·30· 北京化工大学学报（自然科学版） 2015年 formulations,solutions,evaluation,and application of (in Chinese) comprehensive combustion models[J].Progress in Ener- [7]邓建中，刘之行.计算方法[M.2版.西安：西安交 gy and Combustion Science,1999,25(4):387-436. 通大学出版社，2001. [2] Williams A,Pourkashanian M,Jones J M.Combustion of Deng JZ,Liu Z X.Computational method[M].2nd ed. pulverised coal and biomass[J].Progress in Energy and Xi'an:Xi'an Jiaotong University Press,2001.(in Chi- Combustion Science,2001,27(6):587-610. nese） [3]Jones J M,Pourkashanian M,Williams A,et al.A com- [8]Solomon P R,Hamblen D G,Carangelo R M,et al. prehensive biomass combustion model [J].Renewable General model of coal devolatilization[J].Energy Fu- Ener,2000,19(1):229-234. els,1988,2(4):405-422. [4]Donskoi E,McElwain D L S.Optimization of coal pyroly- [9]Niksa S,Lau C W.Global rates of devolatilization for va- sis modeling J].Combustion and Flame,2000,122 rious coal types[J].Combustion and Flame,1993,94: (3):359-367. 293-307. [5]Orfao JJ M.Review and evaluation of the approximations [10]Maki T,Takatsuno A,Miura K.Analysis of pyrolysis re- to the temperature integral[J].AIChE Journal,2007,53 actions of various coals including argonne premium coals (11):2905-2915. using a new distributed activation energy model[J].En- [6]胡国新，田伟学，许伟，等。大颗粒煤在移动床中的 erg&Fuels,1997,11(5):972-977. 热解模型[J].上海交通大学学报，2001,35(5)：733- [11]Cai J M,Wu W X,Liu R H.An overview of distributed 736. activation energy model and its application in the pyrolysis Hu G X,Tian W X,Xu W,et al.Devolatilization model of lignocellulosic biomass[J].Renewable and Sustain- of large coal particles in moving bed [J].Journal of able Energy Reviews,2014,36:236-246. Shanghai Jiaotong University,2001,35(5):733-736. Approximation of the distributed activation energy model (DAEM) for computational fluid dynamics CFD)simulations of coal or biomass pyrolysis MA YiYa QI Juan ZHAO XinLei LIU Hui* (State Key Laboratory of Chemical Resource Engineering,College of Chemical Engineering,Beijing University of Chemical Technology, Beijing 100029,China) Abstract:The complex decomposition kinetics of coal or biomass is usually interpreted with the distributed activa- tion energy model (DAEM).However,when applied directly in computational models,this model is highly com- putationally intensive,because it requires multiple integrations at every time step for each computing grid.The present work proposes an approximation of the DAEM to make it more convenient to incorporate in computational model code.The method significantly reduces the computational time and cost.In addition,it affords the yield of pyrolysis products and the rate of production exactly.Furthermore,the model predictions fitted well with the experi- ment data for biomass and coal pyrolysis. Key words:biomass;coal;pyrolysis;distributed activation energy modeling http://www.journal.buct.edu.cnformulations, solutions, evaluation, and application of comprehensive combustion models[J]. Progress in Ener鄄 gy and Combustion Science, 1999, 25(4): 387-436. [2] Williams A, Pourkashanian M, Jones J M. Combustion of pulverised coal and biomass[ J]. Progress in Energy and Combustion Science, 2001, 27(6): 587-610. [3] Jones J M, Pourkashanian M, Williams A, et al. A com鄄 prehensive biomass combustion model [ J ]. Renewable Energy, 2000, 19(1): 229-234. [4] Donskoi E, McElwain D L S. Optimization of coal pyroly鄄 sis modeling [ J ]. Combustion and Flame, 2000, 122 (3): 359-367. [5] 譫rf觔o J J M. Review and evaluation of the approximations to the temperature integral[J]. AIChE Journal, 2007, 53 (11): 2905-2915. [6] 胡国新, 田伟学, 许伟, 等. 大颗粒煤在移动床中的 热解模型[J]. 上海交通大学学报, 2001, 35(5): 733 - 736. Hu G X, Tian W X, Xu W, et al. Devolatilization model of large coal particles in moving bed [ J ]. Journal of Shanghai Jiaotong University, 2001, 35 (5): 733 -736. (in Chinese) [7] 邓建中, 刘之行. 计算方法[M]. 2 版. 西安: 西安交 通大学出版社, 2001. Deng J Z, Liu Z X. Computational method[M]. 2nd ed. Xi爷an: Xi爷an Jiaotong University Press, 2001. (in Chi鄄 nese) [8] Solomon P R, Hamblen D G, Carangelo R M, et al. General model of coal devolatilization[J]. Energy & Fu鄄 els, 1988, 2(4): 405-422. [9] Niksa S, Lau C W. Global rates of devolatilization for va鄄 rious coal types[ J]. Combustion and Flame, 1993, 94: 293-307. [10] Maki T, Takatsuno A, Miura K. Analysis of pyrolysis re鄄 actions of various coals including argonne premium coals using a new distributed activation energy model[ J]. En鄄 ergy & Fuels, 1997, 11(5): 972-977. [11] Cai J M, Wu W X, Liu R H. An overview of distributed activation energy model and its application in the pyrolysis of lignocellulosic biomass [ J]. Renewable and Sustain鄄 able Energy Reviews, 2014, 36: 236-246. Approximation of the distributed activation energy model (DAEM) for computational fluid dynamics (CFD) simulations of coal or biomass pyrolysis MA YiYa QI Juan ZHAO XinLei LIU Hui * (State Key Laboratory of Chemical Resource Engineering, College of Chemical Engineering, Beijing University of Chemical Technology, Beijing 100029, China) Abstract: The complex decomposition kinetics of coal or biomass is usually interpreted with the distributed activa鄄 tion energy model (DAEM). However, when applied directly in computational models, this model is highly com鄄 putationally intensive, because it requires multiple integrations at every time step for each computing grid. The present work proposes an approximation of the DAEM to make it more convenient to incorporate in computational model code. The method significantly reduces the computational time and cost. In addition, it affords the yield of pyrolysis products and the rate of production exactly. Furthermore, the model predictions fitted well with the experi鄄 ment data for biomass and coal pyrolysis. Key words: biomass; coal; pyrolysis; distributed activation energy modeling ·30· 北京化工大学学报(自然科学版) 2015 年 http://www.journal.buct.edu.cn