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Evaluation of energy economic optimization models using multi-criteria decision-making approach

Achieving high performance in energy systems is crucial for sustainability. Energy economy optimization (EEO) models offer transparent analysis for energy policy decision-making. However, evaluating and benchmarking these models is a complex multicriteria decision making (MCDM) problem. Challenges i...

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Main Authors:	Alamoodi A.H., Al-Samarraay M.S., Albahri O.S., Deveci M., Albahri A.S., Yussof S.
Other Authors:	57205435311
Format:	Article
Published:	Elsevier Ltd 2025
Subjects:	Benchmarking Codes (symbols) Economics Optimization Energy economy Energy economy optimization model Energy systems Fuzzy decision Fuzzy decision by opinion score method Fuzzy-weighted zero-consistency method Multi-attribute decision analysis Multicriteria decision-making Optimization models Source codes Decision making
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id	my.uniten.dspace-36269
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spelling	my.uniten.dspace-362692025-03-03T15:41:45Z Evaluation of energy economic optimization models using multi-criteria decision-making approach Alamoodi A.H. Al-Samarraay M.S. Albahri O.S. Deveci M. Albahri A.S. Yussof S. 57205435311 57383689800 57201013684 55734383000 57201009814 16023225600 Benchmarking Codes (symbols) Economics Optimization Energy economy Energy economy optimization model Energy systems Fuzzy decision Fuzzy decision by opinion score method Fuzzy-weighted zero-consistency method Multi-attribute decision analysis Multicriteria decision-making Optimization models Source codes Decision making Achieving high performance in energy systems is crucial for sustainability. Energy economy optimization (EEO) models offer transparent analysis for energy policy decision-making. However, evaluating and benchmarking these models is a complex multicriteria decision making (MCDM) problem. Challenges include multiple criteria, data variation, and the importance of diverse criteria. This study develops an integrated MCDM approach to evaluate and benchmark EEO models. The methodology involves three phases. First, 12 commonly used EEO models and five evaluation criteria (software licenses, public source code, redistribution, public source data, and commercial software) are identified to create an evaluation decision matrix. Second, the fuzzy-weighted zero-consistency method (FWZIC) is used to evaluate and assign weights to the criteria. These weights are utilized in the benchmarking phase. Third, individual and group fuzzy decision by opinion score method (FDOSM) techniques are integrated to benchmark the EEO models based on the weights acquired. The FWZIC weighting reveals that the public source code criterion has the highest weight (0.3347), while redistribution has the lowest weight (0.1021). The group FDOSM results show that the OSeMOSYS model ranks first with the highest score (0.1595), while the DNE21+, MARIA, and MESSAGE models have the lowest score (0.0646), ranking them last. Systematic ranking, sensitivity ranking, and comparative analysis verify the proposed evaluation and benchmarking framework. ? 2024 Elsevier Ltd Final 2025-03-03T07:41:45Z 2025-03-03T07:41:45Z 2024 Article 10.1016/j.eswa.2024.124842 2-s2.0-85199949546 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85199949546&doi=10.1016%2fj.eswa.2024.124842&partnerID=40&md5=2ea700981344193fab2736c6c6536c2a https://irepository.uniten.edu.my/handle/123456789/36269 255 124842 Elsevier Ltd Scopus
institution	Universiti Tenaga Nasional
building	UNITEN Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Tenaga Nasional
content_source	UNITEN Institutional Repository
url_provider	http://dspace.uniten.edu.my/
topic	Benchmarking Codes (symbols) Economics Optimization Energy economy Energy economy optimization model Energy systems Fuzzy decision Fuzzy decision by opinion score method Fuzzy-weighted zero-consistency method Multi-attribute decision analysis Multicriteria decision-making Optimization models Source codes Decision making
spellingShingle	Benchmarking Codes (symbols) Economics Optimization Energy economy Energy economy optimization model Energy systems Fuzzy decision Fuzzy decision by opinion score method Fuzzy-weighted zero-consistency method Multi-attribute decision analysis Multicriteria decision-making Optimization models Source codes Decision making Alamoodi A.H. Al-Samarraay M.S. Albahri O.S. Deveci M. Albahri A.S. Yussof S. Evaluation of energy economic optimization models using multi-criteria decision-making approach
description	Achieving high performance in energy systems is crucial for sustainability. Energy economy optimization (EEO) models offer transparent analysis for energy policy decision-making. However, evaluating and benchmarking these models is a complex multicriteria decision making (MCDM) problem. Challenges include multiple criteria, data variation, and the importance of diverse criteria. This study develops an integrated MCDM approach to evaluate and benchmark EEO models. The methodology involves three phases. First, 12 commonly used EEO models and five evaluation criteria (software licenses, public source code, redistribution, public source data, and commercial software) are identified to create an evaluation decision matrix. Second, the fuzzy-weighted zero-consistency method (FWZIC) is used to evaluate and assign weights to the criteria. These weights are utilized in the benchmarking phase. Third, individual and group fuzzy decision by opinion score method (FDOSM) techniques are integrated to benchmark the EEO models based on the weights acquired. The FWZIC weighting reveals that the public source code criterion has the highest weight (0.3347), while redistribution has the lowest weight (0.1021). The group FDOSM results show that the OSeMOSYS model ranks first with the highest score (0.1595), while the DNE21+, MARIA, and MESSAGE models have the lowest score (0.0646), ranking them last. Systematic ranking, sensitivity ranking, and comparative analysis verify the proposed evaluation and benchmarking framework. ? 2024 Elsevier Ltd
author2	57205435311
author_facet	57205435311 Alamoodi A.H. Al-Samarraay M.S. Albahri O.S. Deveci M. Albahri A.S. Yussof S.
format	Article
author	Alamoodi A.H. Al-Samarraay M.S. Albahri O.S. Deveci M. Albahri A.S. Yussof S.
author_sort	Alamoodi A.H.
title	Evaluation of energy economic optimization models using multi-criteria decision-making approach
title_short	Evaluation of energy economic optimization models using multi-criteria decision-making approach
title_full	Evaluation of energy economic optimization models using multi-criteria decision-making approach
title_fullStr	Evaluation of energy economic optimization models using multi-criteria decision-making approach
title_full_unstemmed	Evaluation of energy economic optimization models using multi-criteria decision-making approach
title_sort	evaluation of energy economic optimization models using multi-criteria decision-making approach
publisher	Elsevier Ltd
publishDate	2025
_version_	1825816101192204288
score	13.244109

Evaluation of energy economic optimization models using multi-criteria decision-making approach

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