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Business Models for Demand Response: Exploring the Economic Limits for Small- and Medium-Sized Prosumers

Author

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  • Guntram Pressmair

    (E7 Energy Innovation & Engineering, 1020 Vienna, Austria)

  • Christof Amann

    (E7 Energy Innovation & Engineering, 1020 Vienna, Austria)

  • Klemens Leutgöb

    (E7 Energy Innovation & Engineering, 1020 Vienna, Austria)

Abstract

The European energy transition increasingly requires flexibility to ensure reliable operation of the electricity system, making use of demand response, a promising concept. With technological advances in the fields of big data analysis and the internet of things, small- and medium-sized prosumers could also provide flexibility services through aggregators. A lot of conceptual work has been conducted recently to formulate business models in this context, but their viability still remains unclear. In this paper, a quantitative validation is conducted of two business models that are frequently proposed in the scientific discussion. The aim of this work is to explore the economic limits of these business models and show under which conditions they can be profitable for small- and medium-sized prosumers. For this purpose, a multi-level contribution margin calculation for several scenarios, customer segments and target markets is conducted. The results show that the profitability for the participation of small loads is still very low under current market conditions. Especially for household consumers, transaction costs are too high to be covered by the revenues. Considering the quantitative results, in the future profitable business cases can only be expected for medium-sized tertiary consumers.

Suggested Citation

  • Guntram Pressmair & Christof Amann & Klemens Leutgöb, 2021. "Business Models for Demand Response: Exploring the Economic Limits for Small- and Medium-Sized Prosumers," Energies, MDPI, vol. 14(21), pages 1-28, October.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:21:p:7085-:d:668334
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    References listed on IDEAS

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    1. Behrangrad, Mahdi, 2015. "A review of demand side management business models in the electricity market," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 270-283.
    2. Behnaz Behi & Ali Baniasadi & Ali Arefi & Arian Gorjy & Philip Jennings & Almantas Pivrikas, 2020. "Cost–Benefit Analysis of a Virtual Power Plant Including Solar PV, Flow Battery, Heat Pump, and Demand Management: A Western Australian Case Study," Energies, MDPI, vol. 13(10), pages 1-24, May.
    3. Iria, José & Soares, Filipe & Matos, Manuel, 2019. "Optimal bidding strategy for an aggregator of prosumers in energy and secondary reserve markets," Applied Energy, Elsevier, vol. 238(C), pages 1361-1372.
    4. Lu, Xiaoxing & Li, Kangping & Xu, Hanchen & Wang, Fei & Zhou, Zhenyu & Zhang, Yagang, 2020. "Fundamentals and business model for resource aggregator of demand response in electricity markets," Energy, Elsevier, vol. 204(C).
    5. Parrish, Bryony & Heptonstall, Phil & Gross, Rob & Sovacool, Benjamin K., 2020. "A systematic review of motivations, enablers and barriers for consumer engagement with residential demand response," Energy Policy, Elsevier, vol. 138(C).
    6. Zheng Ma & Joy Dalmacio Billanes & Bo Nørregaard Jørgensen, 2017. "Aggregation Potentials for Buildings—Business Models of Demand Response and Virtual Power Plants," Energies, MDPI, vol. 10(10), pages 1-19, October.
    7. Li, Weilin & Xu, Peng & Lu, Xing & Wang, Huilong & Pang, Zhihong, 2016. "Electricity demand response in China: Status, feasible market schemes and pilots," Energy, Elsevier, vol. 114(C), pages 981-994.
    8. Qi, Ning & Cheng, Lin & Xu, Helin & Wu, Kuihua & Li, XuLiang & Wang, Yanshuo & Liu, Rui, 2020. "Smart meter data-driven evaluation of operational demand response potential of residential air conditioning loads," Applied Energy, Elsevier, vol. 279(C).
    9. Specht, Jan Martin & Madlener, Reinhard, 2019. "Energy Supplier 2.0: A conceptual business model for energy suppliers aggregating flexible distributed assets and policy issues raised," Energy Policy, Elsevier, vol. 135(C).
    10. Kody T. Ponds & Ali Arefi & Ali Sayigh & Gerard Ledwich, 2018. "Aggregator of Demand Response for Renewable Integration and Customer Engagement: Strengths, Weaknesses, Opportunities, and Threats," Energies, MDPI, vol. 11(9), pages 1-20, September.
    11. Bert Willems & Juulia Zhou, 2020. "The Clean Energy Package and Demand Response: Setting Correct Incentives," Energies, MDPI, vol. 13(21), pages 1-19, October.
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