Exploring decision-making techniques for evaluation and benchmarking of energy system integration frameworks for achieving a sustainable energy future

被引:12
作者
Aljburi, Mohammed Taha [1 ]
Albahri, A. S. [2 ,3 ]
Albahri, O. S. [4 ,5 ]
Alamoodi, A. H. [6 ,7 ]
Mohammed, Saleh Mahdi [2 ]
Deveci, Muhammet [8 ,9 ,10 ]
Tomaskova, Hana [11 ]
机构
[1] Minist Educ, Vocat Educ, Baghdad, Iraq
[2] Imam Jaafar Al Sadiq Univ, Tech Coll, Baghdad, Iraq
[3] Iraqi Commiss Comp & Informat ICCI, Baghdad, Iraq
[4] Victorian Inst Technol, Sydney, Australia
[5] Mazaya Univ Coll, Comp Tech Engn Dept, Nasiriyah, Iraq
[6] Univ Tenaga Nas, Inst Informat & Comp Energy, Kajang 43000, Selangor, Malaysia
[7] Middle East Univ, MEU Res Unit, Amman, Jordan
[8] Natl Def Univ, Turkish Naval Acad, Dept Ind Engn, TR-34940 Istanbul, Turkiye
[9] UCL, Bartlett Sch Sustainable Construct, 1-19 Torrington Pl, London WC1E 7HB, England
[10] Lebanese Amer Univ, Dept Elect & Comp Engn, Byblos, Lebanon
[11] Univ Hradec Kralove, Fac Informat & Management, Rokitanskeho 62, Hradec Kralove 50003, Czech Republic
关键词
Energy system integration; Sustainable energy; Fuzzy sets; MABAC; Dynamic selection; FWZIC; SECURITY PERFORMANCE; TOPSIS; SELECTION; MODEL; TECHNOLOGY; RESOURCES; PATHWAYS; CONTEXT; WEIGHT; POWER;
D O I
10.1016/j.esr.2023.101251
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
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.
引用
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页数:20
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