This book describes applications of Jaya and Rao algorithms on real case studies concerning different renewable energy sources.

In the last few decades, researchers have focused on renewable energy resources like solar energy, bio-energy, wave energy, ocean thermal energy, tidal energy, geothermal energy, and wind energy. This has resulted in the development of new techniques and tools that could harvest energy from renewable energy sources. Many researchers and scientists have focused on developing and optimizing the energy systems to extract and utilize renewable energy more efficiently.

In this book, recently developed Jaya and Rao (Rao-1, Rao-2, and Rao-3) algorithms are introduced for single- and multi-objective optimization of selected renewable energy systems. The results of applications of the different versions of Jaya and Rao algorithms are compared with the other optimization techniques like GA, NSGA-II, PSO, MOPSO, ABC, etc., and the performance of the Jaya and Rao algorithms is highlighted compared to other optimization algorithms in the case of renewable energy systems.

The book also includes the validation of different versions of the Jaya and Rao algorithms through the application to complex single- and multi-objective unconstrained benchmark functions.

The algorithms and computer codes of different version of Jaya and Rao algorithms are included in the book that will be very much useful to readers in industry and academic research.

Provides a detailed understanding of different renewable energy systems Explains fully the use of advanced optimization algorithms in renewable energy systems Introduces basic and advanced versions of algorithms that can be used for parameter optimization renewable energy

Inhalt
Introduction to renewable energy systems and the associated problems.- Selected renewable energy systems and formulation of their problems.- Advanced engineering optimization techniques and their role in energy systems optimization.- Working of Jaya and Rao optimization algorithms and their variants.- Multi-attribute decision-making methods and their implementation in energy systems.- Optimization of wind farm layouts.- Optimization of the selected solar assisted energy systems.- Optimization of the selected bio-energy systems.- Optimization of hydro energy, geothermal, and ocean thermal energy systems.- Concluding remarks.