IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i2p249-d197832.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/2/249/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/12/2/249/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Tian, Yuanyuan & Bai, Libiao & Wei, Lan & Zheng, Kanyin & Zhou, Xinyu, 2022. "Modeling for project portfolio benefit prediction via a GA-BP neural network," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    2. Libiao Bai & Kanyin Zheng & Zhiguo Wang & Jiale Liu, 2022. "Service provider portfolio selection for project management using a BP neural network," Annals of Operations Research, Springer, vol. 308(1), pages 41-62, January.
    3. Zhen Li & Yun Li & Yanbin Li, 2019. "Performance Evaluation of Energy Transition Based on the Technique for Order Preference by a Similar to Ideal Solution and Support Vector Machine Optimized by an Improved Artificial Bee Colony Algorit," Energies, MDPI, vol. 12(16), pages 1-21, August.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jinying Li & Jiaming Xu & Xin Tan, 2018. "Dynamic Comprehensive Benefit Evaluation of the Transnational Power Grid Interconnection Project Based on Combination Weighting and TOPSIS Grey Projection Method," Sustainability, MDPI, vol. 10(12), pages 1-15, December.
    2. Lechón, Y. & de la Rúa, C. & Rodríguez, I. & Caldés, N., 2019. "Socioeconomic implications of biofuels deployment through an Input-Output approach. A case study in Uruguay," Renewable and Sustainable Energy Reviews, Elsevier, vol. 104(C), pages 178-191.
    3. Zhiqiang Jiang & Zhengyang Tang & Yi Liu & Yuyun Chen & Zhongkai Feng & Yang Xu & Hairong Zhang, 2019. "Area Moment and Error Based Forecasting Difficulty and its Application in Inflow Forecasting Level Evaluation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(13), pages 4553-4568, October.
    4. Sulaiman A. Almohaimeed & Siddharth Suryanarayanan & Peter O’Neill, 2021. "Simulation Studies to Quantify the Impact of Demand Side Management on Environmental Footprint," Sustainability, MDPI, vol. 13(17), pages 1-24, August.
    5. Weiwei Li & Pingtao Yi & Danning Zhang, 2018. "Sustainability Evaluation of Cities in Northeastern China Using Dynamic TOPSIS-Entropy Methods," Sustainability, MDPI, vol. 10(12), pages 1-15, December.
    6. Rui Guo & Zhenyong Wu, 2023. "Social sustainable supply chain performance assessment using hybrid fuzzy-AHP–DEMATEL–VIKOR: a case study in manufacturing enterprises," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(11), pages 12273-12301, November.
    7. Biancardi, Andrea & Mendes, Carla & Staffell, Iain, 2024. "Battery electricity storage as both a complement and substitute for cross-border interconnection," Energy Policy, Elsevier, vol. 189(C).
    8. Sellak, Hamza & Ouhbi, Brahim & Frikh, Bouchra & Palomares, Iván, 2017. "Towards next-generation energy planning decision-making: An expert-based framework for intelligent decision support," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 1544-1577.
    9. Oh, Eunsung & Son, Sung-Yong, 2020. "Theoretical energy storage system sizing method and performance analysis for wind power forecast uncertainty management," Renewable Energy, Elsevier, vol. 155(C), pages 1060-1069.
    10. Ivan Pavić & Zora Luburić & Hrvoje Pandžić & Tomislav Capuder & Ivan Andročec, 2019. "Defining and Evaluating Use Cases for Battery Energy Storage Investments: Case Study in Croatia," Energies, MDPI, vol. 12(3), pages 1-23, January.
    11. Mulleriyawage, U.G.K. & Shen, W.X., 2021. "Impact of demand side management on optimal sizing of residential battery energy storage system," Renewable Energy, Elsevier, vol. 172(C), pages 1250-1266.
    12. Quan, Junlong & Kim, Se-Heon & Kim, Ju-Hyung, 2018. "A study on probabilistic social cost–benefit analysis to introduce high-efficiency motors into subway station ventilation," Energy Policy, Elsevier, vol. 121(C), pages 92-100.
    13. Ming-Lang Tseng & Phan Anh Tan & Shiou-Yun Jeng & Chun-Wei Remen Lin & Yeneneh Tamirat Negash & Susilo Nur Aji Cokro Darsono, 2019. "Sustainable Investment: Interrelated among Corporate Governance, Economic Performance and Market Risks Using Investor Preference Approach," Sustainability, MDPI, vol. 11(7), pages 1-15, April.
    14. Wang, Yue & Das, Ridoy & Putrus, Ghanim & Kotter, Richard, 2020. "Economic evaluation of photovoltaic and energy storage technologies for future domestic energy systems – A case study of the UK," Energy, Elsevier, vol. 203(C).
    15. Yanbin Li & Feng Zhang & Yun Li & Bingkang Li & Zhen Li, 2019. "Evaluating the Power Grid Investment Behavior in China: From the Perspective of Government Supervision," Energies, MDPI, vol. 12(21), pages 1-23, November.
    16. Wu, Yunna & Xu, Chuanbo & Zhang, Ting, 2018. "Evaluation of renewable power sources using a fuzzy MCDM based on cumulative prospect theory: A case in China," Energy, Elsevier, vol. 147(C), pages 1227-1239.
    17. Huijia Yang & Weiguang Fan & Guangyu Qin & Zhenyu Zhao, 2021. "A Fuzzy-ANP Approach for Comprehensive Benefit Evaluation of Grid-Side Commercial Storage Project," Energies, MDPI, vol. 14(4), pages 1-17, February.
    18. López-González, A. & Ferrer-Martí, L. & Domenech, B., 2019. "Sustainable rural electrification planning in developing countries: A proposal for electrification of isolated communities of Venezuela," Energy Policy, Elsevier, vol. 129(C), pages 327-338.
    19. Kerscher, Selina & Koirala, Arpan & Arboleya, Pablo, 2024. "Grid-optimal energy community planning from a systems perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 199(C).
    20. Natalia A. Chernysheva & Victoria V. Perskaya & Alexander M. Petrov & Anna A. Bakulina, 2019. "Green Energy for Belt and Road Initiative: Economic Aspects Today and in the Future," International Journal of Energy Economics and Policy, Econjournals, vol. 9(5), pages 178-185.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:12:y:2019:i:2:p:249-:d:197832. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.