1st Edition

Geothermal Energy
Utilization, Technology and Financing



  • Available for pre-order. Item will ship after March 23, 2022
ISBN 9781032069470
March 23, 2022 Forthcoming by CRC Press
200 Pages 19 B/W Illustrations

USD $120.00

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Book Description

This book focuses on usage of geothermal energy in countries with low enthalpy reservoirs. It initiates with the fundamentals of geothermal energy, classification of geothermal resources and their importance including Enhanced Geothermal Systems (EGS). Further, it discusses creation, production, potential assessment, perspective analysis, life cycle and environment 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:

  • Focusses on development of low- to moderate geothermal resources.
  • Introduces machine learning tools and artificial intelligence, as applied to geothermal energy.
  • Provides understanding of Geothermal Energy Resources and Enhanced Geothermal Systems.
  • Discusses possibility of Enhanced Geothermal System using spallation and laser drilling.
  • Includes stimulation methods (thermal, hydraulic, chemical, and explosive) and case studies.

This book aims at researchers and graduate students in Geology, Clean Energy, Geothermal Energy and Thermal Engineering.                                                                 

Table of Contents

Chapter 1- Introduction to Geothermal Energy Resources
1.1 Basic Concepts and Classification of Geothermal Resources
1.2 Thermal properties of rocks
1.3 Geothermal technology of world
1.4 Geothermal energy potential of India
1.5  Steps to promote Geothermal energy in India
1.6 Zoning of Geothermal provinces in India
1.7 Some financial models of countries exploiting Geothermal energy
References

Chapter 2- Enhanced Geothermal System
2.1 Introduction to EGS
2.2 Issues and Challenges for Subsurface designing of EGS systems
2.3 Geothermal Drilling Technology for ESG
2.4 Power Production and Hydraulic Simulation for EGS
2.5 Influence of Micro-seismic in EGS
References

Chapter 3- Direct Applications: Application of Geothermal water for Sericulture, Aquaculture and Honey Processing
3.1 Directs Applications of Geothermal Energy in World
3.2 Application of geothermal water for Sericulture
3.3 Application of geothermal water for Aquaculture
3.4 Application of geothermal water for Honey Processing
3.5 Case studies 
References

Chapter 4- Indirect Applications: Application of Geothermal water for Milk Pasteurization, Cloth & Food Drying, Desalination and Space Heating and Cooling
4.1 Indirect Application of Geothermal Water in World
4.2 Application of geothermal water for Milk Pasteurization
4.3 Application of geothermal water for Cloth and Food Drying
4.4 Application of geothermal water for Desalination
4.5 Application of geothermal water for Space Heating and Cooling
4.6 Case Studies
References

Chapter 5- Machine Learning Techniques for Geothermal Energy Sector
5.1 Introduction to Machine Learning Technique
5.2 Application of Machine Learning Technique in estimation of Geothermal temperature distribution
5.3 Subsurface Characterization using Machine Learning Technique
5.4 Application of Machine Learning Technique in Geothermal Drilling
5.5 Application of Machine Learning Technique in Reservoir Modelling
5.6 Application of Machine Learning Technique in Geothermal Power Generation
5.7 Challenges and Issues in adapting Machine Learning for geothermal energy sector
5.8 Case Studies
References

Chapter 6- Financing in Geothermal Energy Sector
6.1 Introduction
6.2 Sources of Funding for geothermal projects in India
6.3 Economic Drivers of a Geothermal Project
6.4 Basic structure of a Financial model
6.5 Financial Funding in various countries:
References

Chapter 7- Impact of Geothermal Energy on Climate Change and Tackling it with Machine Learning
7.1 Introduction to Climate change
7.2 Mitigation and Geothermal Energy
7.3 Factors influencing the adaptation and mitigation
7.4 Application of Machine Learning in Climate Change mitigation
References

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Author(s)

Biography

Dr. Kriti Yadav

Dr. Kriti Yadav is a Project Coordinator at Centre of Excellence for Geothermal Energy, Pandit Deendayal Energy University. Dr. Kriti Yadav has worked as assistant professor at School of Petroleum Technology, Pandit Deendayal Energy University from period January, 2017 to June, 2017. She has also served Centre of Excellence for Geothermal energy as research associate and research scientist. She has Bachelor’s and Master’s degree in geology from Patna University. She has doctoral degree from School of Petroleum Technology entitled Exploration of Geothermal Hot Spots in Gujarat, India. She has also earned diploma in geothermal utilization from UNESCO, GRO-GTP, Reykjavik, Iceland Program in year 2021. The area of research interest of Dr. Kriti are in the field of exploration, geology, natural gas and city gas distribution. Dr. Kriti has published several papers in national and international journals along with conferences. She has published four books in the field of geothermal and city gas distribution. She has published several technical design patents. She has also served as reviewer in several reputed journals of Springer and Elsevier.

Dr. Anirbid Sircar

Dr Anirbid Sircar is the Dean -Research and Development of Pandit Deendayal Energy University (PDEU), India. He served the University as a Director of School of Petroleum Technology, PDEU and Director General of the mother Institute GERMI. Before joining PDEU Dr. Sircar worked for Oil and Gas Industries such as L&T, Tullow Oil, HPCL, Enpro and Jubilant Energy.

Research interest of Dr Sircar is Petroleum Exploration, Geothermal Energy along with Natural Gas and City Gas Distribution. He is a Professor in School of Petroleum Technology and serving as Head of Centre of Excellence for Geothermal Energy. Dr. Sircar acted as a member of task force on Geothermal Energy established by Ministry of New Renewable Energy, Government of India.

Dr. Sircar did his undergraduate in Exploration Geophysics from IIT Kharagpur and M Tech in Petroleum Exploration from IIT ISM Dhanbad. He received his PhD degree in Tomography from same Institute. He has successfully guided 34 M. Tech students and 9 PhD students. He has also completed seven funded projects. Dr Sircar published 126 papers in national and international journals, authored four books and has seven granted patents. He has also been reviewer to several reputed journals of Taylor and Francis, Springer and Elsevier.

Mr. Apurwa Yadav

Apurwa Yadav is a Computer Engineer from silver Oak college of engineering and technology. Since 2018 he has been working as an independent researcher in the field of AI. He has published several research papers in various reputed journals like springer and Elsevier. In addition, he has also had the honour to present his work on a platform like 45th Stanford geothermal workshop held by Stanford University. His areas of interest include machine learning and deep learning techniques like computer vision, natural language processing, transfer learning etc. He has worked in the field of data science as well as software engineer.