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Improving prediction of dynamic zonal modelling for atrium thermal environment

  • Yanyu Lu
  • , Yan Xiang
  • , Gang Chen
  • , Jing Liu*
  • *Corresponding author for this work
  • Harbin institute of technology
  • Ministry of Industry and Information Technology
  • Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The atrium has become a central feature of modern buildings. Predicting the atrium thermal performance, however, still faces lots of challenges. Computational Fluid Dynamics can provide detailed simulation results, but it is not practically applicable to large complex spaces. The conventional zonal models require less computational effort but have a lower accuracy. Thus, this paper aims at improving the dynamic zonal prediction for the case of the atrium thermal environment. Firstly, an airflow network composed of air volumes and flow paths is constructed in the space. Then, a simplified momentum equation is implemented to calculate kinetic energy conservation, transformation and dispassion. By comparing the simulated and measured air temperatures of a five-storey atrium, it is shown the zonal method can obtain a quick and reasonable prediction of atrium thermal performance.

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
Pages585-592
Number of pages8
ISBN (Electronic)9781713809418
StatePublished - 2019
Externally publishedYes
Event16th International Conference of the International Building Performance Simulation Association, Building Simulation 2019 - Rome, Italy
Duration: 2 Sep 20194 Sep 2019

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
Period2/09/194/09/19

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

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