Digital Twin Technology for Optimizing Solar Concentrators

1. Auflage 2026
ISBN: 978-1-394-39017-5
Verlag: John Wiley & Sons Inc

Buch, Englisch, 368 Seiten

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.

Autoren/Hrsg.

Mondal, Surajit

Singh Paliyal, Paramjeet

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Technische Wissenschaften Technik Allgemein Mess- und Automatisierungstechnik
• Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik
• Technische Wissenschaften Energietechnik | Elektrotechnik Solarenergie, Photovoltaik

Über Autor(innen)

Surajit Mondal, PhD is an academic and researcher in renewable energy systems, digital technologies, and sustainable engineering. He is associated with the Amity School of Engineering and Technology at Amity University, Bengaluru, India. He has published extensively in reputed journals and actively contributes to research, innovation, and technology development in clean energy systems.

Paramjeet Singh Paliyal, PhD works with the Department of Electrical and Electronics Engineering in the College of Engineering at Roorkee University. His research focuses on solar thermal systems, solar concentrators, renewable energy technologies, energy efficiency, and sustainable engineering solutions. He has contributed significantly to research in solar energy harvesting, thermal systems, and advanced renewable energy applications.

Sachin Sharma, PhD is the Centre Head at the Bajaj Engineering Skills Training at the University of Petroleum and Energy Studies, Dehradun, India. He has extensive experience in research, academic leadership, and interdisciplinary technology development. His expertise spans thermal engineering, sustainable technologies, renewable energy systems, and advanced manufacturing.