Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/478058
Title: Assessment of clean energy potential in india using multi criteria decision analysis
Researcher: Venkatraman I
Guide(s): Nalin Kant Mohanty
Keywords: Clean Energy
Swot Factors
Techno-Economic Aspects
University: Anna University
Completed Date: 2022
Abstract: India has an ambitious target to promote clean energy penetration newlinebut as of 2021, the electricity mix of India is dominated by coal to about 71%. newlineIndia has ambitious goals to increase renewable energy penetration and newlinesignificant progress has been made since 2017. However, the Indian energy newlinemix is highly dominated by fossil fuels. This study is propounded to assess newlinethe clean energy transition potential with a focused analysis on seven major newlinepower-producing states of India. These states include Maharashtra, Gujarat, newlineTamil Nadu, Uttar Pradesh, Karnataka, Madhya Pradesh, and Andhra newlinePradesh. Therefore, analyzing the clean energy potential and the ability of the newlineindividual state to entrench energy transition in the upcoming years will be newlinesupportive for policymakers and also the study is put forward to delineate the newlinecurrent scenario of energy transition in India and to direct the energy sector newlinetowards a prospective scenario for accomplishing a smooth energy transition. newlineTo set India on the pathway of the energy transition, a comprehensive newlineanalysis of complex factors influencing the Indian energy sector is required. newlineThe clean energy transition potential assessment is performed by newlineutilizing multi-criteria decision analysis methodology such as Technique for newlineOrder Preference by Similarity to Ideal Solution and Multi-Objective newlineOptimization Method by Ratio Analysis. Further, the analysis is performed newlineagainst four major criteria that include high carbon energy resource newlinedependency, low carbon energy resource dependency, clean energy potential newlineand policy support. Altogether the assessment criteria include four primary newlinelevel criteria and fourteen secondary level parameters. newline
Pagination: xv,142p.
URI: http://hdl.handle.net/10603/478058
Appears in Departments:Faculty of Electrical Engineering

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02_prelimpages.pdf6.54 MBAdobe PDFView/Open
03_contents.pdf9.14 kBAdobe PDFView/Open
04_abstracts.pdf6.54 kBAdobe PDFView/Open
05_chapter1.pdf34.61 kBAdobe PDFView/Open
06_chapter2.pdf51.25 kBAdobe PDFView/Open
07_chapter3.pdf227.34 kBAdobe PDFView/Open
08_chapter4.pdf297.53 kBAdobe PDFView/Open
09_chapter5.pdf361.33 kBAdobe PDFView/Open
10_chapter6.pdf220.36 kBAdobe PDFView/Open
11_chapter7.pdf385.61 kBAdobe PDFView/Open
12_annexurs.pdf438.3 kBAdobe PDFView/Open
80_recommendation.pdf72.74 kBAdobe PDFView/Open
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