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Open AccessDissertation10.47749/t/unicamp.2003.287947

Comparação entre as tecnicas de analise termogravimetrica e leito fluidizado para pirolise de biomassa

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The goal of this work was the improve the achievement of kinetic parameters for pyrolysis reactions of biomass. Such parameters are important in the design and simulation of biomass gasification reactors with energetic purposes. The studied biomass were Sugarcane Bagasse, Grass and Waste Wood. One of the experiments usually done to obtain the parameters is one simple technique widely used in laboratorial scale: Thermalgravimetric Analysis (TGA). The parameters can also be measured with the use of a Fluidized Bed, that does in laboratorial scale a process similar to those that carry out in real reactors. Although, these two measuring ways have been showing different results, since the reaction conditions in a reactor are very different from those in a TGA equipment. A mathematical model, build from experimental data obtained by both techniques, is proposed in this work. The model intends to allow that TGA data are enough to to predict kinetic behavior of biomass when pyrolyzed in Fluidi

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The goal of this work was the improve the achievement of kinetic parameters for pyrolysis reactions of biomass. Such parameters are important in the design and simulation of biomass gasification reactors with energetic purposes. The studied biomass were Sugarcane Bagasse, Grass and Waste Wood. One of the experiments usually done to obtain the parameters is one simple technique widely used in laboratorial scale: Thermalgravimetric Analysis (TGA). The parameters can also be measured with the use of a Fluidized Bed, that does in laboratorial scale a process similar to those that carry out in real reactors. Although, these two measuring ways have been showing different results, since the reaction conditions in a reactor are very different from those in a TGA equipment. A mathematical model, build from experimental data obtained by both techniques, is proposed in this work. The model intends to allow that TGA data are enough to to predict kinetic behavior of biomass when pyrolyzed in Fluidi

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