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A Review of Numerical Simulation as a Precedence Method for Prediction and Evaluation of Building Ventilation Performance

Author

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  • Ardalan Aflaki

    (School of Architecture and Art, University of Guilan, Rasht 41996-13776, Iran)

  • Masoud Esfandiari

    (Faculty of Architecture and Urban Planning, Shahid Beheshti University, Tehran 19839-69411, Iran)

  • Saleh Mohammadi

    (Department of Architectural Engineering & Technology, Faculty of Architecture and the Built Environment, Delft University of Technology, 2628 BL Delft, The Netherlands
    Research Group Sustainable Building Technology, School of Business Building & Technology, Saxion University of Applied Sciences, 7500 KB Enschede, The Netherlands)

Abstract

Natural ventilation has been used widely in buildings to deliver a healthy and comfortable indoor environment for occupants. It also reduces the consumption of energy in the built environment and dilutes the concentration of carbon dioxide. Various methods and techniques have been used to evaluate and predict indoor airspeed and patterns in buildings. However, few studies have been implemented to investigate the relevant methods and tools for the evaluation of ventilation performance in indoor and outdoor spaces. The current study aims to review available methods, identifying reliable ones to apply in future research. This study investigates scientific databases and compares the advantages and drawbacks of methods including analytical models, empirical models, zonal models, and CFD models. The findings indicated the computational fluid dynamics (CFD) model is the most relevant method because of cost-effectiveness, informative technique, and proficiency to predict air velocity patterns and ratios in buildings. Finally, widely used CFD codes and tools are compared considering previous studies. It is concluded the application of codes for research is subject to the complexity and characteristics of a studied model, the area and field of study, the desired turbulence model, and the user interface.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:22:p:12721-:d:681193
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    References listed on IDEAS

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    1. Calautit, John Kaiser & O’Connor, Dominic & Tien, Paige Wenbin & Wei, Shuangyu & Pantua, Conrad Allan Jay & Hughes, Ben, 2020. "Development of a natural ventilation windcatcher with passive heat recovery wheel for mild-cold climates: CFD and experimental analysis," Renewable Energy, Elsevier, vol. 160(C), pages 465-482.
    2. Abolfazl Heidari & Sadra Sahebzadeh & Zahra Dalvand, 2017. "Natural Ventilation in Vernacular Architecture of Sistan, Iran; Classification and CFD Study of Compound Rooms," Sustainability, MDPI, vol. 9(6), pages 1-19, June.
    3. Polterovich, Victor & Popov, Vladimir, 2006. "Эволюционная Теория Экономической Политики: Часть I: Опыт Быстрого Развития [An Evolutionary Theory of Economic Policy: Part I: The Experience of Fast Development]," MPRA Paper 22168, University Library of Munich, Germany.
    4. Calautit, John Kaiser & Tien, Paige Wenbin & Wei, Shuangyu & Calautit, Katrina & Hughes, Ben, 2020. "Numerical and experimental investigation of the indoor air quality and thermal comfort performance of a low energy cooling windcatcher with heat pipes and extended surfaces," Renewable Energy, Elsevier, vol. 145(C), pages 744-756.
    5. Zhang, Haihua & Yang, Dong & Tam, Vivian W.Y. & Tao, Yao & Zhang, Guomin & Setunge, Sujeeva & Shi, Long, 2021. "A critical review of combined natural ventilation techniques in sustainable buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 141(C).
    6. 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.
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    Citations

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    Cited by:

    1. Ka-Ming Wai & Peter K. N. Yu, 2023. "Application of a Machine Learning Method for Prediction of Urban Neighborhood-Scale Air Pollution," IJERPH, MDPI, vol. 20(3), pages 1-10, January.
    2. Chrysa Politi & Antonis Peppas & Maria Taxiarchou, 2023. "Data-Driven Integrated Decision Model for Analysing Energetic Behaviour of Innovative Construction Materials Capable of Hybrid Energy Storage," Sustainability, MDPI, vol. 15(17), pages 1-20, August.
    3. Jie Liang & Liyue Zeng & Shengzhen Zhou & Xuemei Wang & Jiajia Hua & Xuelin Zhang & Zhongli Gu & Lejian He, 2023. "Combined Effects of Photochemical Processes, Pollutant Sources and Urban Configuration on Photochemical Pollutant Concentrations," Sustainability, MDPI, vol. 15(4), pages 1-24, February.
    4. Shen Yang & Sebastian Duque Mahecha & Sergi Aguacil Moreno & Dusan Licina, 2022. "Integration of Indoor Air Quality Prediction into Healthy Building Design," Sustainability, MDPI, vol. 14(13), pages 1-18, June.
    5. 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.
    6. Hajdukiewicz, Magdalena & González Gallero, Francisco Javier & Mannion, Paul & Loomans, Marcel G.L.C. & Keane, Marcus M., 2024. "A narrative review to credible computational fluid dynamics models of naturally ventilated built environments," Renewable and Sustainable Energy Reviews, Elsevier, vol. 198(C).

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