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Quantifying the Economic Advantages of Energy Management Systems for Domestic Prosumers with Electric Vehicles

Author

Listed:
  • Domenico Gioffrè

    (Department of Energy, Politecnico di Milano, 20156 Milan, Italy)

  • Giampaolo Manzolini

    (Department of Energy, Politecnico di Milano, 20156 Milan, Italy)

  • Sonia Leva

    (Department of Energy, Politecnico di Milano, 20156 Milan, Italy)

  • Rémi Jaboeuf

    (Edison Spa, 20121 Milan, Italy)

  • Paolo Tosco

    (Edison Spa, 20121 Milan, Italy)

  • Emanuele Martelli

    (Department of Energy, Politecnico di Milano, 20156 Milan, Italy)

Abstract

The increasing adoption of intermittent renewable energy sources and electric vehicles in households necessitates effective energy management systems (EMS) in the residential sector. This study quantifies the economic benefits of using a state-of-the-art EMS for optimally controlling a grid-connected smart home, which includes PV panels, a battery, and an EV charging station with either monodirectional or bidirectional charging modes. The EMS uses a two-layer approach: the first layer handles strategic decisions with day-ahead forecasts and solving a mixed-integer linear program (MILP) model; the second layer manages the real-time control decisions based on a heuristic strategy. Tested on 396 real-world case studies (based on measured data) with varying user types and energy systems (different PV plant sizes, with or without BESS, and different EV charging modes), different EV models, and weekly commutes, the results demonstrate the EMS’s cost-effectiveness compared to current non-predictive heuristic strategies. Annual cost savings exceed 20% in all cases and reach up to 900 €/year for configurations with large (6 kW) PV plants. Additionally, while installing a battery is not economically advantageous, bidirectional EV chargers yield 10–15% additional savings compared to monodirectional chargers, increasing with more weekly remote working days.

Suggested Citation

  • Domenico Gioffrè & Giampaolo Manzolini & Sonia Leva & Rémi Jaboeuf & Paolo Tosco & Emanuele Martelli, 2025. "Quantifying the Economic Advantages of Energy Management Systems for Domestic Prosumers with Electric Vehicles," Energies, MDPI, vol. 18(7), pages 1-34, April.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:7:p:1774-:d:1626219
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    References listed on IDEAS

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    2. Thomas, Dimitrios & Deblecker, Olivier & Ioakimidis, Christos S., 2018. "Optimal operation of an energy management system for a grid-connected smart building considering photovoltaics’ uncertainty and stochastic electric vehicles’ driving schedule," Applied Energy, Elsevier, vol. 210(C), pages 1188-1206.
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