IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i18p6817-d918005.html
   My bibliography  Save this article

Rate-Based Modeling and Assessment of an Amine-Based Acid Gas Removal Process through a Comprehensive Solvent Selection Procedure

Author

Listed:
  • Neha Agarwal

    (School of Chemical Engineering, Yeungnam University, Gyeongsan 38541, Korea
    These authors contributed equally to this work.)

  • Le Cao Nhien

    (School of Chemical Engineering, Yeungnam University, Gyeongsan 38541, Korea
    These authors contributed equally to this work.)

  • Moonyong Lee

    (School of Chemical Engineering, Yeungnam University, Gyeongsan 38541, Korea)

Abstract

In this study, an industrial acid gas removal (AGR) process which uses amine-based solvents was designed and simulated. The selection of suitable absorbents is crucial for an effective AGR process. Therefore, various single and blended amine-based solvents for capturing acid gases were evaluated through a comprehensive procedure, including solvent screening and process design steps. First, various solvents were screened for their CO 2 and H 2 S absorption efficiencies. Promising solvents were then selected for the process design step, in which all process alternatives were simulated and rigorously designed using Aspen Plus. The non-equilibrium rate-based method with an electrolyte non-random two-liquid thermodynamic model was employed for modeling the absorption column. All processes were evaluated in terms of energy requirements, costs, and carbon emissions. The results show that a blend of methyldiethanolamine and piperazine solutions are the most promising solvents for the AGR process, as they can save up to 29.1% and 30.3% of the total annual costs and carbon emissions, respectively, compared to the methyldiethanolamine + diethanolamine solvent process.

Suggested Citation

  • Neha Agarwal & Le Cao Nhien & Moonyong Lee, 2022. "Rate-Based Modeling and Assessment of an Amine-Based Acid Gas Removal Process through a Comprehensive Solvent Selection Procedure," Energies, MDPI, vol. 15(18), pages 1-17, September.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:18:p:6817-:d:918005
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/18/6817/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/18/6817/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. El Hadri, Nabil & Quang, Dang Viet & Goetheer, Earl L.V. & Abu Zahra, Mohammad R.M., 2017. "Aqueous amine solution characterization for post-combustion CO2 capture process," Applied Energy, Elsevier, vol. 185(P2), pages 1433-1449.
    2. Fu, Kun & Liu, Chenxu & Wang, Lemeng & Huang, Xiayu & Fu, Dong, 2021. "Performance and mechanism of CO2 absorption in 2-ethylhexan-1-amine + glyme non-aqueous solutions," Energy, Elsevier, vol. 220(C).
    3. Zhao, Bin & Liu, Fangzheng & Cui, Zheng & Liu, Changjun & Yue, Hairong & Tang, Siyang & Liu, Yingying & Lu, Houfang & Liang, Bin, 2017. "Enhancing the energetic efficiency of MDEA/PZ-based CO2 capture technology for a 650MW power plant: Process improvement," Applied Energy, Elsevier, vol. 185(P1), pages 362-375.
    4. Jung, Wonho & Lee, Jinwon, 2022. "Thermodynamic and kinetic modeling of a novel polyamine-based solvent for energy-efficient CO2 capture with energy analysis," Energy, Elsevier, vol. 239(PE).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wang, Tao & Yu, Wei & Le Moullec, Yann & Liu, Fei & Xiong, Yili & He, Hui & Lu, Jiahui & Hsu, Emily & Fang, Mengxiang & Luo, Zhongyang, 2017. "Solvent regeneration by novel direct non-aqueous gas stripping process for post-combustion CO2 capture," Applied Energy, Elsevier, vol. 205(C), pages 23-32.
    2. Pereira, Luís M.C. & Vega, Lourdes F., 2018. "A systematic approach for the thermodynamic modelling of CO2-amine absorption process using molecular-based models," Applied Energy, Elsevier, vol. 232(C), pages 273-291.
    3. Pereira, Luís M.C. & Llovell, Fèlix & Vega, Lourdes F., 2018. "Thermodynamic characterisation of aqueous alkanolamine and amine solutions for acid gas processing by transferable molecular models," Applied Energy, Elsevier, vol. 222(C), pages 687-703.
    4. Qi, Guojie & Liu, Kun & House, Alan & Salmon, Sonja & Ambedkar, Balraj & Frimpong, Reynolds A. & Remias, Joseph E. & Liu, Kunlei, 2018. "Laboratory to bench-scale evaluation of an integrated CO2 capture system using a thermostable carbonic anhydrase promoted K2CO3 solvent with low temperature vacuum stripping," Applied Energy, Elsevier, vol. 209(C), pages 180-189.
    5. Fu, Kun & Zheng, Mingzhen & Fu, Dong, 2023. "Low partial pressure CO2 capture in packed tower by EHA+Diglyme water-lean absorbent," Energy, Elsevier, vol. 266(C).
    6. Yu, Bing & Yu, Hai & Li, Kangkang & Yang, Qi & Zhang, Rui & Li, Lichun & Chen, Zuliang, 2017. "Characterisation and kinetic study of carbon dioxide absorption by an aqueous diamine solution," Applied Energy, Elsevier, vol. 208(C), pages 1308-1317.
    7. Barzagli, Francesco & Giorgi, Claudia & Mani, Fabrizio & Peruzzini, Maurizio, 2018. "Reversible carbon dioxide capture by aqueous and non-aqueous amine-based absorbents: A comparative analysis carried out by 13C NMR spectroscopy," Applied Energy, Elsevier, vol. 220(C), pages 208-219.
    8. Putta, Koteswara Rao & Tobiesen, Finn Andrew & Svendsen, Hallvard F. & Knuutila, Hanna K., 2017. "Applicability of enhancement factor models for CO2 absorption into aqueous MEA solutions," Applied Energy, Elsevier, vol. 206(C), pages 765-783.
    9. Kazemi, Abolghasem & Moreno, Jovita & Iribarren, Diego, 2023. "Economic optimization and comparative environmental assessment of natural gas combined cycle power plants with CO2 capture," Energy, Elsevier, vol. 277(C).
    10. Luo, Xiaobo & Wang, Meihong, 2017. "Study of solvent-based carbon capture for cargo ships through process modelling and simulation," Applied Energy, Elsevier, vol. 195(C), pages 402-413.
    11. Cheng, Chin-hung & Li, Kangkang & Yu, Hai & Jiang, Kaiqi & Chen, Jian & Feron, Paul, 2018. "Amine-based post-combustion CO2 capture mediated by metal ions: Advancement of CO2 desorption using copper ions," Applied Energy, Elsevier, vol. 211(C), pages 1030-1038.
    12. Zhang, Xiaowen & Zhang, Rui & Liu, Helei & Gao, Hongxia & Liang, Zhiwu, 2018. "Evaluating CO2 desorption performance in CO2-loaded aqueous tri-solvent blend amines with and without solid acid catalysts," Applied Energy, Elsevier, vol. 218(C), pages 417-429.
    13. Zhang, Rui & Yang, Qi & Yu, Bing & Yu, Hai & Liang, Zhiwu, 2018. "Toward to efficient CO2 capture solvent design by analyzing the effect of substituent type connected to N-atom," Energy, Elsevier, vol. 144(C), pages 1064-1072.
    14. Vega, F. & Baena-Moreno, F.M. & Gallego Fernández, Luz M. & Portillo, E. & Navarrete, B. & Zhang, Zhien, 2020. "Current status of CO2 chemical absorption research applied to CCS: Towards full deployment at industrial scale," Applied Energy, Elsevier, vol. 260(C).
    15. Muhammad Asif & Muhammad Suleman & Ihtishamul Haq & Syed Asad Jamal, 2018. "Post‐combustion CO2 capture with chemical absorption and hybrid system: current status and challenges," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 8(6), pages 998-1031, December.
    16. Xie, Heping & Liu, Tao & Wang, Yufei & Wu, Yifan & Wang, Fuhuan & Tang, Liang & Jiang, Wen & Liang, Bin, 2017. "Enhancement of electricity generation in CO2 mineralization cell by using sodium sulfate as the reaction medium," Applied Energy, Elsevier, vol. 195(C), pages 991-999.
    17. Yiyang Dai & Yuwei Peng & Yi Qiu & Huimin Liu, 2019. "Techno-Economic Analysis of a Novel Two-Stage Flashing Process for Acid Gas Removal from Natural Gas," Energies, MDPI, vol. 12(21), pages 1-14, November.
    18. Liu, Fei & Fang, Mengxiang & Dong, Wenfeng & Wang, Tao & Xia, Zhixiang & Wang, Qinhui & Luo, Zhongyang, 2019. "Carbon dioxide absorption in aqueous alkanolamine blends for biphasic solvents screening and evaluation," Applied Energy, Elsevier, vol. 233, pages 468-477.
    19. Zhou, Xiaobin & Liu, Chao & Fan, Yinming & Zhang, Lihao & Tang, Shen & Mo, Shengpeng & Zhu, Yinian & Zhu, Zongqiang, 2022. "Energy-efficient carbon dioxide capture using a novel low-viscous secondary amine-based nonaqueous biphasic solvent: Performance, mechanism, and thermodynamics," Energy, Elsevier, vol. 255(C).
    20. Hu, Hangtian & Fang, Mengxiang & Liu, Fei & Wang, Tao & Xia, Zhixiang & Zhang, Wei & Ge, Chunliang & Yuan, Jingjuan, 2022. "Novel alkanolamine-based biphasic solvent for CO2 capture with low energy consumption and phase change mechanism analysis," Applied Energy, Elsevier, vol. 324(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:15:y:2022:i:18:p:6817-:d:918005. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.