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Thermal-flow coupling mechanism of multi-nozzle air injection for compressed air energy storage in abandoned mine roadway

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  • Sun, Shicai
  • Zhang, Rundong
  • Gu, Linlin
  • Zhang, Lin
  • Yang, Yunqin
  • Gan, Quan

Abstract

The thermal-flow coupling model for compressed air was established to simulate the inflation process of the compressed air energy storage system. The effects of nozzle number and inclination angle on the thermodynamic characteristics and energy conversion of compressed air were analyzed. The thermal-flow coupling mechanism was compared between normal and nozzle conditions. The results show that when the number of nozzles is 4, the temperature distribution uniformity is the best, with the temperature difference between the average temperature and the maximum temperature being only 1.2 K. When the nozzle inclination angle is 60°, a large-scale vortex is formed in the roadway, avoiding local vortices that cause rapid attenuation of the axial velocity. Compared with the normal condition, the multi-nozzle structure reduces the average temperature of the compressed air in the roadway at the end of inflation by 28.0 K, increases the maximum temperature by 53.4 K, and increases the exergy by 6.5 %. The adoption of nozzles can enhance the safety and stability of the CAES system through the coordinated regulation of the flow field and energy, providing a theoretical basis for the design optimization of the inflation structure.

Suggested Citation

  • Sun, Shicai & Zhang, Rundong & Gu, Linlin & Zhang, Lin & Yang, Yunqin & Gan, Quan, 2026. "Thermal-flow coupling mechanism of multi-nozzle air injection for compressed air energy storage in abandoned mine roadway," Energy, Elsevier, vol. 342(C).
    • Handle: RePEc:eee:energy:v:342:y:2026:i:c:s0360544225052284
    DOI: 10.1016/j.energy.2025.139586
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    References listed on IDEAS

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    1. Lu, Qing & Fang, Huaxin & Hou, Jianchao, 2024. "The impact of energy supply side on the diffusion of low-carbon transformation on energy demand side under low-carbon policies in China," Energy, Elsevier, vol. 307(C).
    2. Yang, Mingjun & Song, Yongchen & Jiang, Lanlan & Zhao, Yuechao & Ruan, Xuke & Zhang, Yi & Wang, Shanrong, 2014. "Hydrate-based technology for CO2 capture from fossil fuel power plants," Applied Energy, Elsevier, vol. 116(C), pages 26-40.
    3. Chen, Long-Xiang & Hu, Peng & Sheng, Chun-Chen & Xie, Mei-Na, 2017. "A novel compressed air energy storage (CAES) system combined with pre-cooler and using low grade waste heat as heat source," Energy, Elsevier, vol. 131(C), pages 259-266.
    4. 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).
    5. Mohtaram, Soheil & Sun, HongGuang & Lin, Ji & Chen, Wen & Sun, Yonghui, 2020. "Multi-Objective Evolutionary Optimization & 4E analysis of a bulky combined cycle power plant by CO2/ CO/ NOx reduction and cost controlling targets," Renewable and Sustainable Energy Reviews, Elsevier, vol. 128(C).
    6. He, Wei & Luo, Xing & Evans, David & Busby, Jonathan & Garvey, Seamus & Parkes, Daniel & Wang, Jihong, 2017. "Exergy storage of compressed air in cavern and cavern volume estimation of the large-scale compressed air energy storage system," Applied Energy, Elsevier, vol. 208(C), pages 745-757.
    7. Aryanfar, Yashar & Mohtaram, Soheil & García Alcaraz, Jorge Luis & Sun, HongGuang, 2023. "Energy and exergy assessment and a competitive study of a two-stage ORC for recovering SFGC waste heat and LNG cold energy," Energy, Elsevier, vol. 264(C).
    8. Guo, Xinpeng & Li, Tie & Chen, Run & Huang, Shuai & Zhou, Xinyi & Wang, Ning & Li, Shiyan, 2024. "Effects of the nozzle design parameters on turbulent jet development of active pre-chamber," Energy, Elsevier, vol. 306(C).
    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. Fan, Jinyang & Liu, Wei & Jiang, Deyi & Chen, Junchao & Ngaha Tiedeu, William & Chen, Jie & JJK, Deaman, 2018. "Thermodynamic and applicability analysis of a hybrid CAES system using abandoned coal mine in China," Energy, Elsevier, vol. 157(C), pages 31-44.
    11. Bu, Xianbiao & Huang, Sihao & Liu, Shi & Yang, Yi & Shu, Jie & Tan, Xianfeng & Chen, Hongnian & Wang, Guiling, 2024. "Efficient utilization of abandoned mines for isobaric compressed air energy storage," Energy, Elsevier, vol. 311(C).
    Full references (including those not matched with items on IDEAS)

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