Analysis of heat transfer in a slim double skin façade using CFD simulation

Haneul Choi, Kyungmo Kang, Youngsub An, Eunjin Kim, Yungyu Lee, Taeyeon Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In this study, we analyzed the heat transfer mechanism in a slim double skin facade (SDSF). Computational fluid dynamics (CFD) simulations were exploited and the model was validated with measured data from full-scale experiments. Based on the simulations, we analyzed both the type and amount of heat that entered a room, in addition to the amount of heat released through the cavity. We also performed a parametric study on the effect of the type of outer glass on heat transfer. The results indicate that it is advantageous to use colored or low-emissivity glass as the outer glass to improve cooling performance using SDSF.

Original languageEnglish
Title of host publication16th International Conference of the International Building Performance Simulation Association, Building Simulation 2019
EditorsVincenzo Corrado, Enrico Fabrizio, Andrea Gasparella, Francesco Patuzzi
PublisherInternational Building Performance Simulation Association
Pages718-723
Number of pages6
ISBN (Electronic)9781713809418
Publication statusPublished - 2019
Event16th International Conference of the International Building Performance Simulation Association, Building Simulation 2019 - Rome, Italy
Duration: 2019 Sept 22019 Sept 4

Publication series

NameBuilding Simulation Conference Proceedings
Volume1
ISSN (Print)2522-2708

Conference

Conference16th International Conference of the International Building Performance Simulation Association, Building Simulation 2019
Country/TerritoryItaly
CityRome
Period19/9/219/9/4

Bibliographical note

Publisher Copyright:
© (2019) by International Building Performance Simulation Association (IBPSA) All rights reserved.

All Science Journal Classification (ASJC) codes

  • Building and Construction
  • Architecture
  • Modelling and Simulation
  • Computer Science Applications

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