IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i3p1616-d738576.html
   My bibliography  Save this article

Business Model of Peer-to-Peer Energy Trading: A Review of Literature

Author

Listed:
  • Hani Muhsen

    (Department of Mechatronics Engineering, School of Applied Technical Sciences, German Jordanian University, Madaba 11180, Jordan
    Smart Grid Lab, German Jordanian University, Madaba 11180, Jordan)

  • Adib Allahham

    (School of Engineering, Newcastle University, Newcastle upon Tyne NE1 7RU, UK)

  • Ala’aldeen Al-Halhouli

    (Department of Mechatronics Engineering, School of Applied Technical Sciences, German Jordanian University, Madaba 11180, Jordan
    Smart Grid Lab, German Jordanian University, Madaba 11180, Jordan)

  • Mohammed Al-Mahmodi

    (Smart Grid Lab, German Jordanian University, Madaba 11180, Jordan)

  • Asma Alkhraibat

    (Smart Grid Lab, German Jordanian University, Madaba 11180, Jordan)

  • Musab Hamdan

    (Smart Grid Lab, German Jordanian University, Madaba 11180, Jordan)

Abstract

Peer-to-peer (P2P) energy trading is a promising energy trading mechanism due to the deployment of distributed energy resources in recent years. Trading energy between prosumers and consumers in the local energy market is undergoing massive research and development, paying significant attention to the business model of the energy market. In this paper, an extensive review was conducted on the current research in P2P energy trading to understand the business layer of the energy market concerning business model dimensions: bidding strategies and the market-clearing approach. Different types of game theoretical-based and auction-based market-clearing mechanisms are investigated, including a detailed classification of auctions. This study considers the possibility of employing the P2P technique in developing countries and reviewing existing business models and trading policies. The business layer of the P2P structure plays a vital role in developing an effective trading mechanism based on interactive energy markets.

Suggested Citation

  • Hani Muhsen & Adib Allahham & Ala’aldeen Al-Halhouli & Mohammed Al-Mahmodi & Asma Alkhraibat & Musab Hamdan, 2022. "Business Model of Peer-to-Peer Energy Trading: A Review of Literature," Sustainability, MDPI, vol. 14(3), pages 1-22, January.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:3:p:1616-:d:738576
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/3/1616/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/3/1616/
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Lubov Petrichenko & Antans Sauhats & Illia Diahovchenko & Irina Segeda, 2022. "Economic Viability of Energy Communities versus Distributed Prosumers," Sustainability, MDPI, vol. 14(8), pages 1-24, April.
    2. Hani Muhsen & Asma Alkhraibat & Ala’aldeen Al-Halhouli, 2023. "Real-Time Simulation and Energy Management Attainment of Microgrids," Sustainability, MDPI, vol. 15(3), pages 1-16, February.
    3. Younes Zahraoui & Tarmo Korõtko & Argo Rosin & Hannes Agabus, 2023. "Market Mechanisms and Trading in Microgrid Local Electricity Markets: A Comprehensive Review," Energies, MDPI, vol. 16(5), pages 1-52, February.
    4. Zheyuan Sun & Sara Tavakoli & Kaveh Khalilpour & Alexey Voinov & Jonathan Paul Marshall, 2024. "Barriers to Peer-to-Peer Energy Trading Networks: A Multi-Dimensional PESTLE Analysis," Sustainability, MDPI, vol. 16(4), pages 1-23, February.
    5. Shama Naz Islam, 2024. "A Review of Peer-to-Peer Energy Trading Markets: Enabling Models and Technologies," Energies, MDPI, vol. 17(7), pages 1-18, April.
    6. Chun Xia-Bauer & Florin Vondung & Stefan Thomas & Raphael Moser, 2022. "Business Model Innovations for Renewable Energy Prosumer Development in Germany," Sustainability, MDPI, vol. 14(13), pages 1-17, June.
    7. Wang, Juan & Zheng, Junjun & Yu, Liukai & Goh, Mark & Tang, Yunying & Huang, Yongchao, 2023. "Distributed Reputation-Distance iterative auction system for Peer-To-Peer power trading," Applied Energy, Elsevier, vol. 345(C).
    8. Lopez, Hector K. & Zilouchian, Ali, 2023. "Peer-to-peer energy trading for photo-voltaic prosumers," Energy, Elsevier, vol. 263(PA).
    9. Marco Galici & Mario Mureddu & Emilio Ghiani & Fabrizio Pilo, 2022. "Blockchain-Based Hardware-in-the-Loop Simulation of a Decentralized Controller for Local Energy Communities," Energies, MDPI, vol. 15(20), pages 1-25, October.
    10. Sara Khan & Uzma Amin & Ahmed Abu-Siada, 2024. "P2P Energy Trading of EVs Using Blockchain Technology in Centralized and Decentralized Networks: A Review," Energies, MDPI, vol. 17(9), pages 1-17, April.

    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:jsusta:v:14:y:2022:i:3:p:1616-:d:738576. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.