Computational Evaluation of Blending Ratio on the Fluidised BED Gasification System-CFD Versus Test

The objective of this work was to assess the combined effects of the Corn Stalk, wheat and coconut shell in a fluidized gasification process, where the focus was to quantify the relationships between the response variables and vital operating factors. With a view to the shortcomings of the classical “one factor-at-a-time” method in identification of the effect of experimental factors and their interactions, a statistical design of the experiment based on response surface methodology (RSM) was used. The response variables used in this work were gasification efficiency, tar yield and carbon conversion with different bed materials such as silica and limestone. Using RSM, the effects of individual operating factors and their interactions were categorically determined, which were not otherwise possible by the classical design of experiment methodology. Using the resultant response variable correlations, gas efficiencies were optimized as a function of the different blending ratios and bed materials using respectively. In order to validate the optimized parameters, a comprehensive threedimensional numerical model is developed to simulate gasification in a fluidized bed reactor using Eulerian–Lagrangian approach. The model predicts product gas efficiency and carbon conversion efficiency in good agreement with experimental data. The formation and development of flow regimes and distributions of gas compositions inside the reactor are also discussed