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

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  • Nayara Rodrigues Marques Sakiyama

    (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)

  • Jurgen Frick

    (Materials Testing Institute (MPA), University of Stuttgart, Pfaffenwaldring 2b, 70569 Stuttgart, Germany)

  • Timea Bejat

    (CEA, LITEN, DTS, LIPV, INES, University Grenoble Alpes, F-38000 Grenoble, France)

  • Harald Garrecht

    (Materials Testing Institute (MPA), University of Stuttgart, Pfaffenwaldring 2b, 70569 Stuttgart, Germany)

Abstract

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.

Suggested Citation

  • Nayara Rodrigues Marques Sakiyama & Jurgen Frick & Timea Bejat & Harald Garrecht, 2021. "Using CFD to Evaluate Natural Ventilation through a 3D Parametric Modeling Approach," Energies, MDPI, vol. 14(8), pages 1-27, April.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:8:p:2197-:d:536343
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    References listed on IDEAS

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    1. Chenari, Behrang & Dias Carrilho, João & Gameiro da Silva, Manuel, 2016. "Towards sustainable, energy-efficient and healthy ventilation strategies in buildings: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 1426-1447.
    2. Sakiyama, N.R.M. & Carlo, J.C. & Frick, J. & Garrecht, H., 2020. "Perspectives of naturally ventilated buildings: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 130(C).
    3. Tong, Zheming & Chen, Yujiao & Malkawi, Ali, 2016. "Defining the Influence Region in neighborhood-scale CFD simulations for natural ventilation design," Applied Energy, Elsevier, vol. 182(C), pages 625-633.
    4. Nari Yoon & Mary Ann Piette & Jung Min Han & Wentao Wu & Ali Malkawi, 2020. "Optimization of Window Positions for Wind-Driven Natural Ventilation Performance," Energies, MDPI, vol. 13(10), pages 1-25, May.
    5. Ramponi, Rubina & Angelotti, Adriana & Blocken, Bert, 2014. "Energy saving potential of night ventilation: Sensitivity to pressure coefficients for different European climates," Applied Energy, Elsevier, vol. 123(C), pages 185-195.
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    Cited by:

    1. Ardalan Aflaki & Masoud Esfandiari & Saleh Mohammadi, 2021. "A Review of Numerical Simulation as a Precedence Method for Prediction and Evaluation of Building Ventilation Performance," Sustainability, MDPI, vol. 13(22), pages 1-18, November.
    2. Jie Yin & Qingming Zhan & Muhammad Tayyab & Aqeela Zahra, 2021. "The Ventilation Efficiency of Urban Built Intensity and Ventilation Path Identification: A Case Study of Wuhan," IJERPH, MDPI, vol. 18(21), pages 1-16, November.
    3. Daniel Castro Medina & MCarmen Guerrero Delgado & Teresa Rocío Palomo Amores & Aurore Toulou & Jose Sánchez Ramos & Servando Álvarez Domínguez, 2022. "Climatic Control of Urban Spaces Using Natural Cooling Techniques to Achieve Outdoor Thermal Comfort," Sustainability, MDPI, vol. 14(21), pages 1-33, October.
    4. Nayara R. M. Sakiyama & Joyce C. Carlo & Leonardo Mazzaferro & Harald Garrecht, 2021. "Building Optimization through a Parametric Design Platform: Using Sensitivity Analysis to Improve a Radial-Based Algorithm Performance," Sustainability, MDPI, vol. 13(10), pages 1-25, May.
    5. Kusnandar & Indra Permana & Weiming Chiang & Fujen Wang & Changyu Liou, 2022. "Energy Consumption Analysis for Coupling Air Conditioners and Cold Storage Showcase Equipment in a Convenience Store," Energies, MDPI, vol. 15(13), pages 1-13, July.
    6. Piotr Michalak, 2022. "Thermal—Airflow Coupling in Hourly Energy Simulation of a Building with Natural Stack Ventilation," Energies, MDPI, vol. 15(11), pages 1-18, June.
    7. Habibi, Shahryar & Kamel, Ehsan & Memari, Ali M., 2024. "Design strategies for addressing COVID-19 issues in buildings," Energy, Elsevier, vol. 293(C).

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