Cargando…

Decision Making Algorithms for Hydro-Power Plant Location

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 crisi...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Majumder, Mrinmoy (Autor), Ghosh, Soumya (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Singapore : Springer Nature Singapore : Imprint: Springer, 2013.
Edición:1st ed. 2013.
Colección:SpringerBriefs in Energy,
Temas:
Acceso en línea:Texto Completo

MARC

LEADER 00000nam a22000005i 4500
001 978-981-4451-63-5
003 DE-He213
005 20220422164333.0
007 cr nn 008mamaa
008 130607s2013 si | s |||| 0|eng d
020 |a 9789814451635  |9 978-981-4451-63-5 
024 7 |a 10.1007/978-981-4451-63-5  |2 doi 
050 4 |a TJ807-830 
072 7 |a THX  |2 bicssc 
072 7 |a TEC031010  |2 bisacsh 
072 7 |a THV  |2 thema 
082 0 4 |a 621.042  |2 23 
100 1 |a Majumder, Mrinmoy.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
245 1 0 |a Decision Making Algorithms for Hydro-Power Plant Location  |h [electronic resource] /  |c by Mrinmoy Majumder, Soumya Ghosh. 
250 |a 1st ed. 2013. 
264 1 |a Singapore :  |b Springer Nature Singapore :  |b Imprint: Springer,  |c 2013. 
300 |a VI, 73 p. 6 illus.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a SpringerBriefs in Energy,  |x 2191-5539 
505 0 |a Introduction -- Hydro-Power Plants -- Decision Making Procedures -- Nature Based Algorithms -- Case Studies -- Conclusions. 
520 |a 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. 
650 0 |a Renewable energy sources. 
650 0 |a Environmental sciences-Mathematics. 
650 0 |a Energy policy. 
650 0 |a Energy and state. 
650 0 |a Engineering geology. 
650 1 4 |a Renewable Energy. 
650 2 4 |a Mathematical Applications in Environmental Science. 
650 2 4 |a Energy Policy, Economics and Management. 
650 2 4 |a Geoengineering. 
700 1 |a Ghosh, Soumya.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer Nature eBook 
776 0 8 |i Printed edition:  |z 9789814451642 
776 0 8 |i Printed edition:  |z 9789814451628 
830 0 |a SpringerBriefs in Energy,  |x 2191-5539 
856 4 0 |u https://doi.uam.elogim.com/10.1007/978-981-4451-63-5  |z Texto Completo 
912 |a ZDB-2-ENE 
912 |a ZDB-2-SXEN 
950 |a Energy (SpringerNature-40367) 
950 |a Energy (R0) (SpringerNature-43717)