| ID | 191430 |
| Title Proper | Multi-perspective evaluation of integrated active cooling systems using fuzzy decision making model |
| Language | ENG |
| Author | Albahri, O.S. |
| Summary / Abstract (Note) | As global median temperatures continue to rise, the demand for active cooling systems (ACs) is increasing. These systems are particularly prevalent in developed countries for maintaining comfort during hot weather. Various ACs technologies are available, and assessing their performance in multi-perspective settings is necessary to determine the best option for intended usage. This requires an evaluation platform for assessment. This paper presents a novel multi-criteria decision-making (MCDM) model based on a new integrated 2-tuple linguistic Pythagorean fuzzy-weighted zero-inconsistency (2 TLP-FWZIC) and modified 2-tuple linguistic Pythagorean fuzzy multi-attributive border approximation area comparison (2TLPF-MABAC). The former is used to determine the importance of assessment criteria, while the latter is employed for selecting the optimal ACs using the obtained weights. The first-level weighting results reveal that performance criteria were predominantly favored for assessment, with ‘energy performance’ acquiring the most significant weight (0.2487) among all performance criteria. In terms of ACs selection results, among the 20 tested and assessed systems, the ‘geothermal borehole electricity-based ACs’ obtained the highest score value (0.1296), while the ‘window packaged electricity-based ACs’ had the lowest score (-0.0515). The robustness of the results was confirmed through sensitivity analysis.
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| `In' analytical Note | Energy Policy Vol. 182 ; Nov 2023: p.113775 |
| Journal Source | Energy Policy 2023-11 182 |
| Key Words | Household Energy Consumption ; Integrated active cooling systems ; Climate change2-Tuple linguistic pythagorean fuzzy sets ; FWZIC ; MABAC |