IDEAS home Printed from https://ideas.repec.org/a/oup/ijlctc/v17y2022ip33-37..html
   My bibliography  Save this article

Indoor air quality test and air distribution CFD simulation in hospital consulting room
[Clinical characteristics of 2019 novel coronavirus infection in China]

Author

Listed:
  • Jiali Yao
  • Jiachen Zhong
  • Ning Yang

Abstract

Reasonable air distribution is crucial to improve the air quality in hospital consulting room. Different air distribution schemes have certain effects on indoor temperature field, air flow field and particle concentration field. Based on a large general hospital project, this paper makes a subjective questionnaire survey and field test on indoor air quality of hospital buildings. Field test parameters include temperature, indoor air velocity, humidity, carbon dioxide and total volatile organic compound concentration. The results of the questionnaire survey show that a small number of people are not satisfied with the air quality in the hospital consulting room, and the concentration of carbon dioxide in some areas is high, which affects human health. The geometric model is established according to the test data, and the numerical simulation is carried out by CFD software to study the effects of three different air distribution. The research results show that the air distribution form of up-supply and side-return is more suitable for hospital consulting room and the air quality is better.

Suggested Citation

  • Jiali Yao & Jiachen Zhong & Ning Yang, 2022. "Indoor air quality test and air distribution CFD simulation in hospital consulting room [Clinical characteristics of 2019 novel coronavirus infection in China]," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 17, pages 33-37.
  • Handle: RePEc:oup:ijlctc:v:17:y:2022:i::p:33-37.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/ijlct/ctab084
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:oup:ijlctc:v:17:y:2022:i::p:33-37.. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Oxford University Press (email available below). General contact details of provider: https://academic.oup.com/ijlct .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.