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Investigation of heterogeneous condensation flow characteristics in the steam turbine based on homogeneous-heterogeneous condensation coupling model using OpenFOAM

Author

Listed:
  • Hu, Pengfei
  • Liang, Qi
  • Fan, Tiantian
  • Wang, Yanhong
  • Li, Qi

Abstract

Non-equilibrium condensation can result in thermodynamic losses within turbine stages and potentially cause blade erosion. During turbine operation, steam frequently carries foreign particles, which can influence non-equilibrium condensation. However, there is a lack of systematic research on the specific effects of these particles on the condensation processes. This paper firstly utilizes OpenFOAM to establish a homogeneous-heterogeneous condensation coupling model, which is validated for accuracy through experimental data. Secondly, it investigates the effects of NaCl particle concentration and radius on the heterogeneous condensation process in Laval nozzles and Dykas cascades. Finally, it examines the relationship between the kinetic energy ratio, condensation loss ratio, wetness fraction ratio, and particle concentration and radius in turbine cascades to explore the optimal method for reducing the impact of condensation phase change in steam turbines. The results indicate that nucleation rate decreases as particle radius decreases and concentration increases in Laval nozzle. However, the effect of concentration on wetness is non-linear; as concentration increases, wetness initially decreases before increasing. In comparison to homogeneous condensation within Dykas cascades, when the introduced particle radius is 1 × 10−9 m and the concentration is 1014kg−1, the kinetic energy increases by 2.93%, condensation loss decreases by 22.91%, and wetness fraction decreases by 23.64%.

Suggested Citation

  • Hu, Pengfei & Liang, Qi & Fan, Tiantian & Wang, Yanhong & Li, Qi, 2024. "Investigation of heterogeneous condensation flow characteristics in the steam turbine based on homogeneous-heterogeneous condensation coupling model using OpenFOAM," Energy, Elsevier, vol. 296(C).
  • Handle: RePEc:eee:energy:v:296:y:2024:i:c:s0360544224008806
    DOI: 10.1016/j.energy.2024.131108
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    References listed on IDEAS

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    1. 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).
    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. 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).
    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. Hu, Pengfei & Meng, Qingqiang & Fan, Tiantian & Cao, Lihua & Li, Qi, 2023. "Dynamic response of turbine blade considering a droplet-wall interaction in wet steam region," Energy, Elsevier, vol. 265(C).
    6. 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).
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    8. Zhang, Guojie & Zhang, Xinzhe & Wang, Fangfang & Wang, Dingbiao & Jin, Zunlong & Zhou, Zhongning, 2019. "Design and optimization of novel dehumidification strategies based on modified nucleation model in three-dimensional cascade," Energy, Elsevier, vol. 187(C).
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    Full references (including those not matched with items on IDEAS)

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    1. Zhang, Guojie & Zhang, Qianhao & Yang, Yifan & Jin, Zunlong & Dykas, Sławomir, 2025. "Development of an OpenFOAM non-equilibrium condensation model for flow loss and performance prediction in steam transonic flows," Energy, Elsevier, vol. 340(C).
    2. Momeni Dolatabadi, Amir & Mottahedi, Hamid Reza & Faghih Aliabadi, Mohammad Ali & Saffari Pour, Mohsen & Wen, Chuang & Akrami, Mohammad, 2024. "Evaluating and optimizing of steam ejector performance considering heterogeneous condensation using machine learning framework," Energy, Elsevier, vol. 305(C).
    3. Zhang, Shoubing & Jin, Zunlong & Zhang, Guojie, 2026. "Optimization of liquid droplet injection in steam turbine blades: Loss reduction, droplet size control, and performance enhancement," Energy, Elsevier, vol. 347(C).

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