Analysis and optimization of key parameters for delayed coking process based on statistical model

被引：0
作者：
机构：
[1] Key Laboratory of Low-Carbon Chemistry & Energy Conservation of Guangdong Province, School of Chemistry and Chemical Engineering, Sun Yat-Sen University, Guangzhou
来源：
Chen, Qinglin | 1600年 / Science Press卷 / 30期
关键词：
Delayed coking; Key parameters; Nonlinear model; Optimization;
D O I：
10.3969/j.issn.1001-8719.2014.06.017
中图分类号：
学科分类号：
摘要：
A convenient method was established based on statistical models for the key parameters optimization of delayed cokers. The polynomial models were obtained by the least square method about energy consumption and product yields, and the operation temperature, pressure and recycle ratio were selected as the optimization variables. Taking the trade-off between energy consumption and material benefit as the objective function, a nonlinear programming model was built and solved by GAMS. Finally, the marginal value analysis was applied to identify the relation and sensitivity of different parameters, which could provide guidance for practical operating optimization. A case study showed that the optimal operating temperature, pressure and recycle ratio were 495.767℃, 0.171 MPa and 0.498, respectively. And compared with the existing state, the optimal model showed that the profit was increased by 6.19×106 RMB/a. ©, 2014, Science Press. All right reserved.
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页码：1072 / 1079
页数：7
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