Economic Model Predictive Control for Cryogenic Air Separation Unit Startup

作者：Anthony W.K. Quarshie, José Matias, Christopher L.E. Swartz · 发表于：IFAC-PapersOnLine · 年份：2024 · DOI：10.1016/j.ifacol.2024.08.429 · 被引用次数：1 · 研究领域：Spacecraft and Cryogenic Technologies、Rocket and propulsion systems research、Advanced Thermodynamic Systems and Engines

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.