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Numerical study of heterogeneous condensation in the de Laval nozzle to guide the compressor performance optimization in a compressed air energy storage system

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

Abstract

Compressed air energy storage technology (CAES) has an enormous possibilities in terms of energy conversation, environmental protection, and economic benefits. Air compressor, as a core component, is of great significance for the CAES system efficiency. The impact of the non-equilibrium condensation of steam contained in the air on the blade erosion and thermal efficiency drop in the compressor is not to be missed. The compressor flow characteristics in blade-to-blade channels can be reproduced by the flow in the Laval nozzle, which can verify the accuracy of the condensation model based on similar flow characteristics and subcooling conditions in the non-equilibrium condensation flow. Firstly, the homogeneous condensation flow is numerically investigated by different condensation models, and the Blend model is used to investigate the heterogeneous condensation because of its higher accuracy. Secondly, the physical properties in the heterogeneous condensing flow are analyzed in detail by the particles number, radius, and types. The result presents that the foreign particles promote the heterogeneous condensation while the homogeneous condensation is weakened. Finally, the flow loss coefficients and thermal efficiency are calculated, and the guide to optimize compressor operation is proposed. It is concluded the heterogeneous condensation with liquid droplets as condensation nuclei can weaken the non-equilibrium condensation greatly and reach a higher thermal efficiency compared to the heterogeneous condensation with solid particles as condensation nuclei. The huge amount of air mass flow rate in compressors and expanders used in the CAES systems makes it difficult to filter out the solid particles and to dry air therefore, investigating the impact of steam condensation on the flow characteristics is recommended.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:appene:v:356:y:2024:i:c:s0306261923017257
    DOI: 10.1016/j.apenergy.2023.122361
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    References listed on IDEAS

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    1. Venkataramani, Gayathri & Parankusam, Prasanna & Ramalingam, Velraj & Wang, Jihong, 2016. "A review on compressed air energy storage – A pathway for smart grid and polygeneration," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 895-907.
    2. Bian, Jiang & Cao, Xuewen & Yang, Wen & Song, Xiaodan & Xiang, Chengcheng & Gao, Song, 2019. "Condensation characteristics of natural gas in the supersonic liquefaction process," Energy, Elsevier, vol. 168(C), pages 99-110.
    3. Abadie, Luis M. & Goicoechea, Nestor, 2022. "Optimal management of a mega pumped hydro storage system under stochastic hourly electricity prices in the Iberian Peninsula," Energy, Elsevier, vol. 252(C).
    4. 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).
    5. 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).
    6. Ray, Manojit & Chakraborty, Basab, 2022. "Impact of demand flexibility and tiered resilience on solar photovoltaic adoption in humanitarian settlements," Renewable Energy, Elsevier, vol. 193(C), pages 895-912.
    7. Hu, Pengfei & Zhao, Pu & Li, Qi & Hou, Tianbo & Wang, Shibo & Cao, Lihua & Wang, Yanhong, 2023. "Performance of non-equilibrium condensation flow in wet steam zone of steam turbine based on modified model," Energy, Elsevier, vol. 267(C).
    8. 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).
    9. Bazdar, Elaheh & Sameti, Mohammad & Nasiri, Fuzhan & Haghighat, Fariborz, 2022. "Compressed air energy storage in integrated energy systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    10. Kanwal, Saira & Mehran, Muhammad Taqi & Hassan, Muhammad & Anwar, Mustafa & Naqvi, Salman Raza & Khoja, Asif Hussain, 2022. "An integrated future approach for the energy security of Pakistan: Replacement of fossil fuels with syngas for better environment and socio-economic development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).
    11. 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).
    12. Juan, Yu-Hsuan & Rezaeiha, Abdolrahim & Montazeri, Hamid & Blocken, Bert & Wen, Chih-Yung & Yang, An-Shik, 2022. "CFD assessment of wind energy potential for generic high-rise buildings in close proximity: Impact of building arrangement and height," Applied Energy, Elsevier, vol. 321(C).
    13. 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).
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