Revolutionizing Heat Transfer: Nanofluids, Turbulators, and Machine Learning for Sustainable Energy Efficiency

Zafar Said

maj 2025 · Elsevier

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Revolutionizing Heat Transfer: Nanofluids, Turbulators, and Machine Learning for Sustainable Energy Efficiency bridges the knowledge gap between traditional heat transfer enhancement techniques and innovative approaches employing nanofluids and turbulators. Users will find this to be an all-inclusive resource on the latest advancements in nanofluids, turbulators, and machine learning techniques for heat transfer enhancement that also includes detailed guidance on the synthesis, characterization, design, and optimization of these technologies. Using an interdisciplinary approach, this book serves as a valuable reference for researchers and practitioners working on heat transfer in energy applications and students studying related areas.There is a growing need for this resource as it addresses both the limitations of current heat transfer techniques while also providing sustainable solutions for a wide range of engineering applications. - Presents the synthesis, properties, and characterization of nanofluids and the design, optimization, and performance evaluation of turbulators - Provides insights into the mechanisms of heat transfer enhancement using nanofluids and turbulators, along with their applications in various heat transfer systems - Offers guidance on the environmental and economic impacts of nanofluids and turbulators, enabling readers to make informed decisions on their implementation - Highlights the challenges and future prospects of nanofluids and turbulators in renewable energy systems, waste heat recovery, and energy storage systems - Equips readers with the knowledge to address safety concerns, regulatory challenges, and develop standards and guidelines for nanofluid and turbulator applications

O autorze

Dr. Zafar Said is currently working as a Distinguished Associate Professor in theDepartment of Mechanical and Aerospace Engineering at the United Arab EmiratesUniversity, UAE. He received his doctoral degree in Mechanical Engineering fromthe University of Malaya, Malaysia, and completed his postdoctoral research atKhalifa University, UAE. Dr. Said is a recognized leader in energy technology,nanofluids, and sustainable energy. His major areas of interest include heattransfer, solar energy systems, and advanced thermofluids. His research focuses onbattery thermal management, enhancement of solar collectors using nanofluidsand turbulators, and the development of stable nanorefrigerants andnanolubricants. He also applies artificial intelligence and machine learning topredict thermophysical properties and optimize energy systems. He is the recipientof several prestigious awards, including the Khalifa Award for Education asDistinguished University Professor (2025), the Future Pioneer Award inSustainability (2025), and Best Academic Research at the 13th Dubai Award forSustainable Transport (2024). He has also received the Research and InnovationAward from the UAE Ministry of Energy and Infrastructure (2022) and First Place inScientific Research at the Excellence and Creative Engineering Award (2023) by theSociety of Engineers, UAE. In recognition of his contributions, he has beenconsistently ranked among the world’s top 2% of scientists in the field of energy byElsevier BV and Stanford University. In addition to his academic duties, he activelyserves in editorial roles for several international journals and is a frequent keynotespeaker at global conferences.

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