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Numerical Simulation of Partial Combustion for Biomass Tar Elimination in Two-Stage Gasifier
Institute of Thermal Energy Engineering, Shanghai Jiao Tong University, Shanghai, China
Institute of Thermal Energy Engineering, Shanghai Jiao Tong University, Shanghai, China
Institute of Thermal Energy Engineering, Shanghai Jiao Tong University, Shanghai, China
Institute of Thermal Energy Engineering, Shanghai Jiao Tong University, Shanghai, China
Institute of Thermal Energy Engineering, Shanghai Jiao Tong University, Shanghai, China
Institute of Thermal Energy Engineering, Shanghai Jiao Tong University, Shanghai, China
- 1 Institute of Thermal Energy Engineering, Shanghai Jiao Tong University, Shanghai, China
- 2 Institute of Thermal Energy Engineering, Shanghai Jiao Tong University, Shanghai, China
- 3 Institute of Thermal Energy Engineering, Shanghai Jiao Tong University, Shanghai, China
- 4 Institute of Thermal Energy Engineering, Shanghai Jiao Tong University, Shanghai, China
- 5 Institute of Thermal Energy Engineering, Shanghai Jiao Tong University, Shanghai, China
- 6 Institute of Thermal Energy Engineering, Shanghai Jiao Tong University, Shanghai, China
Journal of Sustainable Bioenergy Systems·Volume 03 (2013)·Pages 86–92·Published 26 March 2013·DOI10.4236/jsbs.2013.31012
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Abstract
Biomass tar is an obstacle in biomass gasification. Partial combustion is a potential method for tar elimination. To better study the tar conversion conditions and design reasonable partial combustion reactor, 2D/3D throat models are establish to calculate the tar reduction during partial combustion using numerical method. Different number of nozzles, injection directions and injection velocities were investigated. SIMPLE algorithm was used in this calculation. The results indicated that the best performance of partial combustion was obtained when ER (equivalent ratio) = 0.34. A performance of 3 nozzles, perpendicular injection and 20 m /s injection velocity could reach lowest tar content of 3.09 wt%.
KeywordsBiomass TarPartial CombustionNumericalER
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