Empirical Study on the Comprehensive Impact of Outdoor Climate on Building Indoor Environment and Human Perception

  • Xinying Fan
  • Bin ChenEmail author
Conference paper
Part of the Environmental Science and Engineering book series (ESE)


The building indoor environment is formed under the combined influence of outdoor climate. The existing research mainly simplifies the outdoor environmental parameters into a single parameter for building simulation and human thermal comfort analysis. However, it is difficult to reflect the comprehensive impact of comprehensive environmental information carried by different wind directions on people and buildings. Therefore, this paper aims to explore the characteristics of environmental information in different wind directions and its impact on human perception and indoor environment through empirical research. In this study, it was analyzed using the Universal Thermal Climate Index and two experimental rooms with different shading and ventilation filtering modes. The weighting factor of the comprehensive information of the outdoor environment on people and buildings is calculated by the entropy weight method. This study showed that the urban meteorological station and the building microclimate comprehensive environmental information are quite different, especially the wind speed and direction. It found that the human perception temperature of the architectural microclimate is significantly higher than the urban scale. The results show that the influence factors of the wind direction of the urban scale and the architectural microclimate on human perception are 8% and 4%, respectively, which is almost the same as the influence of temperature and relative humidity. This study indicated that the influence of wind direction on the comprehensive environmental information of people and buildings is not negligible.


Comprehensive information Universal thermal climate index Outdoor thermal comfort Perceived temperature 



This work was supported by the National Natural Science Foundation of China (No. 51578103); and the Key Projects in the National “Thirteenth Five-Year” Science and Technology Support Program of China (No. 2018YFD1100701).


  1. 1.
    Onsager, L.: Reciprocal relations in irreversible processes. I. Phys. Rev. 38(37), 405–426 (1931)CrossRefGoogle Scholar
  2. 2.
    Hens, H.L.S.C.: Combined heat, air, moisture modelling: a look back, how, of help? Build. Environ. 91(9), 138–151 (2015)CrossRefGoogle Scholar
  3. 3.
    Zhang, M., Qin, M., Rode, C., Chen, Z.: Moisture buffering phenomenon and its impact on building energy consumption. Appl. Thermal Eng. 124(9), 337–345 (2017)Google Scholar
  4. 4.
    Tariku, F., Kumaran, K., Fazio, P.: Integrated analysis of whole building heat, air and moisture transfer. Int. J. Heat Mass Transf. 53(15), 3111–3120 (2010)CrossRefGoogle Scholar
  5. 5.
    Fan, X., Chen, B.: Relationship between seasonal variation and occupant health based on nine-palaces and eight-winds theory. In: Healthy Buildings 2017 Europe, pp. 63–68. Lublin, Poland (2017)Google Scholar
  6. 6.
    Blazejczyk, K., Epstein, Y., Jendritzky, G., Staiger, H., Tinz, B.: Comparison of UTCI to selected thermal indices. Int. J Biometeorol. 56(3), 515–535 (2012)CrossRefGoogle Scholar
  7. 7.
    Fiala, D., Havenith, G., Bröde, P., Kampmann, B., Jendritzky, G.: UTCI-Fiala multi-node model of human heat transfer and temperature regulation. Int. J. Biometeorol. 56(3), 429–441 (2012)CrossRefGoogle Scholar
  8. 8.
    Zou, Z., Yun, Y., Sun, J.: Entropy method for determination of weight of evaluating indicators in fuzzy synthetic evaluation for water quality assessment. J. Env. Sci. 18(5), 1020–1023 (2006)CrossRefGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.School of Civil EngineeringDalian University of TechnologyDalianChina

Personalised recommendations