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An optimized GRT model with blockchain digital smart contracts for power generation enterprises

Author

Listed:
  • Chai, Shanglei
  • Zhang, Xichun
  • Abedin, Mohammad Zoynul
  • Chen, Huizheng
  • Lucey, Brian
  • Hajek, Petr

Abstract

The traditional power generation rights trading (GRT) market is faced with the problems of weak interconnection of electricity‑carbon market and low security. Using smart contracts in the blockchain, the idea of establishing a weakly centralized GRT structure is proposed in this paper. The carbon emission factor was introduced to improve the GRT model, and carbon emission market is used to further stimulate the emission reduction vitality of generating units. The empirical results show that compared with the benchmark model and improved model 1, the improved GRT model proposed by us has the best emission reduction effect. The contribution of this paper is to make up for the existing research that cannot fully consider the impact of carbon peak and carbon neutralization on the GRT market, as well as the information security issues brought by big data trading on the GRT platform. This paper puts forward some policy implications for the decarbonization and green development of the electricity market advocated by the Chinese government.

Suggested Citation

  • Chai, Shanglei & Zhang, Xichun & Abedin, Mohammad Zoynul & Chen, Huizheng & Lucey, Brian & Hajek, Petr, 2023. "An optimized GRT model with blockchain digital smart contracts for power generation enterprises," Energy Economics, Elsevier, vol. 128(C).
    • Handle: RePEc:eee:eneeco:v:128:y:2023:i:c:s0140988323006515
    DOI: 10.1016/j.eneco.2023.107153
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    as
    1. Marí, L. & Nabona, N. & Pagès-Bernaus, A., 2017. "Medium-term power planning in electricity markets with pool and bilateral contracts," European Journal of Operational Research, Elsevier, vol. 260(2), pages 432-443.
    2. Li, Sitao & Zhang, Sufang & Andrews-Speed, Philip, 2019. "Using diverse market-based approaches to integrate renewable energy: Experiences from China," Energy Policy, Elsevier, vol. 125(C), pages 330-337.
    3. Pereira, Joana & Tavalaei, M. Mahdi & Ozalp, Hakan, 2019. "Blockchain-based platforms: Decentralized infrastructures and its boundary conditions," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 94-102.
    4. Eicke, Anselm & Schittekatte, Tim, 2022. "Fighting the wrong battle? A critical assessment of arguments against nodal electricity prices in the European debate," Energy Policy, Elsevier, vol. 170(C).
    5. Gourisetti, Sri Nikhil Gupta & Sebastian-Cardenas, D. Jonathan & Bhattarai, Bishnu & Wang, Peng & Widergren, Steve & Borkum, Mark & Randall, Alysha, 2021. "Blockchain smart contract reference framework and program logic architecture for transactive energy systems," Applied Energy, Elsevier, vol. 304(C).
    6. Yang, Zikun & Zhang, Mingming & Liu, Liyun & Zhou, Dequn, 2022. "Can renewable energy investment reduce carbon dioxide emissions? Evidence from scale and structure," Energy Economics, Elsevier, vol. 112(C).
    7. Frestad, Dennis, 2008. "Common and unique factors influencing daily swap returns in the Nordic electricity market, 1997-2005," Energy Economics, Elsevier, vol. 30(3), pages 1081-1097, May.
    8. Chen, Shuo & Li, Yiran & Shi, Guang & Zhu, Zhitao, 2021. "Gone with the wind? Emissions of neighboring coal-fired power plants and local public health in China," China Economic Review, Elsevier, vol. 69(C).
    9. Bahramian, Pejman & Jenkins, Glenn P. & Milne, Frank, 2021. "A stakeholder analysis of investments in wind power electricity generation in Ontario," Energy Economics, Elsevier, vol. 103(C).
    10. Hirth, Lion & Schlecht, Ingmar, 2020. "Market-Based Redispatch in Zonal Electricity Markets: The Preconditions for and Consequence of Inc-Dec Gaming," EconStor Preprints 194292, ZBW - Leibniz Information Centre for Economics, revised 2020.
    11. Sun, Huaping & Samuel, Clottey Attuquaye & Kofi Amissah, Joshua Clifford & Taghizadeh-Hesary, Farhad & Mensah, Isaac Adjei, 2020. "Non-linear nexus between CO2 emissions and economic growth: A comparison of OECD and B&R countries," Energy, Elsevier, vol. 212(C).
    12. Wu, Ying & Wu, Yanpeng & Cimen, Halil & Vasquez, Juan C. & Guerrero, Josep M., 2022. "Towards collective energy Community: Potential roles of microgrid and blockchain to go beyond P2P energy trading," Applied Energy, Elsevier, vol. 314(C).
    13. Zhao, Wenhui & Zhang, Jiuyang & Li, Ruan & Zha, Ruiming, 2021. "A transaction case analysis of the development of generation rights trading and existing shortages in China," Energy Policy, Elsevier, vol. 149(C).
    14. Tang, Ningning & Zhang, Yuning & Niu, Yuguang & Du, Xiaoze, 2018. "Solar energy curtailment in China: Status quo, reasons and solutions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 97(C), pages 509-528.
    15. Sadawi, Alia Al & Madani, Batool & Saboor, Sara & Ndiaye, Malick & Abu-Lebdeh, Ghassan, 2021. "A comprehensive hierarchical blockchain system for carbon emission trading utilizing blockchain of things and smart contract," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    16. Zhang, M.M. & Zhou, P. & Zhou, D.Q., 2016. "A real options model for renewable energy investment with application to solar photovoltaic power generation in China," Energy Economics, Elsevier, vol. 59(C), pages 213-226.
    17. Wang, Hongye & Su, Bin & Mu, Hailin & Li, Nan & Jiang, Bo & Kong, Xue, 2019. "Optimization of electricity generation and interprovincial trading strategies in Southern China," Energy, Elsevier, vol. 174(C), pages 696-707.
    18. Shang, Nan & Ye, Chengjin & Ding, Yi & Tu, Teng & Huo, Baofeng, 2019. "Risk-based optimal power portfolio methodology for generation companies considering cross-region generation right trade," Applied Energy, Elsevier, vol. 254(C).
    19. Xiaolong Yang & Dongxiao Niu & Meng Chen & Keke Wang & Qian Wang & Xiaomin Xu, 2020. "An Operation Benefit Analysis and Decision Model of Thermal Power Enterprises in China against the Background of Large-Scale New Energy Consumption," Sustainability, MDPI, vol. 12(11), pages 1-19, June.
    20. Cartea, Álvaro & Jaimungal, Sebastian & Qin, Zhen, 2019. "Speculative trading of electricity contracts in interconnected locations," Energy Economics, Elsevier, vol. 79(C), pages 3-20.
    21. Kim, Dowon & Ryu, Heelang & Lee, Jiwoong & Kim, Kyoung-Kuk, 2022. "Balancing risk: Generation expansion planning under climate mitigation scenarios," European Journal of Operational Research, Elsevier, vol. 297(2), pages 665-679.
    22. Jiang, Yanni & Zhou, Kaile & Lu, Xinhui & Yang, Shanlin, 2020. "Electricity trading pricing among prosumers with game theory-based model in energy blockchain environment," Applied Energy, Elsevier, vol. 271(C).
    23. Poletti, Stephen, 2021. "Market Power in the New Zealand electricity wholesale market 2010–2016," Energy Economics, Elsevier, vol. 94(C).
    24. van Leeuwen, Gijs & AlSkaif, Tarek & Gibescu, Madeleine & van Sark, Wilfried, 2020. "An integrated blockchain-based energy management platform with bilateral trading for microgrid communities," Applied Energy, Elsevier, vol. 263(C).
    25. Benth, Fred Espen & Koekebakker, Steen, 2008. "Stochastic modeling of financial electricity contracts," Energy Economics, Elsevier, vol. 30(3), pages 1116-1157, May.
    26. van Ackooij, Wim & De Boeck, Jérôme & Detienne, Boris & Pan, Stefania & Poss, Michael, 2018. "Optimizing power generation in the presence of micro-grids," European Journal of Operational Research, Elsevier, vol. 271(2), pages 450-461.
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