文献类型：期刊文献

英文题名：Product tri-section based crude distillation unit model for refinery production planning and refinery optimization

作者：Li, Fupei[1,2];Qian, Feng[1];Yang, Minglei[1];Du, Wenli[1];Mahalec, Vladimir[2]

机构：[1]East China Univ Sci & Technol, Key Lab Adv Control & Optimizat Chem Proc, Minist Educ, Shanghai 200237, Peoples R China;[2]McMaster Univ, Dept Chem Engn, Hamilton, ON L8S 4L8, Canada

年份：2021

卷号：67

期号：2

外文期刊名：AICHE JOURNAL

收录：;EI(收录号：20205109639413);WOS:【SCI-EXPANDED(收录号:WOS:000599447000001)】；

基金：Fundamental Research Funds for the Central Universities, Grant/Award Number: 222201917006; International (Regional) Cooperation and Exchange Project, Grant/Award Number: 61720106008; National Natural Science Foundation of China (Basic Science Center Program), Grant/Award Number: 61988101; National Science Fund for Distinguished Young Scholars, Grant/Award Number: 61725301

语种：英文

外文关键词：CDU model; optimization; refinery production planning

摘要：Accuracy of a crude distillation unit (CDU) model has a significant impact on refinery production planning. High accuracy is typically accomplished via nonlinear models which causes convergence difficulties when the entire refinery model is optimized. CDU model presented in this work is a mixed-integer linear model with a modest number of binary variables; its accuracy is on par with rigorous tray to tray CDU models. The model relies on the observation(12) that a line through the middle of the product true boiling point (TBP) curve depends on the crude feed properties and the yields of the adjacent products. Novelty of the product tri-section CDU model is that it does not require models of individual distillation towers comprising the CDU, thereby leading to a much simpler model structure. Significant reduction in the computational effort required for the optimization of nonlinear refinery models is illustrated by comparison with previous work.