Inferences for cross ventilation in indoor environments from aerodynamic simulation

Authors

DOI:

https://doi.org/10.46421/encac.v17i1.4621

Keywords:

Natural ventilation, Indoor ventilation, CFD, Simulation-Based Architectural Design

Abstract

In recent years, the design process in architecture has experienced significant increments arising from computational design, which allowed the exploration of design alternatives in real time based on parametric modeling. In the building's design, understanding most of the measurement systems in the context of natural ventilation could drive the decision-making process from the tests with computational simulations. This paper attempts to determine the flow pattern of natural ventilation in indoor environments under specific conditions from the CFD Ansys Fluent® R22 comprising five configurations analyzed comparatively to a control sample. Respecting the scientific reductions and using computational techniques for measurement from Aeronautics, satisfactory inferences were registered. We concluded that the diagonal positioning of the openings substantially accelerates the wind speed in indoor environments. This design strategy overrides the proposition of more openings when the intention is to increase the speed and renewal of indoor air.

Author Biography

André Araujo , Universidade Federal de Uberlândia

Architect and M.Sc. in Civil Engineering (Steel Structures). Ph.D. in Computational Design at the University of Campinas, Brazil, and Royal Melbourne Institute of Technology, Australia. Since 2017 he has been a lecturer in Architectural Design and Computation, and researcher at the Faculty of Architecture, Urban Planning, and Design at the Federal University of Uberlândia, Brazil, where he coordinates the Form-Based Information Lab (www.informa3d.xyz), dedicated to developing science and technology for the areas of Building Information Modeling and Computer Simulation.

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Published

2023-10-26

How to Cite

BITTAR, Mariana; ARAUJO , André; ALMEIDA, Odenir; MARTINS, Themis; SOUSA, Maurício. Inferences for cross ventilation in indoor environments from aerodynamic simulation. In: ENCONTRO NACIONAL DE CONFORTO NO AMBIENTE CONSTRUÍDO, 17., 2023. Anais [...]. [S. l.], 2023. p. 1–10. DOI: 10.46421/encac.v17i1.4621. Disponível em: https://eventos.antac.org.br/index.php/encac/article/view/4621. Acesso em: 21 nov. 2024.

Issue

Section

4. Desempenho Térmico do Ambiente Construído