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作 者:王毅哲[1] 王禹程[1] WANG Yizhe;WANG Yucheng(Shaanxi Polytechnic Institute,Xianyang 712000,China)
出 处:《造纸科学与技术》2024年第4期42-44,共3页Paper Science & Technology
基 金:陕西省科技厅基金课题(2021GY-213)。
摘 要:为实现针对造纸机干燥部排风系统的节能优化,降低造纸企业的生产经营成本,收集了某造纸企业提供的干燥部信息管理系统数据并建立了服务于排风系统节能优化的弹性网络模型。通过该模型对干燥部排风系统内各个排风机的排风温湿度进行预测,发现弹性网络模型对排风机排风温湿度的预测效果显著优于支持向量回归模型。因此,基于弹性网络的节能优化模型应用于110 g/m^(2)红杉纸、90 g/m^(2)挂面箱板纸、120 g/m^(2)挂面箱板纸等3条产品线的排风系统参数调节工作中。根据生产应用结果发现,3条纸张产品生产线经过参数调节后的吨绝干纸干燥成本依次下降了0.72%、0.68%、1.07%,体现出了较为理想的节能优化效果。In order to realize the energy-saving optimization of the exhaust system of the dryer section of the paper machine,and reduce the production and operation costs of papermaking enterprises.In this study,the data of the dryer section information management system provided by a papermaking enterprise were collected and the elastic network model was established to serve the energy-saving optimization of the exhaust air system,through which the exhaust air temperature and humidity of each exhaust fan in the dryer exhaust air system were predicted,and it was found that the prediction effect of the elastic network model on the exhaust air temperature and humidity of the exhaust fan was significantly better than that of the support vector regression model.Therefore,the energy-saving optimization model based on elastic network was applied to the exhaust system parameter adjustment of three product lines:110 g/m^(2) sequoia paper,90 g/m^(2) l inerboard paper,a nd 120 g/m^(2) linerboard.According to the results of production and application,it is found that the drying cost per ton of dry paper in the three paper product production lines decreased by 0.72%,0.68%and 1.07%respectively,reflecting the ideal energy-saving optimization effect.
分 类 号:TS734[轻工技术与工程—制浆造纸工程]
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