-07
DOI
https://doi.org/10.1109/acdsa65407.2025.11166128
Primary Topic
Hybrid Renewable Energy Systems
Type
article
Field-Weighted Citation Impact
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article

Optimization Algorithms used in Sizing Renewable Hybrid Energy Systems: A Brief Review

Farag S. Alargt, Ahmad H. Kharaz, Hashem Abusannuga, Mohamed M. Albarghot
Hybrid Renewable Energy Systems
article

Optimization Algorithms used in Sizing Renewable Hybrid Energy Systems: A Brief Review

Farag S. Alargt, Ahmad H. Kharaz, Hashem Abusannuga, Mohamed M. Albarghot
article en

Abstract

This paper provides a quick review of the most important and recent algorithms for determining the optimal size of renewable hybrid energy systems, with the aim of improving energy production, minimizing cost and meeting consumer needs. It begins by reviewing the most important of these algorithms by type and technology, along with a review of the latest and most important research in this field. Each algorithm is described in detail, including its implementation requirements and practical applications, providing valuable insights for researchers and practitioners. Furthermore, the paper discusses the strengths and advantages of the reviewed algorithms, as well as their limitations and potential weaknesses. By serving as an introductory guide, this work aims to equip researchers with the knowledge necessary to utilize optimization algorithms in the design and implementation of renewable hybrid energy systems, outlining various pathways for future exploration and development in this vital area of energy technology.

University of Derby (GB), Center for Solar Energy Research and Studies (LY)
Openalex Percentile: Top 71%
Hybrid Renewable Energy Systems
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Optimization Algorithms used in Sizing Renewable Hybrid Energy Systems: A Brief Review — Farag S. Alargt, Ahmad H. Kharaz, et al. · (2025) | TGRS Research Map | TGRS