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Multi-objective optimization of hot steam injection variables to control wetness parameters of steam flow within nozzles

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  • Mirhoseini, Mohadeseh Sadat
  • Boroomand, Masoud

Abstract

The formation of liquid droplets in the low pressure steam turbines has devastating impacts on the turbine adiabatic efficiency and also causes the mechanical damage of blades due to the occurrence of severe erosion phenomenon. Previous investigations have shown that the injection of steam can decrease liquid mass fraction as well as the size of the averaged radius of droplets. To exploit the maximum potentials of this method, the optimization of injection variables is necessary. In the present study, the numerical solution of wet steam flow by the injection of hot steam within convergent-divergent nozzles together with a multi-objective genetic algorithm method are used to evaluate the appropriate injection parameters. It is concluded that to reduce liquid droplet size by 66% and liquid mass fraction by 13%, an injection steam flow rate of 4% of the main stream flow rate with a temperature 1.8 times of inlet steam temperature is required. Such a reduction of liquid droplet size has an enormous effect on lowering the erosion damages of blades. Furthermore, the injection drives the liquid droplets away from the solid boundaries, which is also expected to reduce the possible mechanical damages to the blades and the casings of turbine.

Suggested Citation

  • Mirhoseini, Mohadeseh Sadat & Boroomand, Masoud, 2017. "Multi-objective optimization of hot steam injection variables to control wetness parameters of steam flow within nozzles," Energy, Elsevier, vol. 141(C), pages 1027-1037.
    • Handle: RePEc:eee:energy:v:141:y:2017:i:c:p:1027-1037
    DOI: 10.1016/j.energy.2017.09.138
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    References listed on IDEAS

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    1. Wróblewski, Włodzimierz & Dykas, Sławomir, 2016. "Two-fluid model with droplet size distribution for condensing steam flows," Energy, Elsevier, vol. 106(C), pages 112-120.
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    Cited by:

    1. Yang, Yan & Zhu, Xiaowei & Yan, Yuying & Ding, Hongbing & Wen, Chuang, 2019. "Performance of supersonic steam ejectors considering the nonequilibrium condensation phenomenon for efficient energy utilisation," Applied Energy, Elsevier, vol. 242(C), pages 157-167.
    2. Hoseinzade, Davood & Lakzian, Esmail & Hashemian, Ali, 2021. "A blackbox optimization of volumetric heating rate for reducing the wetness of the steam flow through turbine blades," Energy, Elsevier, vol. 220(C).
    3. Aliabadi, Mohammad Ali Faghih & Lakzian, Esmail & Khazaei, Iman & Jahangiri, Ali, 2020. "A comprehensive investigation of finding the best location for hot steam injection into the wet steam turbine blade cascade," Energy, Elsevier, vol. 190(C).
    4. Han, Xu & Zeng, Wei & Han, Zhonghe, 2019. "Investigation of the comprehensive performance of turbine stator cascades with heating endwall fences," Energy, Elsevier, vol. 174(C), pages 1188-1199.
    5. 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).
    6. 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).
    7. Dolatabadi, Amir Momeni & Lakzian, Esmail & Heydari, Mahdi & Khan, Afrasyab, 2022. "A modified model of the suction technique of wetness reducing in wet steam flow considering power-saving," Energy, Elsevier, vol. 238(PA).
    8. Zhonghe Han & Wei Zeng & Xu Han & Peng Xiang, 2018. "Investigating the Dehumidification Characteristics of Turbine Stator Cascades with Parallel Channels," Energies, MDPI, vol. 11(9), pages 1-17, September.

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