Economic Model Predictive Control for Cryogenic Air Separation Unit Startup

被引：0

作者：

Quarshie, Anthony W. K. ^{[1
]}

Matias, Jose ^{[1
]}

Swartz, Christopher L. E. ^{[1
]}

机构：

[1] McMaster Univ, Dept Chem Engn, 1280 Main St West, Hamilton, ON L8S 4L7, Canada

来源：

IFAC PAPERSONLINE | 2024年 / 58卷 / 14期

基金：

加拿大自然科学与工程研究理事会;

关键词：

Disturbance rejection; optimization-based control; discontinuity; smoothing; DYNAMIC OPERATION; AGILITY; PLANT;

D O I：

10.1016/j.ifacol.2024.08.429

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Current energy market trends incentivize frequent optimal load changes, including the startup of cryogenic air separation units (ASUs), which are large electricity consumers. In this study, we assess the potential benefits of using an economic nonlinear model predictive control (ENMPC) framework for the optimal startup of ASUs in the presence of a measured process disturbance. We also considered strategies for improving the solution computational speed of the ENMPC problem. Our case study shows substantial profit recovery by the control strategy relative to offline pre-computed optimal inputs in response to the disturbance. Copyright (c) 2024 The Authors.

引用

页码：761 / 766

页数：6

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