CAJ | 학술논문

用几种生物质原料进行了水蒸汽流化条件下的常压气化实验。为得到各种生物质的气化特性，用混合神经网络模型对气化过程进行了模拟。模型得到的气化产率与实验数据吻合得较好。神经网络给出的气化特性能正确地反映实际的生物质气化过程。模拟结果还显示，草本生物质和木本生物质在气化过程中，各种煤气成分的释放有不同的规律。
용궤충생물질원료진행료수증기류화조건하적상압기화실험。위득도각충생물질적기화특성，용혼합신경망락모형대기화과정진행료모의。모형득도적기화산솔여실험수거문합득교호。신경망락급출적기화특성능정학지반영실제적생물질기화과정。모의결과환현시，초본생물질화목본생물질재기화과정중，각충매기성분적석방유불동적규률。
Gasification experiments of several types of biomass wereconducted in an atmospheric steam fluidized bed gasifier,w hich biomass samples were fed into continuously and without residue discharge.In order to obtain the gasification profiles for each type of biomass,an artificia l neural network model has been developed to simulate the gasification process.M odel-predicted gas production rates for the biomass gasification processes are in good agreement with the experimental data,thereby the gasification profiles g iven by the neural network model are considered to properly reflect the real gas ification process of a biomass.Gasification profiles identified by neural networ k model suggest that gasification behavior of arboreal types of biomass is signi ficantly different from that of herbaceous ones.