Closed-loop control framework for optimal startup of cryogenic air separation units

IF 3.9 2区计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS

Journal of Process Control Pub Date : 2025-08-22 DOI:10.1016/j.jprocont.2025.103525

Anthony W.K. Quarshie , Jose Matias , Christopher L.E. Swartz , Yanan Cao , Yajun Wang , Jesus Flores-Cerrillo

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引用次数: 0

Abstract

Current volatile electricity market conditions incentivize the adaptation of the operation, including the startup, of cryogenic air separation units (ASUs) which are large consumers of electricity. Improvement in ASU startups using earlier proposed open-loop control strategies may not be fully realized in the presence of uncertainties and disturbances. This paper assesses the potential benefit of using a proposed closed-loop control framework to address uncertainty and disturbances. A rolling-horizon economic nonlinear model predictive control (ENMPC) approach is considered, for which strategies are proposed to improve computation time. Online parameter estimation is performed using a computationally efficient method that is easy to implement. Through the case studies presented, it is shown that the proposed framework outperforms the use of offline pre-computed optimal inputs in response to the disturbance and uncertainty considered.

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低温空分机组优化启动的闭环控制框架

当前波动的电力市场条件激励了操作的适应性，包括启动低温空分装置（ASUs），这是电力的大户。在存在不确定性和干扰的情况下，使用先前提出的开环控制策略改进ASU启动可能无法完全实现。本文评估了使用所提出的闭环控制框架来解决不确定性和干扰的潜在好处。研究了一种滚动水平经济非线性模型预测控制方法，并提出了缩短计算时间的策略。在线参数估计采用了一种计算效率高、易于实现的方法。通过给出的案例研究表明，所提出的框架在响应所考虑的干扰和不确定性方面优于使用离线预先计算的最优输入。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Process Control 工程技术-工程：化工

CiteScore

7.00

自引率

11.90%

发文量

159

审稿时长

74 days

期刊介绍： This international journal covers the application of control theory, operations research, computer science and engineering principles to the solution of process control problems. In addition to the traditional chemical processing and manufacturing applications, the scope of process control problems involves a wide range of applications that includes energy processes, nano-technology, systems biology, bio-medical engineering, pharmaceutical processing technology, energy storage and conversion, smart grid, and data analytics among others. Papers on the theory in these areas will also be accepted provided the theoretical contribution is aimed at the application and the development of process control techniques. Topics covered include: • Control applications• Process monitoring• Plant-wide control• Process control systems• Control techniques and algorithms• Process modelling and simulation• Design methods Advanced design methods exclude well established and widely studied traditional design techniques such as PID tuning and its many variants. Applications in fields such as control of automotive engines, machinery and robotics are not deemed suitable unless a clear motivation for the relevance to process control is provided.