Comparative Analysis of MCDM Methods for Ranking Renewable Energy Sources

博士 === 長庚大學 === 企業管理研究所博士班 === 105 === In recent years, global warming is one of the most serious issues. Many countries have implemented various policies and incentives to reduce emissions and to promote the renewable energy development. Taiwan has almost no natural resources, 98% of total energy s...

Full description

Bibliographic Details
Main Authors: Hsing Chen Lee, 李幸珍
Other Authors: C. T. Chang
Format: Others
Language:zh-TW
Published: 2017
Online Access:http://ndltd.ncl.edu.tw/handle/wrw3a8
id ndltd-TW-105CGU05121001
record_format oai_dc
spelling ndltd-TW-105CGU051210012019-06-27T05:26:43Z http://ndltd.ncl.edu.tw/handle/wrw3a8 Comparative Analysis of MCDM Methods for Ranking Renewable Energy Sources 運用多準則決策分析方法於再生能源排序之比較分析 Hsing Chen Lee 李幸珍 博士 長庚大學 企業管理研究所博士班 105 In recent years, global warming is one of the most serious issues. Many countries have implemented various policies and incentives to reduce emissions and to promote the renewable energy development. Taiwan has almost no natural resources, 98% of total energy supply depending on imports. This issue has become increasingly important in Taiwan for the objectives of energy independence and reduction of gas emissions. Four Multi-Criteria Decision Making Methods (MCDM), namely WSM, VIKOR, TOPSIS, and ELECTRE are used to rank renewable energy sources. The four dimensions and ten decision criteria are used to evaluate the priority of five possible renewable energy sources in Taiwan. First, the weights of these criteria are calculated using entropy method for different renewable energy sources. The results show that technical is the most crucial dimension, followed by economic, environmental and social dimension. Efficiency is the most important criterion. Then, these four MCDM methods are used to evaluate the ranking of all alternatives. The purpose of the comparative analysis is to determine what different using various MCDM methods for a renewable energy sources assessment model. The results show that the ranking of these four MCDM methods were almost the same: hydro power is the best choice for Taiwan, followed by solar PV, wind, biomass and geothermal. Furthermore, the sensitivity analysis was conducted to reveal the ranking of alternatives changes due to variation of criteria weights. The results of this study can be provided to decision makers as a reference for the development of renewable energy. C. T. Chang 張錦特 2017 學位論文 ; thesis 90 zh-TW
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 博士 === 長庚大學 === 企業管理研究所博士班 === 105 === In recent years, global warming is one of the most serious issues. Many countries have implemented various policies and incentives to reduce emissions and to promote the renewable energy development. Taiwan has almost no natural resources, 98% of total energy supply depending on imports. This issue has become increasingly important in Taiwan for the objectives of energy independence and reduction of gas emissions. Four Multi-Criteria Decision Making Methods (MCDM), namely WSM, VIKOR, TOPSIS, and ELECTRE are used to rank renewable energy sources. The four dimensions and ten decision criteria are used to evaluate the priority of five possible renewable energy sources in Taiwan. First, the weights of these criteria are calculated using entropy method for different renewable energy sources. The results show that technical is the most crucial dimension, followed by economic, environmental and social dimension. Efficiency is the most important criterion. Then, these four MCDM methods are used to evaluate the ranking of all alternatives. The purpose of the comparative analysis is to determine what different using various MCDM methods for a renewable energy sources assessment model. The results show that the ranking of these four MCDM methods were almost the same: hydro power is the best choice for Taiwan, followed by solar PV, wind, biomass and geothermal. Furthermore, the sensitivity analysis was conducted to reveal the ranking of alternatives changes due to variation of criteria weights. The results of this study can be provided to decision makers as a reference for the development of renewable energy.
author2 C. T. Chang
author_facet C. T. Chang
Hsing Chen Lee
李幸珍
author Hsing Chen Lee
李幸珍
spellingShingle Hsing Chen Lee
李幸珍
Comparative Analysis of MCDM Methods for Ranking Renewable Energy Sources
author_sort Hsing Chen Lee
title Comparative Analysis of MCDM Methods for Ranking Renewable Energy Sources
title_short Comparative Analysis of MCDM Methods for Ranking Renewable Energy Sources
title_full Comparative Analysis of MCDM Methods for Ranking Renewable Energy Sources
title_fullStr Comparative Analysis of MCDM Methods for Ranking Renewable Energy Sources
title_full_unstemmed Comparative Analysis of MCDM Methods for Ranking Renewable Energy Sources
title_sort comparative analysis of mcdm methods for ranking renewable energy sources
publishDate 2017
url http://ndltd.ncl.edu.tw/handle/wrw3a8
work_keys_str_mv AT hsingchenlee comparativeanalysisofmcdmmethodsforrankingrenewableenergysources
AT lǐxìngzhēn comparativeanalysisofmcdmmethodsforrankingrenewableenergysources
AT hsingchenlee yùnyòngduōzhǔnzéjuécèfēnxīfāngfǎyúzàishēngnéngyuánpáixùzhībǐjiàofēnxī
AT lǐxìngzhēn yùnyòngduōzhǔnzéjuécèfēnxīfāngfǎyúzàishēngnéngyuánpáixùzhībǐjiàofēnxī
_version_ 1719211552013287424