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Analysis of Winter Environment Based on CFD Simulation: A Case Study of Long–Hu Sand Feng Shui Layout at Jiangxi Bailudong Academy Complex

Autor(en):


Medium: Fachartikel
Sprache(n): Englisch
Veröffentlicht in: Buildings, , n. 4, v. 13
Seite(n): 1101
DOI: 10.3390/buildings13041101
Abstrakt:

In ancient Chinese architecture, Feng Shui was a prevalent practice used to enhance the built environment. This study utilized computer simulation techniques to assess the effectiveness of Long–Hu Sand layout Feng Shui in the Bailudong Academy complex in Jiangxi, China, compared to a layout without Feng Shui principles. Computational fluid dynamics (CFD) were employed to simulate the winter courtyard wind environment, and the resulting simulations were used to analyze the winter courtyard ventilation of both layouts. The findings indicate that the Feng Shui layout provided better wind speed and pressure ratios in the winter courtyard, which were more conducive to human comfort and helped prevent the infiltration of cold winter air. The area of ideal wind pressure difference between the front and back of the main house for indoor ventilation in winter was also larger in the Feng Shui layout compared to the non-Feng Shui layout, meeting the standard for wind environment evaluation. The study highlights the ecological wisdom of ancient Chinese people and confirms that optimizing Feng Shui improves the wind environment of the courtyard in winter. The practical implications of these results include improving comfort and sustainability in contemporary architecture and urban planning.

Copyright: © 2023 by the authors; licensee MDPI, Basel, Switzerland.
Lizenz:

Dieses Werk wurde unter der Creative-Commons-Lizenz Namensnennung 4.0 International (CC-BY 4.0) veröffentlicht und darf unter den Lizenzbedinungen vervielfältigt, verbreitet, öffentlich zugänglich gemacht, sowie abgewandelt und bearbeitet werden. Dabei muss der Urheber bzw. Rechteinhaber genannt und die Lizenzbedingungen eingehalten werden.

  • Über diese
    Datenseite
  • Reference-ID
    10728163
  • Veröffentlicht am:
    30.05.2023
  • Geändert am:
    01.06.2023
 
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