Dynamic Data Reconciliation and Model Validation of a MEA-Based CO2 Capture System using Pilot Plant Data

被引:9
作者
Chinen, Anderson S. [1 ]
Morgan, Joshua C. [1 ]
Omell, Benjamin P. [1 ]
Bhattacharyya, Debangsu [1 ]
Miller, David C. [2 ]
机构
[1] West Virginia Univ, Dept Chem Engn, Morgantown, WV 26506 USA
[2] Natl Energy Technol Lab, 626 Cochrans Mill Rd, Pittsburgh, PA 15236 USA
来源
IFAC PAPERSONLINE | 2016年 / 49卷 / 07期
关键词
Dynamic modeling; validation; dynamic data reconciliation; MEA solvent modeling; CO2; capture; VAPOR-LIQUID-EQUILIBRIA; 30-MASS-PERCENT MONOETHANOLAMINE; AQUEOUS MONOETHANOLAMINE; CARBON-DIOXIDE; SOLUBILITY; METHYLDIETHANOLAMINE;
D O I
10.1016/j.ifacol.2016.07.244
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This work focuses on development of a "gold standard" process model for a MEA-based post-combustion CO2 capture process. The steady-state model includes a comprehensive thermodynamic framework in conjunction with the chemistry model. Parameters for all thermodynamic, transport,and physical properties models are regressed using extensive data available in the literature. An integrated mass transfer model is developed and validated using experimental data. The steady-state model is validated using data collected from the U.S. DOE's National Carbon Capture Center (NCCC) in Wilsonville, Alabama. In addition to the steady-state runs, dynamic test mns were conducted at NCCC by introducing carefully-designed step changes and recording the transients of all key variables. Due to measurement noise and missing measurements for a number of key variables, a dynamic data reconciliation problem was solved to ensure material and energy balance of the collected data. Both the steady-state and dynamic models were validated against plant data for a wide range of operating conditions. (C) 2016, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
引用
收藏
页码:639 / 644
页数:6
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