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Analysis of Building Parameter Uncertainty in District Heating for Optimal Control of Network Flexibility

Author

Listed:
  • Annelies Vandermeulen

    (EnergyVille, Thor Park 8310, 3600 Genk, Belgium
    Department of Mechanical Engineering, KU Leuven, Celestijnenlaan 300, P.O. Box 2421, 3001 Leuven, Belgium
    Flemish Institute for Technological Research (VITO), Boeretang 200, 2400 Mol, Belgium)

  • Ina De Jaeger

    (EnergyVille, Thor Park 8310, 3600 Genk, Belgium
    Flemish Institute for Technological Research (VITO), Boeretang 200, 2400 Mol, Belgium
    Department of Civil Engineering, Building Physics Section, KU Leuven, Kasteelpark Arenberg 40, P.O. Box 2447, 3001 Leuven, Belgium)

  • Tijs Van Oevelen

    (EnergyVille, Thor Park 8310, 3600 Genk, Belgium
    Flemish Institute for Technological Research (VITO), Boeretang 200, 2400 Mol, Belgium)

  • Dirk Saelens

    (EnergyVille, Thor Park 8310, 3600 Genk, Belgium
    Department of Civil Engineering, Building Physics Section, KU Leuven, Kasteelpark Arenberg 40, P.O. Box 2447, 3001 Leuven, Belgium)

  • Lieve Helsen

    (EnergyVille, Thor Park 8310, 3600 Genk, Belgium
    Department of Mechanical Engineering, KU Leuven, Celestijnenlaan 300, P.O. Box 2421, 3001 Leuven, Belgium)

Abstract

Network flexibility is the use of the thermal capacity of water that is contained in the district heating network pipes to store energy and shift the heat load in time. Through optimal control, this network flexibility can aid in applications such as peak shaving and operational heat pump optimisation. Yet, optimal control requires perfect predictions and complete knowledge of the system characteristics. In reality, this is not the case and uncertainties exist. To obtain insight into the importance of these uncertainties, this paper studies the influence of imperfect knowledge of building parameters on the optimal network flexibility activation and its performance. It is found that for the optimisation of heat pump operation, building parameter uncertainties do not present large risks. For peak shaving, a more robust result can be achieved by activating more network flexibility than may be required.

Suggested Citation

  • Annelies Vandermeulen & Ina De Jaeger & Tijs Van Oevelen & Dirk Saelens & Lieve Helsen, 2020. "Analysis of Building Parameter Uncertainty in District Heating for Optimal Control of Network Flexibility," Energies, MDPI, vol. 13(23), pages 1-25, November.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:23:p:6220-:d:451411
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    References listed on IDEAS

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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.

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