Geothermal Energy : Engineering Fundamentals, Principles, and Applications
Book Details
Format
Hardback or Cased Book
ISBN-10
104113035X
ISBN-13
9781041130352
Publisher
Taylor & Francis Ltd
Imprint
CRC Press
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Aug 3rd, 2026
Print length
302 Pages
Weight
740 grams
Ksh 16,550.00
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Geothermal Energy: Engineering Fundamentals, Principles, and Applications is a much-needed book that offers a timely, practical, and comprehensive treatment of geothermal energy from the perspective of engineers and applied scientists.
Geothermal Energy: Engineering Fundamentals, Principles, and Applications is a much-needed book that offers a timely, practical, and comprehensive treatment of geothermal energy from the perspective of engineers and applied scientists. Bridging the gap between academic theory and real-world application, the book serves as a technology-transfer tool, providing essential technical information, design methodologies, and illustrative examples for students and professionals alike. Covering topics from basic thermodynamic principles to advanced geothermal applications and environmental considerations, the book is structured to support both learning and on-the-job training. Current and relevant, with an emphasis on pragmatic, calculation-based content in a clear, accessible style, this resource is an indispensable guide for anyone involved in the evolving field of geothermal energy or other sustainable energy systems. Coverage includes:a comprehensive coverage of geothermal energy fundamentals and principles;a review of environmental/economic considerations associated with the various geothermal energy technologies;a practical, engineer-focused approach with real-world applications, design methods, and calculation tools;a review of legal and regulatory concerns;an examination of the potential role of artificial intelligence in the future of this technology;a review of potential investment opportunities in the geothermal field; andillustrative examples and predictive algorithms to support system design and analysis.
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