Design Optimization of Renewable Energy Systems Using Advanced Optimization Algorithms
Design Optimization of Renewable Energy Systems Using Advanced Optimization Algorithms
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This book discusses the applications of Jaya and Rao algorithms on real-case studies related to different renewable energy sources, highlighting their performance compared to other optimization techniques. It includes algorithms and computer codes for practical implementation.
Format: Hardback
Length: 391 pages
Publication date: 02 March 2022
Publisher: Springer Nature Switzerland AG
Renewable energy sources, such as solar, bio-energy, wave, ocean thermal, tidal, geothermal, and wind energy, have garnered significant attention in recent decades. This has led to the development of innovative techniques and tools for efficient energy harvesting from these sources. Researchers and scientists have dedicated themselves to enhancing and optimizing energy systems to maximize the utilization of renewable energy.
In this comprehensive book, we introduce recently developed Jaya and Rao (Rao-1, Rao-2, and Rao-3) algorithms for optimizing single- and multi-objective functions in selected renewable energy systems. We compare the results obtained from applying these algorithms with other optimization techniques, such as genetic algorithm (GA), non-dominated sorting genetic algorithm-II (NSGA-II), particle swarm optimization (PSO), multi-objective particle swarm optimization (MOPSO), adaptive bee colony (ABC), and others. Our analysis highlights the superior performance of the Jaya and Rao algorithms in optimizing renewable energy systems.
Furthermore, the book includes the validation of different versions of the Jaya and Rao algorithms through their application to complex single- and multi-objective unconstrained benchmark functions. The algorithms and computer codes for various versions of the Jaya and Rao algorithms are provided, making this resource invaluable for readers in both industry and academic research.
By exploring the applications of Jaya and Rao algorithms on real-case studies involving diverse renewable energy sources, this book offers valuable insights into optimizing energy systems for sustainable and efficient energy production.
Weight: 770g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030955885
Edition number: 1st ed. 2022
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