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INTEGRATION OF COMPUTATIONAL FLUID DYNAMICS INTO ARCHITECTURAL AND URBAN DESIGN WORKFLOWS: A METHODOLOGICAL FRAMEWORK

Marcell BГЎlint NГЎnГЎsi, ViktГіria SugГЎr, IstvГЎn Kistelegdi

First published: 2025https://doi.org/10.35603/sws.iscah.2025/s04.48View metrics

Abstract

Urban environments are at the forefront of climate change impacts, making airflow simulation a key tool for shaping resilient and sustainable cities. This research investigates the integration of computational fluid dynamics (CFD) simulations into architectural and urban design workflows. The study aims to connect architectural and planning processes with CFD-based analysis of urban airflow. Simulating wind patterns, ventilation, and pollutant dispersion in dense urban environments provides valuable insights for architects, planners, and decision makers in the early design stages. A representative city fragment was modeled in a standard architectural CAD platform and imported into ANSYS Discovery and Fluent, one of the most widely adopted CFD solvers in both academic and professional contexts. The primary outcome is a practical workflow that links architectural modeling tools with engineering simulation software, enabling detailed analysis of airflow at the urban scale. Key challenges included model simplification, geometry preparation, and ensuring interoperability across platforms. Despite these difficulties, the workflow proved successful. The findings demonstrate that CFD-based urban airflow simulation is both feasible and beneficial, offering a robust methodological pathway for advancing sustainable and resilient urban design.

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Publication details

Title
INTEGRATION OF COMPUTATIONAL FLUID DYNAMICS INTO ARCHITECTURAL AND URBAN DESIGN WORKFLOWS: A METHODOLOGICAL FRAMEWORK
Authors
Marcell BГЎlint NГЎnГЎsi, ViktГіria SugГЎr, IstvГЎn Kistelegdi
Proceedings
Proceedings of 12th SWS International Scientific Conference on Arts And Humanities - ISCAH 2025
Publisher
SGEM WORLD SCIENCE (SWS) Scholarly Society
Year
2025
Pages
453-460
SWS Citekey
Nanasi202510453460
ISSN
2682-9940
ISBN
978-3-903438-15-6
Language
en
Publication type
Proceedings Paper
Keywords
References17
  1. W. Wu, F. Guo, S. Elze, J. Knopp, and E. Banzhaf, “Deciphering the effects of 2D/3D urban morphology on diurnal cooling efficiency of urban green space,” Build Environ, vol. 266, p. 112047, Dec. 2024, DOI: 10.1016/J.BUILDENV.2024.112047.

  2. T. R. Oke, “The energetic basis of the urban heat island,” 1982.

  3. V. R. Khare, A. Vajpai, and D. Gupta, “A big picture of urban heat island mitigation strategies and recommendation for India,” Urban Clim, vol. 37, May 2021, DOI: 10.1016/j.uclim.2021.100845.

  4. S. W. Kim and R. D. Brown, “Urban heat island (UHI) intensity and magnitude estimations: A systematic literature review,” Jul. 20, 2021, Elsevier B.V. DOI: 10.1016/j.scitotenv.2021.146389.

  5. Y. Luo, Z. Wu, M. S. Wong, J. Yang, and Z. Jiao, “Simulating the impact of ventilation corridors for cooling air temperature in local climate zone scheme,” Sustain Cities Soc, vol. 115, Nov. 2024, DOI: 10.1016/j.scs.2024.105848.

  6. W. Wang, Y. Luo, C. Huan, W. Siyuan, and S. Liang, “Exploring the influence of building form parameters on three-dimensional ventilation potential in urban centers: A case study of Nanjing, China,” Journal of Urban Management, vol. 13, no. 2, pp. 262–278, Jun. 2024, DOI: 10.1016/j.jum.2024.03.001.

  7. Y. F. Tang, Y. B. Wen, H. Chen, Z. C. Tan, Y. H. Yao, and F. Y. Zhao, “Airflow Mitigation and Pollutant Purification in an Idealized Urban Street Canyon with Wind Driven Natural Ventilation: Cooperating and Opposing Effects of Roadside Tree Plantings and Non-uniform Building Heights,” Sustain Cities Soc, vol. 92, May 2023, DOI: 10.1016/j.scs.2023.104483.

  8. M. Kolman, M. Nanasi, A. Kerekes, D. Fridrich, V. Sugar, and I. Kistelegdi, “Applied Informatics in Urban Climate Assessment Methods - Status Quo, Challenges, Potentials,” in SACI, IEEE International Symposium on Applied Computational Intelligence and Informatics, Institute of Electrical and Electronics Engineers Inc., 2025, pp. 303–308. DOI: 10.1109/SACI66288.2025.11030128.

  9. J. Kim, S. Park, and G. Lee, “Analyzing urban thermal comfort changes due to modifications in urban material properties in a large-scale new town: A CFD study based on the universal thermal climate index (UTCI),” Sustain Cities Soc, vol. 130, Jul. 2025, DOI: 10.1016/j.scs.2025.106627.

  10. M. H. Elnabawi and R. Raveendran, “Meta-pragmatic investigation of passive strategies from ‘UHI– climatology’ nexus perspective with digital twin as assessment mechanism,” Journal of Urban Management, vol. 13, no. 3, pp. 332–356, Sep. 2024, DOI: 10.1016/j.jum.2024.03.002.

  11. A. M. Droste, A. A. M. Holtslag, and G. J. Steeneveld, “The urban wind island from a three-dimensional perspective,” Urban Clim, vol. 58, Nov. 2024, DOI: 10.1016/j.uclim.2024.102164.

  12. H. Jasak, “Error Analysis and Estimation for the Finite Volume Method with Applications to Fluid Flows,” 1996.

  13. M. Yoladi, E. F. Akyurek, and I. Kotcioglu, “Experimental investigation of cross-flow heat exchangers with helical fins: Performance analysis via RSM and ANN,” International Journal of Thermal Sciences, vol. 218, Dec. 2025, DOI: 10.1016/j.ijthermalsci.2025.110111.

  14. X. Xu, Z. Gao, and M. Zhang, “A review of simplified numerical approaches for fast urban airflow simulation,” Apr. 15, 2023, Elsevier Ltd. DOI: 10.1016/j.buildenv.2023.110200.

  15. M. Makvandi et al., “Resilience to climate change by improving air circulation efficiency and pollutant dispersion in cities: A 3D-UFO approach to urban block design,” Heliyon, vol. 10, no. 17, Sep. 2024, DOI: 10.1016/j.heliyon.2024.e36904.

  16. A. S. Abdelrazik et al., “Computational modeling of high-concentration solar systems using ANSYS-Fluent: Verified models, implemented methods, & existing challenges,” Jan. 01, 2026, Elsevier Ltd. DOI: 10.1016/j.rser.2025.116305.

  17. T. Yasuda, S. Ookawara, S. Yoshikawa, and H. Matsumoto, “Materials processing model-driven discovery framework for porous materials using machine learning and genetic algorithm: A focus on optimization of permeability and filtration efficiency,” Chemical Engineering Journal, vol. 453, Feb. 2023, DOI: 10.1016/j.cej.2022.139540.

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