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CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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_id	acadia20_574
id	acadia20_574
authors	Nguyen, John; Peters, Brady
year	2020
title	Computational Fluid Dynamics in Building Design Practice
doi	https://doi.org/10.52842/conf.acadia.2020.1.574
source	ACADIA 2020: Distributed Proximities / Volume I: Technical Papers [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95213-0]. Online and Global. 24-30 October 2020. edited by B. Slocum, V. Ago, S. Doyle, A. Marcus, M. Yablonina, and M. del Campo. 574-583.
summary	This paper provides a state-of-the-art of computational fluid dynamics (CFD) in the building industry. Two methods were used to find this new knowledge: a series of interviews with leading architecture, engineering, and software professionals; and a series of tests in which CFD software was evaluated using comparable criteria. The paper reports findings in technology, workflows, projects, current unmet needs, and future directions. In buildings, airflow is fundamental for heating and cooling, as well as occupant comfort and productivity. Despite its importance, the design of airflow systems is outside the realm of much of architectural design practice; but with advances in digital tools, it is now possible for architects to integrate air flow into their building design workflows (Peters and Peters 2018). As Chen (2009) states, “In order to regulate the indoor air parameters, it is essential to have suitable tools to predict ventilation performance in buildings.” By enabling scientific data to be conveyed in a visual process that provides useful analytical information to designers (Hartog and Koutamanis 2000), computer performance simulations have opened up new territories for design “by introducing environments in which we can manipulate and observe” (Kaijima et al. 2013). Beyond comfort and productivity, in recent months it has emerged that air flow may also be a matter of life and death. With the current global pandemic of SARS-CoV-2, it is indoor environments where infections most often happen (Qian et al. 2020). To design architecture in a post-COVID-19 environment will require an in-depth understanding of how air flows through space.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	caadria2013_042
id	caadria2013_042
authors	Kaijima, Sawako; Roland Bouffanais and Karen Willcox
year	2013
title	Computational Fluid Dynamics for Architectural Design
doi	https://doi.org/10.52842/conf.caadria.2013.169
source	Open Systems: Proceedings of the 18th International Conference on Computer-Aided Architectural Design Research in Asia (CAADRIA 2013) / Singapore 15-18 May 2013, pp. 169-178
summary	Computational Fluid Dynamics (CFD) is a cost-effective, well-known technique widely employed in industrial design. While indoor analysis can be achieved via CFD, Wind Tunnel Testing (WTT) is still the prevailing mode of analysis for outdoor studies. WTT is often only performed a few times during the course of a building design/construction cycle and primarily for verification purposes. This paper presents a cross-disciplinary research initiative aiming to make CFD understandable and accessible to the architecture community. Our particular interest is in the incorporation of CFD into the early stages of architectural design. Many critical decisions, including those pertaining to building performance, are made during these stages, and we believe access to wind/airflow information during these stages will help architects make responsible design decisions. As a first step, we designed a passive cooling canopy for a bus stop based on the equatorial climatic conditions of Singapore where wind/airflow was a driving factor for geometry generation. We discuss our strategies for overcoming the two bottlenecks we identified when utilising CFD for this framework: mesh generation and result comprehension/visualisation.
wos	WOS:000351496100017
keywords	CFD, Simulation, Visualization, Concept design
series	CAADRIA
email
last changed	2022/06/07 07:52

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