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Research Article

Numerical studies on heat release rate in a room fire burning wood and liquid fuel

Na Cai, Wan-ki Chow( )
Research Centre for Fire Engineering, Department of Building Services Engineering, The Hong Kong Polytechnic University, Hong Kong, China
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Abstract

Heat release rates of burning gasoline and wood fires in a room were studied by computational fluid dynamics (CFD). Version 5.5.3 of the software Fire Dynamics Simulator (FDS), which is the latest one available, was selected as the CFD simulation tool. Predicted results were compared with two sets of reported data from full-scale burning tests. In the two sets of experiments, the scenarios were set at gasoline pool fire and wood chipboard fire with gasoline respectively. The input heating rate of gasoline pool fire based on experimental measurements was used in the first set of experiments. Three scenarios G1, G2 and G3 with different grid systems were simulated by CFD. The grid system of scenario G2 gave more accurate prediction, which was then used to study the second set of experiments on wood chipboard with gasoline. The combustion model in FDS was used in wood chipboard fire induced by gasoline pool. The wood chipboard was allowed to burn by itself using the pyrolysis model in FDS. The effects of the boundary conditions on free openings for the same set of experiments were studied by three scenarios SOB1, SOB2 and SOB3. Boundary condition SOB2 gave more reliable prediction among the three boundary conditions. Two other scenarios on the effect of moisture content of wood were also studied. The predicted HRR curve was found to agree better with experiment in using SOB2.

Keywords

computational fluid dynamicsheat release ratewoodnumerical studygasoline

References

 
ASHRAE (2001). ASHRAE Handbook—Fundamentals. Atlanta: American Society of Heating, Refrigerating and Air-Conditioning Engineers.
 
V Babrauskas, RD Peacock (1992). Heat release rate: The single most important variable in fire hazard. Fire Safety Journal, 18: 255-272.
Crossref Google Scholar
 
N Cai, WK Chow (2012). Numerical studies on heat release rate in room fire on liquid fuel under different ventilation factors. International Journal of Chemical Engineering, vol. 2012, Article ID 910869, doi:.
Crossref Google Scholar
 
MK Cheong, MJ Spearpoint, CM Fleischmann (2009). Calibrating an FDS simulation of goods-vehicle fire growth in a tunnel using the Runehamar experiment. Journal of Fire Protection Engineering, 19: 177-196.
Crossref Google Scholar
 
MK Cheong, MJ Spearpoint, CM Fleischmann (2010). A comparison of a statistical and computational fluid dynamics approach to estimate heat release rate in road tunnel fires. Fire Technology, 46: 531-549.
Crossref Google Scholar
 
WK Chow (2011). Fire safety concerns for subway systems in Hong Kong. In: Proceedings of Fire Safety Asia Conference (FiSAC), Singapore.
 
WK Chow (2012). Experience on implementing performance-based design in Hong Kong. Paper presented at 9th Asia-Oceania Symposium on Fire Science and Technology, Hefei, China.
Crossref
 
CL Chow, WK Chow (2009). A brief review on applying computational fluid dynamics in building fire hazard assessment. In: I Søgaard, H Krogh (eds), Fire Safety. Hauppauge, NY, USA: Nova Science Publishers.
Google Scholar
 
WK Chow, CL Chow, SS Li (2011). Simulating smoke filling in big halls by computational fluid dynamics. Modelling and Simulation in Engineering, Vol. 2011, Article ID 781252, doi:.
Crossref Google Scholar
 
WK Chow, GW Zou (2009). Numerical simulation of pressure changes in closed chamber fires. Building Environment, 44: 1261-1275.
Crossref Google Scholar
 
WK Chow,, Y Gao, H Dong, G Zou, L Meng (2002-2003). Full-scale burning tests on heat release rate of gasoline fire with water mist. Journal of Applied Fire Science, 11: 21-40.
Crossref Google Scholar
 
WK Chow, Y Gao, H Dong, GW Zou, Z Luo, L Meng (2003). Experimental studies on minimum heat release rates for flashover with oxygen consumption calorimetry. Architectural Science Review, 46: 291-296.
Crossref Google Scholar
 
G Cox, S Kumar (2002). Modelling enclosure fires using CFD. In: SFPE Handbook of Fire Protection Engineering, 3rd edn. Quincy, MA, USA: National Fire Protection Association, pp. 194-218.
Google Scholar
 
C Di Blasi (2008). Modeling chemical and physical processes of wood and biomass pyrolysis. Progress in Energy and Combustion Science, 34: 47-90.
Crossref Google Scholar
 
Forest Products Laboratory (1999). Wood Handbook: Wood as an Engineering Material. U.S. Department of Agriculture, Forest Service, Forest Products Laboratory.
 
ER Galea (1991). The mathematical modeling and computer simulation of fire development in aircraft. International Journal of Heat Mass Transfer, 34: 181-197.
Crossref Google Scholar
 
G Hadjisophocleous, YJ Ko (2009). Impact of various parameters on the CFD predictions of atrium smoke management systems. ASHRAE Transactions, 115(1): 263-270.
Google Scholar
 
CA Harper (2004). Handbook of Building Materials for Fire Protection. New York: McGraw-Hill.
 
T Hasegawa (2012). Introduction to the Building Standard Law—Building Regulation in Japan. Building Center of Japan.
 
M Horasan (2012). Fire safety challenges. In: Proceedings of International Fire Conference & Exhibition, Kuala Lumpur, Malaysia.
 
A Kashef, J Viegas, A Mos, N Harvey (2012). Design fires for road tunnels safety design. ASHRAE Transactions, 118(1): 636-644.
Google Scholar
 
JH Klote (1985). Computer modeling for smoke control design. Fire Safety Journal, 9: 181-188.
Crossref Google Scholar
 
D Madrzykowski, DW Stroup (2008). Flammability hazard of materials. In: AE Cote, CC Grant, JR Hall Jr., RE Solomon (eds), Fire Protection Handbook, 20th edn. Quincy, MA, USA: National Fire Protection Association, Vol. 1, Chap. 3, pp. 2/31-2/48.
Google Scholar
 
D Madrzykowski, WD Walton (2004). Cook County Administration Building Fire, 69 West Washington, Chicago, Illinois, October 17, 2003: Heat release rate experiments and FDS simulations. NIST SP 1021, NIST Special Publication 1021.
Crossref
 
NC Markatos, M Malin, G Cox (1982). Mathematical modeling of buoyancy-induced smoke flow in enclosures. International Journal of Heat Mass Transfer, 25: 63-75.
Crossref Google Scholar
 
A Matala (2008). Estimation of solid phase reaction parameters for fire simulation. Master Thesis, Helsinki University of Technology, Finland.
 
K McGrattan, S Hostikka, J Floyd, H Baum, R Rehm, W Mell, R McDermott (2009a). Fire Dynamics Simulator (Version 5): Technical Reference Guide. NIST SP 1018, NIST Special Publication 1018-5. Gaithersburg, MD, USA: National Institute of Standards and Technology.
 
KB McGrattan, B Klein, S Hostikka, JE Floyd (2009b). Fire Dynamics Simulator (Version 5), User's Guide. NIST Special Publication 1019-5. Gaithersburg, MD, USA: National Institute of Standards and Technology.
 
WK Mok, WK Chow (2004). Verification and validation in modelling fire by computational fluid dynamics. International Journal on Architectural Science, 5: 58-67.
Google Scholar
 
RD Peacock, PA Reneke, WD Davis, WW Jones (1999). Quantifying fire model evaluation using functional analysis. Fire Safety Journal, 33: 167-184.
Crossref Google Scholar
 
JG Quintiere (1998). Principles of Fire Behavior. Albany, NY, USA: Delmar Cengage Learning.
Crossref
 
A Schaelin, J van der Maas, A Moser (1992). Simulation of airflow through large openings in buildings. ASHRAE Transactions, 98(2): 319-328.
Google Scholar
 
TS Sharma, Y He, M Mahendran (2009). Lifts for emergency evacuation in apartment buildings. Fire Safety Science, 9: 439-450.
Crossref Google Scholar
 
P Smardz (2006). Validation of Fire Dynamics Simulator (FDS) for forced and natural convection flows. Master Thesis, University of Ulster, UK.
 
IR Thomas, KAM Moinuddin, ID Bennetts (2007). The effect of fuel quantity and location in small enclosure fires. Journal of Fire Protection Engineering, 17: 85-102.
Crossref Google Scholar
 
E Zalok, GV Hadjisophocleous (2011). Assessment of the use of fire dynamics simulator in performance-based design. Fire Technology, 47: 1081-1100.
Crossref Google Scholar
Building Simulation
Volume 7 Issue 5,
October 2014
Pages 511-524
DOI: 10.1007/s12273-014-0177-4
Cite this article:
Cai N, Chow W-k. Numerical studies on heat release rate in a room fire burning wood and liquid fuel. Building Simulation, 2014, 7(5): 511-524. https://doi.org/10.1007/s12273-014-0177-4

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Received: 21 March 2013
Revised: 08 January 2014
Accepted: 03 February 2014
Published: 25 March 2014
© Tsinghua University Press and Springer-Verlag Berlin Heidelberg 2014
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