热力发电Issue(2)：90-95,6.DOI:10.3969/j.issn.1002﹣3364.2015.02.090
基于 GA﹣BP 对锥形布风板双流化床颗粒循环流率的预测研究
GA﹣BP algorithm based prediction of solids circulation rate in a dual fluidized bed with conical gas distributor
摘要
Abstract
In order to control solids circulation rate in dual fluidized bed with conical gas distributor proper﹣ly,a cold test bench was built up to investigate the influence of several parameters on solids circulation rate.The results show that,the solids circulation rate increased with the gas velocities (to the gasification chamber or the riser)and bed material weight,while decreases with the increasing particle size.It grew with the angle of the conical gas distributor.The GA﹣BP neural network model was established to predict the circulation rate,and the maximum relative error and mean square error were defined to evaluate the models.By comparison,the optimal parameters of the model were found.The maximum relative error is only 0.108 7 and the mean square error is 0.002.关键词
颗粒循环流率/双流化床/锥形布风板/GA﹣BP/预测Key words
solids circulation rate/dual fluidized bed/conical gas distributor/GA﹣BP/prediction分类
能源科技引用本文复制引用
陈鸿伟,吴晶,何骏鹏,李岩..基于 GA﹣BP 对锥形布风板双流化床颗粒循环流率的预测研究[J].热力发电,2015,(2):90-95,6.基金项目
国家自然科学基金项目(50876030) （50876030）
高校博士点基金项目(20090036110008) （20090036110008）
