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Thermodynamic modeling on multi-stage vacuum-pressure swing adsorption (VPSA) for direct air carbon capture with extreme dilute carbon dioxide

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  • Zhang, Z.X.
  • Xu, H.J.

Abstract

For improving the performance of Direct Air carbon Capture (DAC) technology, and reducing its energy consumption, a thermodynamic model of 4-step Vacuum-Pressure Swing Adsorption (VPSA) cycle is built and the total electricity consumption and energy utilization efficiency of VPSA are analyzed from aspect of various operating conditions. The model is dependent on the mass conservation and thermodynamic principles, and the common tangent plane method for validating the selected solution is applied at the end of each step calculation. Results indicate that capturing the CO2 at extreme-low concentration requires a large amount of energy and the introduction of the second stage is necessary. Furthermore, energy consumed by CO2 separation decreases from 3317.62 kJ/molCO2 to 32.72 kJ/molCO2 as the CO2 concentration in feed gas rises from 0.04% to 70%. However, there are optimal exergy efficiencies of 42.82%, 30.49%, 22.39%, and 13.47%, respectively for evacuation pressure at 0.2 bar, 0.1 bar, 0.05 bar, and 0.01 bar as CO2 concentration in feed gas increases. The variations of evacuation pressure have the most obvious influence on the exergy efficiency compared to other parameters. The unutilized percentage of the adsorption bed has significant influence on the thermal performance. The minimum purity of CO2 achieves 92.79% when unutilized percentage are both 20% at two stages.

Suggested Citation

  • Zhang, Z.X. & Xu, H.J., 2023. "Thermodynamic modeling on multi-stage vacuum-pressure swing adsorption (VPSA) for direct air carbon capture with extreme dilute carbon dioxide," Energy, Elsevier, vol. 276(C).
  • Handle: RePEc:eee:energy:v:276:y:2023:i:c:s0360544223009441
    DOI: 10.1016/j.energy.2023.127550
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    References listed on IDEAS

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    1. Santori, Giulio & Sapienza, Alessio & Freni, Angelo, 2012. "A dynamic multi-level model for adsorptive solar cooling," Renewable Energy, Elsevier, vol. 43(C), pages 301-312.
    2. Zhao, Ruikai & Deng, Shuai & Liu, Yinan & Zhao, Qing & He, Junnan & Zhao, Li, 2017. "Carbon pump: Fundamental theory and applications," Energy, Elsevier, vol. 119(C), pages 1131-1143.
    3. Liu, W. & Lin, Y.C. & Jiang, L. & Ji, Y. & Yong, J.Y. & Zhang, X.J., 2022. "Thermodynamic exploration of two-stage vacuum-pressure swing adsorption for carbon dioxide capture," Energy, Elsevier, vol. 241(C).
    4. Wang, Rutian & Wen, Xiangyun & Wang, Xiuyun & Fu, Yanbo & Zhang, Yu, 2022. "Low carbon optimal operation of integrated energy system based on carbon capture technology, LCA carbon emissions and ladder-type carbon trading," Applied Energy, Elsevier, vol. 311(C).
    5. Santori, G. & Frazzica, A. & Freni, A. & Galieni, M. & Bonaccorsi, L. & Polonara, F. & Restuccia, G., 2013. "Optimization and testing on an adsorption dishwasher," Energy, Elsevier, vol. 50(C), pages 170-176.
    6. Zhao, Jun & Fu, Jianxin & Deng, Shuai & Wang, Junyao & Xu, Yaofeng, 2020. "Decoupled thermal-driven absorption-based CO2 capture into heat engine plus carbon pump: A new understanding with the case study," Energy, Elsevier, vol. 210(C).
    7. Santori, Giulio & Charalambous, Charithea & Ferrari, Maria-Chiara & Brandani, Stefano, 2018. "Adsorption artificial tree for atmospheric carbon dioxide capture, purification and compression," Energy, Elsevier, vol. 162(C), pages 1158-1168.
    8. Liu, Bingsheng & Xu, Yinghua & Yang, Yang & Lu, Shijian, 2021. "How public cognition influences public acceptance of CCUS in China: Based on the ABC (affect, behavior, and cognition) model of attitudes," Energy Policy, Elsevier, vol. 156(C).
    9. Jiang, L. & Gonzalez-Diaz, A. & Ling-Chin, J. & Roskilly, A.P. & Smallbone, A.J., 2019. "Post-combustion CO2 capture from a natural gas combined cycle power plant using activated carbon adsorption," Applied Energy, Elsevier, vol. 245(C), pages 1-15.
    10. L. Jiang & A. Gonzalez-Diaz & J. Ling-Chin & A. Malik & A. P. Roskilly & A. J. Smallbone, 2020. "PEF plastic synthesized from industrial carbon dioxide and biowaste," Nature Sustainability, Nature, vol. 3(9), pages 761-767, September.
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    2. Liu, Xuetao & Saren, Sagar & Chen, Haonan & Jeong, Ji Hwan & Li, Minxia & Dang, Chaobin & Miyazaki, Takahiko & Thu, Kyaw, 2024. "Open adsorption system for atmospheric CO2 capture: Scaling and sensitivity analysis," Energy, Elsevier, vol. 294(C).

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