Decision Making Algorithms for Hydro-Power Plant Location by Mrinmoy Majumder (E

Description: Decision Making Algorithms for Hydro-Power Plant Location by Mrinmoy Majumder, Soumya Ghosh The present study has attempted to apply the advantage of neuro-genetic algorithms for optimal decision making in maximum utilization of natural resources. That is why the present study tries to utilize nature based algorithms to solve the problems of location selection for hydropower plants. FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher Description 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. Back Cover 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. Author Biography 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 Introduction.- Hydro-Power Plants.- Decision Making Procedures.- Nature Based Algorithms.- Case Studies.- Conclusions. Feature Includes supplementary material: sn.pub/extras Details ISBN9814451622 Author Soumya Ghosh Short Title DECISION MAKING ALGORITHMS FOR Language English ISBN-10 9814451622 ISBN-13 9789814451628 Media Book Format Paperback Year 2013 Imprint Springer Verlag, Singapore Place of Publication Singapore Country of Publication Singapore DEWEY 333.9140151 Pages 73 Edition 2013th Illustrations 6 Illustrations, black and white; VI, 73 p. 6 illus. DOI 10.1007/978-981-4451-63-5 Publication Date 2013-06-14 Publisher Springer Verlag, Singapore Edition Description 2013 ed. Series SpringerBriefs in Energy Audience Professional & Vocational We've got this At The Nile, if you're looking for it, we've got it. 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