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Study on the Comprehensive Benefit Evaluation of Transnational Power Networking Projects Based on Multi-Project Stakeholder Perspectives

Author

Listed:
  • Yunqi Zhao

    (State Grid Energy Research Institute, Beijing 102206, China)

  • Jing Xiang

    (Department of Economics and Management, North China Electric Power University, Baoding 071003, China)

  • Jiaming Xu

    (Department of Economics and Management, North China Electric Power University, Baoding 071003, China)

  • Jinying Li

    (Department of Economics and Management, North China Electric Power University, Baoding 071003, China)

  • Ning Zhang

    (State Grid Energy Research Institute, Beijing 102206, China)

Abstract

Interconnection of transnational power grids plays an important role in realizing the optimal allocation of energy resources. It can also deepen regional economic cooperation, achieve energy conservation and emission reduction, and improve people’s livelihood. This paper constructs a comprehensive benefit evaluation index system for transnational power networking projects which is suitable for the four stakeholders of investors, international lending institutions, sending-oriented states, and receiving-oriented states. Therefore, on the basis of this index system, this paper adopted the weight determination method based on the order relation method and Gini coefficient method to synthesize subjective and objective information. Then the comprehensive benefit evaluation of such projects was carried out by matter-element extension model with grey relational projection value. Therefore, the problem with the Euclid approach degree leading to a low discrimination of many samples to be evaluated was effectively solved. The final empirical analysis results showed that the focus and evaluation results of the comprehensive benefits of such projects from the perspective of different stakeholders were quite different. The results of comprehensive benefit evaluation will improve the accuracy of decision-making and the objectivity of evaluation, so as to provide decision-making references for different stakeholders.

Suggested Citation

  • Yunqi Zhao & Jing Xiang & Jiaming Xu & Jinying Li & Ning Zhang, 2019. "Study on the Comprehensive Benefit Evaluation of Transnational Power Networking Projects Based on Multi-Project Stakeholder Perspectives," Energies, MDPI, vol. 12(2), pages 1-21, January.
  • Handle: RePEc:gam:jeners:v:12:y:2019:i:2:p:249-:d:197832
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    References listed on IDEAS

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    1. Hongze Li & FengYun Li & Xinhua Yu, 2018. "China’s Contributions to Global Green Energy and Low-Carbon Development: Empirical Evidence under the Belt and Road Framework," Energies, MDPI, vol. 11(6), pages 1-32, June.
    2. Büyüközkan, Gülçin & Karabulut, Yağmur, 2017. "Energy project performance evaluation with sustainability perspective," Energy, Elsevier, vol. 119(C), pages 549-560.
    3. Li, Rongbo & Jiang, Zhiqiang & Ji, Changming & Li, Anqiang & Yu, Shan, 2018. "An improved risk-benefit collaborative grey target decision model and its application in the decision making of load adjustment schemes," Energy, Elsevier, vol. 156(C), pages 387-400.
    4. Yongxiu He & Wenya Liu & Jie Jiao & Jie Guan, 2018. "Evaluation method of benefits and efficiency of grid investment in China: A case study," The Engineering Economist, Taylor & Francis Journals, vol. 63(1), pages 66-86, January.
    5. Talavera, D.L. & Nofuentes, G. & Aguilera, J. & Fuentes, M., 2007. "Tables for the estimation of the internal rate of return of photovoltaic grid-connected systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 11(3), pages 447-466, April.
    6. Qunli Wu & Chenyang Peng, 2016. "Comprehensive Benefit Evaluation of the Power Distribution Network Planning Project Based on Improved IAHP and Multi-Level Extension Assessment Method," Sustainability, MDPI, vol. 8(8), pages 1-18, August.
    7. Sidhu, Arjan S. & Pollitt, Michael G. & Anaya, Karim L., 2018. "A social cost benefit analysis of grid-scale electrical energy storage projects: A case study," Applied Energy, Elsevier, vol. 212(C), pages 881-894.
    8. Jinying Li & Fan Wu & Jinchao Li & Yunqi Zhao, 2017. "Research on Risk Evaluation of Transnational Power Networking Projects Based on the Matter-Element Extension Theory and Granular Computing," Energies, MDPI, vol. 10(10), pages 1-19, October.
    9. Li Ma & Lin Wang & Kuo-Jui Wu & Ming-Lang Tseng & Anthony S. F. Chiu, 2018. "Exploring the Decisive Risks of Green Development Projects by Adopting Social Network Analysis under Stakeholder Theory," Sustainability, MDPI, vol. 10(6), pages 1-21, June.
    10. Bakhshi, Reza & Sadeh, Javad, 2018. "Economic evaluation of grid–connected photovoltaic systems viability under a new dynamic feed–in tariff scheme: A case study in Iran," Renewable Energy, Elsevier, vol. 119(C), pages 354-364.
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