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Time-Dependent Flexibility Potential of Heat Pump Systems for Smart Energy System Operation

Author

Listed:
  • Sina Steinle

    (Institute of Electric Energy Systems and High-Voltage Technology, KIT, Engesserstrasse 11, 76131 Karlsruhe, Germany)

  • Martin Zimmerlin

    (Institute of Electric Energy Systems and High-Voltage Technology, KIT, Engesserstrasse 11, 76131 Karlsruhe, Germany)

  • Felicitas Mueller

    (Institute of Electric Energy Systems and High-Voltage Technology, KIT, Engesserstrasse 11, 76131 Karlsruhe, Germany)

  • Lukas Held

    (Institute of Electric Energy Systems and High-Voltage Technology, KIT, Engesserstrasse 11, 76131 Karlsruhe, Germany)

  • Michael R. Suriyah

    (Institute of Electric Energy Systems and High-Voltage Technology, KIT, Engesserstrasse 11, 76131 Karlsruhe, Germany)

  • Thomas Leibfried

    (Institute of Electric Energy Systems and High-Voltage Technology, KIT, Engesserstrasse 11, 76131 Karlsruhe, Germany)

Abstract

The integration of multiple energy sectors, such as electricity, heating, and mobility, into an overall smart energy system is a key part of the journey towards a fossil-free energy system. Exploiting the operational flexibility of these sectors will lead to the efficient operation of the integrated smart energy system. The use of heat pumps for the heating supply based on renewable energy resources is reasonable in many cases. Combining heat pumps with thermal storages, these systems can offer flexibility to an energy system based on fluctuating power generation. Flexibility can be defined as the capability to adapt an initial schedule in order to support the energy system in terms of the provision of power reserve. In this paper, an approach to determine the time-dependent flexibility potential of a heat pump system is presented. The optimization-based approach considers all the constraints resulting from the system topology, including the required heating demand of the connected building. As a result, constraints for the integration of the available flexibility in a modified Optimal Power Flow (OPF) calculation are given. These lead to the ensured feasibility of the flexibility provision without considering the system boundaries of the heat pump site within the OPF.

Suggested Citation

  • Sina Steinle & Martin Zimmerlin & Felicitas Mueller & Lukas Held & Michael R. Suriyah & Thomas Leibfried, 2020. "Time-Dependent Flexibility Potential of Heat Pump Systems for Smart Energy System Operation," Energies, MDPI, vol. 13(4), pages 1-13, February.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:4:p:903-:d:321929
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    References listed on IDEAS

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    1. Bloess, Andreas & Schill, Wolf-Peter & Zerrahn, Alexander, 2018. "Power-to-heat for renewable energy integration: A review of technologies, modeling approaches, and flexibility potentials," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 212, pages 1611-1626.
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    4. Lund, Peter D. & Lindgren, Juuso & Mikkola, Jani & Salpakari, Jyri, 2015. "Review of energy system flexibility measures to enable high levels of variable renewable electricity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 785-807.
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    Cited by:

    1. Zhengjie You & Michel Zade & Babu Kumaran Nalini & Peter Tzscheutschler, 2021. "Flexibility Estimation of Residential Heat Pumps under Heat Demand Uncertainty," Energies, MDPI, vol. 14(18), pages 1-19, September.
    2. You, Zhengjie & Lumpp, Sebastian Dirk & Doepfert, Markus & Tzscheutschler, Peter & Goebel, Christoph, 2024. "Leveraging flexibility of residential heat pumps through local energy markets," Applied Energy, Elsevier, vol. 355(C).
    3. Rafael Ninno Muniz & Stéfano Frizzo Stefenon & William Gouvêa Buratto & Ademir Nied & Luiz Henrique Meyer & Erlon Cristian Finardi & Ricardo Marino Kühl & José Alberto Silva de Sá & Brigida Ramati Per, 2020. "Tools for Measuring Energy Sustainability: A Comparative Review," Energies, MDPI, vol. 13(9), pages 1-27, May.
    4. Andiappan, Viknesh, 2022. "Optimization of smart energy systems based on response time and energy storage losses," Energy, Elsevier, vol. 258(C).

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