000 03626nam a22005055i 4500
001 978-981-4451-63-5
003 DE-He213
005 20140220082947.0
007 cr nn 008mamaa
008 130607s2013 si | s |||| 0|eng d
020 _a9789814451635
_9978-981-4451-63-5
024 7 _a10.1007/978-981-4451-63-5
_2doi
050 4 _aTJ807-830
072 7 _aTHX
_2bicssc
072 7 _aSCI024000
_2bisacsh
082 0 4 _a621.042
_223
100 1 _aMajumder, Mrinmoy.
_eauthor.
245 1 0 _aDecision Making Algorithms for Hydro-Power Plant Location
_h[electronic resource] /
_cby Mrinmoy Majumder, Soumya Ghosh.
264 1 _aSingapore :
_bSpringer Singapore :
_bImprint: Springer,
_c2013.
300 _aVI, 73 p. 6 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringerBriefs in Energy,
_x2191-5520
505 0 _aIntroduction -- Hydro-Power Plants -- Decision Making Procedures -- Nature Based Algorithms -- Case Studies -- Conclusions.
520 _aThe 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 _aHydraulic engineering.
650 0 _aRenewable energy sources.
650 0 _aEnvironmental sciences.
650 1 4 _aEnergy.
650 2 4 _aRenewable and Green Energy.
650 2 4 _aRenewable and Green Energy.
650 2 4 _aMath. Appl. in Environmental Science.
650 2 4 _aEnergy Policy, Economics and Management.
650 2 4 _aGeoengineering, Foundations, Hydraulics.
700 1 _aGhosh, Soumya.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9789814451628
830 0 _aSpringerBriefs in Energy,
_x2191-5520
856 4 0 _uhttp://dx.doi.org/10.1007/978-981-4451-63-5
912 _aZDB-2-ENE
999 _c100175
_d100175