Venkata Rao Ravipudi,Hameer Singh Keesari
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: Paperback / softback
Length: 391 pages
Publication date: 03 March 2023
Publisher: Springer Nature Switzerland AG
Renewable energy sources have gained significant attention in recent decades, leading to the development of innovative techniques and tools for their efficient harvesting. Researchers and scientists have dedicated their efforts to enhancing the energy systems to extract and utilize renewable energy more effectively. In this comprehensive book, we introduce recently developed Jaya and Rao (Rao-1, Rao-2, and Rao-3) algorithms for optimizing selected renewable energy systems. These algorithms are applied to real-case studies involving various renewable energy sources, such as solar energy, bio-energy, wave energy, ocean thermal energy, tidal energy, geothermal energy, and wind energy.
The results of applying these algorithms are compared with other optimization techniques, including 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. The performance of the Jaya and Rao algorithms is evaluated in terms of their ability to find optimal solutions for 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 of various versions of the Jaya and Rao algorithms are provided, making this book an invaluable resource for readers in both industry and academic research.
By leveraging the power of optimization algorithms, we can unlock the full potential of renewable energy sources and contribute to a more sustainable and environmentally friendly future.
Weight: 617g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030955915
Edition number: 1st ed. 2022
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