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Analysis of Low-Density Heat Flux Data by the Wavelet Method

Author

Listed:
  • Oleksandra Hotra

    (Department of Electronics and Information Technology, Lublin University of Technology, Nadbystrzycka 38D, 20-618 Lublin, Poland)

  • Svitlana Kovtun

    (Department of Monitoring and Diagnostic of Energy Objects, General Energy Institute of NAS of Ukraine, Antonovicha 172, 03057 Kyiv, Ukraine)

  • Oleg Dekusha

    (Department of Monitoring and Diagnostic of Energy Objects, General Energy Institute of NAS of Ukraine, Antonovicha 172, 03057 Kyiv, Ukraine)

  • Żaklin Grądz

    (Department of Electronics and Information Technology, Lublin University of Technology, Nadbystrzycka 38D, 20-618 Lublin, Poland)

  • Vitalii Babak

    (Department of Monitoring and Diagnostic of Energy Objects, General Energy Institute of NAS of Ukraine, Antonovicha 172, 03057 Kyiv, Ukraine)

  • Joanna Styczeń

    (Department of Construction, Lublin University of Technology, Nadbystrzycka 38D, 20-618 Lublin, Poland)

Abstract

When evaluating the energy efficiency of buildings and implementing the necessary measures to increase energy efficiency levels, thermal technical characteristics are determined. For this purpose, in situ measurements of the thermal resistance of external enclosing structures were carried out. One of the methods most often used by researchers is the non-destructive method—the heat flow meter (HFM) method regulated by ISO 9869. In the case of surveying a building with a high level of thermal resistance, researchers are faced with low-density heat flux measurements, which is always a difficult task due to significant fluctuations and the influence of external factors on the measurement results. This is due to the fact that it is difficult to determine what is a useful signal and what is a consequence of the effects of non-stationarity and heat transfer conditions. The article provides an example of low-density heat flux measurements when determining the thermal resistance of a building and proposes a data pre-processing procedure that allows for the reduction of heat flux fluctuations, which has a significant impact on the final result at low density. The proposed use of wavelet analysis in the pre-processing of low-density heat flux measurement data makes it possible to reconstruct them or reduce disturbances that occur during research. A comparison of the obtained results with the results of the calculation according to ISO 9869-1 showed a decrease in the standard deviation of the measurements from 5.74 to 2.81%. The results of this study can be used to reduce the noise of low-density heat flux and, as a result, reduce the standard deviation of the measurement when applying the HFM method of determining the thermal resistance of external enclosing structures.

Suggested Citation

  • Oleksandra Hotra & Svitlana Kovtun & Oleg Dekusha & Żaklin Grądz & Vitalii Babak & Joanna Styczeń, 2022. "Analysis of Low-Density Heat Flux Data by the Wavelet Method," Energies, MDPI, vol. 16(1), pages 1-16, December.
    • Handle: RePEc:gam:jeners:v:16:y:2022:i:1:p:430-:d:1020225
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    References listed on IDEAS

    as
    1. 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.
    2. Oleksandra Hotra & Svitlana Kovtun & Oleg Dekusha & Żaklin Grądz, 2021. "Prospects for the Application of Wavelet Analysis to the Results of Thermal Conductivity Express Control of Thermal Insulation Materials," Energies, MDPI, vol. 14(17), pages 1-15, August.
    3. Jahangiri, Ali & Mohammadi, Samira & Akbari, Mohammad, 2019. "Modeling the one-dimensional inverse heat transfer problem using a Haar wavelet collocation approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 13-26.
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