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Determination of the Three Key Parameters Estimating Indoor Air Filtration Load Regarding PM2.5 Penetration Through Infiltration

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Proceedings of the 11th International Symposium on Heating, Ventilation and Air Conditioning (ISHVAC 2019) (ISHVAC 2019)

Part of the book series: Environmental Science and Engineering ((ENVENG))

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Abstract

Air filters are one effective way of removing indoor fine particulate matter (generally known as PM2.5). An accurate evaluation of indoor PM2.5 filtration load will provide great help in designing efficient air filtration systems. In order to make the existing indoor PM2.5 filtration load calculation model more available by considering the availability of some important parameters, such as air infiltration volume through a unit length of external window (ql), particle penetration factor (P), and deposition rate (k), this study introduces a determination method of those key design parameters for various external window airtightness levels under infiltration conditions. Furthermore, the indoor PM2.5 filtration loads were quantified based on a longitudinal field measurement from five unoccupied offices located in the central area of Beijing, China. Results revealed that higher airtightness level windows can help to significantly decrease the indoor PM2.5 filtration load. The proposed method in this study can help in the calculation of indoor PM2.5 filtration load through infiltration and the design of indoor air filtration systems.

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References

  1. Kuo, H.W., Shen, H.Y.: Indoor and outdoor PM2.5 and PM10 concentrations in the air during a dust storm. Build. Environ. 45(3), 610–614 (2010)

    Article  Google Scholar 

  2. Martins, N.R., da Graca, G.C.: Simulation of the effect of fine particle pollution on the potential for natural ventilation of non-domestic buildings in European cities. Build. Environ. 115, 236–250 (2017)

    Article  Google Scholar 

  3. GB/T 7106-2008: Graduations and Test Methods of Air Permeability, Watertightness, Wind Load Resistance Performance for Building External Windows and Doors. Standardization Administration of the People’s Republic of China (2008)

    Google Scholar 

  4. Zhao, L., Chen, C., Wang, P., Chen, Z.G., Cao, S.J., Wang, Q.Q., Xie, G.Y., Wan, Y.L., Wang, Y.F., Lu, B.: Influence of atmospheric fine particulate matter (PM2.5) pollution on indoor environment during winter in Beijing. Build. Environ. 87, 283–291 (2015)

    Article  Google Scholar 

  5. Nazaroff, W.W.: Indoor particle dynamics. Indoor Air 14, 175–183 (2004)

    Article  Google Scholar 

  6. Liu, D.L., Nazaroff, W.W.: Modeling pollutant penetration across building envelopes. Atmos. Environ. 35(26), 4451–4462 (2001)

    Article  Google Scholar 

  7. Riley, W.J., McKone, T.E., Lai, A.C.K., Nazaroff, W.W.: Indoor particulate matter of outdoor origin: importance of size-dependent removal mechanisms. Environ. Sci. Technol. 36(2), 200–207 (2002)

    Article  Google Scholar 

  8. Ji, W.J., Zhao, B.: Contribution of outdoor-originating particles, indoor-emitted particles and indoor secondary organic aerosol (SOA) to residential indoor PM2.5 concentration: a model-based estimation. Build. Environ. 90, 196–205 (2015)

    Article  Google Scholar 

  9. Chen, Z.G., Chen, C., Wei, S., Wu, Y.Q., Wang, Y.F., Wan, Y.L.: Impact of the external window crack structure on indoor PM2.5 mass concentration. Build. Environ. 108, 240–251 (2016)

    Article  Google Scholar 

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Acknowledgements

This work was sponsored by the 13th Five-Year Key Project, Ministry of Science and Technology of China (No. 2017YFC0702800).

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Authors and Affiliations

  1. Institute of Building Environment and Energy Efficiency, China Academy of Building Research, Beijing, China

    Ziguang Chen, Guoqing Cao, Guanpeng Cao, Yirong Yuan & Xuan Li

  2. College of Architecture and Civil Engineering, Beijing University of Technology, Beijing, China

    Chao Chen & Zixi Li

  3. CAUPD Beijing Planning & Design Consultants Co, Beijing, China

    Yan Wu

  4. Beijing General Municipal Engineering Design & Research Institute Co., Ltd., Beijing, China

    Qinqiang Hu

Authors
  1. Ziguang Chen
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  2. Chao Chen
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  3. Guoqing Cao
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  4. Zixi Li
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  5. Yan Wu
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  6. Guanpeng Cao
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  7. Yirong Yuan
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  8. Xuan Li
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  9. Qinqiang Hu
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Corresponding author

Correspondence to Chao Chen .

Editor information

Editors and Affiliations

  1. Department of Building Thermal Engineering, School of Architecture, Harbin Institute of Technology, Harbin, Heilongjiang, China

    Zhaojun Wang

  2. Department of Building Science, School of Architecture, Tsinghua University, Beijing, China

    Yingxin Zhu

  3. Department of Building Thermal Engineering, School of Architecture, Harbin Institute of Technology, Harbin, Heilongjiang, China

    Fang Wang

  4. Department of Building Thermal Engineering, School of Architecture, Harbin Institute of Technology, Harbin, Heilongjiang, China

    Peng Wang

  5. Department of Building Thermal Engineering, School of Architecture, Harbin Institute of Technology, Harbin, Heilongjiang, China

    Chao Shen

  6. Department of Building Thermal Engineering, School of Architecture, Harbin Institute of Technology, Harbin, Heilongjiang, China

    Jing Liu

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Chen, Z. et al. (2020). Determination of the Three Key Parameters Estimating Indoor Air Filtration Load Regarding PM2.5 Penetration Through Infiltration. In: Wang, Z., Zhu, Y., Wang, F., Wang, P., Shen, C., Liu, J. (eds) Proceedings of the 11th International Symposium on Heating, Ventilation and Air Conditioning (ISHVAC 2019). ISHVAC 2019. Environmental Science and Engineering(). Springer, Singapore. https://doi.org/10.1007/978-981-13-9520-8_17

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