Biomass is an alternative to fossil fuels that has a lower impact on the environment and is thus of great interest to replace fossil fuels for energy production. There are several technologies to convert the stored energy in biomass into useful energy and this thesis focuses on the process of gasification. The purpose of this thesis is to investigate how the prediction accuracy of gas composition in a kinetic model for fluidized bed gasifier is affected when hydrodynamic parameters are introduced into the model. Two fluidized bed gasifier models has therefore been set up in order to evaluate the affects: one model which only considers the kinetics of a gasifier and a second model which includes both the kinetics and the hydrodynamic parameters for a bubbling fluidized bed. The kinetic model is represented by an already existing kinetic model that is originally derived for a downdraft gasifier which has quite similar biomass gasification processes as fluidized bed gasifiers. Gas residence time differs between the two gasifier types and the model has thus been calibrated by introducing a time correction factor in order to use it for fluidized bed gasifiers and get optimum results. Two sets of experimental data were used for comparison between the two models. The models were compared by comparing the results of the predicted gas composition yield and the amount of unreacted carbon after the reactor at various equivalence ratios (ER). The result shows that the model that only considers reaction kinetics yields best agreement with the experimental data that have been used. One reasons as to why the kinetic model gives a better prediction of gas composition is due to the fact that there are higher reactant concentrations available for chemical reactions in the kinetic, in comparison to the combined model. Less reactant concentrations in the combined model is a result of the bed in the combined model consisting of two phases, according to the two-phase theory of fluidization that have been adapted. Both phases contain gases but the bubble phase is considered solid free, chemical reactions occur therefore only in the emulsion phase since the kinetic model is based on gas-solid reactions. The model that only contains reaction kinetics considers only one phase and all concentrations are available for chemical reactions. Higher char conversion is thus achieved in the model that only contains reaction kinetics and higher gas concentrations are produced.

Fluidized beds have been applied in many industrial processes (e.g. coal combustion, gasification and granulation) as an effective means for providing excellent gas and solids contact and mixing, as well as good heat transfer. Although research on the fluidized bed has been carried out for more than 70 years, uncertainties and difficulties still remain. These challenges exist primarily due to the complex and dynamic flow structure within fluidized beds and the lack of reliable measurement techniques. The positron emission particle tracking (PEPT) technique, developed at the University of Birmingham, enables individual particles to be tracked non-invasively in opaque three-dimensional (3-D) fluidized beds and offers favourable temporal and spatial resolutions. PEPT is considered to be a powerful tool for fluidized bed studies and was utilized in the current study to investigate the dynamic behaviour of solid and gas in fluidized beds. The experiments in this study were conducted in a 150-mm inner diameter (I.D.) column and operated in the bubbling fluidization regime at ambient conditions. The effects of various factors on the solid flow structure were examined: solid properties, superficial gas velocity, bed height-to-diameter aspect ratio (H/D) and pore size of the air distributor. The solid flow structure was classified into four patterns, namely patterns A, B, C and D, in which pattern C was newly observed in this thesis. The solid motion, bubble behaviour (i.e., bubble spatial distribution, bubble size and bubble rise velocity) and solid mixing were assessed for each flow pattern to understand their unique fluidization behaviours. This assessment was achieved by the development of three methods: a method to reconstruct bubble behaviours based on solid motion, and two methods for estimating the solid mixing profile in this thesis. The results were discussed and compared with the published literature. The bubble rise velocity and bubble size calculated in this research from the PEPT-measured data was in agreement with other research, particularly that of Kunii and Levenspiel, Yasui and Johanson, and Mori and Wen. Finally, a parameter was developed to predict and control flow patterns based on particle kinetic energy and various factors. The outcomes of this study advance the understanding of the complicated dynamics of bubbling fluidized beds and may benefit several industries in the enhancement of fluidized bed design and control to achieve desirable qualities and efficiencies.