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A modified model of the suction technique of wetness reducing in wet steam flow considering power-saving

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  • Dolatabadi, Amir Momeni
  • Lakzian, Esmail
  • Heydari, Mahdi
  • Khan, Afrasyab

Abstract

Nowadays, the presence of droplets in industrial devices such as ejectors, turbine blades, and nozzles causes the reduction of efficiency and reduces the life-cycle of the device by the erosion of walls. The wet steam model is validated by the experimental data. The purpose of this study is to dehumidify and increase the power-saving via the suction technique. To create suction, a hole has been used in the divergent section of the nozzle. The effects of the hole locations and angles are studied using the criteria of wetness loss, power-saving, and erosion rate. Furthermore, another nozzle is applied to the validation of the suction technique, due to lack of experimental data about suction technique. It is shown that the modified model has less wetness loss up to 6.5 % compared to the original mode. The modified model has also been numerically analyzed, showing that it has also led to a 1.22 kW increase in power-saving. In addition, it has caused a reduction of 6 %, 1.52 %, 0.41 % and 6.9 % in the erosion rate ratio, droplets radius, max nucleation rate and liquid mass fraction ratio compared to the original mode, respectively.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:energy:v:238:y:2022:i:pa:s0360544221019332
    DOI: 10.1016/j.energy.2021.121685
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    References listed on IDEAS

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    1. 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).
    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. Wang, Xiaodong & Dong, Jingliang & Zhang, Guangli & Fu, Qiang & Li, He & Han, Yu & Tu, Jiyuan, 2019. "The primary pseudo-shock pattern of steam ejector and its influence on pumping efficiency based on CFD approach," Energy, Elsevier, vol. 167(C), pages 224-234.
    4. 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.
    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. Hosseini, Seyed Ali & Lakzian, Esmail & Zarei, Daryoush & Zare, Mehdi, 2024. "Design and optimization of slot number in supercooled vapor suction in steam turbine blades for reducing the wetness," Energy, Elsevier, vol. 301(C).
    2. 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).
    3. Ansari, Mehran & Esfahanian, Vahid & Izadi, Mohammad Javad & Bashi, Hosein & Tavakoli, Alireza & Kordi, Mohammad, 2023. "Implementation of hot steam injection in steam turbine design: A novel mean-line method coupled with multi-objective optimization and neural network," Energy, Elsevier, vol. 283(C).

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