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The comprehensive evaluation of renewable energy system schemes in tourist resorts based on VIKOR method

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  • Zheng, Guozhong
  • Wang, Xiao

Abstract

The selection of the renewable energy system schemes in tourist resorts is a multi-criteria decision problem. This paper firstly establishes an evaluation criteria system which comprises three main criteria and nine sub-criteria for the renewable energy system. Then Vlsekriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method is adopted to rank the renewable energy system schemes. Finally, six renewable energy system schemes in a tourist resort are selected to demonstrate the proposed method. The results indicate that the weight of economy, technology and environment are 0.6, 0.2 and 0.2 respectively. And the general weights of the sub-criteria are: 0.348 (B11), 0.186 (B12), 0.066 (B13), 0.086 (B21), 0.086 (B22), 0.028 (B23), 0.04 (B31), 0.12 (B32) and 0.04 (B33). The general weight of the investment cost and the annual operation cost accounts for a relatively large proportion, which is 34.8% and 18.6% respectively. The ranking order of the six schemes based on Qj, Sj, and Rj are Q2>Q6>Q5>Q4>Q3>Q1, S2>S6>S4>S5>S1>S3 and R6>R2>R5>R3>R4>R1 respectively. After a compromise, the final ranking results are: Scheme 2, Scheme 6 > Scheme 5, Scheme 4 > Scheme 3, Scheme 1. This study can provide guidance for the decision makers to determine the renewable energy system scheme in tourist resorts.

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  • Zheng, Guozhong & Wang, Xiao, 2020. "The comprehensive evaluation of renewable energy system schemes in tourist resorts based on VIKOR method," Energy, Elsevier, vol. 193(C).
    • Handle: RePEc:eee:energy:v:193:y:2020:i:c:s0360544219323710
    DOI: 10.1016/j.energy.2019.116676
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    Cited by:

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    2. Wu, Yunna & Liao, Mingjuan & Hu, Mengyao & Lin, Jiawei & Zhou, Jianli & Zhang, Buyuan & Xu, Chuanbo, 2020. "A decision framework of low-speed wind farm projects in hilly areas based on DEMATEL-entropy-TODIM method from the sustainability perspective: A case in China," Energy, Elsevier, vol. 213(C).
    3. Vanegas-Cantarero, María M. & Pennock, Shona & Bloise-Thomaz, Tianna & Jeffrey, Henry & Dickson, Matthew J., 2022. "Beyond LCOE: A multi-criteria evaluation framework for offshore renewable energy projects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
    4. Zheng, Xuejing & Yang, Xueqing & Miao, Hongfei & Liu, Huzhen & Yu, Yanzhe & Wang, Yaran & Zhang, Huan & You, Shijun, 2022. "A factor analysis and self-organizing map based evaluation approach for the renewable energy heating potentials at county level: A case study in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 165(C).
    5. Ali, Shahid & Stewart, Rodney A. & Sahin, Oz & Vieira, Abel Silva, 2024. "Spatial bayesian approach for socio-economic assessment of pumped hydro storage," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PB).
    6. Liu, Jicheng & Lu, Yunyuan, 2023. "A task matching model of photovoltaic storage system under the energy blockchain environment - based on GA-CLOUD-GS algorithm," Energy, Elsevier, vol. 283(C).
    7. Abdul, Daud & Wenqi, Jiang & Tanveer, Arsalan, 2022. "Prioritization of renewable energy source for electricity generation through AHP-VIKOR integrated methodology," Renewable Energy, Elsevier, vol. 184(C), pages 1018-1032.

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