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Nanoparticles-induced heterogeneous condensation and geometry optimizations to enhance liquefaction efficiency and mitigate exergy loss in a novel hydrogen liquefaction two-phase expander

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  • Zhang, Guojie
  • Yang, Yifan
  • Zhang, Xinzhe
  • Zhang, Zebin
  • Chen, Jiaheng
  • Jin, Zunlong
  • Dykas, Sławomir

Abstract

Hydrogen liquefaction methods primarily rely on various refrigeration cycles and nanoparticles are integrated into process to enhance the liquid hydrogen production yield by modifying material properties. Besides, the nanoparticles can induce the heterogeneous condensation in a novel hydrogen liquefaction transonic two-phase expander(TTPE). The TTPE is modeled as a De Laval nozzle for simplification and numerical technology is applied to improve the efficiency and minimize the exergy loss of hydrogen liquefaction by focusing on non-equilibrium condensation. For the first time, a mathematical model is established for a heterogeneous non-equilibrium condensing flow with hydrogen liquefaction incorporating the effect of nanoparticle. By introducing nanoparticles with boundary conditions set at a concentration of 10181/kg and a 10 nm radius, the efficiency of hydrogen liquefaction can be maximally enhanced by 4.29 %. Additional, by optimizing the geometrical structure of the de Laval nozzle, efficiency is improved by 2.93 % and 9.30 %, respectively, with further potential enhancements. Detailed analyses for TTPE are conducted of hydrogen liquefaction flow losses, thermal efficiency and total exergy loss under different flow conditions. Precise control of nanoparticle concentration and size, along with the regulation of intake compression and expansion state are necessary to enhance the feasibility of the liquefaction process. Finally, we discuss future research directions aimed at comprehensively enhancing the liquid hydrogen yield and reducing total energy consumption losses through effective and achievable strategies.

Suggested Citation

  • Zhang, Guojie & Yang, Yifan & Zhang, Xinzhe & Zhang, Zebin & Chen, Jiaheng & Jin, Zunlong & Dykas, Sławomir, 2024. "Nanoparticles-induced heterogeneous condensation and geometry optimizations to enhance liquefaction efficiency and mitigate exergy loss in a novel hydrogen liquefaction two-phase expander," Energy, Elsevier, vol. 313(C).
    • Handle: RePEc:eee:energy:v:313:y:2024:i:c:s0360544224037848
    DOI: 10.1016/j.energy.2024.134006
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    References listed on IDEAS

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    1. Zou, Aihong & Zeng, Yupei & Luo, Ercang, 2023. "New generation hydrogen liquefaction technology by transonic two-phase expander," Energy, Elsevier, vol. 272(C).
    2. 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).
    3. Ding, Hongbing & Dong, Yuanyuan & Zhang, Yu & Wen, Chuang & Yang, Yan, 2024. "Exergy performance analysis of hydrogen recirculation ejectors exhibiting phase change behaviour in PEMFC applications," Energy, Elsevier, vol. 300(C).
    4. Zhang, Guojie & Wang, Xiaogang & Wiśniewski, Piotr & Chen, Jiaheng & Qin, Xiang & Dykas, Sławomir, 2023. "Effect of NaCl presence caused by salting out on the heterogeneous-homogeneous coupling non-equilibrium condensation flow in a steam turbine cascade," Energy, Elsevier, vol. 263(PE).
    5. Moreno, Daniel & Ferro, Víctor R. & de Riva, Juan & Santiago, Rubén & Moya, Cristian & Larriba, Marcos & Palomar, José, 2018. "Absorption refrigeration cycles based on ionic liquids: Refrigerant/absorbent selection by thermodynamic and process analysis," Applied Energy, Elsevier, vol. 213(C), pages 179-194.
    6. Zhang, Guojie & Dykas, Sławomir & Li, Pan & Li, Hang & Wang, Junlei, 2020. "Accurate condensing steam flow modeling in the ejector of the solar-driven refrigeration system," Energy, Elsevier, vol. 212(C).
    7. Chen, Jianan & Li, Anna & Huang, Zhu & Jiang, Wenming & Xi, Guang, 2023. "Non-equilibrium condensation in flue gas and migration trajectory of CO2 droplets in a supersonic separator," Energy, Elsevier, vol. 276(C).
    8. Zhou, Li, 2005. "Progress and problems in hydrogen storage methods," Renewable and Sustainable Energy Reviews, Elsevier, vol. 9(4), pages 395-408, August.
    9. Muhammad Aziz, 2021. "Liquid Hydrogen: A Review on Liquefaction, Storage, Transportation, and Safety," Energies, MDPI, vol. 14(18), pages 1-29, September.
    10. Zhang, Guojie & Li, Yunpeng & Jin, Zunlong & Dykas, Sławomir & Cai, Xiaoshu, 2024. "A novel carbon dioxide capture technology (CCT) based on non-equilibrium condensation characteristics: Numerical modelling, nozzle design and structure optimization," Energy, Elsevier, vol. 286(C).
    11. Zhang, Guojie & Yang, Yifan & Chen, Jiaheng & Jin, Zunlong & Dykas, Sławomir, 2024. "Numerical study of heterogeneous condensation in the de Laval nozzle to guide the compressor performance optimization in a compressed air energy storage system," Applied Energy, Elsevier, vol. 356(C).
    12. 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).
    13. 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).
    14. Aasadnia, Majid & Mehrpooya, Mehdi, 2018. "Large-scale liquid hydrogen production methods and approaches: A review," Applied Energy, Elsevier, vol. 212(C), pages 57-83.
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    1. Liang, Di & Li, Keqin & Zhou, Zhongning & Li, Yimin, 2025. "Structure optimization of steam turbine cascade considering the non-equilibrium condensation using machine learning method," Energy, Elsevier, vol. 320(C).

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