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Optimal Control Framework for Alkane Separation in Semicontinuous Distillation
Industrial & Engineering Chemistry Research ( IF 3.8 ) Pub Date : 2023-09-27 , DOI: 10.1021/acs.iecr.3c02020
Qingping Qu 1 , Xiaodong Zhang 1 , Ziwei Shen 1 , Meili Chen 1 , Daoyan Liu 1 , Jinsheng Sun 1
Affiliation  

Semicontinuous distillation (SCD) is a process intensification technique for separating N-component (N ≥ 3) mixtures. Its feature is forced circulation in three distinct operation modes: separating, discharging, and charging. To explore better control methods, a cascade model predictive control (MPC) strategy is proposed with a proportional-integral (PI) control loop, utilizing a multiple-input multiple-output transfer function (MIMOTF) matrix as the MPC prediction model. The MIMOTF matrix precisely represents the system’s dynamic behavior across the complete cycle. This method proves to be highly effective in controlling the entire SCD process while successfully meeting both product purity requirements and hydraulic constraints. A simulative economic comparison is conducted to assess the applicability of semicontinuous and conventional continuous systems in terms of the annual yield. The superiority of the cascade MPC strategy is demonstrated with remarkable reductions of 9.1% in separation cost (SC) and 8.9% in cycle time compared to the PI-only configuration.

中文翻译:

半连续精馏烷烃分离的优化控制框架

半连续蒸馏(SCD)是一种用于分离 N 组分(N ≥ 3)混合物的过程强化技术。其特点是强制循环,具有分离、卸料、充电三种不同的运行模式。为了探索更好的控制方法,提出了一种带有比例积分(PI)控制环的级联模型预测控制(MPC)策略,利用多输入多输出传递函数(MIMOTF)矩阵作为MPC预测模型。MIMOTF 矩阵精确地表示了系统在整个周期内的动态行为。事实证明,该方法在控制整个 SCD 过程方面非常有效,同时成功满足产品纯度要求和水力约束。通过模拟经济比较来评估半连续系统和传统连续系统在年产量方面的适用性。与仅 PI 配置相比,级联 MPC 策略的优越性表现在分离成本 (SC) 显着降低 9.1%,周期时间显着降低 8.9%。
更新日期:2023-09-27
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