Optimizing renewable energy systems: A comprehensive review of entropy generation minimization
Source abstract
Abstract
This comprehensive literature review examines the key concepts of entropy generation minimization and its significant impact on the advancement of renewable energy systems. The study begins by introducing the fundamental principles of entropy generation and their relevance to thermodynamic processes. It emphasizes the critical role of reducing entropy production in enhancing the overall efficiency of energy conversion technologies. This review evaluates various approaches to identifying and mitigating irreversibility in renewable energy applications, including analytical methods, numerical simulations, and optimization strategies. It also explores how the principles of entropy generation minimization can be integrated into system design and operation to improve the performance of a wide range of renewable energy technologies, such as biomass conversion, wind turbines, solar photovoltaic systems, and geothermal energy. Furthermore, this review provides a thorough examination of the literature, spanning from classical theories to the latest innovations in thermodynamics and heat transfer. The novelty of this review lies in addressing the gap between entropy generation minimization and its application to renewable energy systems, thereby paving the way for future research and technological advancements in the field.
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Research context
OpenAlex topics: Advanced Thermodynamics and Statistical Mechanics · Building Energy and Comfort Optimization · Thermodynamic and Exergetic Analyses of Power and Cooling Systems
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Mathematics, College of Science and Humanities in Al-Kharj, Prince Sattam Bin Abdulaziz University 1 , Al-Kharj 11942,
Department of Basic Engineering Science, Faculty of Engineering, Menoufia University 2 , Shebin El-Kom 32511,
Department of Mathematics, University of Sargodha 3 , Sargodha 10400,
Department of Mathematics, Faculty of Science, Aswan University 4 , Aswan,
Faculty of Engineering, Kuwait College of Science and Technology 5 , Doha District 35004,
Funding
Prince Sattam Bin Abdulaziz University
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