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Effects of individual climatic parameters on the infrared thermography of buildings

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  • Lehmann, B.
  • Ghazi Wakili, K.
  • Frank, Th.
  • Vera Collado, B.
  • Tanner, Ch.

Abstract

Infrared thermography is an affordable, fast and hence widespread method to detect temperature distributions on the external surfaces of buildings. The interpretation of obtained thermal images requires the knowledge of the status of a multitude of climatic parameters preceding the thermography investigation. The length of the adequate time interval back in the climatic history depends on the thermal properties of the investigated building façade. Based on thermography of an old building with insulated and non-insulated façades, equipped with temperature sensors and a nearby meteo station, a numerical study has been carried out to quantify the individual influence of parameters such as air and sky temperature, wind, solar irradiation, thermal transmittance (U-value) and emissivity on the evaluation of thermal images. Subsequently, an in-depth numerical study is carried out to determine the minimum climatic history needed to correctly interpret the thermal images of various constructions having different thermal performance characteristics.

Suggested Citation

  • Lehmann, B. & Ghazi Wakili, K. & Frank, Th. & Vera Collado, B. & Tanner, Ch., 2013. "Effects of individual climatic parameters on the infrared thermography of buildings," Applied Energy, Elsevier, vol. 110(C), pages 29-43.
    • Handle: RePEc:eee:appene:v:110:y:2013:i:c:p:29-43
    DOI: 10.1016/j.apenergy.2013.03.066
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    References listed on IDEAS

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    1. Asdrubali, Francesco & Baldinelli, Giorgio & Bianchi, Francesco, 2012. "A quantitative methodology to evaluate thermal bridges in buildings," Applied Energy, Elsevier, vol. 97(C), pages 365-373.
    2. 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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    Cited by:

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    2. Pappalardo, S. & Consoli, S. & Longo-Minnolo, G. & Vanella, D. & Longo, D. & Guarrera, S. & D’Emilio, A. & Ramírez-Cuesta, J.M., 2023. "Performance evaluation of a low-cost thermal camera for citrus water status estimation," Agricultural Water Management, Elsevier, vol. 288(C).
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    4. Lucchi, Elena, 2018. "Applications of the infrared thermography in the energy audit of buildings: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 3077-3090.
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    6. Baldinelli, Giorgio & Bianchi, Francesco & Rotili, Antonella & Costarelli, Danilo & Seracini, Marco & Vinti, Gianluca & Asdrubali, Francesco & Evangelisti, Luca, 2018. "A model for the improvement of thermal bridges quantitative assessment by infrared thermography," Applied Energy, Elsevier, vol. 211(C), pages 854-864.
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    8. 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).
    9. You Jin Kwon & Dong Kun Lee, 2019. "Thermal Comfort and Longwave Radiation over Time in Urban Residential Complexes," Sustainability, MDPI, vol. 11(8), pages 1-19, April.
    10. 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.
    11. 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.
    12. Blanca Tejedor & Eva Barreira & Vasco Peixoto de Freitas & Tomasz Kisilewicz & Katarzyna Nowak-Dzieszko & Umberto Berardi, 2020. "Impact of Stationary and Dynamic Conditions on the U-Value Measurements of Heavy-Multi Leaf Walls by Quantitative IRT," Energies, MDPI, vol. 13(24), pages 1-19, December.
    13. Virginia Gori & Phillip Biddulph & Clifford A. Elwell, 2018. "A Bayesian Dynamic Method to Estimate the Thermophysical Properties of Building Elements in All Seasons, Orientations and with Reduced Error," Energies, MDPI, vol. 11(4), pages 1-27, March.
    14. Flores Larsen, Silvana & Hongn, Marcos, 2014. "Determining the infrared reflectance of specular surfaces by using thermographic analysis," Renewable Energy, Elsevier, vol. 64(C), pages 306-313.

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