Minimization of Climatic Vulnerabilities on Mini-hydro Power Plants (eBook)
X, 105 Seiten
Springer Singapore (Verlag)
978-981-287-314-9 (ISBN)
This Brief presents the multi criteria decision making (MCDM) techniques like Fuzzy Analytical Hierarchy Process (AHP) and Fuzzy Analytical Network Process (ANP) to find out the importance of the influencing factors to develop the Climatic Vulnerability Index (CVI) that will represent the vulnerability of the Hydro-Power Plant (HPP) to climatic abnormalities. The cognitive ability of neuro-genetic modeling is applied to minimize CVI so that the conditions required to reduce the effect of climate change on HPP can be identified. The results from the study are found to be encouraging. The scarcity and pollution potential of conventional sources of energy has enforced scientists worldwide to look for efficient, flexible, cost effective but reliable alternative energy resources. Among many available options the energy extracted from water was found to be the least expensive, most flexible and moderately reliable renewable energy source which has the potential to replace the dependency on conventional fuels.
Dr. Mrinmoy Majumder is presently working as an Assistant Professor in the School of Hydro-Informatics Engineering at the National Institute of Technology, Agartala, India. He has published over 25 research papers in international journals and has published five books with international publishers.
This Brief presents the multi criteria decision making (MCDM) techniques like Fuzzy Analytical Hierarchy Process (AHP) and Fuzzy Analytical Network Process (ANP) to find out the importance of the influencing factors to develop the Climatic Vulnerability Index (CVI) that will represent the vulnerability of the Hydro-Power Plant (HPP) to climatic abnormalities. The cognitive ability of neuro-genetic modeling is applied to minimize CVI so that the conditions required to reduce the effect of climate change on HPP can be identified. The results from the study are found to be encouraging. The scarcity and pollution potential of conventional sources of energy has enforced scientists worldwide to look for efficient, flexible, cost effective but reliable alternative energy resources. Among many available options the energy extracted from water was found to be the least expensive, most flexible and moderately reliable renewable energy source which has the potential to replace the dependency on conventional fuels.
Dr. Mrinmoy Majumder is presently working as an Assistant Professor in the School of Hydro-Informatics Engineering at the National Institute of Technology, Agartala, India. He has published over 25 research papers in international journals and has published five books with international publishers.
Preface 6
Acknowledgements 8
Contents 9
1 Introduction 11
Abstract 11
1.1 Objective 12
1.2 Methods and Materials 12
1.3 Brief Methodology 14
1.4 Case Study Area 14
References 14
2 Hydropower Plant 16
Abstract 16
2.1 Types of Hydropower Plant 17
2.1.1 Impoundment 17
2.1.2 Diversion 18
2.1.3 Pumped Storage 18
2.1.4 Large Hydropower 18
2.1.5 Small Hydropower 18
2.1.6 Micro Hydropower 18
2.2 Strength and Weakness 19
2.3 Climatic Vulnerabilities 19
References 20
3 Climate Change and Its Impacts 21
Abstract 21
3.1 Impact on Global Water Scenario 21
3.2 Impact on Global Energy Scenario 24
References 24
4 Multi Criteria Decision Making and Group Method of Data Handling 26
Abstract 26
4.1 Multi Criteria Decision Making Methods 26
4.1.1 Application of MCDM in Climate Change and Hydro Energy Research 27
4.2 Group Method of Data Handling 30
References 30
5 Methodology 32
Abstract 32
5.1 Application of MCDM Methods 32
5.2 Development of the Weight Function 33
5.3 Application of GMDH as an Optimizer 34
5.4 Case Study: Gumati Hydro Power Plant (GHPP) 36
References 36
6 Results and Discussion 37
Abstract 37
6.1 Discussions 61
6.2 Scientific Benefits 62
6.3 Limitations 62
7 Conclusion 109
Abstract 109
7.1 Drawbacks of the Study 110
7.2 Future Scope 111
Erscheint lt. Verlag | 2.3.2016 |
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Reihe/Serie | SpringerBriefs in Energy | SpringerBriefs in Energy |
Zusatzinfo | X, 105 p. 45 illus., 1 illus. in color. |
Verlagsort | Singapore |
Sprache | englisch |
Themenwelt | Naturwissenschaften ► Geowissenschaften ► Meteorologie / Klimatologie |
Technik ► Elektrotechnik / Energietechnik | |
Wirtschaft | |
Schlagworte | Climate Change Impact Index • Climate change impacts • Climatic Vulnerability Index • Fuzzy Analytical Hierarchy Process • Fuzzy Analytical Network Process • Hydro-energy Potential • Mini-hydro Power Plant • Multi Criteria Decision Analysis • Neural networks • Neuro-Genetic Model • water industry and water technology |
ISBN-10 | 981-287-314-7 / 9812873147 |
ISBN-13 | 978-981-287-314-9 / 9789812873149 |
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