Multi-criteria analysis of electricity generation scenarios for sustainable energy planning in Pakistan

The now over a decade-long electricity crisis in Pakistan has adversely affected the socio-economic development of the country. This situation is mainly due to a lack of sustainable energy planning and policy formulation. In this context, energy models can be of great help but only a handful of such...

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Main Authors: Mirjat, Nayyar Hussain, Uqaili, Mohammad Aslam, Harijan, Khanji, Mustafa, Mohd. Wazir, Rahman, Md. Mizanur, Ali Khan, M. Waris
Format: Article
Published: MDPI AG 2018
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Online Access:http://eprints.utm.my/id/eprint/85209/
http://dx.doi.org/10.3390/en11040757
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spelling my.utm.852092020-03-17T08:00:04Z http://eprints.utm.my/id/eprint/85209/ Multi-criteria analysis of electricity generation scenarios for sustainable energy planning in Pakistan Mirjat, Nayyar Hussain Uqaili, Mohammad Aslam Harijan, Khanji Mustafa, Mohd. Wazir Rahman, Md. Mizanur Ali Khan, M. Waris TK Electrical engineering. Electronics Nuclear engineering The now over a decade-long electricity crisis in Pakistan has adversely affected the socio-economic development of the country. This situation is mainly due to a lack of sustainable energy planning and policy formulation. In this context, energy models can be of great help but only a handful of such efforts have been undertaken in Pakistan. Two key shortcomings pertaining to energy models lead to their low utilization in developing countries. First, the models do not effectively make decisions, but rather provide a set of alternatives based on modeling parameters; and secondly, the complexity of these models is often poorly understood by the decision makers. As such, in this study, the Analytical Hierarchy Process (AHP) methodology of Multi-Criteria Decision-Making (MCDM) has been used for the sustainability assessment of energy modeling results for long-term electricity planning. The four scenario alternatives developed in the energy modeling effort, Reference (REF), Renewable Energy Technologies (RET), Clean Coal Maximum (CCM) and Energy Efficiency and Conservation (EEC), have been ranked using the Expert Choice® tool based on the AHP methodology. The AHP decision support framework of this study revealed the EEC scenario as the most favorable electricity generation scenario followed by the REF, RET and CCM scenarios. Besides that, this study proposes policy recommendations to undertake integrated energy modeling and decision analysis for sustainable energy planning in Pakistan. MDPI AG 2018-04 Article PeerReviewed Mirjat, Nayyar Hussain and Uqaili, Mohammad Aslam and Harijan, Khanji and Mustafa, Mohd. Wazir and Rahman, Md. Mizanur and Ali Khan, M. Waris (2018) Multi-criteria analysis of electricity generation scenarios for sustainable energy planning in Pakistan. Energies, 11 (4). p. 757. ISSN 1996-1073 http://dx.doi.org/10.3390/en11040757
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Mirjat, Nayyar Hussain
Uqaili, Mohammad Aslam
Harijan, Khanji
Mustafa, Mohd. Wazir
Rahman, Md. Mizanur
Ali Khan, M. Waris
Multi-criteria analysis of electricity generation scenarios for sustainable energy planning in Pakistan
description The now over a decade-long electricity crisis in Pakistan has adversely affected the socio-economic development of the country. This situation is mainly due to a lack of sustainable energy planning and policy formulation. In this context, energy models can be of great help but only a handful of such efforts have been undertaken in Pakistan. Two key shortcomings pertaining to energy models lead to their low utilization in developing countries. First, the models do not effectively make decisions, but rather provide a set of alternatives based on modeling parameters; and secondly, the complexity of these models is often poorly understood by the decision makers. As such, in this study, the Analytical Hierarchy Process (AHP) methodology of Multi-Criteria Decision-Making (MCDM) has been used for the sustainability assessment of energy modeling results for long-term electricity planning. The four scenario alternatives developed in the energy modeling effort, Reference (REF), Renewable Energy Technologies (RET), Clean Coal Maximum (CCM) and Energy Efficiency and Conservation (EEC), have been ranked using the Expert Choice® tool based on the AHP methodology. The AHP decision support framework of this study revealed the EEC scenario as the most favorable electricity generation scenario followed by the REF, RET and CCM scenarios. Besides that, this study proposes policy recommendations to undertake integrated energy modeling and decision analysis for sustainable energy planning in Pakistan.
format Article
author Mirjat, Nayyar Hussain
Uqaili, Mohammad Aslam
Harijan, Khanji
Mustafa, Mohd. Wazir
Rahman, Md. Mizanur
Ali Khan, M. Waris
author_facet Mirjat, Nayyar Hussain
Uqaili, Mohammad Aslam
Harijan, Khanji
Mustafa, Mohd. Wazir
Rahman, Md. Mizanur
Ali Khan, M. Waris
author_sort Mirjat, Nayyar Hussain
title Multi-criteria analysis of electricity generation scenarios for sustainable energy planning in Pakistan
title_short Multi-criteria analysis of electricity generation scenarios for sustainable energy planning in Pakistan
title_full Multi-criteria analysis of electricity generation scenarios for sustainable energy planning in Pakistan
title_fullStr Multi-criteria analysis of electricity generation scenarios for sustainable energy planning in Pakistan
title_full_unstemmed Multi-criteria analysis of electricity generation scenarios for sustainable energy planning in Pakistan
title_sort multi-criteria analysis of electricity generation scenarios for sustainable energy planning in pakistan
publisher MDPI AG
publishDate 2018
url http://eprints.utm.my/id/eprint/85209/
http://dx.doi.org/10.3390/en11040757
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score 13.188404