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Optimised Heat Pump Management for Increasing Photovoltaic Penetration into the Electricity Grid

Author

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  • Cristian Sánchez

    (École Polytechnique Fédérale de Lausanne (EPFL), Institute of Microengineering (IMT), Photovoltaics and thin film electronics laboratory (PV-LAB), Rue de la Maladière 71b, 2000 Neuchâtel, Switzerland)

  • Lionel Bloch

    (École Polytechnique Fédérale de Lausanne (EPFL), Institute of Microengineering (IMT), Photovoltaics and thin film electronics laboratory (PV-LAB), Rue de la Maladière 71b, 2000 Neuchâtel, Switzerland)

  • Jordan Holweger

    (École Polytechnique Fédérale de Lausanne (EPFL), Institute of Microengineering (IMT), Photovoltaics and thin film electronics laboratory (PV-LAB), Rue de la Maladière 71b, 2000 Neuchâtel, Switzerland)

  • Christophe Ballif

    (École Polytechnique Fédérale de Lausanne (EPFL), Institute of Microengineering (IMT), Photovoltaics and thin film electronics laboratory (PV-LAB), Rue de la Maladière 71b, 2000 Neuchâtel, Switzerland
    Centre Suisse d’Electronique et de Microtechnique (CSEM), PV-Center, Rue Jaquet-Droz 1, 2000 Neuchâtel, Switzerland)

  • Nicolas Wyrsch

    (École Polytechnique Fédérale de Lausanne (EPFL), Institute of Microengineering (IMT), Photovoltaics and thin film electronics laboratory (PV-LAB), Rue de la Maladière 71b, 2000 Neuchâtel, Switzerland)

Abstract

Advanced control of heat pumps with thermal storage and photovoltaics has recently been promoted as a promising solution to help decarbonise the residential sector. Heat pumps and thermal storage offer a valuable flexibilisation mean to integrate stochastic renewable energy sources into the electricity grid. Heat pump energy conversion is nonlinear, leading to a challenging nonlinear optimisation problem. However, issues like global optimum uncertainty and the time-consuming methods of current nonlinear programming solvers draw researchers to linearise heat pump models that are then implemented in faster and globally convergent linear programming solvers. Nevertheless, these linearisations generate some inaccuracies, especially in the calculation of the heat pump’s coefficient of performance ( C O P ). In order to solve all of these issues, this paper presents a heuristic control algorithm (HCA) to provide a fast, accurate and near-optimal solution to the original nonlinear optimisation problem for a single-family house with a photovoltaic system, using real consumption data from a typical Swiss house. Results highlight that the HCA solves this optimisation problem up to 1000 times faster, yielding an operation that is up to 49% cheaper and self-consumption rates that are 5% greater than other nonlinear solvers. Comparing the performance of the HCA and the linear solver intlinprog, it is shown that the HCA provides more accurate heat pump control with an increase of up to 9% in system Operating Expense OPEX and a decrease of 8% in self-consumption values.

Suggested Citation

  • Cristian Sánchez & Lionel Bloch & Jordan Holweger & Christophe Ballif & Nicolas Wyrsch, 2019. "Optimised Heat Pump Management for Increasing Photovoltaic Penetration into the Electricity Grid," Energies, MDPI, vol. 12(8), pages 1-22, April.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:8:p:1571-:d:225846
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    References listed on IDEAS

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    Cited by:

    1. Esmaeil Ahmadi & Younes Noorollahi & Behnam Mohammadi-Ivatloo & Amjad Anvari-Moghaddam, 2020. "Stochastic Operation of a Solar-Powered Smart Home: Capturing Thermal Load Uncertainties," Sustainability, MDPI, vol. 12(12), pages 1-18, June.
    2. Knuutinen, Jere & Böök, Herman & Ruuskanen, Vesa & Kosonen, Antti & Immonen, Paula & Ahola, Jero, 2021. "Ground source heat pump control methods for solar photovoltaic-assisted domestic hot water heating," Renewable Energy, Elsevier, vol. 177(C), pages 732-742.
    3. Dengiz, Thomas & Jochem, Patrick & Fichtner, Wolf, 2021. "Demand response through decentralized optimization in residential areas with wind and photovoltaics," Energy, Elsevier, vol. 223(C).
    4. Tom Simko & Mark B. Luther & Hong Xian Li & Peter Horan, 2021. "Applying Solar PV to Heat Pump and Storage Technologies in Australian Houses," Energies, MDPI, vol. 14(17), pages 1-18, September.
    5. 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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