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Real-Time Bidding Model of Cryptocurrency Energy Trading Platform

Author

Listed:
  • Yue Wu

    (Business School, University of Shanghai for Science and Technology, Shanghai 200093, China)

  • Junxiang Li

    (Business School, University of Shanghai for Science and Technology, Shanghai 200093, China)

  • Jin Gao

    (Business School, University of Shanghai for Science and Technology, Shanghai 200093, China)

Abstract

Blockchain technology provides a comprehensive solution to user access and energy trading for distributed energy Internet. Achieving market-based pricing, increasing the earnings of energy suppliers, attracting foreign capital and facilitating the upgrade of solar and wind energy are pressing issues. Drawing on the practices of centralised exchanges and blockchain cryptocurrency, the author designed the Cryptocurrency Energy Trading Platform (CETP), dividing the permissioned blockchain into the Energy Blockchain Platform (EBP) and the Energy Cryptocurrency Exchange (ECE). The frequently used real-time bidding scenario and the seldom-used power-using scenario are separated from each other. A market welfare model for real-time bidding is established and verified. With Energy Blockchain Cryptocurrency (EBC) as the trading medium, the platform allows external bidders to get involved in the bidding and transactions, which not only attracts the social capital to be used in the development of energy Internet but also helps stabilise the energy market prices, thus, advancing the energy Internet.

Suggested Citation

  • Yue Wu & Junxiang Li & Jin Gao, 2021. "Real-Time Bidding Model of Cryptocurrency Energy Trading Platform," Energies, MDPI, vol. 14(21), pages 1-14, November.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:21:p:7216-:d:670574
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    References listed on IDEAS

    as
    1. Sikorski, Janusz J. & Haughton, Joy & Kraft, Markus, 2017. "Blockchain technology in the chemical industry: Machine-to-machine electricity market," Applied Energy, Elsevier, vol. 195(C), pages 234-246.
    2. Reza Arghandeh & Jeremy Woyak & Ahmet Onen & Jaesung Jung & Robert P. Broadwater, 2014. "Economic Optimal Operation of Community Energy Storage Systems in Competitive Energy Markets," Papers 1407.0433, arXiv.org, revised Sep 2014.
    3. Huang, Weilong & Ma, Ding & Chen, Wenying, 2017. "Connecting water and energy: Assessing the impacts of carbon and water constraints on China’s power sector," Applied Energy, Elsevier, vol. 185(P2), pages 1497-1505.
    4. Arghandeh, Reza & Woyak, Jeremy & Onen, Ahmet & Jung, Jaesung & Broadwater, Robert P., 2014. "Economic optimal operation of Community Energy Storage systems in competitive energy markets," Applied Energy, Elsevier, vol. 135(C), pages 71-80.
    5. 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).
    6. Mingchao Xia & Xiaoliang Li, 2013. "Design and Implementation of a High Quality Power Supply Scheme for Distributed Generation in a Micro-Grid," Energies, MDPI, vol. 6(9), pages 1-21, September.
    7. Giulio Caldarelli & Cecilia Rossignoli & Alessandro Zardini, 2020. "Overcoming the Blockchain Oracle Problem in the Traceability of Non-Fungible Products," Sustainability, MDPI, vol. 12(6), pages 1-17, March.
    8. Tsao, Yu-Chung & Thanh, Vo-Van, 2021. "Toward sustainable microgrids with blockchain technology-based peer-to-peer energy trading mechanism: A fuzzy meta-heuristic approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 136(C).
    9. Alexandre Lucas & Dimitrios Geneiatakis & Yannis Soupionis & Igor Nai-Fovino & Evangelos Kotsakis, 2021. "Blockchain Technology Applied to Energy Demand Response Service Tracking and Data Sharing," Energies, MDPI, vol. 14(7), pages 1-17, March.
    10. Wang, Longze & Liu, Jinxin & Yuan, Rongfang & Wu, Jing & Zhang, Delong & Zhang, Yan & Li, Meicheng, 2020. "Adaptive bidding strategy for real-time energy management in multi-energy market enhanced by blockchain," Applied Energy, Elsevier, vol. 279(C).
    11. Zhou, Sheng & Zhang, Xiliang, 2010. "Nuclear energy development in China: A study of opportunities and challenges," Energy, Elsevier, vol. 35(11), pages 4282-4288.
    12. Ante, L. & Steinmetz, F. & Fiedler, I., 2021. "Blockchain and energy: A bibliometric analysis and review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 137(C).
    13. Lu, W.T. & Dai, C. & Fu, Z.H. & Liang, Z.Y. & Guo, H.C., 2018. "An interval-fuzzy possibilistic programming model to optimize China energy management system with CO2 emission constraint," Energy, Elsevier, vol. 142(C), pages 1023-1039.
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    Cited by:

    1. Serkan Seven & Yeliz Yoldas & Ahmet Soran & Gulay Yalcin Alkan & Jaesung Jung & Taha Selim Ustun & Ahmet Onen, 2022. "Energy Trading on a Peer-to-Peer Basis between Virtual Power Plants Using Decentralized Finance Instruments," Sustainability, MDPI, vol. 14(20), pages 1-16, October.

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