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机构地区:[1]西华师范大学应用化学研究所,四川南充637002 [2]四川宏泰生化有限公司,四川南充637100
出 处:《计算机与应用化学》2011年第8期1030-1034,共5页Computers and Applied Chemistry
基 金:四川省科技成果转化资金项目(2008CO0008)
摘 要:以氨净值为响应值,影响响应值的17个过程参数为变量,经逐步回归选入触媒温度左3,触媒温度左4,循环CH_4%,H/N,NH_3%(进口)5个过程参数建立预测方程,并根据该方程对响应值的拟合结果和误差分布对样本进行分类。在此基础上,采取图形显示技术和统计分析的方法对分类样本集的过程参数进行比对分析,由此获取优类信息制订优化的工艺参数方案,经仿真验证后用于指导合成氨装置的生产试验。试验结果与试验前的对照期比较,氨净值均值由13.86提高到14.54,吨氨气耗减少15.9887m^3,吨氨电耗减少15.8kWh。A prediction equation of ammonia plant production was set up about the relationship between the response value(net value of ammonia) and the five variables selected from the main factors by stepwise regression.The selected variables in the equations were included left temperature of catalyst 3,left temperature of catalyst 4,CH_4%of recycle gas,H/N(hydrogen-nitrogen ratio) and NH_3%inlet.According to the calculated results and error distribution of the equation,samples were classified.On this basis,attempting to get information from the superior samples,process parameters of the classified samples were compared and analyzed by the computer graphics.To guide production test,the optimization process parameters scheme was established and validated by the simulation.Compared with the pre-test the results had shown that the average net value of ammonia increased from 13.86 to 14.54 and steam consumption and power consumption per ton of ammonia decreased by 15.988~7m3,15.8 kWh,respectively. It is energy saving and has an obvious benefit.
分 类 号:TQ113.2[化学工程—无机化工] TP391.9[自动化与计算机技术—计算机应用技术]
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