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Smart charging business model framework for electric vehicle aggregators

Author

Listed:
  • Afentoulis, Konstantinos D.
  • Bampos, Zafeirios N.
  • Vagropoulos, Stylianos I.
  • Keranidis, Stratos D.
  • Biskas, Pantelis N.

Abstract

The massive, uncontrolled charging of numerous plug-in electric vehicles is expected to have an adverse impact on the reliable operation of the electricity networks. The flexible and coordinated management of the charging process, also known as smart charging, is a promising solution that provides the system and network operators with additional flexibility and the electric vehicle users with reduced charging costs. The Electric Vehicle Aggregator (EVA) is the entity that is able to exploit the flexibility potential of smart charging, by optimally managing the complex smart charging process over a distributed network of connected charging stations. Given the inherent complexity and requirements of managing the smart charging process at scale, it is critical for EVAs under development to adopt a well-defined business model that is carefully designed and adapted to the unique needs of their business. Towards this direction, this paper proposes a novel Business Model Framework that is customized for designing and developing viable business models for EVAs. The proposed framework is based on the value proposition, creation and delivery, and ultimately on the value capture, enabling EVAs to identify and unlock the untapped potential of flexible charging in wholesale electricity markets. Thus, it can serve as a roadmap for entities interested in fostering smart charging services. The key aspects of the proposed framework are described in detail, putting an emphasis on the interactions of EVAs with the e-mobility ecosystem. Finally, the proposed framework is utilized to examine one business model for the EVA participation in the EU-based balancing market, using actual market signals and settlement rules, highlighting its practicality under real-world conditions.

Suggested Citation

  • Afentoulis, Konstantinos D. & Bampos, Zafeirios N. & Vagropoulos, Stylianos I. & Keranidis, Stratos D. & Biskas, Pantelis N., 2022. "Smart charging business model framework for electric vehicle aggregators," Applied Energy, Elsevier, vol. 328(C).
  • Handle: RePEc:eee:appene:v:328:y:2022:i:c:s0306261922014362
    DOI: 10.1016/j.apenergy.2022.120179
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    References listed on IDEAS

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    1. Bertrand Moingeon & Muhammad Yunus & Laurence Lehmann-Ortega, 2010. "Building Social Business Models: Lessons from the Grameen Experience," Post-Print hal-00528385, HAL.
    2. Barbero, Mattia & Corchero, Cristina & Canals Casals, Lluc & Igualada, Lucia & Heredia, F.-Javier, 2020. "Critical evaluation of European balancing markets to enable the participation of Demand Aggregators," Applied Energy, Elsevier, vol. 264(C).
    3. Thomas, Dimitrios & D’Hoop, Gaspard & Deblecker, Olivier & Genikomsakis, Konstantinos N. & Ioakimidis, Christos S., 2020. "An integrated tool for optimal energy scheduling and power quality improvement of a microgrid under multiple demand response schemes," Applied Energy, Elsevier, vol. 260(C).
    4. Guille, Christophe & Gross, George, 2009. "A conceptual framework for the vehicle-to-grid (V2G) implementation," Energy Policy, Elsevier, vol. 37(11), pages 4379-4390, November.
    5. 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).
    6. Goodarzi, Shadi & Perera, H. Niles & Bunn, Derek, 2019. "The impact of renewable energy forecast errors on imbalance volumes and electricity spot prices," Energy Policy, Elsevier, vol. 134(C).
    7. McPherson, Madeleine & Stoll, Brady, 2020. "Demand response for variable renewable energy integration: A proposed approach and its impacts," Energy, Elsevier, vol. 197(C).
    8. Wong, Stephen D. PhD & Shaheen, Susan A. PhD & Martin, Elliot PhD & Uyeki, Robert, 2023. "Do Incentives Make a Difference? Understanding Smart Charging Program Adoption for Electric Vehicles," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt98z4b5rr, Institute of Transportation Studies, UC Berkeley.
    9. Vincent Barthel & Jonas Schlund & Philipp Landes & Veronika Brandmeier & Marco Pruckner, 2021. "Analyzing the Charging Flexibility Potential of Different Electric Vehicle Fleets Using Real-World Charging Data," Energies, MDPI, vol. 14(16), pages 1-16, August.
    10. Visser, L.R. & Kootte, M.E. & Ferreira, A.C. & Sicurani, O. & Pauwels, E.J. & Vuik, C. & Van Sark, W.G.J.H.M. & AlSkaif, T.A., 2022. "An operational bidding framework for aggregated electric vehicles on the electricity spot market," Applied Energy, Elsevier, vol. 308(C).
    11. Alexandre Lucas & Ricardo Barranco & Nazir Refa, 2019. "EV Idle Time Estimation on Charging Infrastructure, Comparing Supervised Machine Learning Regressions," Energies, MDPI, vol. 12(2), pages 1-17, January.
    12. Maheshwari, Arpit & Paterakis, Nikolaos G. & Santarelli, Massimo & Gibescu, Madeleine, 2020. "Optimizing the operation of energy storage using a non-linear lithium-ion battery degradation model," Applied Energy, Elsevier, vol. 261(C).
    13. Torriti, Jacopo & Hassan, Mohamed G. & Leach, Matthew, 2010. "Demand response experience in Europe: Policies, programmes and implementation," Energy, Elsevier, vol. 35(4), pages 1575-1583.
    14. Cai, Sinan & Matsuhashi, Ryuji, 2022. "Optimal dispatching control of EV aggregators for load frequency control with high efficiency of EV utilization," Applied Energy, Elsevier, vol. 319(C).
    15. Juan A. Dominguez-Jimenez & Javier E. Campillo & Oscar Danilo Montoya & Enrique Delahoz & Jesus C. Hernández, 2020. "Seasonality Effect Analysis and Recognition of Charging Behaviors of Electric Vehicles: A Data Science Approach," Sustainability, MDPI, vol. 12(18), pages 1-18, September.
    16. 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.
    17. Jeannie Oliver & Benjamin Sovacool, 2017. "The Energy Trilemma and the Smart Grid: Implications Beyond the United States," Asia and the Pacific Policy Studies, Wiley Blackwell, vol. 4(1), pages 70-84, January.
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    Cited by:

    1. Adrian Chmielewski & Piotr Piórkowski & Jakub Możaryn & Stepan Ozana, 2023. "Sustainable Development of Operational Infrastructure for Electric Vehicles: A Case Study for Poland," Energies, MDPI, vol. 16(11), pages 1-43, June.

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