Simulating natural ventilation in large sports buildings

Prediction of temperature and airflow patterns in the early design stages

Conference Paper (2016)
Author(s)

Antonio D'Aquilio (TU Delft - Design Informatics)

R Šileryte (TU Delft - Design Informatics)

Ding Yang (South China University of Technology, TU Delft - Design Informatics)

Michela Turrin (South China University of Technology, TU Delft - Design Informatics)

Research Group
Design Informatics
Copyright
© 2016 A. D'Aquilio, R. Sileryte, D. Yang, M. Turrin
More Info
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Publication Year
2016
Language
English
Copyright
© 2016 A. D'Aquilio, R. Sileryte, D. Yang, M. Turrin
Research Group
Design Informatics
Pages (from-to)
43-50
ISBN (print)
978-1-365-05872-1
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

In large sport’s buildings, a big part of energy can be saved by providing natural instead of mechanical ventilation. However, additional challenges arise while controlling airflow and temperatures in different zones. These measures
highly depend on the shape, construction and ventilation openings, which are mostly decided in the early design stages. Computational optimization can support these early stages of design, but needs to be performed in efficient ways. In this respect, the project proposes rapid assessment of temperature and airflow patterns using customized Grasshopper components, which would be able to evaluate a given model using CONTAM and EnergyPlus software as
simulation engine. The proposed method integrates these simulations within an environment, which is familiar to architects and is largely used for parameterization of design in its early stages. A case study (Jiangmen Sports Center, Jiangmen, China) is used to test the developed process for a large indoor sports hall.

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