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Using CFD to Evaluate Natural Ventilation through a 3D Parametric Modeling Approach

Materials Testing Institute (MPA), University of Stuttgart, Pfaffenwaldring 2b, 70569 Stuttgart, Germany
Institute for Science, Engineering and Technology (ICET), Federal University of Jequitinhonha and Mucuri Valleys (UFVJM), R. Cruzeiro, 01-Jardim São Paulo, Teófilo Otoni 39803-371, Brazil
CEA, LITEN, DTS, LIPV, INES, University Grenoble Alpes, F-38000 Grenoble, France
Author to whom correspondence should be addressed.
Academic Editor: Nuria Forcada
Energies 2021, 14(8), 2197;
Received: 23 March 2021 / Revised: 8 April 2021 / Accepted: 9 April 2021 / Published: 15 April 2021
Predicting building air change rates is a challenge for designers seeking to deal with natural ventilation, a more and more popular passive strategy. Among the methods available for this task, computational fluid dynamics (CFD) appears the most compelling, in ascending use. However, CFD simulations require a range of settings and skills that inhibit its wide application. With the primary goal of providing a pragmatic CFD application to promote wind-driven ventilation assessments at the design phase, this paper presents a study that investigates natural ventilation integrating 3D parametric modeling and CFD. From pre- to post-processing, the workflow addresses all simulation steps: geometry and weather definition, including incident wind directions, a model set up, control, results’ edition, and visualization. Both indoor air velocities and air change rates (ACH) were calculated within the procedure, which used a test house and air measurements as a reference. The study explores alternatives in the 3D design platform’s frame to display and compute ACH and parametrically generate surfaces where air velocities are computed. The paper also discusses the effectiveness of the reference building’s natural ventilation by analyzing the CFD outputs. The proposed approach assists the practical use of CFD by designers, providing detailed information about the numerical model, as well as enabling the means to generate the cases, visualize, and post-process the results. View Full-Text
Keywords: natural ventilation; CFD; ventilation rate; 3D parametric modeling natural ventilation; CFD; ventilation rate; 3D parametric modeling
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  • Externally hosted supplementary file 1
    Doi: doi:10.17632/hy6mjv8f6t.1
    Description: The dataset includes both 3D model (Rhino file), Grasshopper, and OpenFoam files (θ=0º) of the natural ventilation investigations (scenario 2) performed with the I-MA experimental house. The documents used to post-process ACH, including the ParaView description, Grasshopper, Rhino, and .csv files, are also accessible within the link.
MDPI and ACS Style

Rodrigues Marques Sakiyama, N.; Frick, J.; Bejat, T.; Garrecht, H. Using CFD to Evaluate Natural Ventilation through a 3D Parametric Modeling Approach. Energies 2021, 14, 2197.

AMA Style

Rodrigues Marques Sakiyama N, Frick J, Bejat T, Garrecht H. Using CFD to Evaluate Natural Ventilation through a 3D Parametric Modeling Approach. Energies. 2021; 14(8):2197.

Chicago/Turabian Style

Rodrigues Marques Sakiyama, Nayara, Jurgen Frick, Timea Bejat, and Harald Garrecht. 2021. "Using CFD to Evaluate Natural Ventilation through a 3D Parametric Modeling Approach" Energies 14, no. 8: 2197.

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