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KINETICS OF PYROLYSIS OF MESQUITE FUEL -COMPARISON OF DIFFERENT METHODS

机译:混合燃料热解的动力学-不同方法的比较

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Recently Torrefaction processes are used to improve the quality of fuels. Upper limit on torrefaction temperature can be determined using the maximum volatile release method (MVR) in deducing the kinetics of pyrolysis. The single reaction model (SRM), parallel reaction model (PRM also known as distributed reaction model) and three component models (TCM for hemicellulose, cellulose and lignin) of pyrolysis are briefly reviewed. The MVR method uses the maximum volatile release rate conditions for extracting the kinetics of pyrolysis. Thermogravimetric (TGA) and Differential Thermal (DTA) analyses for mesquite biomass were performed in a thermogravimetric instrument and particularly the pyrolysis data of the mesquite samples from MVR are compared with those of SRM and PRM. The focus of current paper is on the extraction of kinetics data (activation energies and pre-exponential factors) from various methods: MVR for the SRM (called as SRM-MVR), PRM and SRM-CA and on the comparison of experimental data with model predictions from SRM-MVR, SRM-CA and PRM for mesquite fuel. It was found that the SRM-CA displays the largest error to predict the mass loss, and SRM-MVR generated less error than SRM-CA even though the kinetics data for SRM-MVR were extracted using a single point. The predicted pyrolysis behavior from the PRM exhibits the best agreement for the whole domain of pyrolysis but peak point which is of importance in torrefaction process is not predicted well. Particularly the kinetics data generated with SRM-MVR is useful in estimating the upper limit on temperature of torrefaction for biomass fuels.
机译:最近,烘焙工艺被用于提高燃料的质量。可以通过推导热解动力学的最大挥发物释放方法(MVR)来确定焙烧温度的上限。简要回顾了热解的单反应模型(SRM),平行反应模型(PRM,也称为分布式反应模型)和三组分模型(半纤维素,纤维素和木质素的TCM)。 MVR方法使用最大挥发物释放速率条件来提取热解动力学。在热重分析仪中对豆科植物生物质进行了热重(TGA)和差热(DTA)分析,特别是将MVR中的豆科植物样品的热解数据与SRM和PRM的热解数据进行了比较。本文的重点是从多种方法中提取动力学数据(活化能和指数前因子):用于SRM的MVR(称为SRM-MVR),PRM和SRM-CA,以及与实验数据的比较。来自SRM-MVR,SRM-CA和PRM的豆科植物燃料模型预测。发现SRM-CA显示出最大的误差来预测质量损失,即使SRM-MVR的动力学数据是用单点提取的,SRM-MVR产生的误差也比SRM-CA少。从PRM预测的热解行为在整个热解范围内表现出最好的一致性,但是对焙干过程中重要的峰点却没有很好的预测。特别是,用SRM-MVR生成的动力学数据可用于估算生物质燃料的焙烧温度上限。

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