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Full Description
This book focuses on the usage of geothermal energy in countries with low-enthalpy reservoirs. It begins with the fundamentals of geothermal energy and classification of geothermal resources and their importance, including enhanced geothermal systems (EGS). Further, it discusses the creation, production, potential assessment, perspective analysis, life cycle, and environmental assessments of EGS. It describes applications in the field of geothermal energy with relevant case studies and introduces the application of machine learning techniques in the field of geothermal sectors.
Features:
Focuses on the development of low- to moderate-enthalpy geothermal resources
Introduces machine learning tools and artificial intelligence as applied to geothermal energy
Provides an understanding of geothermal energy resources and EGS
Discusses the possibility of EGS using spallation and laser drilling
Includes stimulation methods (thermal, hydraulic, chemical, and explosive) and case studies
This book is aimed at researchers and graduate students in geology, clean energy, geothermal energy, and thermal engineering.
Contents
1. Introduction to Geothermal Energy Resources. 2. Enhanced Geothermal System. 3. Direct Applications: Application of Geothermal Water for Sericulture, Aquaculture, and Honey Processing. 4. Indirect Applications: Application of Geothermal Water for Milk Pasteurization, Cloth and Food Drying, Desalination, and Space Heating and Cooling. 5. Machine Learning Techniques for Geothermal Energy Sector. 6. Financing in Geothermal Energy Exploration and Exploitation. 7. Impact of Geothermal Energy on Climate Change and Tackling It with Machine Learning.
