Dynamic Modeling and Sensitivity Analysis for an MEA-Based CO2 Capture Absorber

被引:1
|
作者
Guan, Hongwei [1 ]
Ye, Lingjian [2 ,3 ]
Wang, Yurun [2 ]
Shen, Feifan [4 ]
He, Yuchen [3 ]
机构
[1] Ningbo Univ Finance & Econ, Ningbo 315175, Peoples R China
[2] Huzhou Univ, Huzhou 313000, Peoples R China
[3] China Jiliang Univ, Key Lab Intelligent Mfg Qual Big Data Tracing & An, Hangzhou 310018, Peoples R China
[4] Ningbotech Univ, Ningbo 315100, Peoples R China
来源
关键词
CO2; capture; dynamic modeling; sensitivity analysis; model validation; MONOETHANOLAMINE PLUS WATER; CARBON-DIOXIDE ABSORPTION; MASS-TRANSFER; UNCERTAINTY QUANTIFICATION; VALIDATION;
D O I
10.32604/iasc.2023.036399
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The absorber is the key unit in the post-combustion monoethanolamine (MEA)-based carbon dioxide (CO2) capture process. A rate-based dynamic model for the absorber is developed and validated using steady-state experimental data reported in open literature. Sensitivity analysis is performed with respect to important model parameters associated with the reaction, mass transport and phy-sical property relationships. Then, a singular value decomposition (SVD)-based subspace parameter estimation method is proposed to improve the model accu-racy. Finally, dynamic simulations are carried out to investigate the effects of the feed rate of lean MEA solution and the flue inlet conditions. Simulation results indicate that the established dynamic model can reasonably reflect the physical behavior of the absorber. Some new insights are gained from the simulation results.
引用
下载
收藏
页码:3535 / 3550
页数:16
相关论文
共 50 条
  • [1] Energy minimization of MEA-based CO2 capture process
    Oh, Se-Young
    Binns, Michael
    Cho, Habin
    Kim, Jin-Kuk
    APPLIED ENERGY, 2016, 169 : 353 - 362
  • [2] Cost and energy sensitivity analysis of absorber design in CO2 capture with MEA
    Razi, Neda
    Svendsen, Hallvard F.
    Bolland, Olav
    INTERNATIONAL JOURNAL OF GREENHOUSE GAS CONTROL, 2013, 19 : 331 - 339
  • [3] MEA-based CO2 capture: a study focuses on MEA concentrations and process parameters
    Wang, Nan
    Wang, Dong
    Krook-Riekkola, Anna
    Ji, Xiaoyan
    FRONTIERS IN ENERGY RESEARCH, 2023, 11
  • [4] Degradation and corrosion inhibitors for MEA-based CO2 capture plants
    Fytianos, Georgios
    Vevelstad, Solrun J.
    Knuutila, Hanna K.
    INTERNATIONAL JOURNAL OF GREENHOUSE GAS CONTROL, 2016, 50 : 240 - 247
  • [5] Simulation and optimization study on aqueous MEA-based CO2 capture process
    Guo L.
    Ding Y.
    Li X.
    Zhu X.
    Liao Q.
    Yuan S.
    Ding, Yudong (dingyudong@cqu.edu.cn), 2018, Italian Association of Chemical Engineering - AIDIC (70): : 751 - 756
  • [6] Corrosion and polarization behavior of carbon steel in MEA-based CO2 capture process
    Soosaiprakasam, Immanuel Raj
    Veawab, Amornuadee
    INTERNATIONAL JOURNAL OF GREENHOUSE GAS CONTROL, 2008, 2 (04) : 553 - 562
  • [7] Dynamic Data Reconciliation and Model Validation of a MEA-Based CO2 Capture System using Pilot Plant Data
    Chinen, Anderson S.
    Morgan, Joshua C.
    Omell, Benjamin P.
    Bhattacharyya, Debangsu
    Miller, David C.
    IFAC PAPERSONLINE, 2016, 49 (07): : 639 - 644
  • [8] On the role of solid particles in CO2 bubble nucleation for solvent regeneration of MEA-based CO2 capture technology
    Liu, Menglong
    Tang, Siyang
    Ma, Kui
    Liu, Changjun
    Yue, Hairong
    Liang, Bin
    GREENHOUSE GASES-SCIENCE AND TECHNOLOGY, 2019, 9 (03): : 553 - 566
  • [9] Performance of rich solvent flashing for MEA-based post-combustion CO2 capture
    Hasnain, Ali
    Ali, Usman
    Imran, Muhammad
    INTERNATIONAL JOURNAL OF GLOBAL WARMING, 2021, 23 (03) : 331 - 354
  • [10] Development of MEA-based CO2 phase change absorbent
    Zhang, Weidong
    Jin, Xianhang
    Tu, Weiwei
    Ma, Qian
    Mao, Menglin
    Cui, Chunhua
    APPLIED ENERGY, 2017, 195 : 316 - 323