Iot Enabled Dc Microgrids
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IoT Enabled-DC Microgrids
Smart grid is a new generation of power grids that is expected to enhance its reliability and reduce carbon footprint by integrating distributed resources. Microgrid technology allows the integration of renewable energies, which come in three modes: AC, DC, or hybrid. The increasing number of DC loads, the need to reduce power loss in converting DC power to AC, and the existence of DC storage units have favored the adoption of DC microgrids. The electrification of the transportation sector has further supported the adoption of DC microgrids. A DC microgrid system comprises renewable resources, DC storage elements, DC loads, and intelligent electrical devices. It has gained interest due to its efficiency, scalability, and cost-effectiveness. DC microgrids play a crucial role in powering diverse applications such as data centers, residential areas, base stations, and electric vehicle charging stations. This book covers the design, control, and management of DC microgrids in both islanded and grid-connected modes. It focuses on ICT infrastructure, security, sensors, embedded systems, machine learning algorithms, edge/fog computing, and the socio-economic impact.
IoT-Enabled Energy Efficiency Assessment of Renewable Energy Systems and Micro-grids in Smart Cities
This book embarks on a transformative exploration of sustainable urban development, integrating Internet of Things (IoT) technologies in energy efficiency assessments of renewable energy systems and microgrids within smart cities. This work transcends conventional approaches, seamlessly blending theoretical insights with practical applications, and prioritizing real-time, IoT-enabled assessments for optimal energy utilization. Evolving the understanding of renewable energy systems and microgrids, the book distinguishes itself through its hands-on application of IoT technologies. It not only delves into theoretical aspects but also equips readers with actionable insights, guiding the implementation of IoT for informed decision-making in the dynamic landscape of smart city environments. From IoT sensor deployment strategies to data analytics techniques and practical considerations, the book's expansive scope offers a comprehensive roadmap for creating resilient and efficient energy ecosystems. Tailored for professionals, researchers, and policymakers in energy management, urban planning, and IoT technology, this resource speaks to a diverse audience. Whether the reader is an engineer aiming to optimize microgrid performance or a policymaker driving urban sustainability, the book provides indispensable insights. It serves as a compass, informing city planners on energy-efficient infrastructure, guiding researchers in developing impactful IoT applications, and assisting policymakers in formulating forward-thinking, eco-friendly regulations. In a world embracing smart technologies, this book emerges as an essential guide, steering stakeholders toward a future where the seamless integration of energy efficiency and IoT defines the landscape of truly smart and sustainable cities.
Applications of AI and IOT in Renewable Energy
Applications of AI and IOT in Renewable Energy provides a future vision of unexplored areas and applications for Artificial Intelligence and Internet of Things in sustainable energy systems. The ideas presented in this book are backed up by original, unpublished technical research results covering topics like smart solar energy systems, intelligent dc motors and energy efficiency study of electric vehicles. In all these areas and more, applications of artificial intelligence methods, including artificial neural networks, genetic algorithms, fuzzy logic and a combination of the above in hybrid systems are included. This book is designed to assist with developing low cost, smart and efficient solutions for renewable energy systems and is intended for researchers, academics and industrial communities engaged in the study and performance prediction of renewable energy systems. Includes future applications of AI and IOT in renewable energy Based on case studies to give each chapter real-life context Provides advances in renewable energy using AI and IOT with technical detail and data