Application of Phase Change Materials in Energy Storage and Conversion Systems

Erscheinungsjahr 2026
ISBN: 978-0-443-34180-9
Verlag: Elsevier Science

Buch, Englisch, 678 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 450 g

Application of Phase Change Materials in Energy Storage and Conversion Systems delves into the use of phase change materials (PCMs) in various energy storage and conversion systems. Starting with an explanation of renewable energy and thermal energy storage, the book comprises thirteen chapters that systematically cover PCM fundamentals and their modeling, design parameters for thermal systems, and factors influencing PCM storage capacity. Additional critical points include the exploration of PCM applications in thermal energy storage systems and buildings, the use of computational fluid dynamics (CFD) for PCM modeling, and optimization techniques for thermal energy storage systems.

This is a comprehensive resource for anyone interested in the theoretical and practical aspects of PCMs. Engineers, researchers, students, and system designers will find this book invaluable for understanding and utilizing PCMs in energy storage solutions.

Autoren/Hrsg.

Mehrpooya, Mehdi

Ghafoorian, Farzad

Alibeigi, Mahdi

Fachgebiete

• Technische Wissenschaften Maschinenbau | Werkstoffkunde Technische Mechanik | Werkstoffkunde
• Technische Wissenschaften Energietechnik | Elektrotechnik Energietechnik & Elektrotechnik

Inhaltsverzeichnis

1. Renewable energy systems and storage an overall view.
2. Thermal energy storage systems
3. What are Phase change materials?
4. PCM selection expediencies
5. PCM categorize
6. Basis for PCM modelling
7. Designing a Thermal energy storage system
8. Factors affecting PCM energy storage capacity
9. PCM applications as TES
10. State of the art PCM applications
11. PCM applications in buildings
12. CFD approach for PCM modelling
13. TES with PCM Optimization techniques

Über Autor(innen)

Alibeigi, Mahdi
Mahdi Alibeigi is a PhD candidate at the University of Tehran and a dedicated researcher specializing in sustainable energy solutions, with a strong emphasis on integrating artificial intelligence and machine learning into thermal energy systems and Computational Fluid Dynamics (CFD). His research focuses on key areas such as fuel cells, electrochemical systems, enhanced heat transfer, and renewable energy sources. Passionate about advancing innovative energy technologies, Mahdi actively seeks collaborative opportunities to improve efficiency and performance across various applications. His multidisciplinary approach aims to tackle the pressing challenges of thermal/energy systems, contributing to the sustainability of modern energy infrastructures.

Mehrpooya, Mehdi
Mehdi Mehrpooya is employed as Full Professor at University of Tehran, Faculty of New Sciences and Technologies. For the past decade as a faculty member, he has participated in teaching and administration duties as well as conducting countless novel research both experimentally and theoretically in several areas. Including process simulation, hydrogen production, storage, and liquefaction, fuel cells and electrochemical systems, energy storage systems and batteries, developing process engineering of several biochemicals production, CO2 separation and reduction, and investigating sustainability though utilization of renewable resources in the process especially by adopting solar energy.

Ghafoorian, Farzad
Farzad Ghafoorian holds a master's degree in mechanical engineering from Iran University of Science and Technology and is currently a PhD candidate in mechanical engineering at the University of Colorado, Colorado Springs. He has been part of the Turbomachinery Research Laboratory at Science and Technology University for four years. He has published multiple articles in ISI journals on the CFD of wind turbines, geothermal converters, and the application of PCMs in packed beds.