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Estimation of the Heat Loss Coefficient of Two Occupied Residential Buildings through an Average Method

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Listed:
  • Irati Uriarte

    (ENEDI Research Group, Department of Energy Engineering, University of the Basque Country (UPV/EHU), Plaza Torres Quevedo 1, 48013 Bilbao, Spain)

  • Aitor Erkoreka

    (ENEDI Research Group, Department of Energy Engineering, University of the Basque Country (UPV/EHU), Plaza Torres Quevedo 1, 48013 Bilbao, Spain)

  • Pablo Eguia

    (Department of Mechanical Engineering, Heat Engines and Fluid Mechanics, School of Industrial Engineering, University of Vigo, 36310 Vigo, Spain)

  • Enrique Granada

    (Department of Mechanical Engineering, Heat Engines and Fluid Mechanics, School of Industrial Engineering, University of Vigo, 36310 Vigo, Spain)

  • Koldo Martin-Escudero

    (ENEDI Research Group, Department of Energy Engineering, University of the Basque Country (UPV/EHU), Plaza Torres Quevedo 1, 48013 Bilbao, Spain)

Abstract

The existing performance gap between the design and the real energy consumption of a building could have three main origins: the occupants’ behaviour, the performance of the energy systems and the performance of the building envelope. Through the estimation of the in-use Heat Loss Coefficient (HLC), it is possible to characterise the building’s envelope energy performance under occupied conditions. In this research, the estimation of the HLC of two individual residential buildings located in Gainsborough and Loughborough (UK) was carried out using an average method. This average method was developed and successfully tested in previous research for an occupied four-story office building with very different characteristics to individual residential buildings. Furthermore, one of the analysed residential buildings is a new, well-insulated building, while the other represents the old, poorly insulated semidetached residential building typology. Thus, the monitored data provided were filtered in order to apply the abovementioned average method. Even without fulfilling all the average method requirements for these two residential buildings, the method provides reliable HLC values for both residential buildings. For the house in Gainsborough, the best estimated HLC value was 60.2 W/K, while the best approach for Loughborough was 366.6 W/K. Thus, despite the uncertainty sources found during the analysis, the method seems promising for its application to residential buildings.

Suggested Citation

  • Irati Uriarte & Aitor Erkoreka & Pablo Eguia & Enrique Granada & Koldo Martin-Escudero, 2020. "Estimation of the Heat Loss Coefficient of Two Occupied Residential Buildings through an Average Method," Energies, MDPI, vol. 13(21), pages 1-17, November.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:21:p:5724-:d:438794
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    References listed on IDEAS

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    1. Hemsath, Timothy L. & Alagheband Bandhosseini, Kaveh, 2015. "Sensitivity analysis evaluating basic building geometry's effect on energy use," Renewable Energy, Elsevier, vol. 76(C), pages 526-538.
    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. Santu Golder & Ramadas Narayanan & Md. Rashed Hossain & Mohammad Rofiqul Islam, 2021. "Experimental and CFD Investigation on the Application for Aerogel Insulation in Buildings," Energies, MDPI, vol. 14(11), pages 1-16, June.

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