New mass loss kinetic model for thermal decomposition of biomass  被引量:6

New mass loss kinetic model for thermal decomposition of biomass

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作  者:LIU Naian FAN Weicheng R.Dobashi LIN Qizhao 

机构地区:[1]State Key Laboratory of Fire Science,University of Science and Technology of China,Hefei 230026,China [2]Department of Chemical System Engineering,School of Engineering,the University of Tokyo,7-3-1 Hongo,Bunkyo-ku,Tokyo,113,Japan

出  处:《Chinese Science Bulletin》2001年第16期1398-1402,共5页

基  金:This work was supported by the National Natural Science Foundation of China (Grant Nos. 59876039 59936140); the National Key Basic ResearchProgramm of China the China-Greece Joint Project 揑nvestigation on the Characteristics of Forest Fire in the Ear

摘  要:Based on non-isothermal experimental results for eight Chinese biomass species, a new kinetic model, named as the 損seudo bi-component separate-stage model (PBSM)? is developed in this note to describe the mass loss behavior of biomass thermal decomposition. This model gains an advantage over the commonly used 損seudo single-component overall model (PSOM)?and 損seudo multi-component overall model (PMOM)? By means of integral analysis it is indicated that the new model is suitable to describe the mass loss kinetics of wood and leaf samples under relatively low heating rates (e.g. 10℃/min, used in this work).Based on non-isothermal experimental results for eight Chinese biomass species, a new kinetic model, named as the 損seudo bi-component separate-stage model (PBSM)? is developed in this note to describe the mass loss behavior of biomass thermal decomposition. This model gains an advantage over the commonly used 損seudo single-component overall model (PSOM)?and 損seudo multi-component overall model (PMOM)? By means of integral analysis it is indicated that the new model is suitable to describe the mass loss kinetics of wood and leaf samples under relatively low heating rates (e.g. 10℃/min, used in this work).

关 键 词:BIOMASS MASS LOSS KINETICS thermal decomposition. 

分 类 号:Q147[生物学—生态学]

 

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