Decision Making Algorithms for Hydro-Power Plant Location

Nonfiction, Science & Nature, Science, Physics, Energy, Biological Sciences, Environmental Science, Technology
Cover of the book Decision Making Algorithms for Hydro-Power Plant Location by Mrinmoy Majumder, Soumya Ghosh, Springer Singapore
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Mrinmoy Majumder, Soumya Ghosh ISBN: 9789814451635
Publisher: Springer Singapore Publication: June 6, 2013
Imprint: Springer Language: English
Author: Mrinmoy Majumder, Soumya Ghosh
ISBN: 9789814451635
Publisher: Springer Singapore
Publication: June 6, 2013
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Springer Singapore

Cover of the book Advances in Cyber Security: Principles, Techniques, and Applications by Mrinmoy Majumder, Soumya Ghosh
Cover of the book Foundations of Yoga Psychology by Mrinmoy Majumder, Soumya Ghosh
Cover of the book Sound in the Time Domain by Mrinmoy Majumder, Soumya Ghosh
Cover of the book The Use of First and Second Language in Chinese University EFL Classrooms by Mrinmoy Majumder, Soumya Ghosh
Cover of the book Industrial Safety Management by Mrinmoy Majumder, Soumya Ghosh
Cover of the book Proceedings of the Institute of Industrial Engineers Asian Conference 2013 by Mrinmoy Majumder, Soumya Ghosh
Cover of the book Reflections on Human Inquiry by Mrinmoy Majumder, Soumya Ghosh
Cover of the book Analytic Function Theory of Several Variables by Mrinmoy Majumder, Soumya Ghosh
Cover of the book Motivation in Online Education by Mrinmoy Majumder, Soumya Ghosh
Cover of the book Computer Vision and Audition in Urban Analysis Using the Remorph Framework by Mrinmoy Majumder, Soumya Ghosh
Cover of the book Researching Higher Education in Asia by Mrinmoy Majumder, Soumya Ghosh
Cover of the book Vehicle Suspension Systems and Electromagnetic Dampers by Mrinmoy Majumder, Soumya Ghosh
Cover of the book Manual of Fertility Enhancing Hysteroscopy by Mrinmoy Majumder, Soumya Ghosh
Cover of the book Green Intelligent Transportation Systems by Mrinmoy Majumder, Soumya Ghosh
Cover of the book Intelligent Embedded Systems by Mrinmoy Majumder, Soumya Ghosh
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy