Affiliation:
1. IIMT University, India
Abstract
Renewable energy systems have gained significant attention in recent years due to their potential to mitigate climate change and reduce reliance on fossil fuels. However, ensuring the efficient utilization of resources and optimizing the performance of these systems remain critical challenges. This chapter focuses on applying data envelopment analysis (DEA) as a valuable tool for assessing and optimizing the efficiency of renewable energy systems in various scientific, information technology, and engineering contexts. The chapter overviews DEA principles, methodologies, and models and explores its specific application in renewable energy systems. The integration of DEA with other analytical tools, such as life cycle assessment (LCA) and optimization techniques, is also examined. The chapter highlights data availability and quality challenges and identifies future research directions in DEA for renewable energy systems.