Decision Making Algorithms for Hydro-Power Plant Location

Decision Making Algorithms for Hydro-Power Plant Location

by Mrinmoy Majumder, Soumya Ghosh


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Product Details

ISBN-13: 9789814451628
Publisher: Springer Singapore
Publication date: 06/07/2013
Series: SpringerBriefs in Energy
Edition description: 2013
Pages: 73
Product dimensions: 6.10(w) x 9.25(h) x 0.01(d)

About the Author

Dr. Mrinmoy Majumder is an Assistant Professor in the School of Hydro-Informatics Engineering at the National Institute of Technology Agartala, India. He completed his PhD in 2010 from Jadavpur University. His current research interests are on Hydro-informatics, Natural resource management and Nature based algorithms. He has published more than 25 papers in various national and international journals and has authored 4 books.
Mr. Soumya Ghosh is a Lecturer of Greater Kolkata Institute of Technology and Management, India. He completed his Master of Technology from School of Water Resource Engineering, Jadavpur University in 2010. His current research interests are in the field of renewable energy, tidal power and electrical machines.

Table of Contents

1. Introduction
1.1. Energy Scenario
1.2. Threats to Natural Resources
1.3. Potential of Hydro-energy as a Possible Alternative
1.4. Decision Making Algos
1.5. Objective and Brief Methodology
1.6. Locations Considered as Alternatives
1.6.1. River Chenab
1.6.2. River Danube
1.6.3. River Yukon

2. Hydro Power Plants
2.1. Classification of Hydro-Power Plant
2.1.1. Classification according to Quantity of water
2.1.2. Classification according to availability of water head
2.1.3. Classification according to nature of load
2.2. Advantages of Hydropower Plant
2.3. Disadvantages of Hydropower Plant

3. Decision Making Methodology
3.1. Procedures of Decision Making
3.2. Multi-Attribute Decision Making
3.3. Performance Metrics: KAPPA Coefficient of Agreements
3.3. 1.Interpretation of KAPPA Coefficient of Agreement

4. Nature Based Algorithms
4.1. Artificial Neural Networks
4.2. Genetic Algorithms
4.3. Fuzzy Logic
4.4. BAT Algorithm
4.5. Analytical Hierarchy Process (AHP)
4.5.1. Advantage of the analytical hierarchy process (AHP)
4.5.2. Principle of the analytical hierarchy process (AHP)
4.5.3. Steps of the analytical hierarchy process (AHP)

5.1. Decision Making Factors
5.2. Nature Based Algorithm

6. Result & Discussion

7. Conclusion
7.1. Limitations
7.2 Future scope

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