Multi-Criteria Decision-Making for Renewable Energy: Methods, Applications, and Challenges

Multi-Criteria Decision-Making for Renewable Energy: Methods, Applications, and Challenges brings together the latest fuzzy and soft computing methods, models, and algorithms, as applied to the field of renewable energy, and supported by specific application examples and case studies.

The book begins by approaching renewable energy sources, challenges, and factors that affect their development, as well as green renewable energy sites, and the utilization of fuzzy multi-criteria decision-making (MCDM) techniques in these broad contexts, as well as utilization in addressing the various environmental, economic, and social barriers to ensuring the sustainability of energy resources. Detailed chapters then focus on the application of multi-criteria decision-making methods for planning, modelling, and prioritization in specific areas of renewable energy, including solar energy, wind farms, solar-powered hydrogen production plants, biofuel production, energy storage, hydropower, and marine energy. Finally, future opportunities and research directions are explored.

This is a valuable resource for all those with an interest in multi-criteria analysis, fuzzy logic, algorithms, intelligent systems, and modelling for renewable energy, including researchers, scientists, advanced students, engineers, R&D professionals, and other industry personnel.