Improvement in the Prediction of Gasoline Pool Fire Behaviour: CFD Modelling and Validation
The development and implementation of mathematical models through Computational Fluid Dynamics (CFD) techniques has been acknowledged as a promising tool for the prediction of hydrocarbon pool fires behaviours. In this sense, different approaches, with different assumptions and simplifications, and accounting for different phenomena, have been developed in the literature. However, the deviations in the predictions of the experimentally determined parameters, such as temperatures profiles, flame heights and radiative heat flux, by the implemented models are still high. Therefore, the implementation of these models to predict combustion phenomena and flame behaviours for various scenarios is limited. In this work, the software C3D is used to model gasoline pool fires of different diameters, and under different wind conditions, in order to improve the quality of the predictions of the flame behaviour. The modelled cases correspond to the experimental studies reported in literature. The results from the implemented model show an improved predictive quality when compared with other modelling works reported on literature for the same experimental cases. The deviations in the time averaged temperature, flame height, surface emissive power and radiative heat flux, has been calculated to be 5.0%, 0.05%, 6.32% and 3.82%, respectively.
S. Uribe et al., "Improvement in the Prediction of Gasoline Pool Fire Behaviour: CFD Modelling and Validation," Journal of Loss Prevention in the Process Industries, vol. 68, Elsevier, Nov 2020.
The definitive version is available at https://doi.org/10.1016/j.jlp.2020.104317
Chemical and Biochemical Engineering
Center for High Performance Computing Research
International Standard Serial Number (ISSN)
Article - Journal
© 2020 Elsevier, All rights reserved.
01 Nov 2020