An integrated Delphi-AHP and Fuzzy TOPSIS approach toward ranking and selection of renewable energy resources in Pakistan

Pakistan has long relied on fossil fuels for electricity generation. This is despite the fact that the country is blessed with enormous renewable energy (RE) resources, which can significantly diversify the fuel mix for electricity generation. In this study, various renewable resources of Pakistan—s...

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Main Authors:	Solangi, Yasir Ahmed, Tan, Qingmei, Mirjat, Nayyar Hussain, Valasai, Das Gordhan, Ali Khan, Muhammad Waris, Ikram, Muhammad
Format:	Article
Language:	English
Published:	MDPI AG 2019
Subjects:	HD28 Management. Industrial Management QA76 Computer software QD Chemistry
Online Access:	http://umpir.ump.edu.my/id/eprint/24919/ http://umpir.ump.edu.my/id/eprint/24919/ http://umpir.ump.edu.my/id/eprint/24919/ http://umpir.ump.edu.my/id/eprint/24919/1/An%20integrated%20delphi-AHP%20and%20fuzzy%20TOPSIS%20approach.pdf

id	ump-24919
recordtype	eprints
spelling	ump-249192019-05-13T07:48:01Z http://umpir.ump.edu.my/id/eprint/24919/ An integrated Delphi-AHP and Fuzzy TOPSIS approach toward ranking and selection of renewable energy resources in Pakistan Solangi, Yasir Ahmed Tan, Qingmei Mirjat, Nayyar Hussain Valasai, Das Gordhan Ali Khan, Muhammad Waris Ikram, Muhammad HD28 Management. Industrial Management QA76 Computer software QD Chemistry Pakistan has long relied on fossil fuels for electricity generation. This is despite the fact that the country is blessed with enormous renewable energy (RE) resources, which can significantly diversify the fuel mix for electricity generation. In this study, various renewable resources of Pakistan—solar, hydro, biomass, wind, and geothermal energy—are analyzed by using an integrated Delphi-analytical hierarchy process (AHP) and fuzzy technique for order of preference by similarity to ideal solution (F-TOPSIS)-based methodology. In the first phase, the Delphi method was employed to define and select the most important criteria for the selection of RE resources. This process identified four main criteria, i.e., economic, environmental, technical, and socio-political aspects, which are further supplemented by 20 sub-criteria. AHP is later used to obtain the weights of each criterion and the sub-criteria of the decision model. The results of this study reveal wind energy as the most feasible RE resource for electricity generation followed by hydropower, solar, biomass, and geothermal energy. The sensitivity analysis of the decision model results shows that the results of this study are significant, reliable, and robust. The study provides important insights related to the prioritizing of RE resources for electricity generation and can be used to undertake policy decisions toward sustainable energy planning in Pakistan. MDPI AG 2019-02-01 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/24919/1/An%20integrated%20delphi-AHP%20and%20fuzzy%20TOPSIS%20approach.pdf Solangi, Yasir Ahmed and Tan, Qingmei and Mirjat, Nayyar Hussain and Valasai, Das Gordhan and Ali Khan, Muhammad Waris and Ikram, Muhammad (2019) An integrated Delphi-AHP and Fuzzy TOPSIS approach toward ranking and selection of renewable energy resources in Pakistan. Processes, 7 (2). pp. 1-31. ISSN 2227-9717 https://doi.org/10.3390/pr7020118 https://doi.org/10.3390/pr7020118
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	HD28 Management. Industrial Management QA76 Computer software QD Chemistry
spellingShingle	HD28 Management. Industrial Management QA76 Computer software QD Chemistry Solangi, Yasir Ahmed Tan, Qingmei Mirjat, Nayyar Hussain Valasai, Das Gordhan Ali Khan, Muhammad Waris Ikram, Muhammad An integrated Delphi-AHP and Fuzzy TOPSIS approach toward ranking and selection of renewable energy resources in Pakistan
description	Pakistan has long relied on fossil fuels for electricity generation. This is despite the fact that the country is blessed with enormous renewable energy (RE) resources, which can significantly diversify the fuel mix for electricity generation. In this study, various renewable resources of Pakistan—solar, hydro, biomass, wind, and geothermal energy—are analyzed by using an integrated Delphi-analytical hierarchy process (AHP) and fuzzy technique for order of preference by similarity to ideal solution (F-TOPSIS)-based methodology. In the first phase, the Delphi method was employed to define and select the most important criteria for the selection of RE resources. This process identified four main criteria, i.e., economic, environmental, technical, and socio-political aspects, which are further supplemented by 20 sub-criteria. AHP is later used to obtain the weights of each criterion and the sub-criteria of the decision model. The results of this study reveal wind energy as the most feasible RE resource for electricity generation followed by hydropower, solar, biomass, and geothermal energy. The sensitivity analysis of the decision model results shows that the results of this study are significant, reliable, and robust. The study provides important insights related to the prioritizing of RE resources for electricity generation and can be used to undertake policy decisions toward sustainable energy planning in Pakistan.
format	Article
author	Solangi, Yasir Ahmed Tan, Qingmei Mirjat, Nayyar Hussain Valasai, Das Gordhan Ali Khan, Muhammad Waris Ikram, Muhammad
author_facet	Solangi, Yasir Ahmed Tan, Qingmei Mirjat, Nayyar Hussain Valasai, Das Gordhan Ali Khan, Muhammad Waris Ikram, Muhammad
author_sort	Solangi, Yasir Ahmed
title	An integrated Delphi-AHP and Fuzzy TOPSIS approach toward ranking and selection of renewable energy resources in Pakistan
title_short	An integrated Delphi-AHP and Fuzzy TOPSIS approach toward ranking and selection of renewable energy resources in Pakistan
title_full	An integrated Delphi-AHP and Fuzzy TOPSIS approach toward ranking and selection of renewable energy resources in Pakistan
title_fullStr	An integrated Delphi-AHP and Fuzzy TOPSIS approach toward ranking and selection of renewable energy resources in Pakistan
title_full_unstemmed	An integrated Delphi-AHP and Fuzzy TOPSIS approach toward ranking and selection of renewable energy resources in Pakistan
title_sort	integrated delphi-ahp and fuzzy topsis approach toward ranking and selection of renewable energy resources in pakistan
publisher	MDPI AG
publishDate	2019
url	http://umpir.ump.edu.my/id/eprint/24919/ http://umpir.ump.edu.my/id/eprint/24919/ http://umpir.ump.edu.my/id/eprint/24919/ http://umpir.ump.edu.my/id/eprint/24919/1/An%20integrated%20delphi-AHP%20and%20fuzzy%20TOPSIS%20approach.pdf
first_indexed	2023-09-18T22:37:58Z
last_indexed	2023-09-18T22:37:58Z
_version_	1777416723564068864

An integrated Delphi-AHP and Fuzzy TOPSIS approach toward ranking and selection of renewable energy resources in Pakistan

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