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Comparative techno-economic analysis of market models for peer-to-peer energy trading on a distributed platform

Author

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  • Galici, Marco
  • Troncia, Matteo
  • Nour, Morsy
  • Chaves-Ávila, José Pablo
  • Pilo, Fabrizio

Abstract

Since the emergence of distributed energy resources, local electricity markets have garnered interest for energy sharing on a community scale through both centralized and distributed models, including innovative distributed platforms. Numerous studies and initiatives have demonstrated that local markets and peer-to-peer transactions can be effective for electricity networks under specific conditions. Amidst the growing exploration of local market models, there is a noticeable gap in quantitative techno-economic analyses comparing different auction mechanisms. This paper aims at filling this gap by representing a comparative analysis of the most commonly implemented double-sided market models for peer-to-peer transactions based on a distributed ledger implementation. The comparison is based on quantitative key performance indicators designed to assess the economic and technical performance of these market models, including technical constraints within the power system through a network constraints management market. According to the selected metrics, the simulation results reveal that no single model outperforms all others. The authors conclude that, under the tested application and assumed conditions, the distributed market using distributed ledger technology faces several challenges that hinder its efficient application to local energy trading.

Suggested Citation

  • Galici, Marco & Troncia, Matteo & Nour, Morsy & Chaves-Ávila, José Pablo & Pilo, Fabrizio, 2025. "Comparative techno-economic analysis of market models for peer-to-peer energy trading on a distributed platform," Applied Energy, Elsevier, vol. 380(C).
    • Handle: RePEc:eee:appene:v:380:y:2025:i:c:s0306261924023894
    DOI: 10.1016/j.apenergy.2024.125005
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    References listed on IDEAS

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    1. Farmer, J. Doyne & Axtell, Robert L., 2022. "Agent-Based Modeling in Economics and Finance: Past, Present, and Future," INET Oxford Working Papers 2022-10, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
    2. Matteo Troncia & Marco Galici & Mario Mureddu & Emilio Ghiani & Fabrizio Pilo, 2019. "Distributed Ledger Technologies for Peer-to-Peer Local Markets in Distribution Networks," Energies, MDPI, vol. 12(17), pages 1-19, August.
    3. 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.
    4. 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.
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    Cited by:

    1. ur Rehman, Anis & Sanjari, Mohammad J. & Elavarasan, Rajvikram Madurai & Jamal, Taskin, 2026. "Sustainability-aligned pathways for energy transition: A review of low-carbon energy network solutions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 226(PE).
    2. Zhou, Kaile & Ma, Chaojie & Chu, Yibo, 2025. "Peer-to-peer joint electricity and carbon trading model for urban virtual power plants considering the cooperative behavior of prosumers," Renewable Energy, Elsevier, vol. 255(C).
    3. Xia, Yuanxing & Wang, Ke & Huang, Yu & Lin, Tinjun & Shi, Linjun & Wu, Feng, 2026. "Bounded rational decision-making modeling and analysis in local energy markets: A state-of-the-art review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 226(PB).

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