Digital Twin Technology for Solar Concentrators

Discover how to lead the renewable energy transition with this definitive, expert-led guide on integrating digital twins, AI, and predictive analytics with advanced solar concentrator systems to maximize operational efficiency and accelerate global decarbonization. The global transition toward intelligent and sustainable energy systems has created a growing demand for technologies that can improve the efficiency, reliability, and operational flexibility of renewable energy infrastructure. This book presents a comprehensive exploration of how digital twin frameworks can be integrated with solar concentrator technologies to transform the design, monitoring, optimization, and maintenance of solar energy systems. It covers the fundamentals of solar thermal technologies and solar concentrators before progressing to advanced concepts involving digital twins, artificial intelligence, machine learning, cloud computing, predictive analytics, and cyber-physical systems. Providing expert insights, this volume demonstrates how parabolic trough collectors, linear Fresnel systems, heliostat fields, parabolic dish concentrators, and Scheffler solar concentrators can operate alongside digital twin implementations for real-time monitoring, predictive maintenance, performance optimization, and intelligent control. Featuring contributions from leading researchers and industry professionals, the book includes practical case studies, simulation methodologies, mathematical models, and real-world applications. It serves as a valuable reference for researchers, engineers, industry practitioners, and students seeking to understand and implement next-generation digital twin-enabled renewable energy systems that support global sustainability and decarbonization goals.