IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i8p2299-d539067.html
   My bibliography  Save this article

HVAC Operation Schemes and Commissioning Process Resolving Stack Effect Problem and Adjusting According to Changes in the Environment: A Case Study in High-Rise Building in South Korea

Author

Listed:
  • Jungyeon Yu

    (Indoor Air Quality Research Center, Korea Institute of Civil Engineering and Building Technology, Goyang-Si 10223, Korea)

  • Angie Kim

    (Department of Biology, Amherst College, 220 South Pleasant Street, Amherst, MA 01002, USA)

  • Sanghwan Bae

    (Indoor Air Quality Research Center, Korea Institute of Civil Engineering and Building Technology, Goyang-Si 10223, Korea)

  • Dongwoo Cho

    (Department of Living and Built Environment Research, Korea Institute of Civil Engineering and Building Technology, Goyang-Si 10223, Korea)

  • Kee Han Kim

    (Department of Architectural Engineering, University of Ulsan, Ulsan 44610, Korea)

Abstract

Various problems often arise in high-rise buildings during the winter months due to the stack effect. In this study, the high-rise building of interest, located in South Korea, was experiencing constant loud noises in the winter due to the stack effect. Thus, we created a noise level reduction plan by creating a method for pressurizing the high-rise zones of the building according to outdoor conditions. To discover the appropriate pressurization operating modes, we applied a two-year commissioning process to the 50-story building of interest. The 1st- and 47th-floor elevator halls were identified to have the highest noise levels of all other floors. Prior to applying the reduction plan, the maximum noise level on the first floor with the HVAC system turned off was 85 dB(A) and with the HVAC system turned on it was 70 dB(A). Both values exceeded the criteria of 57 dB(A) for a lobby space of a commercial building. In the case of the 47th floor, the maximum noise level with the HVAC system turned off was 58.7 dB(A) and with the HVAC system turned off was 56.0 dB(A), despite the latter having increased airtightness performance and applying preliminary pressurization (i.e., HVAC operation mode 2). These values exceeded the criteria of 48 dB(A) for an elevator hall in a commercial building. Following this initial data, we determined to pressurize the high/mid-rise zones of the building according to the outdoor air temperature and wind velocity conditions, which we categorized into four types (i.e., HVAC operation mode 4). To this effect, the first-floor elevator hall’s maximum noise level was 56.6 dB(A), meeting the criteria, and the 47th-floor elevator hall’s maximum noise level was 49.5 dB(A), still exceeding the criteria but by an insignificant amount. Although the HVAC pressurization operation we utilized resulted in favorable results for the target building A, it may not be as effective in other new high-rise buildings, creating changes to the indoor air environment or to the energy costs in maintaining a building. However, for the purposes of resolving the stack effect, we believe that the commissioning process we took to optimize the HVAC operation that is presented here can be applied to other new and existing high-rise commercial buildings.

Suggested Citation

  • Jungyeon Yu & Angie Kim & Sanghwan Bae & Dongwoo Cho & Kee Han Kim, 2021. "HVAC Operation Schemes and Commissioning Process Resolving Stack Effect Problem and Adjusting According to Changes in the Environment: A Case Study in High-Rise Building in South Korea," Energies, MDPI, vol. 14(8), pages 1-25, April.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:8:p:2299-:d:539067
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/8/2299/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/14/8/2299/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jung-yeon Yu & Kyoo-dong Song & Dong-woo Cho, 2017. "Resolving Stack Effect Problems in a High-Rise Office Building by Mechanical Pressurization," Sustainability, MDPI, vol. 9(10), pages 1-17, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Surajet Khonjun & Rapeepan Pitakaso & Kanchana Sethanan & Natthapong Nanthasamroeng & Kiatisak Pranet & Chutchai Kaewta & Ponglert Sangkaphet, 2022. "Differential Evolution Algorithm for Optimizing the Energy Usage of Vertical Transportation in an Elevator (VTE), Taking into Consideration Rush Hour Management and COVID-19 Prevention," Sustainability, MDPI, vol. 14(5), pages 1-19, February.

    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:gam:jeners:v:14:y:2021:i:8:p:2299-:d:539067. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.