SpringerBriefs in Energy

Decision Making Algorithms for Hydro-Power Plant Location

Authors: Majumder, Mrinmoy, Ghosh, Soumya

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About this book

The present study has attempted to apply the advantage of neuro-genetic algorithms for optimal decision making in maximum utilization of natural resources. Hydro-power is one of the inexpensive, but a reliable source of alternative energy which is foreseen as the possible answer to the present crisis in the energy sector. However, the major problem related to hydro-energy is its dependency on location. An ideal location can produce maximum energy with minimum loss. Besides, such power-plant also requires substantial amount of land which is a precious resource nowadays due to the rapid and uncontrolled urbanization observed in most of the urban centres in the World. The feasibility of such plants also depends on social acceptance as well as the level of environmental casualty and economic benefit, all of which is also spatially dependent. Decision making algorithms are applied to identify better solution if a problem has more than one alternative explication. Nature based algorithms are found to be efficient enough to catalyze such kind of decision making analysis. That is why the present study tries to utilize nature based algorithms to solve the problems of location selection for hydropower plants. The study employed six different types of nature based algorithms to select one of the locations among many available for installation of hydropower plant in the North Eastern part of the Indian subcontinent. The locations are selected based on their in stream resources and included in the decision making as alternatives. A methodology of criteria selection, determination of weightage and applications of bioinspired algorithms are adopted to produce utmost exertion of the available natural resources with minimum hostility and wastage of the same.

About the authors

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 (7 chapters)

Buy this book

eBook $39.99
price for USA (gross)
  • ISBN 978-981-4451-63-5
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $49.99
price for USA
  • ISBN 978-981-4451-62-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Decision Making Algorithms for Hydro-Power Plant Location
Authors
Series Title
SpringerBriefs in Energy
Copyright
2013
Publisher
Springer Singapore
Copyright Holder
The Author(s)
eBook ISBN
978-981-4451-63-5
DOI
10.1007/978-981-4451-63-5
Softcover ISBN
978-981-4451-62-8
Series ISSN
2191-5520
Edition Number
1
Number of Pages
VI, 73
Number of Illustrations and Tables
6 b/w illustrations
Topics