Economic Model Predictive Control for Post-Combustion CO 2 Capture System Based on MEA

Chenbin Ma, Wenzhao Zhang, Yu Zheng and Aimin An
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Chenbin Ma: College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, China
Wenzhao Zhang: College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, China
Yu Zheng: College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, China
Aimin An: College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, China

Energies, 2021, vol. 14, issue 23, 1-15

Abstract: For the post-combustion CO 2 capture (PCC) system, the time variability of the economic performance is key to the production process of such an actual industrial process. However, the performance index used by the conventional model predictive control (MPC) does not reflect the economy of the production process, so the economic cost function is used instead of the traditional performance index to measure the economy of the production process. In this paper, a complete dynamic model of the PCC system is constructed in Aspen Plus Dynamics. The effectiveness of the model is verified by dynamic testing; subspace identification is carried out using experimental data, a state-space equation between flue gas flow and lean solvent flow; the CO 2 capture rate is obtained; and dynamic models and control algorithm models of accused objects are established in Matlab/Simulink. Under the background of the environmental protection policy, an economic model predictive control (EMPC) strategy is proposed to manipulate the PCC system through seeking the optimal function of the economic performance, and the system is guaranteed to operate under the economic optimal and excellent quality of the MPC control strategy. The simulation results verify the effectiveness of the proposed method.

Keywords: post-combustion CO 2 capture system; economic model predictive control; economic performance indicators; Aspen Plus Dynamics; subspace identification (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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