Prediction of a Small-Scale Pool Fire with FireFoam

Sedano, Camilo Andrés; Lopez, Omar D.; Ladino, Alexander; Muñoz, Felipe

doi:10.1155/2017/4934956

Cited by 6 publications

(2 citation statements)

References 23 publications

(47 reference statements)

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“…The widespread use of alternative and bio-derived fuels in recent decades has incentivized research on the chemistry of oxygenated fuels and light alcohols in particular, starting with methanol and ethanol [1,2]. In addition, the development of robust and accurate mechanisms predicting the chemistry of light alcohols has positive spillovers in several industrial fields [3,4].…”

Section: Introductionmentioning

confidence: 99%

Reduced Combustion Mechanism for Fire with Light Alcohols

Wako¹,

Pio²,

Salzano³

2021

Fire

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The need for sustainable energy has incentivized the use of alternative fuels such as light alcohols. In this work, reduced chemistry mechanisms for the prediction of fires (pool fire, tank fire, and flash fire) for two primary alcohols—methanol and ethanol—were developed, aiming to integrate the detailed kinetic model into the computational fluid dynamics (CFD) model. The model accommodates either the pure reactants and products or other intermediates, including soot precursors (C2H2, C2H4, and C3H3), which were identified via sensitivity and reaction path analyses. The developed reduced mechanism was adopted to predict the burning behavior in a 3D domain and for the estimation of the product distribution. The agreement between the experimental data from the literature and estimations resulting from the analysis performed in this work demonstrates the successful application of this method for the integration of kinetic mechanisms and CFD models, opening to an accurate evaluation of safety scenarios and allowing for the proper design of storage and transportation systems involving light alcohols.

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“…In most fire simulations performed by the LES method [11,12], the second-order central method is typically used for the convection term. Higher-order methods, such as fourth-order central method, are also sometimes employed [13,14].…”

Section: Introductionmentioning

confidence: 99%

The importance of compatible sub-grid scale and spatial discretization models on the simulation of large-scale pool fire

Safarzadeh

Heidarinejad

Pasdarshahri

2020

J Braz. Soc. Mech. Sci. Eng.

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Using discretization technique is one of the challenges associated with numerical modeling. In the Large Eddy Simulation (LES) method, this issue becomes more critical because it affects the sub-grid scale (SGS) model and creates errors. Using an LES method, we investigated the numerical errors and compatibility of different discretization methods with SGS in pool fire modeling. First-order, central, and second-order upwind and linear upwind stabilized transport (LUST) schemes were examined in Smagorinsky (S_SGS) and k-equation (K_SGS) sub-grid scales. First-order upwind and second-order upwind methods estimated the velocity field, temperature, and perturbation with a significant error, so that in the plume area, there was 90% error with the first-order upwind and 50% error with the second-order upwind concerning the results of the mean square horizontal velocity perturbation. With an error of 20%, the LUST method had a better agreement with the experimental results. Besides, SGS did not have a significant effect on the results of this method. However, the second-order upwind method was more consistent with the S_SGS model. To improve the results of upwind methods, Quadratic Upstream Interpolation for Convective Kinematics and Monotonic Upwind Scheme for Conservation Laws discretization methods are recommended.

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Prediction of a Small-Scale Pool Fire with FireFoam

Cited by 6 publications

References 23 publications

Reduced Combustion Mechanism for Fire with Light Alcohols

The importance of compatible sub-grid scale and spatial discretization models on the simulation of large-scale pool fire

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