Overview

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.

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Mehdi Mehrpooya is a Professor of Energy Engineering at the University of Tehran, where he heads the Division of Energy Technologies and leads the Hydrogen and Fuel Cell Laboratory. He specializes in energy, hydrogen technologies, and energy storage. A highly cited researcher, he has been recognized as a Clarivate Highly Cited Researcher since 2018 and has received multiple Outstanding Researcher Awards. He has published widely, holds patents, and has led international collaborations in energy technology. Farzad Ghafoorian holds a Master's degree in Mechanical Engineering from Iran University of Science and Technology and is currently a Graduate Research Assistant, Department of Mechanical and Aerospace Engineering, University of Colorado, Colorado Springs, USA. He has authored over twenty papers on CFD of wind turbines, geothermal energy, and PCM applications in thermal control. He serves as a guest editor and reviewer for various journals and received the Best Researcher Award from ScienceFather for his contributions to the field. Mahdi Alibeigi is a PhD Candidate at the School of Energy Engineering and Sustainable Resources, College of Interdisciplinary Science and Technology, University of Tehran, Iran, specializing in sustainable energy systems. His work focuses on machine learning in fluid mechanics, with interests in fuel cells, hydrogen production, enhanced heat transfer, and renewable energy optimization. He has published extensively in journals

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