首页> 外文期刊>The Canadian Journal of Chemical Engineering >Detection of decomposition for high pressure ethylene/vinyl acetate copolymerization in autoclave reactor using principal component analysis on heat balance model
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Detection of decomposition for high pressure ethylene/vinyl acetate copolymerization in autoclave reactor using principal component analysis on heat balance model

机译:基于热平衡模型的主成分分析检测高压釜反应器中高压乙烯/乙酸乙烯酯共聚分解反应

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An autoclave reactor offers flexibility in producing specialty grades of ethylene/vinyl acetate copolymer at a temperature range of 150-230 degrees C and pressure range of 1400-2000kg/cm(2). At such conditions, copolymerization is accompanied by decomposition of reactants which increases the risk of thermal runaway. The runaway reaction is initiated by local hot spots in the reactor which are generated by process/equipment disturbances or imperfect mixing in the reactor. It is hard to predict decomposition, due to the extremely fast dynamics of the event. A decomposition detection method was developed based on the overall energy balance around the reactor. During normal steady state operations, the heat balance error should be within reasonable limits. If abnormal conditions generate excess heat in the reactor, the heat balance error will exceed the limit, indicating the possibility of an impending decomposition. Principal component analysis (PCA) was used for model identification and to get the unknown parameters in the model. An iterative PCA technique was used to confirm the selection of the model. Long term plant operation data over a period of six months were used for training and testing of the model. Data validation rules were applied and false alarms associated with operating condition fluctuations were minimized by applying appropriate equations for conversion at various operating conditions. The model was validated with an actual plant steady state decomposition case where the model could predict decomposition with a few seconds of lead time.
机译:高压釜反应器可灵活地在150-230摄氏度的温度范围和1400-2000kg / cm2的压力范围内生产特种等级的乙烯/乙酸乙烯酯共聚物。在这种条件下,共聚伴随着反应物的分解,这增加了热失控的风险。失控反应是​​由反应器中的局部热点引发的,该局部热点是由工艺/设备扰动或反应器中混合不完善而产生的。由于事件的动态非常快,因此很难预测分解。根据反应堆周围的总能量平衡,开发了一种分解检测方法。在正常的稳态操作期间,热平衡误差应在合理的范围内。如果异常条件在反应堆中产生过多的热量,则热平衡误差将超过极限,表明可能发生分解。主成分分析(PCA)用于模型识别并获得模型中的未知参数。迭代PCA技术用于确认模型的选择。使用六个月期间的长期工厂运行数据来训练和测试该模型。应用了数据验证规则,并通过应用适当的方程式在各种工况下进行转换,将与工况波动相关的误报降至最低。该模型已通过实际的工厂稳态分解案例进行了验证,在该案例中,该模型可以预测交货时间为几秒钟的分解。

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