Sensitivity analysis of predicted night cooling performance to internal convective heat transfer modelling

2011 ◽  
Vol 43 (9) ◽  
pp. 2429-2441 ◽  
Author(s):  
Kim Goethals ◽  
Hilde Breesch ◽  
Arnold Janssens
2021 ◽  
Vol 11 (11) ◽  
pp. 5240
Author(s):  
Georgios Maragkos ◽  
Tarek Beji

Progress in fire safety science strongly relies on the use of Computational Fluid Dynamics (CFD) to simulate a wide range of scenarios, involving complex geometries, multiple length/time scales and multi-physics (e.g., turbulence, combustion, heat transfer, soot generation, solid pyrolysis, flame spread and liquid evaporation), that could not be studied easily with analytical solutions and zone models. It has been recently well recognised in the fire community that there is need for better modelling of the physics in the near-wall region of boundary layer combustion. Within this context, heat transfer modelling is an important aspect since the fuel gasification rate for solid pyrolysis and liquid evaporation is determined by a heat feedback mechanism that depends on both convection and radiation. The paper focuses on convection and reviews the most commonly used approaches for modelling convective heat transfer with CFD using Large Eddy Simulations (LES) in the context of fire-driven flows. The considered test cases include pool fires and turbulent wall fires. The main assumptions, advantages and disadvantages of each modelling approach are outlined. Finally, a selection of numerical results from the application of the different approaches in pool fire and flame spread cases, is presented in order to demonstrate the impact that convective heat transfer modelling can have in such scenarios.


Author(s):  
V K Rao ◽  
M F Bardon

A formula is presented for computing the instantaneous convective heat transfer coefficient between the charge and the confining walls in a reciprocating engine. The formula is developed from basic considerations of turbulent diffusion and relates the convective heat transfer coefficient directly to the turbulence intensity in the charge. This feature distinguishes it from the existing methods of computing the convective heat transfer coefficient which require a precise specification of the continually changing velocity and length scales of the fluid flow. The proposed formula is therefore expected to be more accurate in heat transfer modelling for new and existing engines, particularly as turbulence measurements in engines progressively improve.


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