Dynamic Modeling and Control of a Simulated Carbon Capture Process for Sustainable Power-to-X

被引:6
|
作者
Mostafa, Mahmoud [1 ,2 ]
Varela, Christopher [1 ,2 ,3 ]
Franke, Meik B. [2 ]
Zondervan, Edwin [2 ]
机构
[1] Univ Bremen, Lab Proc Syst Engn, Leobener Str 6, D-28359 Bremen, Germany
[2] Twente Univ, Dept Chem Engn, NL-7522 NB Enschede, Netherlands
[3] Escuela Super Politecn Litoral ESPOL, Fac Ciencias Nat & Matemat, Campus Gustavo Galindo Km 30-5 Via Perimetral, Guayaquil, Ecuador
来源
APPLIED SCIENCES-BASEL | 2021年 / 11卷 / 20期
关键词
Carbon-Capture; amine; dynamic model; renewables; simulation; Aspen Plus(R); CO2; CAPTURE; FLEXIBLE OPERATION; CONTROL STRATEGIES; ABSORPTION; PLANT; ABSORBER; COLUMN;
D O I
10.3390/app11209574
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
The goal of this study is to develop a dynamic model for a Carbon Capture (CC) process that can be integrated with a water electrolysis facility. The possibility of operating the post-combustion CC plant dynamically is investigated. The final model successfully tracks the parallel hydrogen production, providing the stoichiometric required CO2 stream for the subsequent methanol reactor. A dynamic model is used to configure controllers and to test the unit performance and stream conditions for various set points. Through the transient operation, the required feed gas is provided while optimizing the solvent and energy requirements. It is found that the slowest acting stage is the reboiler with a time constant of 3.8 h. Other process variables stabilize much quicker, requiring only a few minutes to reach steady-state conditions. The hydrogen-tracking scenario shows that the carbon capture plant can successfully operate under varying conditions with a maximum CO2 output increase of 7% of the minimum flowrate in the representative 24 h simulation time. The output CO2 stream is maintained at the desired > 98% purity, 25 degrees C temperature, and 1.85 bar pressure, which allows to successfully perform hydrogen tracking operations.
引用
收藏
页数:30
相关论文
共 50 条
  • [41] Carbon Carriers Driving the Net-Zero Future: The Role of Torrefied Biomass Pellets in Power-To-X
    Kyriakarakos, George
    Lindeque, Colin
    Shafudah, Natangue
    Balafoutis, Athanasios T.
    SUSTAINABILITY, 2024, 16 (21)
  • [42] Modeling and Control Problems in Sustainable Transportation and Power Systems
    Hu, Xiaosong
    Li, Shengbo Eben
    Kum, Dongsuk
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2016, 2016
  • [43] DYNAMIC MODELING FOR PROCESS-CONTROL AND OPERABILITY
    LONGWELL, EJ
    ISA TRANSACTIONS, 1994, 33 (01) : 3 - 10
  • [44] DYNAMIC PLS MODELING FOR PROCESS-CONTROL
    KASPAR, MH
    RAY, WH
    CHEMICAL ENGINEERING SCIENCE, 1993, 48 (20) : 3447 - 3461
  • [45] DYNAMIC MODELING AND CONTROL OF VACUUM CIRCULATION PROCESS
    KLEIMT, B
    KOHLE, S
    PONTEN, HJ
    MATISSIK, W
    SCHEWE, D
    IRONMAKING & STEELMAKING, 1993, 20 (05) : 390 - 395
  • [46] Study of dynamic modeling for Parex process with simulated moving-bed
    Huadong Ligong Daxue Xuebao /Journal of East China University of Science and Technology, 23 (06): : 725 - 730
  • [47] An investigation on the solvent based carbon capture and storage system by process modeling and comparisons with another carbon control methods for different ships
    Guler, Engin
    Ergin, Selma
    INTERNATIONAL JOURNAL OF GREENHOUSE GAS CONTROL, 2021, 110
  • [48] Dynamic Modeling and Analysis of Amine-based Carbon Capture Systems
    Jung, Howoun
    Im, Dasom
    Kim, Sun Hyung
    Lee, Jay. H.
    IFAC PAPERSONLINE, 2018, 51 (18): : 91 - 96
  • [49] Comprehensive analysis of renewable energy integration in decarbonised mobility: Leveraging power-to-X storage with biogenic carbon sources
    Madi, Hossein
    Schildhauer, Tilman
    Moioli, Emanuele
    ENERGY CONVERSION AND MANAGEMENT, 2024, 321
  • [50] Dynamic model and control system of carbon dioxide capture process in fluidized bed using computational fluid dynamics
    Tirapanichayakul, Chonnikan
    Chalermsinsuwan, Benjapon
    Piumsomboon, Pornpote
    ENERGY REPORTS, 2020, 6 : 52 - 59