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Title: Using large eddy simulation to model buoyancy-driven natural ventilation
Author: Durrani, Faisal
Awarding Body: Loughborough University
Current Institution: Loughborough University
Date of Award: 2013
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The use of Large Eddy Simulation (LES) for modelling air flows in buildings is a growing area of Computational Fluid Dynamics (CFD). Compared to traditional CFD techniques, LES provides a more detailed approach to modelling turbulence in air. This offers the potential for more accurate modelling of low energy natural ventilation which is notoriously difficult to model using traditional CFD. Currently, very little is known about the performance of LES for modelling natural ventilation, and its computational intensity makes its practical use on desk top computers prohibitive. The objective of this work was to apply LES to a variety of natural ventilation strategies and to compile guidelines for practitioners on its performance, including the trade-off between accuracy and cost.
Supervisor: Not available Sponsor: ESPRC
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available
Keywords: Large eddy simulation ; Natural ventilation ; Buoyancy ; CFD ; RANS ; URANS