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A pragmatic approach towards end-user engagement in the context of peer-to-peer energy sharing

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  • Klein, Lurian P.
  • Matos, Luisa M.
  • Allegretti, Giovanni

Abstract

Peer-to-peer (P2P) energy sharing is a fast-emerging concept that concerns electricity exchanges between grid-connected end-users. This innovative user-centric market model incentivises the creation of more distributed, collaborative, and democratised energy networks compared to traditional ones. Current research on P2P energy sharing has essentially focused on the definition of its techno-economic attributes, hence sound research on end-user engagement in this context is still lacking in the scientific literature. This paper addresses this knowledge gap by proposing a novel end-user engagement framework constructed around the P2P energy sharing context that was trialled in 3 different pilots in Portugal. These pilots represent the first Portuguese testing grounds where this concept was demonstrated under real market conditions. Findings based on a sample of 123 participants suggest that the proposed framework was effective in raising awareness and empowering unmotivated, passive end-users in an initial phase of the project implementation, as well as in retaining the interest of motivated end-users during a later phase. Furthermore, the empirical analysis allowed to conclude that participation in the project was predominantly voluntary rather than coerced. The proposed end-user engagement framework contributes to the scientific literature since it facilitates and guides the design of future P2P energy sharing initiatives.

Suggested Citation

  • Klein, Lurian P. & Matos, Luisa M. & Allegretti, Giovanni, 2020. "A pragmatic approach towards end-user engagement in the context of peer-to-peer energy sharing," Energy, Elsevier, vol. 205(C).
  • Handle: RePEc:eee:energy:v:205:y:2020:i:c:s0360544220311087
    DOI: 10.1016/j.energy.2020.118001
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Lopez, Hector K. & Zilouchian, Ali, 2023. "Peer-to-peer energy trading for photo-voltaic prosumers," Energy, Elsevier, vol. 263(PA).
    2. Lin, Wen-Ting & Chen, Guo & Zhou, Xiaojun, 2022. "Distributed carbon-aware energy trading of virtual power plant under denial of service attacks: A passivity-based neurodynamic approach," Energy, Elsevier, vol. 257(C).
    3. Sophie Adams & Donal Brown & Juan Pablo Cárdenas Álvarez & Ruzanna Chitchyan & Michael J. Fell & Ulf J. J. Hahnel & Kristina Hojckova & Charlotte Johnson & Lurian Klein & Mehdi Montakhabi & Kelvin Say, 2021. "Social and Economic Value in Emerging Decentralized Energy Business Models: A Critical Review," Energies, MDPI, vol. 14(23), pages 1-29, November.
    4. Zhang, Wen-Yi & Zheng, Boshen & Wei, Wei & Chen, Laijun & Mei, Shengwei, 2022. "Peer-to-peer transactive mechanism for residential shared energy storage," Energy, Elsevier, vol. 246(C).
    5. Ma, Ye & Chi, Yuanying & Wu, Di & Peng, Rui & Wu, Shaomin, 2021. "Reliability of integrated electricity and gas supply system with performance substitution and sharing mechanisms," Reliability Engineering and System Safety, Elsevier, vol. 212(C).
    6. Salla Annala & Lurian Klein & Luisa Matos & Sirpa Repo & Olli Kilkki & Arun Narayanan & Samuli Honkapuro, 2021. "Framework to Facilitate Electricity and Flexibility Trading within, to, and from Local Markets," Energies, MDPI, vol. 14(11), pages 1-20, May.
    7. Mehdinejad, Mehdi & Shayanfar, Heidarali & Mohammadi-Ivatloo, Behnam, 2022. "Decentralized blockchain-based peer-to-peer energy-backed token trading for active prosumers," Energy, Elsevier, vol. 244(PA).
    8. Gjorgievski, Vladimir Z. & Cundeva, Snezana & Markovska, Natasa & Georghiou, George E., 2022. "Virtual net-billing: A fair energy sharing method for collective self-consumption," Energy, Elsevier, vol. 254(PB).
    9. Shama Naz Islam & Aiswarya Sivadas, 2022. "Optimisation of Buyer and Seller Preferences for Peer-to-Peer Energy Trading in a Microgrid," Energies, MDPI, vol. 15(12), pages 1-29, June.
    10. Lin, Chun-Cheng & Wu, Yi-Fang & Liu, Wan-Yu, 2021. "Optimal sharing energy of a complex of houses through energy trading in the Internet of energy," Energy, Elsevier, vol. 220(C).

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