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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.
Table des matières
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.
