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Energy Performance Modelling and Optimization of Nanofluid Cooling Systems in Renewable Energy Applications
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Author(s): Dhirendra Patel (Amity University, Greater Noida, India), M. L. Kumar (Amity University, Greater Noida, India)and Ankesh Kumar (Amity University, Greater Noida, India)
Copyright: 2026
Pages: 26
Source title:
Principles, Materials, and Applications in Facade Engineering
Source Author(s)/Editor(s): Arkar Htet (Mullion Facade Engineering School, Myanmar)and Theingi Aung (Mullion Facade Engineering School, Myanmar)
DOI: 10.4018/979-8-3373-6023-2.ch006
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Abstract
This chapter presents a comprehensive treatment of energy performance modelling and optimization for nanofluid-based cooling systems used in renewable energy applications. It covers the physical principles of nanofluids, effective-property models, convective heat transfer correlations, numerical and reduced-order modelling approaches, experimental considerations, and optimization strategies (design of experiments, response surface methodology, evolutionary algorithms, and multi-objective techniques). Case studies — including solar photovoltaic (PV) cooling, concentrated solar power (CSP) receivers, and thermal energy storage augmentation. practical modelling workflows, key results, and trade-offs. Figures, tables, and sample graphs are included to guide researchers and engineers in developing, validating, and optimizing nanofluid cooling solutions.
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