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Research on tradable green certificate benchmark price and technical conversion coefficient: Bargaining-based cooperative trading

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  • Yi, Zuo
  • Xin-gang, Zhao
  • Xin, Meng
  • Yu-zhuo, Zhang

Abstract

Reasonable design of the tradable green certificate (TGC) system quasi-parameters (benchmark price and technical conversion coefficient) can effectively induce the mutually beneficial cooperation of the TGC market players. However, almost no literature quantitatively estimates the quasi-parameters of TGC system. This paper uses the cooperative game theory to construct the TGC bilateral trade model between renewable energy power generators and distribution power suppliers, and then quantitatively calculates the quasi-parameters of TGC system for social welfare maximization. The results show that: (1) The constructed TGC bilateral trading model guides the mutually beneficial cooperation among market players effectively by realizing benefit expansion and redistribution; (2) The TGC benchmark price and the conversion coefficients can be quantitatively calculated based on the Nash bargaining model. Taking China for example, the benchmark price is 333 yuan/MWh, and the technical conversion coefficients of hydropower, wind power and photovoltaic power are 1, 1.2, and 1.5, respectively.

Suggested Citation

  • Yi, Zuo & Xin-gang, Zhao & Xin, Meng & Yu-zhuo, Zhang, 2020. "Research on tradable green certificate benchmark price and technical conversion coefficient: Bargaining-based cooperative trading," Energy, Elsevier, vol. 208(C).
    • Handle: RePEc:eee:energy:v:208:y:2020:i:c:s0360544220314833
    DOI: 10.1016/j.energy.2020.118376
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    1. Darmani, Anna & Rickne, Annika & Hidalgo, Antonio & Arvidsson, Niklas, 2016. "When outcomes are the reflection of the analysis criteria: A review of the tradable green certificate assessments," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 372-381.
    2. Haas, Reinhard & Resch, Gustav & Panzer, Christian & Busch, Sebastian & Ragwitz, Mario & Held, Anne, 2011. "Efficiency and effectiveness of promotion systems for electricity generation from renewable energy sources – Lessons from EU countries," Energy, Elsevier, vol. 36(4), pages 2186-2193.
    3. Finon, Dominique & Perez, Yannick, 2007. "The social efficiency of instruments of promotion of renewable energies: A transaction-cost perspective," Ecological Economics, Elsevier, vol. 62(1), pages 77-92, April.
    4. Yu-zhuo, Zhang & Xin-gang, Zhao & Ling-zhi, Ren & Ji, Liang & Ping-kuo, Liu, 2017. "The development of China's biomass power industry under feed-in tariff and renewable portfolio standard: A system dynamics analysis," Energy, Elsevier, vol. 139(C), pages 947-961.
    5. Barbose, Galen & Wiser, Ryan & Heeter, Jenny & Mai, Trieu & Bird, Lori & Bolinger, Mark & Carpenter, Alberta & Heath, Garvin & Keyser, David & Macknick, Jordan & Mills, Andrew & Millstein, Dev, 2016. "A retrospective analysis of benefits and impacts of U.S. renewable portfolio standards," Energy Policy, Elsevier, vol. 96(C), pages 645-660.
    6. Narula, Kapil, 2013. "Renewable Energy Certificates (RECs) in India – A performance analysis and future outlook," Renewable and Sustainable Energy Reviews, Elsevier, vol. 27(C), pages 654-663.
    7. Aune, Finn Roar & Dalen, Hanne Marit & Hagem, Cathrine, 2012. "Implementing the EU renewable target through green certificate markets," Energy Economics, Elsevier, vol. 34(4), pages 992-1000.
    8. Bhattacharya, Suparna & Giannakas, Konstantinos & Schoengold, Karina, 2017. "Market and welfare effects of renewable portfolio standards in United States electricity markets," Energy Economics, Elsevier, vol. 64(C), pages 384-401.
    9. Fan, Songli & Ai, Qian & Piao, Longjian, 2018. "Bargaining-based cooperative energy trading for distribution company and demand response," Applied Energy, Elsevier, vol. 226(C), pages 469-482.
    10. del Río, Pablo & Cerdá, Emilio, 2014. "The policy implications of the different interpretations of the cost-effectiveness of renewable electricity support," Energy Policy, Elsevier, vol. 64(C), pages 364-372.
    11. Wȩdzik, Andrzej & Siewierski, Tomasz & Szypowski, Michał, 2017. "Green certificates market in Poland – The sources of crisis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 490-503.
    12. Rieger, Alexander & Thummert, Robert & Fridgen, Gilbert & Kahlen, Micha & Ketter, Wolfgang, 2016. "Estimating the benefits of cooperation in a residential microgrid: A data-driven approach," Applied Energy, Elsevier, vol. 180(C), pages 130-141.
    13. Zenginis, Ioannis & Vardakas, John S. & Echave, Cynthia & Morató, Moisés & Abadal, Jordi & Verikoukis, Christos V., 2017. "Cooperation in microgrids through power exchange: An optimal sizing and operation approach," Applied Energy, Elsevier, vol. 203(C), pages 972-981.
    14. Frei, Fanny & Loder, Allister & Bening, Catharina R., 2018. "Liquidity in green power markets – An international review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 674-690.
    15. Catalina Spataru & Bruno Arcuri, 2017. "Marketing Renewable Energy in the United Kingdom," Management for Professionals, in: Carsten Herbes & Christian Friege (ed.), Marketing Renewable Energy, pages 331-344, Springer.
    16. Bunn, Derek & Yusupov, Tim, 2015. "The progressive inefficiency of replacing renewable obligation certificates with contracts-for-differences in the UK electricity market," Energy Policy, Elsevier, vol. 82(C), pages 298-309.
    17. Jacobsson, Staffan & Bergek, Anna & Finon, Dominique & Lauber, Volkmar & Mitchell, Catherine & Toke, David & Verbruggen, Aviel, 2009. "EU renewable energy support policy: Faith or facts?," Energy Policy, Elsevier, vol. 37(6), pages 2143-2146, June.
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    Cited by:

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    3. Yan, Sizhe & Wang, Weiqing & Li, Xiaozhu & Maimaiti, Pakezhati & Zhao, Yi, 2024. "Cross-regional green certificate transaction strategies based on a double-layer game model," Applied Energy, Elsevier, vol. 356(C).
    4. Guo, Xiaopeng & Zhang, Xinyue & Zhang, Xingping, 2024. "Incentive-oriented power‑carbon emissions trading-tradable green certificate integrated market mechanisms using multi-agent deep reinforcement learning," Applied Energy, Elsevier, vol. 357(C).
    5. Zhang, Xinyue & Guo, Xiaopeng & Zhang, Xingping, 2023. "Assessing the policy synergy among power, carbon emissions trading and tradable green certificate market mechanisms on strategic GENCOs in China," Energy, Elsevier, vol. 278(PB).
    6. Yan Xiong & Jiakun Fang, 2022. "Co-Operative Optimization Framework for Energy Management Considering CVaR Assessment and Game Theory," Energies, MDPI, vol. 15(24), pages 1-17, December.

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