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Influence of Initial and Boundary Conditions on the Accuracy of the QUB Method to Determine the Overall Heat Loss Coefficient of a Building

Author

Listed:
  • Naveed Ahmad

    (INSA-Lyon, Université Claude Bernard Lyon 1, CETHIL, UMR5008, F-69621 Villeurbanne, France)

  • Christian Ghiaus

    (INSA-Lyon, Université Claude Bernard Lyon 1, CETHIL, UMR5008, F-69621 Villeurbanne, France)

  • Thimothée Thiery

    (Saint-Gobain Research, 39 quai Lucien Lefranc, CEDEX 93303 Aubervilliers, France)

Abstract

The quick U-building (QUB) method is used to measure the overall heat loss coefficient of buildings during one to two nights by applying heating power and by measuring the indoor and the outdoor temperatures. In this paper, the numerical model of a real house, previously validated on experimental data, is used to conduct several numerical QUB experiments. The results show that, to some extent, the accuracy of QUB method depends on the boundary conditions (solar radiation), initial conditions (initial power and temperature distribution in the walls) and on the design of QUB experiment (heating power and duration). QUB method shows robustness to variation in the value of the overall heat loss coefficient for which the experiment was designed and in the variation of optimum power for the QUB experiments. The variations in the QUB method results are smaller on cloudy than on sunny days, the error being reduced from about 10% to about 7%. A correction is proposed for the solar radiation absorbed by the wall that contributes to the evolution of air temperature during the heating phase.

Suggested Citation

  • Naveed Ahmad & Christian Ghiaus & Thimothée Thiery, 2020. "Influence of Initial and Boundary Conditions on the Accuracy of the QUB Method to Determine the Overall Heat Loss Coefficient of a Building," Energies, MDPI, vol. 13(1), pages 1-24, January.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:1:p:284-:d:305797
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    References listed on IDEAS

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    1. Enrico Fabrizio & Valentina Monetti, 2015. "Methodologies and Advancements in the Calibration of Building Energy Models," Energies, MDPI, vol. 8(4), pages 1-27, March.
    2. Menezes, Anna Carolina & Cripps, Andrew & Bouchlaghem, Dino & Buswell, Richard, 2012. "Predicted vs. actual energy performance of non-domestic buildings: Using post-occupancy evaluation data to reduce the performance gap," Applied Energy, Elsevier, vol. 97(C), pages 355-364.
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    Cited by:

    1. Massimiliano Manfren & Maurizio Sibilla & Lamberto Tronchin, 2021. "Energy Modelling and Analytics in the Built Environment—A Review of Their Role for Energy Transitions in the Construction Sector," Energies, MDPI, vol. 14(3), pages 1-29, January.
    2. Dorota Chwieduk & Michał Chwieduk, 2020. "Determination of the Energy Performance of a Solar Low Energy House with Regard to Aspects of Energy Efficiency and Smartness of the House," Energies, MDPI, vol. 13(12), pages 1-18, June.
    3. Evi Lambie & Dirk Saelens, 2020. "Identification of the Building Envelope Performance of a Residential Building: A Case Study," Energies, MDPI, vol. 13(10), pages 1-28, May.
    4. Naveed Ahmad & Christian Ghiaus & Moomal Qureshi, 2020. "Error Analysis of QUB Method in Non-Ideal Conditions during the Experiment," Energies, MDPI, vol. 13(13), pages 1-17, July.

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