IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i13p2560-d245324.html
   My bibliography  Save this article

Development of a Thermal Environment Analysis Method for a Dwelling Containing a Colonnade Space through Coupled Energy Simulation and Computational Fluid Dynamics

Author

Listed:
  • Tatsuhiro Yamamoto

    (Architecture and Equipment Engineering, Kurume Institute of Technology, Kurume 8300052, Japan)

  • Akihito Ozaki

    (Graduate School of Human-Environment Studies, Kyushu University, Fukuoka 8190395, Japan)

  • Myonghyang Lee

    (Department of Science and Engineering, Ritsumeikan University, Kusatsu 5258577, Japan)

Abstract

In building design, several approaches have been proposed for coupling computational fluid dynamics (CFD) and energy simulation (ES) to perform analyses of thermal environments. The unsteady analysis of thermal environments within buildings containing offices and colonnade spaces is difficult to perform using an ES that represents the space with a single mass point, owing to excessive predictive heat loss; therefore, CFD has typically been used instead. Although it is possible to divide the space into zones using ES, it leads to excessive predicted heat loss and the prediction of heat movement due to the influence of strong air currents, such as those associated with air conditioners. This behavior is observed because these zones are not detailed mesh divisions. To solve these problems, we proposed a method for calculating the ratio of heat contribution to zones that were pre-divided using CFD followed by the distribution of the total thermal load calculated by ES. In this study, we proposed a method for coupling ES and CFD, which enabled the unsteady analysis of a thermal environment in a large space and verified its accuracy.

Suggested Citation

  • Tatsuhiro Yamamoto & Akihito Ozaki & Myonghyang Lee, 2019. "Development of a Thermal Environment Analysis Method for a Dwelling Containing a Colonnade Space through Coupled Energy Simulation and Computational Fluid Dynamics," Energies, MDPI, vol. 12(13), pages 1-20, July.
  • Handle: RePEc:gam:jeners:v:12:y:2019:i:13:p:2560-:d:245324
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/13/2560/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/12/13/2560/
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Tatsuhiro Yamamoto & Akihito Ozaki & Myonghyang Lee, 2021. "Optimal Air Conditioner Placement Using a Simple Thermal Environment Analysis Method for Continuous Large Spaces with Predominant Advection," Energies, MDPI, vol. 14(15), pages 1-24, July.

    More about this item

    Keywords

    ES; CFD; large space; heat loss;
    All these keywords.

    Statistics

    Access and download statistics

    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:12:y:2019:i:13:p:2560-:d:245324. 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: 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.