Advanced Modeling, Analysis and Optimization of Thermal and Integrated Energy Systems (Emerging Technologies and Materials in Thermal Engineering)

Advanced Modeling, Analysis and Optimization of Thermal and Integrated Energy Systems presents groundbreaking research on the innovative "heat current method" for precise and efficient modelling of thermodynamic systems. The book offers a comprehensive exploration of integrated power-thermal systems, emphasizing holistic optimization strategies crucial for sustainable energy transitions. Authored by experts in the field, this book is a valuable resource for researchers and professionals seeking advanced methodologies in thermal engineering and energy system optimization. The book begins with an introduction that outlines the challenges faced by thermodynamic systems in the renewable energy transition. It progresses to explore the fundamentals of modelling and optimizing thermodynamic and integrated thermal-power systems, introducing the novel heat current method and its application. The subsequent chapters delve into the heat current method for thermodynamic system modelling, efficient simulation and optimization of thermodynamic systems, holistic modelling and analysis of integrated power-thermal systems, and coordinating flexibility and efficiency for renewable energy accommodation.

Advanced Modeling, Analysis and Optimization of Thermal and Integrated Energy Systems offers valuable insights and practical solutions for a diverse audience of researchers, engineers, and energy professionals. Researchers and students working in thermal engineering, and sustainable energy will benefit from the novel methodologies and holistic approaches presented in this book. Engineers and professionals working in the energy sector, particularly those involved in system optimization and renewable energy integration, will find this book essential for advancing knowledge and best practices.

• Introduces a novel heat current method for the accurate and efficient modeling of thermodynamic systems
• Explores the holistic modeling and optimization of integrated power and thermal systems to enhance flexibility
• Discusses a spatiotemporal coordination principle for optimal resource management in distributed energy systems
• Analyzes current studies and provides a systematic review of modeling and analysis methods for thermodynamic systems
• Evaluates the practical implementation and direct applicability of advanced techniques for renewable energy transitions

Dr. Qun Chen received a B.Sc. degree in 2003, from Xi'an Jiaotong University, Xi'an, China, and a Ph.D. degree in 2008, in engineering thermophysics from Tsinghua University, Beijing, China. He is currently a Professor with the Department of Engineering Mechanics, Tsinghua University, and a vice-president of North China University of Technology. His research interests include integrated energy systems, micro energy systems, and thermal engineering.

Dr. Tian Zhao received the B.Sc. degree in 2013, and the Ph.D. degree in 2019, in engineering thermophysics from Tsinghua University, Beijing, China. He is currently an associate professor with the School of Energy Storage Science and Engineering, North China University of Technology. His research interests mainly include integrated power thermal energy systems, heat and mass transfer, and energy storage.

Dr. Huan Ma received the B.Sc. degree in 2017, in electrical engineering, and the Ph.D. degree in 2022, in engineering thermophysics from Tsinghua University, Beijing, China. He is currently an associate professor with the School of Energy Storage Science and Engineering. His research interests include integrated energy systems, demand side management, and electricity markets.

Dr. Kelun received a B.Sc. degree in 2015, and a Ph.D. degree in 2021, in engineering thermophysics from Tsinghua University, Beijing, China. He is currently an associate professor with the School of Energy Storage Science and Engineering, Tsinghua University. His research interests include aircraft thermal management, energy storage technology, and control optimization.