Dynamic Modeling and Nonlinear Model Predictive Control of a Moving Bed Chemical Looping Combustion Reactor

被引:8
作者
Parker, Robert B. [1 ]
Biegler, Lorenz T. [1 ]
机构
[1] Carnegie Mellon Univ, Pittsburgh, PA 15232 USA
来源
IFAC PAPERSONLINE | 2022年 / 55卷 / 07期
关键词
Modeling; Optimization; Nonlinear control; Reactor control; Partial differential equations; OPTIMIZATION;
D O I
10.1016/j.ifacol.2022.07.476
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A partial differential-algebraic equation (PDAE) model of a dynamic moving bed chemical looping combustion reduction reactor is developed in the IDAES process modeling framework for nonlinear model predictive control (NMPC). Numerical stability of the PDAE discretization and the index-1 property of the DAE are validated. An NMPC case study is performed, which manipulates inlet flow rates to control the system to a steady-state setpoint over approximately 6,000 s of simulated time, while respecting a lower bound on outlet oxygen carrier conversion. The dynamic optimization problems are solved for each NMPC cycle with an average of 39 CPUs, indicating that this model has the potential for use in a real-time scenario. Copyright (c) 2022 The Authors. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/)
引用
收藏
页码:400 / 405
页数:6
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