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How do we heat our homes, light our rooms, and power our cars? With energy! In 2014, the United States relied on fossil fuels for about 67 percent of its power. But as the fossil fuel supply dwindles and climate change becomes an increasingly urgent issue, individuals, businesses, and governments are expanding their sources of renewable energy, including solar, wind, biofuel, hydro, and geothermal. In Renewable Energy: Discover the Fuel of the Future, readers ages 9 to 12 learn about these renewable energy sources and discover how sunshine can be used to power light bulbs and how the earth's natural heat can be used to warm our houses. Young readers weigh the pros and cons of different energy sources and make their own informed opinions about which resources are the best choices for different uses. Renewable energy industries provide a booming field for future scientists and engineers. This book shows kids these future jobs and gets them excited about contributing to a world run on clean energy. Hands-on projects, essential questions, links to online primary sources, and science-minded prompts to think more about energy, the environment, and the repercussions of our choices make this book a key addition to classrooms and libraries.
Quantitative, accessible, multidisciplinary and fully updated, with new coverage of energy storage, microgrids and off-grid systems.
Tells how the people of Danish island of Samso decided to use wind energy to power their lives and became the "Energy Island."
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 The ideas presented in this book are backed up by original, unpublished technical research results covering topics like smart solar energy systems, intelligent dc motors and energy efficiency study of electric vehicles.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
Evaluates trade-offs and uncertainties inherent in achieving sustainable energy, analyzes the major energy technologies, and provides a framework for assessing policy options.
Featuring current information and a practical approach, RENEWABLE ENERGY AND SUSTAINABLE DESIGN combines common forms of renewable energy with green building practices, offering an exciting and engaging introduction to this field. Focusing on both the theory and practice of producing electrical energy from non-fossil fuel sources, this book evaluates different types of building materials and design options while assessing available forms of renewable energy--including solar, wind, hydro, biomass, tidal and geothermal. By examining the benefits and limitations involved in harnessing each of these renewable energies, this book seeks to provide you with an objective and informed viewpoint, with the ultimate purpose of minimizing harmful impacts on individuals, communities, and the environment. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
As the world grapples with the urgent need for sustainable energy solutions, the limitations of traditional approaches to renewable energy forecasting become increasingly evident. The demand for more accurate predictions in net load forecasting, line loss predictions, and the seamless integration of hybrid solar and battery storage systems is more critical than ever. In response to this challenge, advanced Artificial Intelligence (AI) techniques are emerging as a solution, promising to revolutionize the renewable energy landscape. Machine Learning and Computer Vision for Renewable Energy presents a deep exploration of AI modeling, analysis, performance prediction, and control approaches dedicated to overcoming the pressing issues in renewable energy systems. Transitioning from the complexities of energy prediction to the promise of advanced technology, the book sets its sights on the game-changing potential of computer vision (CV) in the realm of renewable energy. Amidst the struggle to enhance sustainability across industries, CV technology emerges as a powerful ally, collecting invaluable data from digital photos and videos. This data proves instrumental in achieving better energy management, predicting factors affecting renewable energy, and optimizing overall sustainability. Readers, including researchers, academicians, and students, will find themselves immersed in a comprehensive understanding of the AI approaches and CV methodologies that hold the key to resolving the challenges faced by renewable energy systems.
"Wind Energy for the Rest of Us is a sprawling book. It's not just about small wind turbines. It's not just about large wind turbines. It's about the depth and breadth of wind energy, including water-pumping windmills and sailing ships. From how to install small wind turbines safely to how farmers in Indiana can earn millions of dollars in revenue by installing their own multimegawatt wind turbines, it's a book hard to categorize. This suits Paul Gipe. He likes to think he's hard to categorize after four decades in renewable energy. His book tells the story of modern wind energy in all its complexity and introduces electricity rebels for the first time-- the trailblazers who have launched a renewable energy revolution by taking power into their own hands."--
This second edition of Principles of Solar Engineering covers the latest developments in a broad range of topics of interest to students and professionals interested in solar energy applications. With the scientific fundamentals included, the book covers important areas such as heating and cooling, passive solar applications, detoxification and biomass energy conversion. This comprehensive textbook provides examples of methods of solar engineering from around the world and includes examples, solutions and data applicable to international solar energy issues. A solutions manual is available to qualified instructors.
Technological Learning in the Transition to a Low-Carbon Energy System: Conceptual Issues, Empirical Findings, and Use in Energy Modeling quantifies key trends and drivers of energy technologies deployed in the energy transition. It uses the experience curve tool to show how future cost reductions and cumulative deployment of these technologies may shape the future mix of the electricity, heat and transport sectors. The book explores experience curves in detail, including possible pitfalls, and demonstrates how to quantify the 'quality' of experience curves. It discusses how this tool is implemented in models and addresses methodological challenges and solutions. For each technology, current market trends, past cost reductions and underlying drivers, available experience curves, and future prospects are considered. Electricity, heat and transport sector models are explored in-depth to show how the future deployment of these technologies-and their associated costs-determine whether ambitious decarbonization climate targets can be reached - and at what costs. The book also addresses lessons and recommendations for policymakers, industry and academics, including key technologies requiring further policy support, and what scientific knowledge gaps remain for future research.