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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

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  • Doo Sung Choi

    (Department of Building Equipment & Fire Protection System, Chungwoon University, Incheon 22100, Korea)

  • Myeong Jin Ko

    (Nabi Building Environment & Equipment Design Consultant Co., Ltd, Seoul 06226, Korea)

Abstract

There are several methods to obtain the in situ thermal transmittance value (U-value) of building envelopes from on-site data, including the three approaches of the progressive average method, average method considering the thermal storage effect, and dynamic method for deriving the U-value from heat flowmeter (HFM) measurements and the four methods with different formulas to analyze infrared thermography (IRT) measurement data. Since each of these methods considers different parameters and the non-steady characteristics of the heat transfer in building walls in their own way, discrepancies may occur among the obtained results. This study evaluates and compares the in situ U-values by using various methods of analyzing HFM and IRT measurement data. Further, by investigating buildings with similar materials and identical stratigraphies, but with different construction years, we analyze the discrepancy between the designed and measured values caused by material deterioration and evaluate the errors according to the analysis method. The percentage deviation between the U-values obtained by the three methods from the HFM data is found to be satisfactory, being within 10%. When compared with the results of the progressive average method, the deviations for the four different IRT-measurement-based methods vary greatly, being in the range of 6–43%.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:7:p:1019-:d:104993
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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.
    2. Albatici, Rossano & Tonelli, Arnaldo M. & Chiogna, Michela, 2015. "A comprehensive experimental approach for the validation of quantitative infrared thermography in the evaluation of building thermal transmittance," Applied Energy, Elsevier, vol. 141(C), pages 218-228.
    3. 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.
    4. Luca Evangelisti & Claudia Guattari & Paola Gori & Roberto De Lieto Vollaro, 2015. "In Situ Thermal Transmittance Measurements for Investigating Differences between Wall Models and Actual Building Performance," Sustainability, MDPI, vol. 7(8), pages 1-11, August.
    5. Kylili, Angeliki & Fokaides, Paris A. & Christou, Petros & Kalogirou, Soteris A., 2014. "Infrared thermography (IRT) applications for building diagnostics: A review," Applied Energy, Elsevier, vol. 134(C), pages 531-549.
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    Cited by:

    1. Doo Sung Choi & Myeong Jin Ko, 2019. "Analysis of Convergence Characteristics of Average Method Regulated by ISO 9869-1 for Evaluating In Situ Thermal Resistance and Thermal Transmittance of Opaque Exterior Walls," Energies, MDPI, vol. 12(10), pages 1-18, May.
    2. Seyoung Park & Seo Hoon Kim & Hakgeun Jeong & Sung Lok Do & Jonghun Kim, 2021. "In Situ Evaluation of the U-Value of a Window Using the Infrared Method," Energies, MDPI, vol. 14(7), pages 1-14, March.
    3. Marianna Rotilio & Federica Cucchiella & Pierluigi De Berardinis & Vincenzo Stornelli, 2018. "Thermal Transmittance Measurements of the Historical Masonries: Some Case Studies," Energies, MDPI, vol. 11(11), pages 1-18, November.
    4. 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.
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    6. Doo-Sung Choi & Ye-Ji Lee & Ji-Hoon Moon & Yong-Shik Kim & Myeong-Jin Ko, 2023. "Estimating In-Situ R-Value of Highly Insulated Building Walls Based on the Measurement of Temperature and Heat Flux Inside the Wall," Energies, MDPI, vol. 16(15), pages 1-16, July.
    7. 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).
    8. 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.
    9. 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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