Sustainable Energy Planning and Management Using Metaheuristic Algorithms and Computational Modeling

Abstract

Sustainable energy planning and management is crucial for achieving a reliable, affordable, and sustainable energy supply, while promoting environmental protection, social equity, and economic efficiency. Optimizing renewable energy systems for sustainability involves the development, deployment, and operation of renewable energy systems that maximize their environmental, social, and economic benefits while minimizing negative impacts. Metaheuristic algorithms and computational modeling techniques are increasingly being used to optimize renewable energy systems for sustainability. This chapter highlights the use of computational modeling in the field of suitable energy planning and management, with a focus on some fields as solar power forecasting and wind turbine design. Two case studies are presented, namely the environmental economic power dispatch and the environmental friendly microgrids redundancy problem.