Operation Parameters Optimization of Butadiene Extraction Distillation Based On Neural Network
In this paper,based on the material balance,we used Aspen plus software to make sensitivity analysis of separation performance of the key component and the operational parameters. We quantitatively analyze the influence between the component parameters and the process. At last,we used the neural network to forecast the solvent ratio on diffident C4feed and calculated the optimization solvent. At the end of the paper,we used the actual production data to test the validity of the model. On the view of reducing the energy consumption and ensuring the product quality,the research result told us that solvent ratio could be reduced nearly one percentage point.
Neural Network Butadiene 2 Extractive Distillation3 Optimization4 Solvent ratio Reflux ratio4
Fengqin Chen Jianguo Zheng
Glorious Sun School of Business and Management,Donghua University,Shanghai 200051,China
国际会议
南宁
英文
68-71
2010-12-10（万方平台首次上网日期，不代表论文的发表时间）