Experimental studies of biomass gasification with air

In this work, experimental studies of biomass gasification under different operating conditions were carried out in an updraft gasifier combined with a copper slag reformer. The influence of gasification temperature, equivalence ratio （ER） and copper slag catalyst addition on gas production and tar yield were investigated. The experimental results showed that the content of H2 and CO, gas yield and LHV increased, while the tar yield and the content of CO2, CH4 and C2Hx in the gas product decreased with the temperature. At 800℃, with the increase of ER, the LHV, the tar yield and the content of H2, CO, CH4 and C2H2 in gas products decreased, while the gas yield and the content of CO2 increased. Copper slag was introduced into the secondary reformer for tar decomposition. The Fe3O4 phase in the fresh copper slag was reduced to FeO （Fe^2＋） and metallic Fe by the gas product. Fe species （FeO and metallic Fe） acted as the active sites for tar catalytic decomposition. The catalytic temperature had a significant influence on tar conversion and the composition of the gas product. Typically, the tar conversion of about 17%-54% could be achieved when the catalytic temperature was varied from 750 to 950 ℃. Also, the content of H2 and CO increased with the catalytic temperature, while that of CO2, CH4 and C2Hx in the gas product decreased. It was demonstrated that copper slag was a good catalyst for upgrading the gas product from biomass gasification.

An optimal method for prediction and adjustment on gasholder level and self-provided power plant gas supply in steel works

An optimal method for prediction and adjustment on byproduct gasholder level and self-provided power plant gas supply was proposed.This work raises the HP-ENN-LSSVM model based on the Hodrick-Prescott filter,Elman neural network and least squares support vector machines.Then,according to the prediction,the optimal adjustment process came up by a novel reasoning method to sustain the gasholder within safety zone and the self-provided power plant boilers in economic operation,and prevent unfavorable byproduct gas emission and equipment trip as well.The experiments using the practical production data show that the proposed method achieves high accurate predictions and the optimal byproduct gas distribution,which provides a remarkable guidance for reasonable scheduling of byproduct gas.