| Autor: |
Changfeng Yin, Fang Ji, Lina Wang, Zhongchao Fan, Shuai Geng |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
|
| Zdroj: |
Energy Reports, Vol 8, Iss , Pp 3156-3165 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
2352-4847 |
| DOI: |
10.1016/j.egyr.2022.02.073 |
| Popis: |
Different from centralized and large-scale photovoltaic power station, the sites selection of rail transit photovoltaic power station (RTPPS) concerns more on sustainability rather than profit and there is a lack of selection index system for RTPPS sites selection. Besides that, the decision model cannot deal with the uncertainty, the independence assumption problem and the solving problem of multi-objective programming (MOP) model in scenarios with more goals. The contributions of this paper are as follows: ① a selection index system of RTPPS site selection is established based on RTPPS’s characteristics to provide the scientific decision-making direction; ② the interval-valued Pythagorean fuzzy number (IVPFN) is used to deal with uncertainty in decision information; ③ the fuzzy measure were used to avoid the assumption of independence, which make the decision model is more in line with the reality; ④ the IVPFN-TOPSIS was used to decrease the number of goals, so the MOP model can be solved in scenarios with more goals. The effectiveness of this framework is proved by a China case study. According to the sensitivity analysis and comparative analysis, the decision result calculated by the proposed decision model has good robustness and the site selection framework can better serve the enterprise. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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