AbstractAbout AuthorsReferences
Insufficient research on microclimate complicates the prediction of thermal conditions in buildings during the non-heating season. Although field studies on summer indoor microclimate exist, comparative analyses of their results with calculated data remain limited. Most methods for estimating heat gains in buildings do not assess actual overheating, as they do not convert heat gains (W) into temperature values (°C). Currently, there is no standardized simplified method for evaluating summer overheating in buildings. The aim of this study is to investigate the thermal conditions of residential buildings in Kazan, compare the obtained data with calculations using the CIBSE Guide A Environmental Design methodology, and assess overheating risks. A comparison was made between field measurements from summer 2024 and calculated maximum indoor air temperatures. It was found that discrepancies between actual weather conditions and long-term climate data used in calculations affect the accuracy of temperature predictions. The results demonstrate that the considered calculation method allows to evaluate the effectiveness of solar protection measures in rooms with different orientations and architectural and constructive design. However, the accuracy of calculations heavily depends on input data, including natural ventilation rates, intensity of solar radiation, outdoor temperatures.
A.S. PETROV, Candidate of Sciences (Engineering) (This email address is being protected from spambots. You need JavaScript enabled to view it.),
N.S. GLAZYRINA, Postgraduate Student (This email address is being protected from spambots. You need JavaScript enabled to view it.)
N.S. GLAZYRINA, Postgraduate Student (This email address is being protected from spambots. You need JavaScript enabled to view it.)
Kazan State University of Architecture and Engineering (1, Zelenaya Street, Kazan, 420043, Russian Federation)
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2. Покка Е.В., Авксентьев В.И. Факторы, влияющие на концепцию формирования архитектуры современного жилого комплекса // Известия Казанского государственного архитектурно-строительного университета. 2021. № 1 (55). C. 109–117. EDN: HLOSOR. https://doi.org/10.52409/20731523_2021_1_109
2. Pokka E.V., Avksent’ev V.I. Factors influencing the concept of shaping the architecture of a modern residential complex. Izvestiya of the KSUAE. 2021. No. 1 (55), pp. 109–117. (In Russian). EDN: HLOSOR. https://doi.org/10.52409/20731523_2021_1_109
3. Куприянов В.Н. Приращение температуры воздуха в помещении при воздействии солнечной радиации через световой проем // Известия Казанского государственного архитектурно-строительного университета. 2022. № 4 (62). C. 6–17. EDN: UIXOZF. https://doi.org/10.52409/20731523_2022_4_6
3. Kupriyanov V.N. Increment of air temperature in the room under the influence of solar radiation through the light aperture. Izvestiya of the KSUAE. 2022. No. 4 (62), pp. 6–17. (In Russian). EDN: UIXOZF. https://doi.org/10.52409/20731523_2022_4_6
4. Lomas K.J., Giridharan R. Thermal comfort standards, measured internal temperatures and thermal resilience to climate change of free-running buildings: A case-study of hospital wards. Building and Environment. 2012. Vol. 55, pp. 57–72. https://doi.org/10.1016/j.buildenv.2011.12.006
5. Zhao S., Yang L., Gao S., Zhai Y. Field study on human thermal comfort and indoor air quality in university dormitory buildings. E3S Web Conf. 2022. 356 03015. EDN: EGQKQE. https://doi.org/10.1051/e3sconf/202235603015
6. Aparicio-Ruiz P., Barbadilla-Martín E., Guadix J., Muñuzuri J. A field study on adaptive thermal comfort in Spanish primary classrooms during summer season. Building and Environment. 2021. Vol. 203. 108089. EDN: XYFVAG.
https://doi.org/10.1016/j.buildenv.2021.108089
7. Giuli V., Zecchin R., Corain L., Salmaso L. Measured and perceived environmental comfort: Field monitoring in an Italian school. Applied Ergonomics. 2014. Vol. 45, Iss. 4, pp. 1035–1047. https://doi.org/10.1016/j.apergo.2014.01.004
8. Yang B., Olofsson T., Wang F., Lu W. Thermal comfort in primary school classrooms: A case study under subarctic climate area of Sweden. Building and Environment. 2018. Vol. 135, pp. 237–245.
https://doi.org/10.1016/j.buildenv.2018.03.019
9. Jindal A. Thermal comfort study in naturally ventilated school classrooms in composite climate of India, Building and Environment. 2018. No. 142, pp. 34–46. https://doi.org/10.1016/j.buildenv.2018.05.051
10. Мора Р., Метайер М. Тепловой комфорт в учреждениях здравоохранения // Энергосбережение. 2022. № 8. С. 48–55. EDN: ZTOJZU
10. Mora R., Metaier M. Thermal comfort in healthcare facilities. Energosberezhenie. 2022. No. 8, pp. 48–55. (In Russian). EDN: ZTOJZU
11. Kim J., Xiong J., Dear R., Parkinson T., Jeong B., Wu Zh., Sadeghi M., Chen D. Testing the applicability of CIBSE overheating criteria to Australian subtropical residential contexts. Building and Environment. 2023. Vol. 246. 110987. EDN: QMQBFH. https://doi.org/10.1016/j.buildenv.2023.110987
12. Mohammadiziazi R., Copeland S., Bilec M.M. Urban building energy model: Database development, validation, and application for commercial building stock. Energy and Buildings. 2021. Vol. 248. 111175. EDN: YKECEW. https://doi.org/10.1016/j.enbuild.2021.111175
13. Lien S.K., Sandberg N.H., Lindberg K.B., Rosenberg E., Seljom P., Sartori I. Comparing model projections with reality: Experiences from modelling building stock energy use in Norway. Energy and Buildings. 2022. Vol. 268. 112186. EDN: KZNVWW. https://doi.org/10.1016/j.enbuild.2022.112186
14. Степанов И.О., Крайнов Д.В. Применение цифрового двойника для мониторинга микроклимата в помещении // Известия Казанского государственного архитектурно-строительного университета. 2024. № 2 (68). С. 26–36. EDN: CQRTXM. https://doi.org/10.48612/NewsKSUAE/68.3
14. Stepanov I. O., Kraynov D.V. Application of a digital twin for indoor microclimate monitoring. Izvestiya of the KSUAE. 2024. No. 2 (68), pp. 26–36. (In Russian). EDN: CQRTXM.
https://doi.org/10.48612/NewsKSUAE/68.3
15. Dear R., Xiong J., Kim J., Cao B. A review of adaptive thermal comfort research since 1998. Energy and Buildings. 2020. Vol. 214. 109893. EDN: YURHNT. https://doi.org/10.1016/j.enbuild.2020.109893
16. Parkinson T., Dear R., Brager G. Nudging the adaptive thermal comfort model. Energy and Buildings. 2020. Vol. 206. 109559. EDN: LTAMYP. https://doi.org/10.1016/j.enbuild.2019.109559
For citation: Petrov A.S., Glazyrina N.S. Experimental and numerical investigations of indoor overheating due to solar radiation. Zhilishchnoe Stroitel'stvo [Housing Construction]. 2025. No. 11, pp. 39–45. (In Russian). https://doi.org/10.31659/0044-4472-2025-11-39-45