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Large-scale demonstration of precise demand response provided by residential heat pumps

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  • Müller, F.L.
  • Jansen, B.

Abstract

Demand response can be an effective means for power system operators to compensate fluctuating renewable generation, to avoid grid congestion, and to cope with other contingencies. Buildings equipped with electric heating systems can provide demand-response services because their electricity consumption is inherently flexible due to their thermal inertia. This paper reports on the results of a large-scale demand-response demonstration involving a population of more than 300 residential buildings with heat pumps. Based on a procedure to autonomously estimate the electric flexibility of individual systems from energy meter data and outdoor air temperature measurements, we show how the aggregate demand-response potential of the systems can be quantified and predicted. The results of various experiments illustrate that load reductions of 40–65% of the total load can be achieved by throttling the heat pumps, and that these load reductions can be delivered precisely with a median absolute percentage error of below 7%. In addition, a rebound damping strategy is proposed that was shown to reduce the peak rebound power by 50% in practice.

Suggested Citation

  • Müller, F.L. & Jansen, B., 2019. "Large-scale demonstration of precise demand response provided by residential heat pumps," Applied Energy, Elsevier, vol. 239(C), pages 836-845.
  • Handle: RePEc:eee:appene:v:239:y:2019:i:c:p:836-845
    DOI: 10.1016/j.apenergy.2019.01.202
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    Cited by:

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    4. Héctor Marañón-Ledesma & Asgeir Tomasgard, 2019. "Analyzing Demand Response in a Dynamic Capacity Expansion Model for the European Power Market," Energies, MDPI, vol. 12(15), pages 1-24, August.
    5. Wang, Huilong & Wang, Shengwei & Tang, Rui, 2019. "Development of grid-responsive buildings: Opportunities, challenges, capabilities and applications of HVAC systems in non-residential buildings in providing ancillary services by fast demand responses," Applied Energy, Elsevier, vol. 250(C), pages 697-712.
    6. Beccali, Marco & Bellia, Laura & Fragliasso, Francesca & Bonomolo, Marina & Zizzo, Gaetano & Spada, Gennaro, 2020. "Assessing the lighting systems flexibility for reducing and managing the power peaks in smart grids," Applied Energy, Elsevier, vol. 268(C).
    7. Ziras, Charalampos & Heinrich, Carsten & Bindner, Henrik W., 2021. "Why baselines are not suited for local flexibility markets," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    8. Morell-Dameto, Nicolás & Chaves-Ávila, José Pablo & Gómez San Román, Tomás & Dueñas-Martínez, Pablo & Schittekatte, Tim, 2024. "Network tariff design with flexible customers: Ex-post pricing and a local network capacity market for customer response coordination," Energy Policy, Elsevier, vol. 184(C).
    9. Heinrich, Carsten & Ziras, Charalampos & Syrri, Angeliki L.A. & Bindner, Henrik W., 2020. "EcoGrid 2.0: A large-scale field trial of a local flexibility market," Applied Energy, Elsevier, vol. 261(C).
    10. Li, Han & Johra, Hicham & de Andrade Pereira, Flavia & Hong, Tianzhen & Le Dréau, Jérôme & Maturo, Anthony & Wei, Mingjun & Liu, Yapan & Saberi-Derakhtenjani, Ali & Nagy, Zoltan & Marszal-Pomianowska,, 2023. "Data-driven key performance indicators and datasets for building energy flexibility: A review and perspectives," Applied Energy, Elsevier, vol. 343(C).
    11. Singh Gaur, Ankita & Fitiwi, Desta & Curtis, John, 2019. "Heat pumps and their role in decarbonising heating Sector: a comprehensive review," Papers WP627, Economic and Social Research Institute (ESRI).
    12. Song, Yuguang & Chen, Fangjian & Xia, Mingchao & Chen, Qifang, 2022. "The interactive dispatch strategy for thermostatically controlled loads based on the source–load collaborative evolution," Applied Energy, Elsevier, vol. 309(C).
    13. Pied, Marie & Anjos, Miguel F. & Malhamé, Roland P., 2020. "A flexibility product for electric water heater aggregators on electricity markets," Applied Energy, Elsevier, vol. 280(C).
    14. Brudermueller, Tobias & Kreft, Markus & Fleisch, Elgar & Staake, Thorsten, 2023. "Large-scale monitoring of residential heat pump cycling using smart meter data," Applied Energy, Elsevier, vol. 350(C).
    15. O'Connell, Sarah & Reynders, Glenn & Keane, Marcus M., 2021. "Impact of source variability on flexibility for demand response," Energy, Elsevier, vol. 237(C).
    16. D’Ettorre, F. & Banaei, M. & Ebrahimy, R. & Pourmousavi, S. Ali & Blomgren, E.M.V. & Kowalski, J. & Bohdanowicz, Z. & Łopaciuk-Gonczaryk, B. & Biele, C. & Madsen, H., 2022. "Exploiting demand-side flexibility: State-of-the-art, open issues and social perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 165(C).
    17. Meesenburg, Wiebke & Markussen, Wiebke Brix & Ommen, Torben & Elmegaard, Brian, 2020. "Optimizing control of two-stage ammonia heat pump for fast regulation of power uptake," Applied Energy, Elsevier, vol. 271(C).

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