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An integrated fuzzy multi-energy transaction evaluation approach for energy internet markets considering judgement credibility and variable rough precision

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  • Liu, Xinglei
  • Liu, Jun
  • Ren, Kezheng
  • Liu, Xiaoming
  • Liu, Jiacheng

Abstract

Energy internet is an effective way to fulfill carbon neutrality, since it has the advantages of high-efficiency energy utilization. As an important part in energy internet market, multi-energy transaction reflects complementarity of multi-energy sources and provides guidance for future development. However, there still lacks an effective index system for multi-energy transaction evaluation and a reliable method to flexibly handle the subjectivity and vagueness during the evaluation process. In this paper, an effective index system and its extraction method and a comprehensive evaluation approach are proposed to reliably assess the multi-energy transaction performance of the energy internet market. Firstly, an interval type-2 fuzzy decision-making trial and evaluation laboratory (IT2F DEMATEL) method and λ-adversarial interpretive structural modelling (λAISM) approach are combined to extract a 14-indicator index system, the proposed method not only investigates the interrelationship between the indicators but also calculates the influence degree between them. Secondly, to control the vagueness and uncertainty involved in expert judgement, a novel non-deterministic method, combining fuzzy comprehensive evaluation and credibility-based analytic hierarchy process (AHP) with variable rough precision theory, is developed to evaluate the multi-energy transaction performance. Finally, two real-world demonstration projects in northern and southern China are investigated for case studies. The evaluation score of the multi-energy transaction in DZZ town has improved by 25.77 from 2018 to 2021, reaching a “good” performance of 78.09; while the score of XB town has improved by 19.34, reaching an “excellent” performance of 84.32 in 2021. Comparative analysis shows that the extracted index system contains the minimum required information, and the proposed evaluation method can effectively handle the linguistic imprecision and cognition vagueness caused by expert judgements.

Suggested Citation

  • Liu, Xinglei & Liu, Jun & Ren, Kezheng & Liu, Xiaoming & Liu, Jiacheng, 2022. "An integrated fuzzy multi-energy transaction evaluation approach for energy internet markets considering judgement credibility and variable rough precision," Energy, Elsevier, vol. 261(PB).
    • Handle: RePEc:eee:energy:v:261:y:2022:i:pb:s0360544222022113
    DOI: 10.1016/j.energy.2022.125327
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    as
    1. Dincer, Hasan & Yuksel, Serhat, 2019. "Balanced scorecard-based analysis of investment decisions for the renewable energy alternatives: A comparative analysis based on the hybrid fuzzy decision-making approach," Energy, Elsevier, vol. 175(C), pages 1259-1270.
    2. Cuesta, M.A. & Castillo-Calzadilla, T. & Borges, C.E., 2020. "A critical analysis on hybrid renewable energy modeling tools: An emerging opportunity to include social indicators to optimise systems in small communities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 122(C).
    3. Qiu, Rui & Liao, Qi & Klemeš, Jiří Jaromír & Liang, Yongtu & Guo, Zhichao & Chen, Jinyu & Zhang, Haoran, 2022. "Roadmap to urban energy internet with wind electricity-natural gas nexus: Economic and environmental analysis," Energy, Elsevier, vol. 245(C).
    4. Hu, Bo & Zhou, P., 2022. "Can the renewable power consumption guarantee mechanism help activate China's power trading market?," Energy, Elsevier, vol. 253(C).
    5. Zaifang Zhang & Danhua Xu & Egon Ostrosi & Li Yu & Beibei Fan, 2019. "A systematic decision-making method for evaluating design alternatives of product service system based on variable precision rough set," Journal of Intelligent Manufacturing, Springer, vol. 30(4), pages 1895-1909, April.
    6. Farshchian, Ghazaleh & Darestani, Soroush Avakh & Hamidi, Naser, 2021. "Developing a decision-making dashboard for power losses attributes of Iran’s electricity distribution network," Energy, Elsevier, vol. 216(C).
    7. Zhang, Yuanyuan & Zhao, Huiru & Li, Bingkang & Zhao, Yihang & Qi, Ze, 2022. "Research on credit rating and risk measurement of electricity retailers based on Bayesian Best Worst Method-Cloud Model and improved Credit Metrics model in China's power market," Energy, Elsevier, vol. 252(C).
    8. Moktadir, Md Abdul & Ali, Syed Mithun & Jabbour, Charbel Jose Chiappetta & Paul, Ananna & Ahmed, Sobur & Sultana, Razia & Rahman, Towfique, 2019. "Key factors for energy-efficient supply chains: Implications for energy policy in emerging economies," Energy, Elsevier, vol. 189(C).
    9. Deveci, Muhammet & Cali, Umit & Kucuksari, Sadik & Erdogan, Nuh, 2020. "Interval type-2 fuzzy sets based multi-criteria decision-making model for offshore wind farm development in Ireland," Energy, Elsevier, vol. 198(C).
    10. Yuan, Jiahang & Luo, Xinggang & Li, Yun & Hu, Xiaoqing & Chen, Wenchong & Zhang, Yue, 2022. "Multi criteria decision-making for distributed energy system based on multi-source heterogeneous data," Energy, Elsevier, vol. 239(PD).
    11. Lin, Chun-Cheng & Wu, Yi-Fang & Liu, Wan-Yu, 2021. "Optimal sharing energy of a complex of houses through energy trading in the Internet of energy," Energy, Elsevier, vol. 220(C).
    12. Bigerna, Simona & Bollino, Carlo Andrea & D'Errico, Maria Chiara & Polinori, Paolo, 2022. "COVID-19 lockdown and market power in the Italian electricity market," Energy Policy, Elsevier, vol. 161(C).
    13. 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).
    14. Li, Fengyun & Li, Xingmei, 2022. "An empirical analysis on regional natural gas market of China from a spatial pattern and social network perspective," Energy, Elsevier, vol. 244(PA).
    15. Qin, Guangyu & Zhang, Meijuan & Yan, Qingyou & Xu, Chuanbo & Kammen, Daniel M., 2021. "Comprehensive evaluation of regional energy internet using a fuzzy analytic hierarchy process based on cloud model: A case in China," Energy, Elsevier, vol. 228(C).
    16. Mukhamet, Tileuzhan & Kobeyev, Sultan & Nadeem, Abid & Memon, Shazim Ali, 2021. "Ranking PCMs for building façade applications using multi-criteria decision-making tools combined with energy simulations," Energy, Elsevier, vol. 215(PB).
    17. Lu, Zhiming & Gao, Yan & Xu, Chuanbo, 2021. "Evaluation of energy management system for regional integrated energy system under interval type-2 hesitant fuzzy environment," Energy, Elsevier, vol. 222(C).
    18. Zhao, Huiru & Li, Bingkang & Lu, Hao & Wang, Xuejie & Li, Hongze & Guo, Sen & Xue, Wanlei & Wang, Yuwei, 2022. "Economy-environment-energy performance evaluation of CCHP microgrid system: A hybrid multi-criteria decision-making method," Energy, Elsevier, vol. 240(C).
    19. Siala, Kais & Mier, Mathias & Schmidt, Lukas & Torralba-Díaz, Laura & Sheykhha, Siamak & Savvidis, Georgios, 2022. "Which model features matter? An experimental approach to evaluate power market modeling choices," Energy, Elsevier, vol. 245(C).
    20. Jun Liu & Jinchun Chen & Chao Wang & Zhang Chen & Xinglei Liu, 2020. "Market Trading Model of Urban Energy Internet Based on Tripartite Game Theory," Energies, MDPI, vol. 13(7), pages 1-24, April.
    21. Wu, Yunna & Xu, Chuanbo & Zhang, Buyuan & Tao, Yao & Li, Xinying & Chu, Han & Liu, Fangtong, 2019. "Sustainability performance assessment of wind power coupling hydrogen storage projects using a hybrid evaluation technique based on interval type-2 fuzzy set," Energy, Elsevier, vol. 179(C), pages 1176-1190.
    22. Wu, Qiong & Xie, Zhun & Ren, Hongbo & Li, Qifen & Yang, Yongwen, 2022. "Optimal trading strategies for multi-energy microgrid cluster considering demand response under different trading modes: A comparison study," Energy, Elsevier, vol. 254(PC).
    23. Zheng, Yawen & Gao, Lin & Li, Sheng & Wang, Dan, 2022. "A comprehensive evaluation model for full-chain CCUS performance based on the analytic hierarchy process method," Energy, Elsevier, vol. 239(PD).
    24. Zhang, Long & Bai, Wuliyasu & Xiao, Huijuan & Ren, Jingzheng, 2021. "Measuring and improving regional energy security: A methodological framework based on both quantitative and qualitative analysis," Energy, Elsevier, vol. 227(C).
    25. Wu, Yunna & Jia, Weibing & Li, Lingwenying & Song, Zixin & Xu, Chuanbo & Liu, Fangtong, 2019. "Risk assessment of electric vehicle supply chain based on fuzzy synthetic evaluation," Energy, Elsevier, vol. 182(C), pages 397-411.
    26. Chen, Zhang & Liu, Jun & Liu, Xinglei, 2022. "GPU accelerated power flow calculation of integrated electricity and heat system with component-oriented modeling of district heating network," Applied Energy, Elsevier, vol. 305(C).
    27. Ilbahar, Esra & Kahraman, Cengiz & Cebi, Selcuk, 2022. "Risk assessment of renewable energy investments: A modified failure mode and effect analysis based on prospect theory and intuitionistic fuzzy AHP," Energy, Elsevier, vol. 239(PA).
    28. Yang, Shu-Xia & Nie, Tian-qi & Li, Cheng-Cheng, 2022. "Research on the contribution of regional Energy Internet emission reduction considering time-of-use tariff," Energy, Elsevier, vol. 239(PB).
    29. Supciller, Aliye Ayca & Toprak, Fatih, 2020. "Selection of wind turbines with multi-criteria decision making techniques involving neutrosophic numbers: A case from Turkey," Energy, Elsevier, vol. 207(C).
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    Cited by:

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