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Demand Flexibility Enabled by Virtual Energy Storage to Improve Renewable Energy Penetration

Author

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  • Gabriele Fambri

    (Department of Energy, Politecnico di Torino, 10129 Torino, Italy)

  • Marco Badami

    (Department of Energy, Politecnico di Torino, 10129 Torino, Italy)

  • Dimosthenis Tsagkrasoulis

    (Hypertech Energy Labs, Hypertech SA, 15232 Chalandri, Greece)

  • Vasiliki Katsiki

    (Hypertech Energy Labs, Hypertech SA, 15232 Chalandri, Greece)

  • Georgios Giannakis

    (Hypertech Energy Labs, Hypertech SA, 15232 Chalandri, Greece)

  • Antonis Papanikolaou

    (Hypertech Energy Labs, Hypertech SA, 15232 Chalandri, Greece)

Abstract

The increasing resort to renewable energy distributed generation, which is needed to mitigate anthropogenic CO 2 emissions, leads to challenges concerning the proper operation of electric distribution systems. As a result of the intrinsic nature of Renewable Energy Sources (RESs), this generation shows a high volatility and a low predictability that make the balancing of energy production and consumption difficult. At the same time, the electrification of new energy-intensive sectors (such as heating) is expected. This complex scenario paves the way for new sources of flexibility that will have more and more relevance in the coming years. This paper analyses how the electrification of the heating system, combined with an electric flexibility utilisation module, can be used to mitigate the problems related to the fluctuating production of RES. By using Power-to-Heat (P2H) technologies, buildings are able to store the overproduction of RES in the form of thermal energy for end-use according to the principle of the so-called Virtual Energy Storage (VES). A context-aware demand flexibility extraction based on the VES model and the flexibility upscale and utilisation on district-level through grid simulation and energy flow optimisation is presented in the paper. The involved modules have been developed within the PLANET (PLAnning and operational tools for optimising energy flows and synergies between energy NETworks) H2020 European project and interact under a unified co-simulation framework with the PLANET Decision Support System (DSS) for the analysis of multi-energy scenarios. DSS has been used to simulate a realistic future energy scenario, according to which the imbalance problems triggered by RES overproduction are mitigated with the optimal exploitation of the demand flexibility enabled by VES.

Suggested Citation

  • Gabriele Fambri & Marco Badami & Dimosthenis Tsagkrasoulis & Vasiliki Katsiki & Georgios Giannakis & Antonis Papanikolaou, 2020. "Demand Flexibility Enabled by Virtual Energy Storage to Improve Renewable Energy Penetration," Energies, MDPI, vol. 13(19), pages 1-20, October.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:19:p:5128-:d:422867
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    References listed on IDEAS

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    1. De Luca, Giovanna & Ballarini, Ilaria & Lorenzati, Alice & Corrado, Vincenzo, 2020. "Renovation of a social house into a NZEB: Use of renewable energy sources and economic implications," Renewable Energy, Elsevier, vol. 159(C), pages 356-370.
    2. Cesar Diaz-Londono & Luigi Colangelo & Fredy Ruiz & Diego Patino & Carlo Novara & Gianfranco Chicco, 2019. "Optimal Strategy to Exploit the Flexibility of an Electric Vehicle Charging Station," Energies, MDPI, vol. 12(20), pages 1-29, October.
    3. Enescu, Diana, 2017. "A review of thermal comfort models and indicators for indoor environments," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 1353-1379.
    4. Marco Badami & Gabriele Fambri & Salvatore Mancò & Mariapia Martino & Ioannis G. Damousis & Dimitrios Agtzidis & Dimitrios Tzovaras, 2019. "A Decision Support System Tool to Manage the Flexibility in Renewable Energy-Based Power Systems," Energies, MDPI, vol. 13(1), pages 1-16, December.
    5. Badami, Marco & Fambri, Gabriele, 2019. "Optimising energy flows and synergies between energy networks," Energy, Elsevier, vol. 173(C), pages 400-412.
    6. Mateusz Andrychowicz, 2020. "Comparison of the Use of Energy Storages and Energy Curtailment as an Addition to the Allocation of Renewable Energy in the Distribution System in Order to Minimize Development Costs," Energies, MDPI, vol. 13(14), pages 1-20, July.
    7. Malte Meinshausen & Nicolai Meinshausen & William Hare & Sarah C. B. Raper & Katja Frieler & Reto Knutti & David J. Frame & Myles R. Allen, 2009. "Greenhouse-gas emission targets for limiting global warming to 2 °C," Nature, Nature, vol. 458(7242), pages 1158-1162, April.
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