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A narrative review to credible computational fluid dynamics models of naturally ventilated built environments

Author

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  • Hajdukiewicz, Magdalena
  • González Gallero, Francisco Javier
  • Mannion, Paul
  • Loomans, Marcel G.L.C.
  • Keane, Marcus M.

Abstract

This narrative review describes the capabilities of computational fluid dynamics (CFD) to support the scientific analysis of fluid flows inside buildings, focusing on natural ventilation. The challenges posed by CFD, such as mesh generation, boundary conditions specification, choice of turbulence or radiation models and the ability to estimate the accuracy of results are explored. For the first time, this work provides a summary of verification and validation studies relating to CFD models of different built environments, and detailed validation studies of naturally ventilated spaces. This review summarises the most common guidelines and conclusions drawn from literature relating to CFD modelling of indoor environments that are naturally ventilated.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:rensus:v:198:y:2024:i:c:s1364032124001278
    DOI: 10.1016/j.rser.2024.114404
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    References listed on IDEAS

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    1. Lingzhu Li & Xuehu Zhu & Lixing Zhu, 2023. "Adaptive-to-Model Hybrid of Tests for Regressions," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 118(541), pages 514-523, January.
    2. 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).
    3. Xizhong Shen & Ran Li, 2023. "BroadBand-Adaptive VMD with Flattest Response," Mathematics, MDPI, vol. 11(8), pages 1-15, April.
    4. Li, Sheng & Liu, Wenwen & Wu, Ruizi & Li, Junli, 2023. "An adaptive attack model to network controllability," Reliability Engineering and System Safety, Elsevier, vol. 235(C).
    5. Bhattacharyya, Suvanjan & Dey, Kunal & Paul, Akshoy Ranjan & Biswas, Ranjib, 2020. "A novel CFD analysis to minimize the spread of COVID-19 virus in hospital isolation room," Chaos, Solitons & Fractals, Elsevier, vol. 139(C).
    6. 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.
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