Modelling and effects of fuel radiation ...
Document type :
Article dans une revue scientifique: Article original
Permalink :
Title :
Modelling and effects of fuel radiation in methanol pool fires
Author(s) :
Consalvi, Jean-Louis [Auteur]
Institut universitaire des systèmes thermiques industriels [IUSTI]
Nmira, Fatiha [Auteur]
EDF R&D [EDF R&D]
Andre, Frederic [Auteur]
Laboratoire d'Optique Atmosphérique (LOA) - UMR 8518
Université Claude Bernard Lyon 1 [UCBL]
Institut universitaire des systèmes thermiques industriels [IUSTI]
Nmira, Fatiha [Auteur]
EDF R&D [EDF R&D]
Andre, Frederic [Auteur]
Laboratoire d'Optique Atmosphérique (LOA) - UMR 8518
Université Claude Bernard Lyon 1 [UCBL]
Journal title :
Fire Safety Journal
Volume number :
140
Pages :
-
Publication date :
2024-01-10
ISSN :
0379-7112
Keyword(s) :
Radiative heat transfer
Modelling
Fuel dome
Methanol pool fires
Multi-scale rank-correlated full-spectrum k
Modelling
Fuel dome
Methanol pool fires
Multi-scale rank-correlated full-spectrum k
English abstract : [en]
This article proposes a computationally affordable radiative heat transfer model to predict accurately the feedback toward the fuel surface. It combines the multi-scale full-spectrum k (MSFSK) approach to model accurately ...
Show more >This article proposes a computationally affordable radiative heat transfer model to predict accurately the feedback toward the fuel surface. It combines the multi-scale full-spectrum k (MSFSK) approach to model accurately the radiative interaction between CO2/H2O and the fuel and the rank correlated (RCFSK) scheme. The model achieves the narrow band correlated-k model accuracy with only five quadrature points for each of the two scales. The predictions are also weakly dependent on the Planck temperature which allows to store efficiently the MSRCFSK parameters in a flamelet library. The model is implemented in a well-validated numerical model to provide large eddy simulations of 30 cm and 1 m diameter methanol pool fires. The heat feedback predictions are improved when methanol radiation is considered. The overall radiative contribution of methanol results from two competitive mechanisms: an increase in emission in the hot part of the fuel dome and an increase in absorption close to the pool surface. For both pool fires, the enhancement in emission overall dominates, leading to higher radiative loss and heat feedback. The contribution of absorption increases with the pool size and, as a result, the effects of methanol radiation are more pronounced for the 30 cm pool than for the 1 m one.Show less >
Show more >This article proposes a computationally affordable radiative heat transfer model to predict accurately the feedback toward the fuel surface. It combines the multi-scale full-spectrum k (MSFSK) approach to model accurately the radiative interaction between CO2/H2O and the fuel and the rank correlated (RCFSK) scheme. The model achieves the narrow band correlated-k model accuracy with only five quadrature points for each of the two scales. The predictions are also weakly dependent on the Planck temperature which allows to store efficiently the MSRCFSK parameters in a flamelet library. The model is implemented in a well-validated numerical model to provide large eddy simulations of 30 cm and 1 m diameter methanol pool fires. The heat feedback predictions are improved when methanol radiation is considered. The overall radiative contribution of methanol results from two competitive mechanisms: an increase in emission in the hot part of the fuel dome and an increase in absorption close to the pool surface. For both pool fires, the enhancement in emission overall dominates, leading to higher radiative loss and heat feedback. The contribution of absorption increases with the pool size and, as a result, the effects of methanol radiation are more pronounced for the 30 cm pool than for the 1 m one.Show less >
Audience :
Internationale
Popular science :
Non
Administrative institution(s) :
Université de Lille
CNRS
CNRS
Collections :
Submission date :
2024-01-16T23:03:13Z
2024-02-08T14:27:55Z
2024-02-08T14:27:55Z