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Numerical Simulation of New Ventilation Mode in Multiple-Bed Hospital Wards

  • Hongmei Zhang
  • Guizhi Liu
  • Zhouyun Xu
  • Di LiuEmail author
Conference paper
  • 263 Downloads
Part of the Environmental Science and Engineering book series (ESE)

Abstract

Although good ventilation is an important method for diluting and removing indoor aerosol pollutants in the hospital wards, it caused huge energy consumption at the same time. Therefore, it is important to understand air and pollutants transport between the multiple-bed and to improve the ventilation system design for the hospital wards. This paper developed a new type of air supply diffuser design by adding a quarter sphere air diffuser at one end of the semicircular air supply diffuser and a vertical return air outlet besides the opposite side of the wall at the bottom of the return air type for reducing the cross-infection rate, the air supply volume and the energy consumption at much lower cost simultaneously. Computational fluid dynamic (CFD) was employed to establish a three-dimensional ward model which arranged the beds around the ward and simulate the ventilation process of diluting and removing pollutants from the ward space by using the standard κ-ε model and component transport model. Numerical simulation shows that vector flow with vertical return air outlet can effectively reduce the discharge time of the airborne pollutants; the vector flow air supply with the hemispherical air supply diffuser can achieve the same effect on removing pollutants as the vector flow air supply is on the basis of less air supply volume. The results of the present work will provide more choice for ventilation modes in the hospital wards, which is of great significance for energy conservation and emission reduction.

Keywords

Ventilation mode Energy conservation CFD Pollutants concentration field 

Notes

Acknowledgements

Authors would gratefully acknowledge the financial support of Natural Science Foundation of China (NSFC, Grant No. 51208192; Grant No. 51778504; NSFC Grant No. 51304233), Shandong Provincial Natural Science Foundation (Grant No. ZR2018MEE035), National Defense Research Funds of Wuhan University (Grant No. 2042018gf0031), Fundamental Research Projects from Shenzhen Council (Grant No. JCYJ20160523160857948), and National Key Research and Development Program of the Ministry of Science and Technology of China (Grant No. 2018YFC0705201, Grant No. 2018YFB0904200).

References

  1. 1.
    Ho, S.H., Rosario, L., Rahman, M.M.: Three-dimensional analysis for hospital operating room thermal comfort and contaminant removal. Appl. Therm. Eng. 10(29), 2080–2092 (2009)CrossRefGoogle Scholar
  2. 2.
    Steingold, L., Dunn, L., Hawksworth, E., Limb, L.: The influence of ward ventilation on hospital cross infection. J. Appl. Microbiol. 26(3), 435–443 (1963)Google Scholar
  3. 3.
    Nielsen, P., Li, Y., Buus, M., Winther, F.: Risk of cross-infection in a hospital ward with downward ventilation. Build. Environ. 9(45), 2008–2014 (2010)CrossRefGoogle Scholar
  4. 4.
    Qian, H., Li, Y., Nielsen, P., Hyldgaard, C.: Dispersion of exhalation pollutants in a two-bed hospital ward with a downward ventilation system. Build. Environ. 3(43), 344–354 (2008)CrossRefGoogle Scholar
  5. 5.
    Qu, A., Yang, K., Fu, X., Lu, Z.: Numerical simulation of pollutants dilution in a ventilation system. In: Proceedings of ISHVAC, vol. 205, pp. 345–351. Jinan, China (2017)CrossRefGoogle Scholar
  6. 6.
    Khoo, C.Y., Lee, C., Hu, S.: An experimental study on the influences of air change rate and free area ratio of raised-floor on cleanroom particle concentrations. Build. Environ. 48, 84–88 (2012)CrossRefGoogle Scholar
  7. 7.
    Villafruela, J.M., Olmedo, I., Adana, M.R., Mendez, C., Nielsen, P.V.: CFD analysis of the human exhalation flow using different boundary conditions and ventilation strategies. Build. Environ. 62, 191–200 (2013)CrossRefGoogle Scholar
  8. 8.
    Zhou, B., Ding, L., Li, F., Xue, K., Nielsen, P.V., Xu, Y.: Influence of opening and closing process of sliding door on interface airflow characteristic in operating room. Build. Environ. 144, 459–473 (2018)CrossRefGoogle Scholar
  9. 9.
    Chow, T.T., Wang, J.: Dynamic simulation on impact of surgeon bending movement on bacteria-carrying particles distribution in operating theatre. Build. Environ. 57, 68–80 (2012)CrossRefGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.College of Pipeline and Civil EngineeringChina University of Petroleum (East China)QingdaoChina

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