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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 |
Files in This Item:
File | Description | Size | Format | |
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01_title.pdf | Attached File | 22.42 kB | Adobe PDF | View/Open |
02_prelimpages.pdf | 6.54 MB | Adobe PDF | View/Open | |
03_contents.pdf | 9.14 kB | Adobe PDF | View/Open | |
04_abstracts.pdf | 6.54 kB | Adobe PDF | View/Open | |
05_chapter1.pdf | 34.61 kB | Adobe PDF | View/Open | |
06_chapter2.pdf | 51.25 kB | Adobe PDF | View/Open | |
07_chapter3.pdf | 227.34 kB | Adobe PDF | View/Open | |
08_chapter4.pdf | 297.53 kB | Adobe PDF | View/Open | |
09_chapter5.pdf | 361.33 kB | Adobe PDF | View/Open | |
10_chapter6.pdf | 220.36 kB | Adobe PDF | View/Open | |
11_chapter7.pdf | 385.61 kB | Adobe PDF | View/Open | |
12_annexurs.pdf | 438.3 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 72.74 kB | Adobe PDF | View/Open |
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