Русский
English
The work involved a full-scale thermal imaging survey of a residential building during a hot period of time, where the effect of solar heating of the building's façade and the inner surface of the outer enclosure was studied, taking into account the orientation of the building and the time of the survey. As a result, it was found that the effect of solar heating on the building’s façade significantly increases the temperature on the façade surface, where, depending on the façade orientation and time, the building’s façade surface is exposed to heating from the east, west and south sides. Thus, the maximum values of the façade surface temperature reach 63.1°C, 57.0°C and 53.4°C, respectively, which is almost twice as high as the initial temperature values. Solar heating also has a significant effect on the temperature of the inner surface of the external enclosure, also depending on the façade orientation. Thus, on the east side in the morning, the surface temperature of the external enclosure increases by 3.8°C, which continues until 16:00. The influence of the sun provokes heating of the inner surface of the external enclosure of the living room on the western side by 4.2°C, and on the southern side the maximum temperature on the surface of the inner enclosure was observed in the period from 12:00 to 16:00, which exceeded the initial one by up to 3.8°C. At that, the influence of heating from the sun on the northern side was not observed. With that, it was found that the influence of solar heating of the building façade provokes deviations in the microclimate of the room, where the deviation in the permissible internal air temperature of the living room is 14.1% during the day, and in the optimal humidity by 13.3% in the afternoon. The findings of this study can be taken into account when designing or developing new energy-efficient external enclosing wall structures, where the criterion of heat resistance must also be taken into account in parallel with the criterion of heat protection in the climatic features of the Republic of Kazakhstan.
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[15] Shrestha R., Kim W. Evaluation of Coating Thickness by Thermal Wave Imaging: A Comparative Study of Pulsed and Lock-in Infrared Thermography-Part II: Experimental Investigation. Infrared Phys. Technol. 2018. 92. P. 24 – 29. DOI: https://doi.org/10.1016/j.infrared.2018.05.001
[16] Shrestha R., Sfarra S., Ridolfi S., Gargiulo G., Kim W. A Numerical-Thermal-Thermographic NDT Evaluation of an Ancient Marquetry Integrated with X-Ray and XRF Surveys. J. Therm. Anal. Calorim. 2022. 147. P. 2265 – 2279. DOI: https://doi.org/10.1007/s10973-021-10571-2
[17] López G., Basterra L.A., Acuña L., Casado M. Determination of the Emissivity of Wood for Inspection by Infrared Thermography. J. Nondestr Eval. 2013. 32. P. 172 – 176. DOI: https://doi.org/10.1007/s10921-013-0170-3
[18] Aoul K.A.T., Hagi R., Abdelghani R., Syam M., Akhozheya B. Building Envelope Thermal Defects in Existing and Under-Construction Housing in the Uae; Infrared Thermography Diagnosis and Qualitative Impacts Analysis. Sustainability. 2021. 13. P. 2230. DOI: https://doi.org/10.3390/su13042230
[19] O’Grady M., Lechowska A.A., Harte A.M. Infrared Thermography Technique as an In-Situ Method of Assessing Heat Loss through Thermal Bridging. Energy Build. 2017. P. 135. DOI: https://doi.org/10.1016/j.enbuild.2016.11.039
[20] Tan Y., Yi W., Chen P., Zou Y. An adaptive crack inspection method for building surface based on BIM, UAV and edge computing. Automation in Construction. 2024. 157. P. 105161. DOI: https://doi.org/10.1016/j.autcon.2023.105161
[21] Falorca J.F., Miraldes J.P.N.D., Lanzinha J.C.G. New Trends in Visual Inspection of Buildings and Structures: Study for the Use of Drones. Open Eng. 2021. 11. P. 734 – 743. DOI: https://doi.org/10.1515/eng-2021-0071
[22] Tan T., Li S., Liu H., Chen P., Zhou Z. Automatic inspection data collection of building surface based on BIM and UAV. Automation in Construction. 2021. 131. P. 103881. DOI: https://doi.org/10.1016/j.autcon.2021.103881
[23] Zhangabay N., Bakhbergen S., Aldiyarov Zh., Tursunkululy T., Kolesnikov A. Analysis of thermal efficiency of external fencing made of innovative ceramic blocks. Construction Materials and Products. 2024. 7 (3). 1. DOI: 10.58224/2618-7183-2024-7-3-1
[24] Tagybayev, A., Baidilla, I., Sapargaliyeva B., Shakeshev B., Baibolov B., Utelbayeva A. Multilayer External Enclosing Wall Structures with Air Gaps or Channels. J. Compos. Sci. 2023. 7 (5). P. 195. https://doi.org/10.3390/jcs7050195
[25] Zhangabay N., Giyasov A., Ybray S., Tursunkululy T. Study of heat protection of external envelopes of a residential building in the cold period. E3S Web Conf. 2024. 542. P/ 06003. https://doi.org/10.1051/e3sconf/202454206003
[26] Zhangabay N., Giyasov A., Bakhbergen S., Tursunkululy T., Kolesnikov A. Thermovision study of a residential building under climatic conditions of South Kazakhstan in a cold period. Construction Materials and Products. 2024. 7 (2). 1. DOI: https://doi.org/10.58224/2618-7183-2024-7-2-1
[2] Zhangabay N., Bonopera M., Baidilla I., Utelbayeva A., Tursunkululy T. Research of Heat Tolerance and Moisture Conditions of New Worked-Out Face Structures with Complete Gap Spacings. Buildings 2023. 13 (11). P. 2853;.DOI: https://doi.org/10.3390/buildings13112853
[3] Lopez A., Juan M., Garrido A., Lopez R., Ana I., Francisco R. 3D tools for building and infrastructures inspection from thermal UAS data: first steps. Procedia Structural Integrity. 2022. 42. P. 1121-1127. DOI: https://doi.org/10.1016/j.prostr.2022.12.143
[4] Maurício M., Enrico B., Letícia A., Yuri de S., Almeida E., Renan P. Infrared thermal imaging to inspect pathologies on façades of historical buildings: A case study on the Municipal Market of São Paulo, Brazil. Case Studies in Construction Materials. 2022. 16. P. e01122. DOI: https://doi.org/10.1016/j.cscm.2022.e01122
[5] Letzai Ruiz Valero, Virginia Flores Sasso, Esteban Prieto Vicioso. In situ assessment of superficial moisture condition in façades of historic building using non-destructive techniques. Case Studies in Construction Materials. 2019. 10. P. e00228. DOI: https://doi.org/10.1016/j.cscm.2019.e00228
[6] Gade R., Moeslund, T.B. Thermal cameras and applications: A survey. Machine Vision and Applications. 2014. 25. P. 245-262. DOI: https://doi.org/10.1007/s00138-013-0570-5
[7] Lin D., Jarzabek-Rychard M., Tong X., Maas H. Fusion of thermal imagery with point clouds for building façade thermal attribute mapping. ISPRS Journal of Photogrammetry and Remote Sensing. 2019. 151. P. 162-175. DOI: https://doi.org/10.1016/j.isprsjprs.2019.03.010
[8] Zhangabay N., Tagybayev, A. Utelbayeva, A., Buganova S., Tolganbayev A., Tulesheva G., Jumabayev A., et al. Analysis of the influence of thermal insulation material on the thermal resistance of new facade structures with horizontal air channels. Case Studies in Construction Materials. 2023, 18, e02026. DOI: https://doi.org/10.1016/j.cscm.2023.e02026
[9] Kim H., Lamichhane N., Kim C., Shrestha R. Innovations in Building Diagnostics and Condition Monitoring: A Comprehensive Review of Infrared Thermography Applications. Buildings. 2023. 13 (11). P. 2829. DOI: https://doi.org/10.3390/buildings13112829
[10] Lucchi E. Applications of the Infrared Thermography in the Energy Audit of Buildings: A Review. Renew. Sustain. Energy Rev. 2018. 82. P. 3077 – 3090. DOI: https://doi.org/10.1016/j.rser.2017.10.031
[11] Bauer E., Pavón E., Oliveira E., Pereira C. Facades inspection with infrared thermography: cracks evaluation. Journal of Building Pathology and Rehabilitation. 2016. 1. P. 2. DOI: https://doi.org/10.1007/s41024-016-0002-9
[12] Waqas A., Mohamad Araji M. Machine learning-aided thermography for autonomous heat loss detection in buildings. Energy Conversion and Management. 2024. 304. P. 118243. DOI: https://doi.org/10.1016/j.enconman.2024.118243
[13] Kim H., Shrestha A., Sapkota E., Sapkota E., et al. A Study on the Effectiveness of Spatial Filters on Thermal Image Pre-Processing and Correlation Technique for Quantifying Defect Size. Sensors. 2022. 22. P. 8965. DOI: https://doi.org/10.3390/s22228965
[14] Shrestha R., Choi M., Kim W. Thermographic Inspection of Water Ingress in Composite Honeycomb Sandwich Structure: A Quantitative Comparison among Lock-in Thermography Algorithms. Quant. Infrared Thermogr. J. 2021. 18. P. 92 – 107. DOI: https://doi.org/10.1080/17686733.2019.1697848
[15] Shrestha R., Kim W. Evaluation of Coating Thickness by Thermal Wave Imaging: A Comparative Study of Pulsed and Lock-in Infrared Thermography-Part II: Experimental Investigation. Infrared Phys. Technol. 2018. 92. P. 24 – 29. DOI: https://doi.org/10.1016/j.infrared.2018.05.001
[16] Shrestha R., Sfarra S., Ridolfi S., Gargiulo G., Kim W. A Numerical-Thermal-Thermographic NDT Evaluation of an Ancient Marquetry Integrated with X-Ray and XRF Surveys. J. Therm. Anal. Calorim. 2022. 147. P. 2265 – 2279. DOI: https://doi.org/10.1007/s10973-021-10571-2
[17] López G., Basterra L.A., Acuña L., Casado M. Determination of the Emissivity of Wood for Inspection by Infrared Thermography. J. Nondestr Eval. 2013. 32. P. 172 – 176. DOI: https://doi.org/10.1007/s10921-013-0170-3
[18] Aoul K.A.T., Hagi R., Abdelghani R., Syam M., Akhozheya B. Building Envelope Thermal Defects in Existing and Under-Construction Housing in the Uae; Infrared Thermography Diagnosis and Qualitative Impacts Analysis. Sustainability. 2021. 13. P. 2230. DOI: https://doi.org/10.3390/su13042230
[19] O’Grady M., Lechowska A.A., Harte A.M. Infrared Thermography Technique as an In-Situ Method of Assessing Heat Loss through Thermal Bridging. Energy Build. 2017. P. 135. DOI: https://doi.org/10.1016/j.enbuild.2016.11.039
[20] Tan Y., Yi W., Chen P., Zou Y. An adaptive crack inspection method for building surface based on BIM, UAV and edge computing. Automation in Construction. 2024. 157. P. 105161. DOI: https://doi.org/10.1016/j.autcon.2023.105161
[21] Falorca J.F., Miraldes J.P.N.D., Lanzinha J.C.G. New Trends in Visual Inspection of Buildings and Structures: Study for the Use of Drones. Open Eng. 2021. 11. P. 734 – 743. DOI: https://doi.org/10.1515/eng-2021-0071
[22] Tan T., Li S., Liu H., Chen P., Zhou Z. Automatic inspection data collection of building surface based on BIM and UAV. Automation in Construction. 2021. 131. P. 103881. DOI: https://doi.org/10.1016/j.autcon.2021.103881
[23] Zhangabay N., Bakhbergen S., Aldiyarov Zh., Tursunkululy T., Kolesnikov A. Analysis of thermal efficiency of external fencing made of innovative ceramic blocks. Construction Materials and Products. 2024. 7 (3). 1. DOI: 10.58224/2618-7183-2024-7-3-1
[24] Tagybayev, A., Baidilla, I., Sapargaliyeva B., Shakeshev B., Baibolov B., Utelbayeva A. Multilayer External Enclosing Wall Structures with Air Gaps or Channels. J. Compos. Sci. 2023. 7 (5). P. 195. https://doi.org/10.3390/jcs7050195
[25] Zhangabay N., Giyasov A., Ybray S., Tursunkululy T. Study of heat protection of external envelopes of a residential building in the cold period. E3S Web Conf. 2024. 542. P/ 06003. https://doi.org/10.1051/e3sconf/202454206003
[26] Zhangabay N., Giyasov A., Bakhbergen S., Tursunkululy T., Kolesnikov A. Thermovision study of a residential building under climatic conditions of South Kazakhstan in a cold period. Construction Materials and Products. 2024. 7 (2). 1. DOI: https://doi.org/10.58224/2618-7183-2024-7-2-1
Zhangabay N., Tursunkululy T., Ibraimova U., Bakhbergen S., Kolesnikov A. Field thermal imaging surveys of residential buildings – a prereq-uisite for the development of energy-efficient external enclosures. Construction Materials and Products. 2024. 7 (6). 1. https://doi.org/10.58224/2618-7183-2024-7-6-1