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Design and optimization of novel dehumidification strategies based on modified nucleation model in three-dimensional cascade

Author

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  • Zhang, Guojie
  • Zhang, Xinzhe
  • Wang, Fangfang
  • Wang, Dingbiao
  • Jin, Zunlong
  • Zhou, Zhongning

Abstract

To decrease the wetness loss and increase the efficiency in nuclear plant steam turbine, several novel dehumidification strategies are presented in this paper and the dehumidification effect is tested. The modified nucleation model is built firstly, and the accuracy of the modified nucleation model combined with several droplet growth models is investigated and discussed. Secondly, the non-equilibrium condensation (NQC) characteristics in Dykas cascade are studied, the relationship among the parameters is obtained. Secondly, five novel dehumidification strategies are presented, and the dehumidification effect is evaluated. With the passage layer increasing, the ability of the wetness loss reduction is gradually enhanced. When the passage layer increases to 5, the wetness loss is reduced to 1.15 kJ/kg, but which is at the cost of reducing the blade strength. And the LNB_LNE_LWC is the best choice by balancing the dehumidification effect and the blade strength, succeeding in reducing the wetness loss to 1.42 kJ/kg. At last, the NQC characteristics in three-dimensional cascade are investigated numerically, the structure dehumidification effect with different passage layers is evaluated in detail. The results in this paper can give a scientific basis and reference for the design and optimization of the dehumidification strategy in nuclear plant steam turbine.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:energy:v:187:y:2019:i:c:s0360544219316767
    DOI: 10.1016/j.energy.2019.115982
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    References listed on IDEAS

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    5. Vatanmakan, Masoud & Lakzian, Esmail & Mahpeykar, Mohammad Reza, 2018. "Investigating the entropy generation in condensing steam flow in turbine blades with volumetric heating," Energy, Elsevier, vol. 147(C), pages 701-714.
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    Cited by:

    1. Jie Wang & Hongfang Gu, 2021. "A Study of Moist Air Condensation Characteristics in a Transonic Flow System," Energies, MDPI, vol. 14(13), pages 1-12, July.
    2. 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).
    3. 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).
    4. Piotr Wiśniewski & Guojie Zhang & Sławomir Dykas, 2022. "Numerical Investigation of the Influence of Air Contaminants on the Interfacial Heat Transfer in Transonic Flow in a Compressor Rotor," Energies, MDPI, vol. 15(12), pages 1-21, June.
    5. 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).
    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. Momeni Dolatabadi, Amir & Moslehi, Jamshid & Saffari Pour, Mohsen & Mousavi Ajarostaghi, Seyed Soheil & Poncet, Sébastien & Arıcı, Müslüm, 2022. "Modified model of reduction condensing losses strategy into the wet steam flow considering efficient energy of steam turbine based on injection of nano-droplets," Energy, Elsevier, vol. 242(C).
    8. 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).

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