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Determining the U -Value of Façades Using the Thermometric Method: Potentials and Limitations

Author

Listed:
  • David Bienvenido-Huertas

    (Department of Graphical Expression and Building Engineering, University of Seville, 41012 Seville, Spain)

  • Roberto Rodríguez-Álvaro

    (Department of Civil Engineering, Universidade da Coruña, 15071 A Coruña, Spain)

  • Juan José Moyano

    (Department of Graphical Expression and Building Engineering, University of Seville, 41012 Seville, Spain)

  • Fernando Rico

    (Department of Graphical Expression and Building Engineering, University of Seville, 41012 Seville, Spain)

  • David Marín

    (Department of Graphical Expression and Building Engineering, University of Seville, 41012 Seville, Spain)

Abstract

The thermal transmittance of building envelopes determines to a large extent the energy demand of buildings. Thus, there is a keen interest in having methods which can precisely evaluate thermal transmittance. From a scientific point of view, this study analyses the viability of the application of the thermometric method (THM), one of the most used methods in Spain. For this purpose, the test method has been improved by determining the adequate test conditions, the selection and installation of equipment, data acquisition and post-processing, and the estimation of uncertainty. We analyse eight case studies in a Mediterranean climate (Csa) to determine the potentials and limitations of the method. The results show that the values obtained through THM are valid under winter environmental conditions with relative uncertainties between 6% and 13%, while difficulties to perform the test in optimal conditions, and therefore to obtain valid results in warmer seasons, are detected. In this regard, the case studies which obtained a greater number of observations by performing the filtrate conditions were able to obtain representative results. Furthermore, there are significant differences depending on the kind of equipment and probes used during the experimental campaign. Finally, in warm climate regions a data filtrate can be considered for observations of a temperature difference higher than 5 °C, obtaining valid results for the case studies, although the rise in the thermal gradient can guarantee a greater stability of data.

Suggested Citation

  • David Bienvenido-Huertas & Roberto Rodríguez-Álvaro & Juan José Moyano & Fernando Rico & David Marín, 2018. "Determining the U -Value of Façades Using the Thermometric Method: Potentials and Limitations," Energies, MDPI, vol. 11(2), pages 1-17, February.
  • Handle: RePEc:gam:jeners:v:11:y:2018:i:2:p:360-:d:130130
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    References listed on IDEAS

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    1. Giuliano Dall'O' & Luca Sarto & Angela Panza, 2013. "Infrared Screening of Residential Buildings for Energy Audit Purposes: Results of a Field Test," Energies, MDPI, vol. 6(8), pages 1-20, July.
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    4. Fokaides, Paris A. & Kalogirou, Soteris A., 2011. "Application of infrared thermography for the determination of the overall heat transfer coefficient (U-Value) in building envelopes," Applied Energy, Elsevier, vol. 88(12), pages 4358-4365.
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    6. Doo Sung Choi & Myeong Jin Ko, 2017. "Comparison of Various Analysis Methods Based on Heat Flowmeters and Infrared Thermography Measurements for the Evaluation of the In Situ Thermal Transmittance of Opaque Exterior Walls," Energies, MDPI, vol. 10(7), pages 1-22, July.
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    Cited by:

    1. Andrea Salandin & Alberto Quintana-Gallardo & Vicente Gómez-Lozano & Ignacio Guillén-Guillamón, 2022. "The First 3D-Printed Building in Spain: A Study on Its Acoustic, Thermal and Environmental Performance," Sustainability, MDPI, vol. 14(20), pages 1-20, October.
    2. Yutong Li & Atsushi Teramoto & Takaaki Ohkubo & Akihiro Sugiyama, 2022. "Estimation of Indoor Temperature Increments in Summers Using Heat-Flow Sensors to Assess the Impact of Roof Slab Insulation Methods," Sustainability, MDPI, vol. 14(22), pages 1-23, November.
    3. Bienvenido-Huertas, David & Moyano, Juan & Rodríguez-Jiménez, Carlos E. & Marín, David, 2019. "Applying an artificial neural network to assess thermal transmittance in walls by means of the thermometric method," Applied Energy, Elsevier, vol. 233, pages 1-14.
    4. Martin, Miguel & Chong, Adrian & Biljecki, Filip & Miller, Clayton, 2022. "Infrared thermography in the built environment: A multi-scale review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 165(C).
    5. Bienvenido-Huertas, David & Moyano, Juan & Marín, David & Fresco-Contreras, Rafael, 2019. "Review of in situ methods for assessing the thermal transmittance of walls," Renewable and Sustainable Energy Reviews, Elsevier, vol. 102(C), pages 356-371.

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