Performance Enhancement and Control of Photovoltaic Systems brings together the latest advances in photovoltaic control and integration, with various embedded technologies applied to stand alone and grid connected systems, in normal and abnormal operating conditions, with new approaches intended to overcome a number of critical limitations in using PV technology. The book begins by introducing modern photovoltaic (PV) systems, system integration, materials, and thermodynamic analysis for improved performance, before examining applications in industrial processes, artificial neural network technology, and economic analysis of PV systems. In-depth chapters then demonstrate the use of advanced control and optimization techniques, covering the use of new embedded technologies, through different applications such as MPPT controllers, solar trackers, cleaning systems, cooling systems, and monitoring systems. Applications of photovoltaic energy systems in distributed generation, microgrid, and smart grid systems will be considered. This book is of interest to all those with an interest in photovoltaics, control, embedded systems, and renewable energy, including researchers, scientists, advanced students, engineers, R&D professionals, and other industry personnel. - Presents the latest materials and thermodynamic analysis techniques for improved PV performance - Provides detailed descriptions and analyses of embedded systems and digital technologies - Explores industrial applications that are supported by case studies and practical examples

The World Renewable Energy Congress is a key event at the start of the 21st century.It is a vital forum for researchers with an interest in helping renewables to reach their full potential. The effects of global warming and pollution are becoming more apparent for all to see - and the development of renewable solutions to these problems is increasingly important globally.If you were unable to attend the conference, the proceedings will provide an invaluable comprehensive summary of the latest topics and papers.

The future of energy production, operation and management in a changing world is a major global topic. The papers contained in this volume were presented at the 4th International Conference on Energy Production and Management - The Quest for Sustainable Energy and focus on the comparison of conventional energy sources, particularly hydrocarbons, with a number of other ways of producing energy, such as new technological developments based on renewable resources such as solar, hydro, wind and geothermal. A key issue is the conversion of new sustainable sources of energy into useful forms (electricity, heat, fuel), while finding efficient ways of storage and distribution. In many cases the challenges lie as much with production of such renewable energy at an acceptable cost, including damage to the environment, as with integration of those resources into the existing infrastructure. This book features research on the ways in which more efficient use can be made of both conventional and new energy sources. This relates to savings in energy consumption, reduction of energy losses, as well as the implementation of smart devices and the design of intelligent distribution networks. Various topics are covered including: Energy and the city; Energy security; Energy distribution; Energy networks; Processing of oil and gas emissions; Pipelines; Renewable energies; Energy use in building; Tight energy fields; Energy and climate change; Biomass and biofuels; Environmental sustainability; Energy business; LNG.

International Conference on Energy Management & Renewable Resources has been a premium forum for presenting recent advances in renewable based energy systems, smart applications of power electronic devices in modern grid systems and AI based control over energy management areas. IEMRE2022 has been an excellent platform to collaborate and showcase high-end research giving exposure to interact with the eminent Professors, Technocrats, Scientists, Administrators and Students throughout the world by the latest innovations in the field of Renewable Energy and Energy Management with their applications in worldwide energy sectors. IEMRE 2022 was organized by Department of EEE & EE of Institute of Engineering & Management, Kolkata, India for three days in online mode with invited lectures by outstanding speakers from all over the world on emerging areas in the field of renewable energy. This book is a collection of select papers from the conference.

This book provides a clear explanation of how to apply artificial intelligence (AI) to solve the challenges in solar photovoltaic technology. It introduces readers to new AI-based approaches and technologies that help manage and operate solar photovoltaic systems effectively. It also motivates readers to find new AI-based solutions for these challenges by providing a comprehensive collection of findings on AI techniques. It covers important topics including solar irradiance variability, solar power forecasting, solar irradiance forecasting, maximum power point tracking, hybrid algorithms, swarm optimization, evolutionary optimization, sensor-based sun- tracking systems, single-axis and dual-axis sun-tracking systems, smart metering, frequency regulation using AI, emerging multilevel inverter topologies, and voltage and reactive power control using AI. This book is useful for senior undergraduate students, graduate students, and academic researchers in areas such as electrical engineering, electronics and communication engineering, computer science, and renewable energy.

This book presents the proceedings of the 5th International Conference on Electrical, Control & Computer Engineering 2019, held in Kuantan, Pahang, Malaysia, on 29th July 2019. Consisting of two parts, it covers the conferences’ main foci: Part 1 discusses instrumentation, robotics and control, while Part 2 addresses electrical power systems. The book appeals to professionals, scientists and researchers with experience in industry.The conference provided a platform for professionals, scientists and researchers with experience in industry.

This book describes the energy management concepts, energy audit principles, resource efficiency, and other energy conservation opportunities involved in different sectors across varied industries. Real-time case studies from various large industrial sectors, like cement, paper and pulp, refineries, manufacturing, garments and textile processing, power plants, and other MSME industrial sectors with cross functional energy conservation opportunities, are included. It also describes the future scope of energy auditing and management including IoT and data analytics. It also helps to gather the energy generated and utilization, energy conservation, and other process related data. Features: Provides entire coverage of energy management and audit concepts Explores energy audit methodologies and energy saving initiatives Incorporates current technologies like machine learning, IoT, data analytics in energy audit for reliability improvement Includes case studies covering detailed energy saving calculation with investment pay back calculations This book is aimed at researchers, professionals, and graduate students in electrical engineering, power systems, energy systems, and renewable energy.

Handbook of Thermal Management Systems: e-Mobility and Other Energy Applications is a comprehensive reference on the thermal management of key renewable energy sources and other electronic components. With an emphasis on practical applications, the book addresses thermal management systems of batteries, fuel cells, solar panels, electric motors, as well as a range of other electronic devices that are crucial for the development of sustainable transport systems. Chapters provide a basic understanding of the thermodynamics behind the development of a thermal management system, update on Batteries, Fuel Cells, Solar Panels, and Other Electronics, provide a detailed description of components, and discuss fundamentals. Dedicated chapters then systematically examine the heating, cooling, and phase changes of each system, supported by numerical analyses, simulations and experimental data. These chapters include discussion of the latest technologies and methods and practical guidance on their application in real-world system-level projects, as well as case studies from engineering systems that are currently in operation. Finally, next-generation technologies and methods are discussed and considered. - Presents a comprehensive overview of thermal management systems for modern electronic technologies related to energy production, storage and sustainable transportation - Addresses the main bottlenecks in the technology development for future green and sustainable transportation systems - Focuses on the practical aspects and implementation of thermal management systems through industrial case studies, real-world examples, and solutions to key problems

This book discusses various artificial intelligence and machine learning applications concerning smart buildings. It includes how renewable energy sources are integrated into smart buildings using suitable power electronic devices. The deployment of advanced technologies with monitoring, protection, and energy management features is included, along with a case study on automation. Overall, the focus is on architecture and related applications, such as power distribution, microgrids, photovoltaic systems, and renewable energy aspects. The chapters define smart building concepts and their related benefits. FEATURES Discusses various aspects of the role of the Internet of things (IoT) and machine learning in smart buildings Explains pertinent system architecture and focuses on power generation and distribution Covers power-enabling technologies for smart cities Includes photovoltaic system-integrated smart buildings This book is aimed at graduate students, researchers, and professionals in building systems engineering, architectural engineering, and electrical engineering.

This book highlights the state-of-the-art research on data usage, security, and privacy in the scenarios of the Internet of Things (IoT), along with related applications using Machine Learning and Big Data technologies to design and make efficient Internet-compatible IoT systems. ICT and Data Sciences brings together IoT and Machine Learning and provides the careful integration of both, along with many examples and case studies. It illustrates the merging of two technologies while presenting basic to high-level concepts covering different fields and domains such as the Hospitality and Tourism industry, Smart Clothing, Cyber Crime, Programming, Communications, Business Intelligence, all in the context of the Internet of Things. The book is written for researchers and practitioners, working in Information Communication Technology and Computer Science.