IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v339y2023ics0306261923003392.html
   My bibliography  Save this article

High-pressure supersonic carbon dioxide (CO2) separation benefiting carbon capture, utilisation and storage (CCUS) technology

Author

Listed:
  • Ding, Hongbing
  • Zhang, Yu
  • Dong, Yuanyuan
  • Wen, Chuang
  • Yang, Yan

Abstract

Carbon capture, utilisation and storage (CCUS) is of unique significance for building a green and resilient energy system, and it is also a key solution to tackle the climate challenge. The concept of supersonic decarburization, a joint product of non-equilibrium condensation and swirling separation, can contribute to CCUS technology in a clean way. In this paper, a numerical model is established and validated to investigate the complex physical phenomena of supersonic decarbonization in a high-pressure environment based on the real gas equation of state. The model is compatible with the pure CO2 model and CH4-CO2 model. Through the simulation of the supersonic nozzle and supersonic separator, the condensation and separation performance of supersonic decarbonization technology was evaluated. For the condensation performance of carbon dioxide, the results show that higher pressure makes it much easier to achieve the condensation process. When the pressure is supercritical, the decrease of inlet temperature or the increase of inlet mole fraction of CO2 leads to a higher liquid fraction. For separation performance, when the mass concentration of inlet heterogeneous droplets increases from 0.1 kg/m3 to 7.5 kg/m3, the carbon separation amount increases from 3.33 ton/h to 4.43 ton/h, while the exergy loss of condensed CO2 drops from 436.57 kJ/kg to 329.56 kJ/kg. It demonstrates that the decarburization process is easier, and exergy required for condensation decreases when the concentration of the foreign core is larger. This new concept is beneficial to CCUS technology and can be applied to carbon capture in offshore natural gas processing.

Suggested Citation

  • Ding, Hongbing & Zhang, Yu & Dong, Yuanyuan & Wen, Chuang & Yang, Yan, 2023. "High-pressure supersonic carbon dioxide (CO2) separation benefiting carbon capture, utilisation and storage (CCUS) technology," Applied Energy, Elsevier, vol. 339(C).
  • Handle: RePEc:eee:appene:v:339:y:2023:i:c:s0306261923003392
    DOI: 10.1016/j.apenergy.2023.120975
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261923003392
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2023.120975?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Wen, Chuang & Li, Bo & Ding, Hongbing & Akrami, Mohammad & Zhang, Haoran & Yang, Yan, 2022. "Thermodynamics analysis of CO2 condensation in supersonic flows for the potential of clean offshore natural gas processing," Applied Energy, Elsevier, vol. 310(C).
    2. Deng, Qinghua & Jiang, Yu & Hu, Zhifeng & Li, Jun & Feng, Zhenping, 2019. "Condensation and expansion characteristics of water steam and carbon dioxide in a Laval nozzle," Energy, Elsevier, vol. 175(C), pages 694-703.
    3. Zhao, Ruikai & Zhao, Li & Deng, Shuai & Song, Chunfeng & He, Junnan & Shao, Yawei & Li, Shuangjun, 2017. "A comparative study on CO2 capture performance of vacuum-pressure swing adsorption and pressure-temperature swing adsorption based on carbon pump cycle," Energy, Elsevier, vol. 137(C), pages 495-509.
    4. Koronaki, I.P. & Prentza, L. & Papaefthimiou, V., 2015. "Modeling of CO2 capture via chemical absorption processes − An extensive literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 547-566.
    5. Kim, Tae Hong & Cho, Jinhyung & Lee, Kun Sang, 2017. "Evaluation of CO2 injection in shale gas reservoirs with multi-component transport and geomechanical effects," Applied Energy, Elsevier, vol. 190(C), pages 1195-1206.
    6. Haruhiko Yamasaki & Hiroyuki Wakimoto & Takeshi Kamimura & Kazuhiro Hattori & Petter Nekså & Hiroshi Yamaguchi, 2022. "Visualization and Measurement of Swirling Flow of Dry Ice Particles in Cyclone Separator-Sublimator," Energies, MDPI, vol. 15(11), pages 1-17, June.
    7. Le Moullec, Yann, 2013. "Conceptual study of a high efficiency coal-fired power plant with CO2 capture using a supercritical CO2 Brayton cycle," Energy, Elsevier, vol. 49(C), pages 32-46.
    8. Ding, Hongbing & Zhang, Yu & Sun, Chunqian & Yang, Yan & Wen, Chuang, 2022. "Numerical simulation of supersonic condensation flows using Eulerian-Lagrangian and Eulerian wall film models," Energy, Elsevier, vol. 258(C).
    9. Liu, Bin & Liu, Xiong & Lu, Cheng & Godbole, Ajit & Michal, Guillaume & Tieu, Anh Kiet, 2018. "A CFD decompression model for CO2 mixture and the influence of non-equilibrium phase transition," Applied Energy, Elsevier, vol. 227(C), pages 516-524.
    10. Song, Chunfeng & Liu, Qingling & Deng, Shuai & Li, Hailong & Kitamura, Yutaka, 2019. "Cryogenic-based CO2 capture technologies: State-of-the-art developments and current challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 101(C), pages 265-278.
    11. Chu, Fengming & Yang, Lijun & Du, Xiaoze & Yang, Yongping, 2017. "Mass transfer and energy consumption for CO2 absorption by ammonia solution in bubble column," Applied Energy, Elsevier, vol. 190(C), pages 1068-1080.
    12. Wen, Chuang & Karvounis, Nikolas & Walther, Jens Honore & Yan, Yuying & Feng, Yuqing & Yang, Yan, 2019. "An efficient approach to separate CO2 using supersonic flows for carbon capture and storage," Applied Energy, Elsevier, vol. 238(C), pages 311-319.
    13. Karasu, Seçkin & Altan, Aytaç, 2022. "Crude oil time series prediction model based on LSTM network with chaotic Henry gas solubility optimization," Energy, Elsevier, vol. 242(C).
    14. Zhang, Zhien & Cai, Jianchao & Chen, Feng & Li, Hao & Zhang, Wenxiang & Qi, Wenjie, 2018. "Progress in enhancement of CO2 absorption by nanofluids: A mini review of mechanisms and current status," Renewable Energy, Elsevier, vol. 118(C), pages 527-535.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wu, Xiaomei & Mao, Yuanhao & Fan, Huifeng & Sultan, Sayd & Yu, Yunsong & Zhang, Zaoxiao, 2023. "Investigation on the performance of EDA-based blended solvents for electrochemically mediated CO2 capture," Applied Energy, Elsevier, vol. 349(C).
    2. Zhang, Guojie & Yang, Yifan & Chen, Jiaheng & Jin, Zunlong & Majkut, Mirosław & Smołka, Krystian & Dykas, Sławomir, 2023. "Effect of relative humidity on the nozzle performance in non-equilibrium condensing flows for improving the compressed air energy storage technology," Energy, Elsevier, vol. 280(C).
    3. Zhang, Guojie & Wang, Xiaogang & Jin, Zunlong & Dykas, Sławomir & Smołka, Krystian, 2023. "Numerical study of the loss and power prediction based on a modified non-equilibrium condensation model in a 200 MW industrial-scale steam turbine under different operation conditions," Energy, Elsevier, vol. 275(C).
    4. Ding, Hongbing & Dong, Yuanyuan & Zhang, Yu & Yang, Yan & Wen, Chuang, 2023. "Energy efficiency assessment of hydrogen recirculation ejectors for proton exchange membrane fuel cell (PEMFC) system," Applied Energy, Elsevier, vol. 346(C).
    5. Wang, Shiwei & Wang, Chao & Ding, Hongbing & Zhang, Yu & Dong, Yuanyuan & Wen, Chuang, 2023. "Joule-Thomson effect and flow behavior for energy-efficient dehydration of high-pressure natural gas in supersonic separator," Energy, Elsevier, vol. 279(C).
    6. Zhang, Guojie & Wang, Xiaogang & Chen, Jiaheng & Tang, Songzhen & Smołka, Krystian & Majkut, Mirosław & Jin, Zunlong & Dykas, Sławomir, 2023. "Supersonic nozzle performance prediction considering the homogeneous-heterogeneous coupling spontaneous non-equilibrium condensation," Energy, Elsevier, vol. 284(C).
    7. Y., Nandakishora & Sahoo, Ranjit K. & S., Murugan & Gu, Sai, 2023. "4E analysis of the cryogenic CO2 separation process integrated with waste heat recovery," Energy, Elsevier, vol. 278(PA).

    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. Wen, Chuang & Karvounis, Nikolas & Walther, Jens Honore & Yan, Yuying & Feng, Yuqing & Yang, Yan, 2019. "An efficient approach to separate CO2 using supersonic flows for carbon capture and storage," Applied Energy, Elsevier, vol. 238(C), pages 311-319.
    2. Wang, Shiwei & Wang, Chao & Ding, Hongbing & Zhang, Yu & Dong, Yuanyuan & Wen, Chuang, 2023. "Joule-Thomson effect and flow behavior for energy-efficient dehydration of high-pressure natural gas in supersonic separator," Energy, Elsevier, vol. 279(C).
    3. Aliabadi, Mohammad Ali Faghih & Lakzian, Esmail & Khazaei, Iman & Jahangiri, Ali, 2020. "A comprehensive investigation of finding the best location for hot steam injection into the wet steam turbine blade cascade," Energy, Elsevier, vol. 190(C).
    4. Ding, Hongbing & Dong, Yuanyuan & Zhang, Yu & Yang, Yan & Wen, Chuang, 2023. "Energy efficiency assessment of hydrogen recirculation ejectors for proton exchange membrane fuel cell (PEMFC) system," Applied Energy, Elsevier, vol. 346(C).
    5. Y., Nandakishora & Sahoo, Ranjit K. & S., Murugan & Gu, Sai, 2023. "4E analysis of the cryogenic CO2 separation process integrated with waste heat recovery," Energy, Elsevier, vol. 278(PA).
    6. Wen, Chuang & Li, Bo & Ding, Hongbing & Akrami, Mohammad & Zhang, Haoran & Yang, Yan, 2022. "Thermodynamics analysis of CO2 condensation in supersonic flows for the potential of clean offshore natural gas processing," Applied Energy, Elsevier, vol. 310(C).
    7. Hou, Lei & Elsworth, Derek & Zhang, Fengshou & Wang, Zhiyuan & Zhang, Jianbo, 2023. "Evaluation of proppant injection based on a data-driven approach integrating numerical and ensemble learning models," Energy, Elsevier, vol. 264(C).
    8. Shi, Changfeng & Zhi, Jiaqi & Yao, Xiao & Zhang, Hong & Yu, Yue & Zeng, Qingshun & Li, Luji & Zhang, Yuxi, 2023. "How can China achieve the 2030 carbon peak goal—a crossover analysis based on low-carbon economics and deep learning," Energy, Elsevier, vol. 269(C).
    9. Jeonghwa Cha & Kyungbo Park & Hangook Kim & Jongyi Hong, 2023. "Crisis Index Prediction Based on Momentum Theory and Earnings Downside Risk Theory: Focusing on South Korea’s Energy Industry," Energies, MDPI, vol. 16(5), pages 1-20, February.
    10. A.S., Remya Ajai & N.B., Harikrishnan & Nagaraj, Nithin, 2023. "Analysis of logistic map based neurons in neurochaos learning architectures for data classification," Chaos, Solitons & Fractals, Elsevier, vol. 170(C).
    11. Song, Xueyi & Yuan, Junjie & Yang, Chen & Deng, Gaofeng & Wang, Zhichao & Gao, Jubao, 2023. "Carbon dioxide separation performance evaluation of amine-based versus choline-based deep eutectic solvents," Renewable and Sustainable Energy Reviews, Elsevier, vol. 184(C).
    12. Luo, Kun & Zhao, Chunguang & Wen, Xu & Gao, Zhengwei & Bai, Yun & Xing, Jiangkuan & Fan, Jianren, 2019. "A priori study of an extended flamelet/progress variable model for NO prediction in pulverized coal flames," Energy, Elsevier, vol. 175(C), pages 768-780.
    13. 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).
    14. Bai, Wengang & Li, Hongzhi & Zhang, Xuwei & Qiao, Yongqiang & Zhang, Chun & Gao, Wei & Yao, Mingyu, 2022. "Thermodynamic analysis of CO2–SF6 mixture working fluid supercritical Brayton cycle used for solar power plants," Energy, Elsevier, vol. 261(PB).
    15. Huang, Liang & Ning, Zhengfu & Wang, Qing & Zhang, Wentong & Cheng, Zhilin & Wu, Xiaojun & Qin, Huibo, 2018. "Effect of organic type and moisture on CO2/CH4 competitive adsorption in kerogen with implications for CO2 sequestration and enhanced CH4 recovery," Applied Energy, Elsevier, vol. 210(C), pages 28-43.
    16. Khan, Muhammad Usman & Lee, Jonathan Tian En & Bashir, Muhammad Aamir & Dissanayake, Pavani Dulanja & Ok, Yong Sik & Tong, Yen Wah & Shariati, Mohammad Ali & Wu, Sarah & Ahring, Birgitte Kiaer, 2021. "Current status of biogas upgrading for direct biomethane use: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 149(C).
    17. Michalski, Sebastian & Hanak, Dawid P. & Manovic, Vasilije, 2020. "Advanced power cycles for coal-fired power plants based on calcium looping combustion: A techno-economic feasibility assessment," Applied Energy, Elsevier, vol. 269(C).
    18. Rahmad Syah & Seyed Mehdi Alizadeh & Karina Shamilyevna Nurgalieva & John William Grimaldo Guerrero & Mahyuddin K. M. Nasution & Afshin Davarpanah & Dadan Ramdan & Ahmed Sayed M. Metwally, 2021. "A Laboratory Approach to Measure Enhanced Gas Recovery from a Tight Gas Reservoir during Supercritical Carbon Dioxide Injection," Sustainability, MDPI, vol. 13(21), pages 1-14, October.
    19. Utlu, Zafer, 2015. "Investigation of the potential for heat recovery at low, medium, and high stages in the Turkish industrial sector (TIS): An application," Energy, Elsevier, vol. 81(C), pages 394-405.
    20. Nguyen, Phong & Carey, J. William & Viswanathan, Hari S. & Porter, Mark, 2018. "Effectiveness of supercritical-CO2 and N2 huff-and-puff methods of enhanced oil recovery in shale fracture networks using microfluidic experiments," Applied Energy, Elsevier, vol. 230(C), pages 160-174.

    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:eee:appene:v:339:y:2023:i:c:s0306261923003392. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    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.