Modeling the pyrolysis of wet wood using FireFOAM

被引:63
作者
Ding, Yanming [1 ]
Wang, Changjian [1 ,2 ]
Lu, Shouxiang [1 ]
机构
[1] Univ Sci & Technol China, State Key Lab Fire Sci, Hefei 230027, Peoples R China
[2] Hefei Univ Technol, Sch Civil Engn, Hefei, Anhui, Peoples R China
关键词
Pyrolysis; FireFOAM; Wet wood; Kinetics; Mass flux; LARGE-EDDY SIMULATION; BIOMASS PYROLYSIS; HEAT-FLUX; KINETICS; OPTIMIZATION; COMBUSTION; PARTICLE;
D O I
10.1016/j.enconman.2015.03.106
中图分类号
O414.1 [热力学];
学科分类号
摘要
A wet wood pyrolysis model was developed involving the combined influence of moisture, char oxidation, flame radiation and chemical reaction kinetics. Especially instead of multiple parallel reactions, a simple one-step nth-order Arrhenius expression for dry wood pyrolysis was combined with moisture drying reaction, which aimed at reducing the difficulty of obtaining kinetic and thermophysical parameters of intermediate solids. Code validation shows that the predicted surface temperature and total solid conversion ratio agree well with Shen et al.'s measured values in cone calorimeter under air atmosphere. The mass fluxes of water vapor and pyrolysate are analyzed as a function of wet wood thickness under various external radiation heat fluxes. The thickness has no effect on the maximum mass flux of vapor. The thickness of 8 mm is found to be the critical value with two peaks appearing simultaneously at pyrolysate mass flux profiles under 40 kW m(-2). For the cases with two peaks of pyrolysate mass flux, the thickness has little effect on the time and value at the first peak of pyrolysate. However, those at second peak vary obviously with thickness. The fitting correlations of vapor duration and second pyrolysate flux peak time were also obtained. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:500 / 506
页数:7
相关论文
共 29 条
[12]   Kinetics of pyrolysis and combustion of spherical wood particles in a fluidized bed [J].
di Celso, Giuseppe Mazziotti ;
Rapagna, Sergio ;
Prisciandaro, Marina ;
Zanoelo, Everton Fernando .
ENERGY CONVERSION AND MANAGEMENT, 2014, 82 :27-36
[13]   Genetic algorithms for optimisation of chemical kinetics reaction mechanisms [J].
Elliott, L ;
Ingham, DB ;
Kyne, AG ;
Mera, NS ;
Pourkashanian, M ;
Wilson, CW .
PROGRESS IN ENERGY AND COMBUSTION SCIENCE, 2004, 30 (03) :297-328
[14]  
Glass SV, 2010, WOOD HDB
[15]   Pyrolysis, combustion and gasification characteristics of miscanthus and sewage sludge [J].
Jayaraman, Kandasamy ;
Goekalp, Iskender .
ENERGY CONVERSION AND MANAGEMENT, 2015, 89 :83-91
[16]   EFFECTS OF EXTERNAL RADIANT-FLUX AND AMBIENT OXYGEN CONCENTRATION ON NONFLAMING GASIFICATION RATES AND EVOLVED PRODUCTS OF WHITE-PINE [J].
KASHIWAGI, T ;
OHLEMILLER, TJ ;
WERNER, K .
COMBUSTION AND FLAME, 1987, 69 (03) :331-345
[17]   The application of a genetic algorithm to estimate material properties for fire modeling from bench-scale fire test data [J].
Lautenberger, Chris ;
Rein, Guillermo ;
Fernandez-Pello, Carlos .
FIRE SAFETY JOURNAL, 2006, 41 (03) :204-214
[18]  
Lautenberger Chris, 2011, Fire Safety Science, V10, P751, DOI [DOI 10.3801/IAFSS.FSS.10-751, 10.3801/IAFSS.FSS.10-751]
[19]   Determination of pyrolysis characteristics and kinetics of palm kernel shell using TGA-FTIR and model-free integral methods [J].
Ma, Zhongqing ;
Chen, Dengyu ;
Gu, Jie ;
Bao, Binfu ;
Zhang, Qisheng .
ENERGY CONVERSION AND MANAGEMENT, 2015, 89 :251-259
[20]   Critical mass flux for flaming ignition of wet wood [J].
McAllister, S. .
FIRE SAFETY JOURNAL, 2013, 61 :200-206