Renewable Energy Evolution

Sustainability, Innovation, and Transition
Erscheinungsjahr 2027
ISBN: 978-3-032-31630-1
Verlag: Springer Nature Switzerland AG

Buch, Englisch, 534 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Green Energy and Technology

In this volume, world-class experts examine cutting-edge technologies and research findings in sustainable energy engineering, encompassing both theoretical and practical aspects. The book provides a comprehensive overview of innovative solutions and practical approaches that facilitate the global transition toward clean and reliable energy systems. By covering theoretical analyses alongside real-world case studies, it emphasizes the technological advancements and applications necessary for achieving the UN Sustainable Development Goals (SDGs). The text brings together the latest developments in renewable energy systems, intelligent power infrastructure, energy-efficient buildings, and advanced storage technologies.

provides engineers, researchers, and practitioners with valuable insights to overcome challenges and capitalize on opportunities in a rapidly evolving energy landscape. It serves as a critical resource and guide to designing and implementing sustainable energy solutions for future communities, bridging innovation and practice to accelerate the energy transition.

Zielgruppe

Research

Autoren/Hrsg.

Wang, Xiaolin

Fachgebiete

• Technische Wissenschaften Energietechnik | Elektrotechnik Alternative und erneuerbare Energien
• Technische Wissenschaften Energietechnik | Elektrotechnik Energieverteilung, Stromnetze
• Sozialwissenschaften Politikwissenschaft Regierungspolitik
• Geisteswissenschaften Architektur Ökologische Aspekte in der Architektur
• Geowissenschaften Umweltwissenschaften Umweltwissenschaften

Inhaltsverzeichnis

Advanced Renewable Energy Technologies for Sustainable Production.- Thermal Management and Energy Storage Optimization.- Sustainable Transportation Systems and Alternative Fuels.- Smart Grid Technologies and Power Quality Control.- AI-Driven Optimization and Sustainable Energy Planning.

Über Autor(innen)

Xiaolin Wang, Ph.D. , is a Professor in the School of Engineering, University of Tasmania. He worked as a Research Fellow in the Department of Mechanical Engineering at the National University of Singapore from 2002 to 2005. In 2003, he was a visiting scientist at the University of Siegen, Germany, funded by DAAD. In 2005, Prof. Wang joined the School of Mechanical and Chemical Engineering at the University of Western Australia. In 2012, he joined the School of Engineering at the University of Tasmania, where he is now a Professor and Deputy Director of the Centre for Renewable Energy and Power Systems. His research interests include cooling and power engineering, energy storage and conversion, desalination, and utilization of renewable energy. Prof. Wang is a Fellow of Engineers Australia and was named a National Field Leader in Thermal Sciences by in 2018 and 2026. He is listed among the Stanford/Elsevier Top 2% Scientists since 2021. His national and international reputation in thermal science is evidenced by his achievements and awards, including the DAAD visiting fellowship by DAAD Germany in 2003 and the Ludwig Mond Prize 2005 by the Institute of Mechanical Engineers (IMechE), the Australian China Young Scientist Exchange Program award in 2009, and the Australian Japan Emerging Research Leader Program award in 2016 from the Australia Academy of Technological Sciences and Engineering (ATSE). He received the Dean’s Award for outstanding research performance in 2016 and the College Research Excellence Award in 2023 at the University of Tasmania, as well as the Editor’s Choice Award from in 2024. Prof. Wang is a subject editor of , an Associate Editor of the  ;  and , and a guest editor of  , , , and . He has completed many national/international research projects totaling approximately $8.5 million. He is also a member of the Blue Economic CRC ($329 million). To date, he has published more than 330 journal and conference papers.