This book covers the latest advancements and emerging trends in the renewable energy field. It focuses on novel research directions and cutting-edge technologies related to renewable energy grid infrastructures, engineering design methodologies, and innovative solutions to industrial challenges. The book delves into critical topics such as integrating renewable energy sources into existing grids, advancements in energy storage technologies, and the role of artificial intelligence and machine learning in optimizing renewable energy systems. The contributions are based on selected high-quality research from the 9th International Conference on Renewable Energy and Conservation (ICREC 2024), providing readers with a comprehensive understanding of the multifaceted nature of renewable energy engineering.
Advances in Sustainable Energy Systems, Storage, and Conservation is a valuable resource for researchers, practitioners, professionals, and scientists seeking to stay ahead of the curve in the rapidly evolving renewable energy field.
Provides insights into the latest trends and emerging technologies in renewable energy engineering; Integrates insights from engineering, environmental science, and policy analysis; Features case studies and practical applications of implementing renewable energy solutions.
Low-Power Wireless Sensor Design for LoRa-Based Distributed Energy
Harvesting System.- Towards Energy Hubs: An Innovative Geographic Information
System based Approach for Cluster Definition.- Standard Diesel Production
from Mixed Waste Plastic through Thermal Pyrolysis and Vacuum Distillation.-
Omnidirectional Broadband Dual-functional (Antireflection and Ultra
super-hydrophilic) Nanocoating for Solar Applications.- Evaluation of the
Environmental Sustainability of SOFC-based Cogeneration Systems in Commercial
Buildings.- Building-integrated Photovoltaic (BIPV) Systems: A Science
Mapping Approach.-Effect of non-Gaussian Colored Noise on Ambient Energy
Harvesting.-Univariate and Multivariate Short-Term Solar Power Forecasting of
25MWac Pasir Gudang Utility-Scale Photovoltaic System Using LSTM Approach.-
Analysis of the Variability of Low-Carbon Energy Sources, Nuclear
Technology, and Renewable Energy Sources in Meeting Electricity Demand.
Philip Pong, Ph.D., is an Associate Professor of Electrical and Computer Engineering at the New Jersey Institute of Technology, where he is the Director of the Green Technology Research and Training Laboratory and Sensor Research Laboratory. He received a B.Eng. from the University of Hong Kong with 1st class honours, followed by a Ph.D. in engineering at the University of Cambridge. Dr. Pong was a postdoctoral researcher with the Magnetic Materials Group at the National Institute of Standards and Technology in the United States. His research interest currently focuses on developing and applying advanced sensing techniques based on electromagnetic sensors in smart grids, smart cities, and wind power. Dr. Pong is a Fellow of the Institution of Engineering and Technology (FIET), the Institute of Physics (FInstP), the Energy Institute (FEI), the Institute of Materials, Minerals, and Mining (FIMMM), and the Hong Kong Institution of Engineers (FHKIE). He is a chartered physicist (CPhys), a chartered engineer (CEng), a chartered energy engineer, a registered professional engineer (R.P.E. in Electrical, Electronics, Energy), and a Senior Member of the IEEE (SMIEEE). He serves on the editorial boards for several IEEE and SCI journals.
