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A More Realistic Heat Pump Control Approach by Application of an Integrated Two-Part Control

Author

Listed:
  • Maximilian Schulz

    (Institute of Energy Economics and Rational Energy Use (IER), University Stuttgart, 70565 Stuttgart, Germany)

  • Thomas Kemmler

    (Reutlingen Center for Energy Research (REZ), Reutlingen University, 72762 Reutlingen, Germany)

  • Julia Kumm

    (Institute of Energy Economics and Rational Energy Use (IER), University Stuttgart, 70565 Stuttgart, Germany)

  • Kai Hufendiek

    (Institute of Energy Economics and Rational Energy Use (IER), University Stuttgart, 70565 Stuttgart, Germany)

  • Bernd Thomas

    (Reutlingen Center for Energy Research (REZ), Reutlingen University, 72762 Reutlingen, Germany)

Abstract

Heat pumps are a vital element for reaching the greenhouse gas (GHG) reduction targets in the heating sector, but their system integration requires smart control approaches. In this paper, we first offer a comprehensive literature review and definition of the term control for the described context. Additionally, we present a control approach, which consists of an optimal scheduling module coupled with a detailed energy system simulation module. The aim of this integrated two-part control approach is to improve the performance of an energy system equipped with a heat pump, while recognizing the technical boundaries of the energy system in full detail. By applying this control to a typical family household situation, we illustrate that this integrated approach results in a more realistic heat pump operation and thus a more realistic assessment of the control performance, while still achieving lower operational costs.

Suggested Citation

  • Maximilian Schulz & Thomas Kemmler & Julia Kumm & Kai Hufendiek & Bernd Thomas, 2020. "A More Realistic Heat Pump Control Approach by Application of an Integrated Two-Part Control," Energies, MDPI, vol. 13(11), pages 1-22, June.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:11:p:2752-:d:365575
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    References listed on IDEAS

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    1. Dengiz, Thomas & Jochem, Patrick & Fichtner, Wolf, 2019. "Demand response with heuristic control strategies for modulating heat pumps," Applied Energy, Elsevier, vol. 238(C), pages 1346-1360.
    2. Harish, V.S.K.V. & Kumar, Arun, 2016. "A review on modeling and simulation of building energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 1272-1292.
    3. Fischer, David & Bernhardt, Josef & Madani, Hatef & Wittwer, Christof, 2017. "Comparison of control approaches for variable speed air source heat pumps considering time variable electricity prices and PV," Applied Energy, Elsevier, vol. 204(C), pages 93-105.
    4. Fischer, David & Madani, Hatef, 2017. "On heat pumps in smart grids: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 342-357.
    5. Psimopoulos, Emmanouil & Bee, Elena & Widén, Joakim & Bales, Chris, 2019. "Techno-economic analysis of control algorithms for an exhaust air heat pump system for detached houses coupled to a photovoltaic system," Applied Energy, Elsevier, vol. 249(C), pages 355-367.
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    Cited by:

    1. Maximilian Schulz & Kai Hufendiek, 2021. "Discussing the Actual Impact of Optimizing Cost and GHG Emission Minimal Charging of Electric Vehicles in Distributed Energy Systems," Energies, MDPI, vol. 14(3), pages 1-20, February.
    2. Christoph Schick & Nikolai Klempp & Kai Hufendiek, 2021. "Impact of Network Charge Design in an Energy System with Large Penetration of Renewables and High Prosumer Shares," Energies, MDPI, vol. 14(21), pages 1-26, October.
    3. Maier, Laura & Schönegge, Marius & Henn, Sarah & Hering, Dominik & Müller, Dirk, 2022. "Assessing mixed-integer-based heat pump modeling approaches for model predictive control applications in buildings," Applied Energy, Elsevier, vol. 326(C).

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