Simulation model evaluation of desorber column in CO2 capture process by MEA scrubbing: A rigorous rate-based model for kinetic model and mass transfer correlations analysis

被引:10
|
作者
Amirkhosrow, Mahsa [1 ]
Lay, Ebrahim Nemati [1 ]
机构
[1] Univ Kashan, Fac Engn, Dept Chem Engn, POB 87317-53153, Kashan, Iran
关键词
Carbon dioxide; Desorber; Monoethanolamine; Rate-based model; Kinetic model; Mass transfer correlation; CARBON-DIOXIDE ABSORPTION; AQUEOUS-SOLUTIONS; REACTIVE ABSORPTION; MONOETHANOLAMINE MEA; PILOT-PLANT; VALIDATION; 2-AMINO-2-METHYL-1-PROPANOL; EQUILIBRIUM; DESORPTION; SOLVENTS;
D O I
10.1016/j.fuproc.2020.106390
中图分类号
O69 [应用化学];
学科分类号
081704 ;
摘要
A rate-based model of desorber column in carbon dioxide capture process by MEA solution was performed using Aspen Plus software. The effect of different reaction kinetics and mass transfer correlations were assessed simultaneously. The results show the higher effect of kinetic model on prediction of the rate-based model of desorber than the mass transfer correlations. The effect of flow model on rate-based modeling of desorber was also studied and a proper flow model was chosen. The axial discretization of desorber column was changed to study the effect of this parameter on prediction of model. The parameters of film discretization were another assessed parameters that showed a negligible impact on prediction of rate-based model of desorber column. The optimum model was validated using several experimental data sets from literature. Results indicated the good performance of optimum model in prediction of temperature and concentration profiles along the desorber column and low errors in prediction of several variables in outlet streams with respect to experimental data.
引用
收藏
页数:21
相关论文
共 50 条
  • [41] Simulation of the Effects of the Solution Lean Loading and the Circulation Rate on the Energy Requirements for Aqueous MEA-based CO2 Capture Process
    梁志武
    那艳清
    李文生
    TONTI WACH WUTHIKUL P T
    湖南大学学报(自然科学版), 2009, (11) : 57 - 61
  • [42] Process assessment and sensitivity analysis of CO2 capture by aqueous methyldiethanolamine plus piperazine blended solutions using membrane contactor: Model development of kinetics and mass transfer rate
    Saidi, Majid
    SEPARATION AND PURIFICATION TECHNOLOGY, 2018, 204 : 185 - 195
  • [43] Model Development, Validation, and Optimization of an MEA-Based Post-Combustion CO2 Capture Process under Part-Load and Variable Capture Operations
    Akula, Paul
    Eslick, John
    Bhattacharyya, Debangsu
    Miller, David C.
    INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2021, 60 (14) : 5176 - 5193
  • [44] A rate based model of a packed column for CO2 absorption using aqueous monoethanolamine solution
    Mores, Patricia
    Scenna, Nicolas
    Mussati, Sergio
    INTERNATIONAL JOURNAL OF GREENHOUSE GAS CONTROL, 2012, 6 : 21 - 36
  • [45] Prediction of species concentration distribution using a rigorous turbulent mass diffusivity model for bubble column reactor simulation part I: Application to chemisorption process of CO2 into NaOH solution
    Zhang, Chao
    Yuan, Xigang
    Luo, Yiqing
    Yu, Guocong
    CHEMICAL ENGINEERING SCIENCE, 2018, 184 : 161 - 171
  • [46] Model-based Process Design of Adsorption Processes for CO2 Capture in the Presence of Moisture
    Hefti, M.
    Marx, D.
    Joss, L.
    Mazzotti, M.
    12TH INTERNATIONAL CONFERENCE ON GREENHOUSE GAS CONTROL TECHNOLOGIES, GHGT-12, 2014, 63 : 2152 - 2159
  • [47] Exploring global uncertainty quantification and sensitivity analysis methodologies: CO2 capture absorber model with MEA solvent as a test case
    Kuncheekanna, Vishalini Nair
    Jakobsen, Jana Poplsteinova
    CHEMICAL ENGINEERING RESEARCH & DESIGN, 2023, 200 : 107 - 133
  • [48] Mass transfer mechanism and model of CO2 absorption into a promising DEEA-HMDA solvent in a packed column
    Quan, Hong
    Shang, Chunliang
    Bai, Liju
    Fan, Zihan
    Dong, Yufan
    Dong, Shoulong
    Moioli, Stefania
    Li, Miyi
    Tontiwachwuthikul, Paitoon
    Liu, Helei
    SEPARATION AND PURIFICATION TECHNOLOGY, 2023, 320
  • [49] 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
  • [50] Systematic study of aqueous monoethanolamine-based CO2 capture process: model development and process improvement
    Li, Kangkang
    Cousins, Ashleigh
    Yu, Hai
    Feron, Paul
    Tade, Moses
    Luo, Weiliang
    Chen, Jian
    ENERGY SCIENCE & ENGINEERING, 2016, 4 (01): : 23 - 39