Reinventing the Power Grid

重塑电网:可再生能源、存储与电网现代化

原   价:
2040
售   价:
1632.00
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作      者
出  版 社
出版时间
2024年11月27日
装      帧
精装
ISBN
9781032685953
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页      码
610
语      种
英文
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库存 30 本
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图书简介
In this comprehensive guide for practicing engineers and students, Ertugrul explains the field of renewable energy and distributed generation tech*logies and describes the transformation occurring in power grids due to the rise of renewable energy sources and emerging tech*logies.This book covers key areas such as the status of grid transformation, photovoltaic (PV) solar energy, wind energy systems, distributed energy resources, microgrids, grid-scale and domestic battery storage systems, e-mobility and emerging distributed energy tech*logies. The text presents an equilibrium between theoretical concepts and practical applications, with each chapter emphasizing both theory and practical application. Each chapter commences with a lucid explanation of the subject matter, which is then succeeded by an investigation into its real-world applications and implications. Supplementary material is also provided, such as real wind data files, PV data files and Matrix Laboratory (MATLAB®) and Excel codes. This includes a sample real data set from grid-scale auto*mous microgrid test platforms and household, distribution and transmission-level power system data. The book also incorporates a section consisting of problems, quizzes and solutions. This element prompts the reader to put the theoretical k*wledge to use in addressing real-world challenges, thereby cultivating a more in-depth grasp of the *ic. Through this in-depth approach, readers will be able to apply their comprehensive k*wledge and practical understanding to decision-making regarding future challenges in the energy industry.This book is an invaluable guide for professionals working in the field, particularly those who aim to stay updated on the latest tech*logies and trends. Undergraduate and postgraduate students will also benefit from the book’s comprehensive approach and inclusion of real-world data and problems to solve, which will build their expertis
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