Exploring decision-making techniques for evaluation and benchmarking of energy system integration frameworks for achieving a sustainable energy future
Energy Systems Integration (ESI) involves coordinating and planning energy systems to provide reliable and affordable energy services while minimizing environmental harm. It optimizes interactions among different energy sources to achieve sustainability goals and promotes efficient resource usage. H...
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Elsevier Ltd
2025
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| author | Taha Aljburi M. Albahri A.S. Albahri O.S. Alamoodi A.H. Mahdi Mohammed S. Deveci M. Tom�?kov� H. |
| author2 | 58751187500 |
| author_facet | 58751187500 Taha Aljburi M. Albahri A.S. Albahri O.S. Alamoodi A.H. Mahdi Mohammed S. Deveci M. Tom�?kov� H. |
| author_sort | Taha Aljburi M. |
| building | UNITEN Library |
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| content_provider | Universiti Tenaga Nasional |
| content_source | UNITEN Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | Energy Systems Integration (ESI) involves coordinating and planning energy systems to provide reliable and affordable energy services while minimizing environmental harm. It optimizes interactions among different energy sources to achieve sustainability goals and promotes efficient resource usage. However, evaluating and benchmarking ESI frameworks to select the most suitable and transparent ones is a complex Multi-Criteria Decision-Making (MCDM) problem. This complexity arises from trade-offs, conflicts, and importance considerations of the six ESI evaluation characteristics: Multidimensional, Multivectoral, Systemic, Futuristic, Systematic, and Applied. Hence, this study aims to address this complexity by integrating Fuzzy-Weighted Zero-Inconsistency (FWZIC) and Multi-Attributive Border Approximation Area Comparison (MABAC). The proposed methodology consists of two phases. Firstly, the development of a Dynamic Decision Matrix (DDM) to handle 26 ESI frameworks as alternatives and the six ESI characteristics criteria. Secondly, the integration of mathematical processes is formulated based on the FWZIC-MABAC methods. Using the FWZIC technique, the ESI evaluation criteria were weighted based on the preferences of twelve experts. ESI-C2 (Multivectoral) and ESI-C1 (Multidimensional) criteria received the highest weights of 0.195 and 0.190, respectively, while the ESI-C5 (Systematic) criterion received the lowest weight of 0.110. The remaining criteria, namely ESI-C3 (Systemic), ESI-C6 (Applied), and ESI-C4 (Futuristic) obtained weights of 0.189, 0.168, and 0.147, respectively. The MABAC benchmarking results showed that A11 (Energy Security) and A15 (Energy Security under decarbonization) ranked first with the highest score value of 0.28081 for both. Conversely, A19 (EJM) had the lowest score value of ?0.17022. The systematic rank and sensitivity analysis assessments were conducted to verify the efficiency of the proposed methodology. We benchmarked the proposed methodology against three other benchmark studies and achieved a score of 100 % across three key perspectives. This methodology offers valuable support in making informed and sustainable decisions in the energy sector. ? 2023 The Author(s) |
| format | Article |
| id | my.uniten.dspace-37194 |
| institution | Universiti Tenaga Nasional |
| publishDate | 2025 |
| publisher | Elsevier Ltd |
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| spelling | my.uniten.dspace-371942025-03-03T15:48:30Z Exploring decision-making techniques for evaluation and benchmarking of energy system integration frameworks for achieving a sustainable energy future Taha Aljburi M. Albahri A.S. Albahri O.S. Alamoodi A.H. Mahdi Mohammed S. Deveci M. Tom�?kov� H. 58751187500 57201009814 57201013684 57205435311 58544800200 55734383000 56675830700 Decision making Economic and social effects Energy conservation Energy policy Energy security Sensitivity analysis Sustainable development Decisions makings Dynamic selection Energy future Energy system integration Energy systems Fuzzy-weighted zero-inconsistency Integration frameworks Multi-attributive border approximation area comparison Sustainable energy System integration Benchmarking Energy Systems Integration (ESI) involves coordinating and planning energy systems to provide reliable and affordable energy services while minimizing environmental harm. It optimizes interactions among different energy sources to achieve sustainability goals and promotes efficient resource usage. However, evaluating and benchmarking ESI frameworks to select the most suitable and transparent ones is a complex Multi-Criteria Decision-Making (MCDM) problem. This complexity arises from trade-offs, conflicts, and importance considerations of the six ESI evaluation characteristics: Multidimensional, Multivectoral, Systemic, Futuristic, Systematic, and Applied. Hence, this study aims to address this complexity by integrating Fuzzy-Weighted Zero-Inconsistency (FWZIC) and Multi-Attributive Border Approximation Area Comparison (MABAC). The proposed methodology consists of two phases. Firstly, the development of a Dynamic Decision Matrix (DDM) to handle 26 ESI frameworks as alternatives and the six ESI characteristics criteria. Secondly, the integration of mathematical processes is formulated based on the FWZIC-MABAC methods. Using the FWZIC technique, the ESI evaluation criteria were weighted based on the preferences of twelve experts. ESI-C2 (Multivectoral) and ESI-C1 (Multidimensional) criteria received the highest weights of 0.195 and 0.190, respectively, while the ESI-C5 (Systematic) criterion received the lowest weight of 0.110. The remaining criteria, namely ESI-C3 (Systemic), ESI-C6 (Applied), and ESI-C4 (Futuristic) obtained weights of 0.189, 0.168, and 0.147, respectively. The MABAC benchmarking results showed that A11 (Energy Security) and A15 (Energy Security under decarbonization) ranked first with the highest score value of 0.28081 for both. Conversely, A19 (EJM) had the lowest score value of ?0.17022. The systematic rank and sensitivity analysis assessments were conducted to verify the efficiency of the proposed methodology. We benchmarked the proposed methodology against three other benchmark studies and achieved a score of 100 % across three key perspectives. This methodology offers valuable support in making informed and sustainable decisions in the energy sector. ? 2023 The Author(s) Final 2025-03-03T07:48:30Z 2025-03-03T07:48:30Z 2024 Article 10.1016/j.esr.2023.101251 2-s2.0-85179014234 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85179014234&doi=10.1016%2fj.esr.2023.101251&partnerID=40&md5=1dfdb7c19efa919ba4dabd5d53fcab6a https://irepository.uniten.edu.my/handle/123456789/37194 51 101251 All Open Access; Gold Open Access Elsevier Ltd Scopus |
| spellingShingle | Decision making Economic and social effects Energy conservation Energy policy Energy security Sensitivity analysis Sustainable development Decisions makings Dynamic selection Energy future Energy system integration Energy systems Fuzzy-weighted zero-inconsistency Integration frameworks Multi-attributive border approximation area comparison Sustainable energy System integration Benchmarking Taha Aljburi M. Albahri A.S. Albahri O.S. Alamoodi A.H. Mahdi Mohammed S. Deveci M. Tom�?kov� H. Exploring decision-making techniques for evaluation and benchmarking of energy system integration frameworks for achieving a sustainable energy future |
| title | Exploring decision-making techniques for evaluation and benchmarking of energy system integration frameworks for achieving a sustainable energy future |
| title_full | Exploring decision-making techniques for evaluation and benchmarking of energy system integration frameworks for achieving a sustainable energy future |
| title_fullStr | Exploring decision-making techniques for evaluation and benchmarking of energy system integration frameworks for achieving a sustainable energy future |
| title_full_unstemmed | Exploring decision-making techniques for evaluation and benchmarking of energy system integration frameworks for achieving a sustainable energy future |
| title_short | Exploring decision-making techniques for evaluation and benchmarking of energy system integration frameworks for achieving a sustainable energy future |
| title_sort | exploring decision-making techniques for evaluation and benchmarking of energy system integration frameworks for achieving a sustainable energy future |
| topic | Decision making Economic and social effects Energy conservation Energy policy Energy security Sensitivity analysis Sustainable development Decisions makings Dynamic selection Energy future Energy system integration Energy systems Fuzzy-weighted zero-inconsistency Integration frameworks Multi-attributive border approximation area comparison Sustainable energy System integration Benchmarking |
| url_provider | http://dspace.uniten.edu.my/ |