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An Ecosystem View of Peer-to-Peer Electricity Trading: Scenario Building by Business Model Matrix to Identify New Roles

Author

Listed:
  • Mehdi Montakhabi

    (Imec-SMIT, Vrije Universiteit Brussel, Pleinlaan 9, 1050 Brussels, Belgium)

  • Fairouz Zobiri

    (Electa, KU Leuven, Kasteelpark Arenberg 10—Bus 2445, 3001 Heverlee, Belgium)

  • Shenja van der Graaf

    (Department of Communication Science, Technical University of Twente, P.O. Box 217, 7500 AE Enschede, The Netherlands)

  • Geert Deconinck

    (Electa, KU Leuven, Kasteelpark Arenberg 10—Bus 2445, 3001 Heverlee, Belgium)

  • Domenico Orlando

    (CiTiP, KU Leuven, Sint-Michielsstraat 6—Box 3443, 3000 Leuven, Belgium)

  • Pieter Ballon

    (Imec-SMIT, Vrije Universiteit Brussel, Pleinlaan 9, 1050 Brussels, Belgium)

  • Mustafa A. Mustafa

    (Department of Computer Science, The University of Manchester, Manchester M13 9PL, UK
    Imec-COSIC, KU Leuven, Kasteelpark Arenberg 10—Bus 2452, 3001 Heverlee, Belgium)

Abstract

This article introduces new roles in future peer-to-peer electricity trading markets. Following a qualitative approach, firstly, the value network of the current electricity market is presented. To do so, service streams, critical roles, activities, and their setting in the electricity market are identified. Secondly, in order to identify the main sources of uncertainty, the business model matrix framework is utilized to analyze peer-to-peer electricity trading. Thirdly, four future scenarios are built based on user involvement and customer ownership. The outcome of the scenario building is the emergence of new roles, brokers, and representatives in the future peer-to-peer electricity markets. Fourth, based on the four future scenarios, changes in the value network, new roles, and emerging/evolving activities are identified. Finally, the two new roles are discussed from grid structure, security and privacy, legal, and data protection perspectives. The data is gathered by conducting semi-structured interviews with stakeholders in the current electricity market as well as potential disruptors. This article elaborates on the configuration of the value network in the electricity market and highlights the changes that peer-to-peer trading imposes to the status quo. Through the outcomes of the value network analysis, it assists policy makers to consider the requirements and current market players to reconsider their business models.

Suggested Citation

  • Mehdi Montakhabi & Fairouz Zobiri & Shenja van der Graaf & Geert Deconinck & Domenico Orlando & Pieter Ballon & Mustafa A. Mustafa, 2021. "An Ecosystem View of Peer-to-Peer Electricity Trading: Scenario Building by Business Model Matrix to Identify New Roles," Energies, MDPI, vol. 14(15), pages 1-22, July.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:15:p:4438-:d:599621
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    References listed on IDEAS

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    Cited by:

    1. Schwidtal, J.M. & Piccini, P. & Troncia, M. & Chitchyan, R. & Montakhabi, M. & Francis, C. & Gorbatcheva, A. & Capper, T. & Mustafa, M.A. & Andoni, M. & Robu, V. & Bahloul, M. & Scott, I.J. & Mbavarir, 2023. "Emerging business models in local energy markets: A systematic review of peer-to-peer, community self-consumption, and transactive energy models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 179(C).
    2. Siripha Junlakarn & Phimsupha Kokchang & Kulyos Audomvongseree, 2022. "Drivers and Challenges of Peer-to-Peer Energy Trading Development in Thailand," Energies, MDPI, vol. 15(3), pages 1-25, February.
    3. Mika Goto & Hiroshi Kitamura & Daishi Sagawa & Taichi Obara & Kenji Tanaka, 2023. "Simulation Analysis of Electricity Demand and Supply in Japanese Communities Focusing on Solar PV, Battery Storage, and Electricity Trading," Energies, MDPI, vol. 16(13), pages 1-24, July.

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