Minimization of Climatic Vulnerabilities on Mini-hydro Power by Mrinmoy Majumder PDF

By Mrinmoy Majumder

This short provides the multi standards selection making (MCDM) options like Fuzzy Analytical Hierarchy technique (AHP) and Fuzzy Analytical community strategy (ANP) to determine the significance of the influencing elements to strengthen the Climatic Vulnerability Index (CVI) that might characterize the vulnerability of the Hydro-Power Plant (HPP) to climatic abnormalities. The cognitive skill of neuro-genetic modeling is utilized to reduce CVI in order that the stipulations required to minimize the influence of weather swap on HPP will be pointed out. the consequences from the learn are stumbled on to be encouraging. The shortage and pollutants strength of traditional resources of power has enforced scientists world wide to seem for effective, versatile, low-priced yet trustworthy replacement strength assets. between many to be had strategies the strength extracted from water used to be discovered to be the lowest priced, such a lot versatile and reasonably trustworthy renewable power resource which has the aptitude to interchange the dependency on traditional fuels.

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Extra resources for Minimization of Climatic Vulnerabilities on Mini-hydro Power Plants: Fuzzy AHP, Fuzzy ANP Techniques and Neuro-Genetic Model Approach

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Accessed 17 Jan 2016 Semeraro T, Mastroleo G, Aretano R, Facchinetti Gisella, Zurlini Giovanni, Petrosillo Irene (2016) GIS Fuzzy Expert System for the assessment of ecosystems vulnerability to fire in managing Mediterranean natural protected areas. J Environ Manage 168:94–103 Seni G, Elder JF (2010) Ensemble methods in data mining: improving accuracy through combining predictions. Synth Lect Data Mining Knowl Discov 2(1):1–126 Singh RP, Hans PN (2016) Analytical hierarchy process (AHP) application for reinforcement of hydropower strategy in Nepal.

9 Figure showing the comparison between observed and predicted output for model I5TGNH9 40 6 Results and Discussions Fig. 10 Figure showing the comparison between observed and predicted output for model I5TGNC10 Fig. 11 Figure showing the comparison between observed and predicted output for model I3TGNN10 6 Results and Discussions 41 Fig. 12 Figure showing the comparison between observed and predicted output for model I3TGNL10 Fig. 13 Figure showing the comparison between observed and predicted output for model I3TGNE11 42 6 Results and Discussions Fig.

From the results it was found that Operating, Maintenance and Income per unit along with flow and head will mostly be influenced by climatic vulnerability. The Group Method of Data Handling was used to establish a relationship between the output indicator and input parameters. An accuracy level of above 99 % was achieved and the model trained with GMDH where output is transformed by Arc Tangent function was found to be the better model among all the models considered in the study. The optimal ration was identified with the help of the same model and as per the ration it was found that if efficiency of the electro-mechanical equipments and hydraulic structures can be increased or maintained at a steady level impact of climate change on plant performance will be minimum.

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