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

Oleksandra Hotra (), Svitlana Kovtun, Oleg Dekusha, Żaklin Grądz, Vitalii Babak and Joanna Styczeń
Additional contact information
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

Energies, 2022, vol. 16, issue 1, 1-16

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.

Keywords: low-density heat flux; heat flux sensors; thermal resistance measurement; HFM method; data processing; wavelet analysis (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/16/1/430/pdf (application/pdf)
https://www.mdpi.com/1996-1073/16/1/430/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:16:y:2022:i:1:p:430-:d:1020225

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().