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A comprehensive investigation of finding the best location for hot steam injection into the wet steam turbine blade cascade

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  • Aliabadi, Mohammad Ali Faghih
  • Lakzian, Esmail
  • Khazaei, Iman
  • Jahangiri, Ali

Abstract

In the power plant industry, a major part of energy losses in the thermodynamic cycle is related to the steam turbines, which are not made to work with wet steam flow, and the presence of the liquid phase causes efficiency reduction and mechanical damages such as erosion, which leads to high expenses due to the high cost of steam turbines. The present study used the hot steam injection (HSI) to decrease condensation loss and erosion rate. Location for HSI effects on the pressure distribution, Mach number, and liquid mass fraction of flow at the suction and pressure surfaces. For this purpose, several locations on suction and pressure sides were considered to select an appropriate location for injection. In this study, EEHIC (entropy generated, erosion rate, HSI ratio, inlet mass flow rate to the blade and condensation loss) method is used to select the most suitable HSI location. Results indicated that injecting on the suction side is more effective on mentioned parameters than the pressure side. HSI on the suction side (the lowest temperature in the center line of blade) decreased the condensation loss and erosion rate ratio by 81% and 99%, respectively, compared to the case of no injection.

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  • 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).
    • Handle: RePEc:eee:energy:v:190:y:2020:i:c:s0360544219320924
    DOI: 10.1016/j.energy.2019.116397
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    2. 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).
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    5. 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).
    6. 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).
    7. 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).
    8. 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).
    9. 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).
    10. Dolatabadi, Amir Momeni & Faghih Aliabadi, Mohammad Ali, 2024. "Evaluating sustainability power plant efficiency: Unveiling the impact of power plant load ratio on holding steam ejector performance," Energy, Elsevier, vol. 305(C).

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