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010   $a981-287-314-7
024 7 $a10.1007/978-981-287-314-9
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035   $a(DE-He213)978-981-287-314-9
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100   $a20160302d2016      u|         0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aMinimization of Climatic Vulnerabilities on Mini-hydro Power Plants $eFuzzy AHP, Fuzzy ANP Techniques and Neuro-Genetic Model Approach /$fby Mrinmoy Majumder
205   $a1st ed. 2016.
210  1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2016.
215   $a1 online resource (111 p.)
225 1 $aSpringerBriefs in Energy,$x2191-5520
300   $aDescription based upon print version of record.
311   $a981-287-313-9 
320   $aIncludes bibliographical references at the end of each chapters.
327   $aIntroduction -- Hydropower Plants -- Climate Change and Its Impacts -- Multi Criteria Decision Making and Group Method of Data Handling -- Methodology -- Results and Discussion_CVI -- Conclusion.
330   $aThis Brief presents the multi criteria decision making (MCDM) techniques like Fuzzy Analytical Hierarchy Process (AHP) and Fuzzy Analytical Network Process (ANP) to find out the importance of the influencing factors to develop the Climatic Vulnerability Index (CVI) that will represent the vulnerability of the Hydro-Power Plant (HPP) to climatic abnormalities. The cognitive ability of neuro-genetic modeling is applied to minimize CVI so that the conditions required to reduce the effect of climate change on HPP can be identified. The results from the study are found to be encouraging. The scarcity and pollution potential of conventional sources of energy has enforced scientists worldwide to look for efficient, flexible, cost effective but reliable alternative energy resources. Among many available options the energy extracted from water was found to be the least expensive, most flexible and moderately reliable renewable energy source which has the potential to replace the dependency on conventional fuels.
410  0$aSpringerBriefs in Energy,$x2191-5520
606   $aRenewable energy resources
606   $aClimate change
606   $aEnergy systems
606   $aEconomic growth
606   $aWater-supply
606   $aRenewable and Green Energy$3https://scigraph.springernature.com/ontologies/product-market-codes/111000
606   $aClimate Change/Climate Change Impacts$3https://scigraph.springernature.com/ontologies/product-market-codes/313000
606   $aEnergy Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/115000
606   $aEconomic Growth$3https://scigraph.springernature.com/ontologies/product-market-codes/W44000
606   $aWater Industry/Water Technologies$3https://scigraph.springernature.com/ontologies/product-market-codes/214000
615  0$aRenewable energy resources.
615  0$aClimate change.
615  0$aEnergy systems.
615  0$aEconomic growth.
615  0$aWater-supply.
615 14$aRenewable and Green Energy.
615 24$aClimate Change/Climate Change Impacts.
615 24$aEnergy Systems.
615 24$aEconomic Growth.
615 24$aWater Industry/Water Technologies.
676   $a621.312134
700   $aMajumder$b Mrinmoy$4aut$4http://id.loc.gov/vocabulary/relators/aut$0875357
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910253986203321
996   $aMinimization of Climatic Vulnerabilities on Mini-hydro Power Plants$91954348
997   $aUNINA