(448am) Steam-Blown Biomass Gasification in Fluidized Beds:Gas-Flow Distribution for Advanced Reactor Network Models
AIChE Annual Meeting
Tuesday, November 15, 2016 - 6:00pm to 8:00pm
In this study, reactive 3D CFD simulations are conducted for steam-blown biomass gasification in bubbling fluidized beds of varying diameters and pressures. The hydrodynamics are coupled with a global devolatalization mechanism for biomass conversion , while the steady state char concentration is predicted using a detailed char particle gasification and combustion model . The physical model and numerical tool were developed and validated in previous studies , while 3D Bubble statistics are computed using MS3DATA (Multiphase Statistics using 3D Detection and Tracking Algorithm) . Simulation data is analyzed and the distribution of both the oxidant and devolatalized gases, and their residence times, are computed. Accurate description of the gas-flow is critical for large-scale reactor design since quantifying the gas distribution can determine the fuel rich zones (in the emulsion) as well as the oxidant bypass through the bubbles (through-flow) leading to inefficient performance, and the formation of recalcitrant tar compounds. Additionally, insights from this study will be valuable for reactor network modeling of fuel conversion systems .
 A.K. Stark, C. Altantzis, R.B. Bates and A.F. Ghoniem, Towards an advanced reactor network modeling framework for fluidized bed biomass gasification: Incorporating information from detailedÂ CFD simulations. Chemical Engineering Journal. 303: 409-424, 2016.
 R. Bates, C. Altantzis, and A.F. Ghoniem, Modeling of Biomass Char Gasification, Combustion, andÂ Attrition Kinetics in Fluidized Beds. Energy Fuels 30(1):360â??376, 2016
 A. Bakshi, C. Altantzis, R.B. Bates and A.F. Ghoniem, Study of the effect of reactor scale onÂ fluidization hydrodynamics using fine-grid CFD simulations based on the two-fluid model, PowderÂ Technology, 299: 185-198, 2016
 A. Bakshi, C. Altantzis, R.B. Bates and A.F. Ghoniem, Multiphase-flow Statistics using 3DÂ Detection and Tracking Algorithm (MS3DATA): Methodology and application to large-scaleÂ fluidized beds. Chemical Engineering Journal, 293: 355-364, 2016