摘要
使用灰色关联分析,发现气化温度、物料特性(主要是挥发分和固定碳)和气化剂流量是影响有机固体废弃物气化产气组成和可燃气含量的主要因素,给出了影响因素对参考因素影响程度。采用3层改进BP神经网络建立了废弃物气化产气组分含量和产气热值的预测模型,模型预测与实测结果的最大相对误差分别为11%和2.8%,证明网络的预测效果较好。
The grey relationship knowledge has been used in the study, it is discovered that the main factors affecting the produced gas composition and combustible gas content from organic solid waste gasification are the gasification temperature, the materials＇ property （mostly means volatile matter and fixed carbon）, and the flow rate of oxidant, the affecting degree of said factors upon reference fae tors being given. A prediction model for composition content and calorific value of the produced gas has been established by using three - layer perfection of the BP neural network. The maximal relative error between model prediction and the measured result is 11% and 2.0% respectively,proving that the prediction effect of the said network is better.
出处
《热力发电》
CAS
北大核心
2008年第5期16-20,共5页
Thermal Power Generation
基金
国家自然科学基金资助项目(50606028)
辽宁省教育厅计划资助项目(05L323)
学院自选课题(200614Y)
