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Updated: Oct 22, 2025

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Wind Environment Simulation Accuracy in Traditional Villages with Complex Layouts Based on CFD.

Xingbo Yao1, Shuo Han2, Bart Dewancker1

  • 1Faculty of Environmental Engineering, The University of Kitakyushu, Kitakyushu 808-0135, Japan.

International Journal of Environmental Research and Public Health
|August 27, 2021
PubMed
Summary

The SKE solver is best for simulating village ventilation in complex layouts, offering higher accuracy than RNG and RKE solvers. This research helps optimize rural wind environment simulations for better building design.

Keywords:
CFDbuilding environmentrural ventilationsteady-state simulation

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Area of Science:

  • Environmental Engineering
  • Computational Fluid Dynamics (CFD)
  • Urban Meteorology

Background:

  • Assessing village ventilation is crucial for sustainable rural development and resident comfort.
  • Complex building layouts in villages pose challenges for accurate wind environment simulations.
  • Traditional simulation methods may not adequately capture the nuances of rural wind dynamics.

Purpose of the Study:

  • To evaluate and compare the accuracy of three steady-state computational fluid dynamics (CFD) solvers (SKE, RNG, RKE) for simulating village ventilation.
  • To determine the most reliable solver for assessing wind speed, direction, and turbulence intensity in complex rural architectural layouts.
  • To provide guidance on selecting appropriate simulation tools for optimizing village wind environments.

Main Methods:

  • Utilized CFD-3D steady-state Reynolds-averaged Navier-Stokes (RANS) simulations.
  • Employed SKE, RNG, and RKE solvers to model the wind environment of a village in Southern Shaanxi, China.
  • Compared simulation results with measured data to validate solver performance and reliability.

Main Results:

  • The RNG solver demonstrated the lowest reliability for simulating wind speed (0.7881) and turbulence intensity (0.2473).
  • The SKE solver yielded results closest to measured data for wind speed (0.8625) and turbulence intensity (0.9088).
  • RNG solver tended to overestimate turbulence intensity and underestimate airflow rates, showing an average deviation of 42.61% with SKE and RKE at 1.7m.

Conclusions:

  • The SKE solver is recommended as the primary choice for simulating wind environment distribution in villages with complex building layouts.
  • Steady-state simulation solvers require thorough evaluation and validation against measured data for complex rural environments.
  • Accurate wind environment simulation is essential for effective ventilation assessment and sustainable rural planning.