IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v192y2020ics0360544219323217.html
   My bibliography  Save this article

Distribution characteristics of salt-out particles in steam turbine stage

Author

Listed:
  • Hu, Pengfei
  • Cao, Lihua
  • Su, Jingkai
  • Li, Qi
  • Li, Yong

Abstract

Exploring the distribution characteristics of salt-out particles on the blade surface is one of the most urgent problems for supercritical steam turbine. To obtain more practical distribution characteristics of salt-out particles in the steam turbine stage, the population balance model is loaded based on Eulerian multiphase model to simulate the real existed microscopic behaviors of salt-out particles such as nucleation, growth, aggregation and breakage. The results show that along the axial direction the number of salt-out particles gradually decreases and a ladder-like distribution is observed both on the stator and rotor blades. For the stator blade, a critical position which is 62.9% of the axial chord length occurs before which the diameter of salt-out particles on the pressure surface is greater than that on the suction surface, while after that the situation is opposite; for the rotor blade, a different critical position which is 81.1% of the axial chord length occurs. Along the axial direction the volume fraction of particles declines in the entrance area, fluctuates in the middle area on the stator blade, and on the pressure surface of rotor blade, a peak position of the volume fraction is consistent with the maximum turbulence intensity and particle diameter.

Suggested Citation

  • Hu, Pengfei & Cao, Lihua & Su, Jingkai & Li, Qi & Li, Yong, 2020. "Distribution characteristics of salt-out particles in steam turbine stage," Energy, Elsevier, vol. 192(C).
    • Handle: RePEc:eee:energy:v:192:y:2020:i:c:s0360544219323217
    DOI: 10.1016/j.energy.2019.116626
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544219323217
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2019.116626?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Padhy, M.K. & Saini, R.P., 2012. "Study of silt erosion mechanism in Pelton turbine buckets," Energy, Elsevier, vol. 39(1), pages 286-293.
    2. Cai, Liu-xi & Wang, Shun-sen & Mao, Jing-ru & Di, Juan & Feng, Zhen-ping, 2015. "The influence of nozzle chamber structure and partial-arc admission on the erosion characteristics of solid particles in the control stage of a supercritical steam turbine," Energy, Elsevier, vol. 82(C), pages 341-352.
    3. Zhou, Hong & Chen, Cheng & Lai, Jingang & Lu, Xiaoqing & Deng, Qijun & Gao, Xingran & Lei, Zhongcheng, 2018. "Affine nonlinear control for an ultra-supercritical coal fired once-through boiler-turbine unit," Energy, Elsevier, vol. 153(C), pages 638-649.
    4. Salahshoor, Karim & Kordestani, Mojtaba & Khoshro, Majid S., 2010. "Fault detection and diagnosis of an industrial steam turbine using fusion of SVM (support vector machine) and ANFIS (adaptive neuro-fuzzy inference system) classifiers," Energy, Elsevier, vol. 35(12), pages 5472-5482.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Cao, Yan & Dhahad, Hayder A. & Hussen, Hasanen M. & Anqi, Ali E. & Farouk, Naeim & Issakhov, Alibek, 2022. "Development and tri-objective optimization of a novel biomass to power and hydrogen plant: A comparison of fueling with biomass gasification or biomass digestion," Energy, Elsevier, vol. 238(PC).
    2. 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).
    3. Li, Xingshuo & Liu, Jinfu & Bai, Mingliang & Li, Jiajia & Li, Xianling & Yan, Peigang & Yu, Daren, 2021. "An LSTM based method for stage performance degradation early warning with consideration of time-series information," Energy, Elsevier, vol. 226(C).
    4. Wang, Aili & Wang, Shunsheng & Ebrahimi-Moghadam, Amir & Farzaneh-Gord, Mahmood & Moghadam, Ali Jabari, 2022. "Techno-economic and techno-environmental assessment and multi-objective optimization of a new CCHP system based on waste heat recovery from regenerative Brayton cycle," Energy, Elsevier, vol. 241(C).
    5. Petković, Dalibor & Barjaktarovic, Miljana & Milošević, Slaviša & Denić, Nebojša & Spasić, Boban & Stojanović, Jelena & Milovancevic, Milos, 2021. "Neuro fuzzy estimation of the most influential parameters for Kusum biodiesel performance," Energy, Elsevier, vol. 229(C).
    6. Ali Aldrees, 2022. "Using peak discharge estimation methods in urban flood modeling for WADI AL-AQIQ," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(3), pages 3461-3484, March.
    7. Xueqing Kang & Farman Ullah Khan & Raza Ullah & Muhammad Arif & Shams Ur Rehman & Farid Ullah, 2021. "Does Foreign Direct Investment Influence Renewable Energy Consumption? Empirical Evidence from South Asian Countries," Energies, MDPI, vol. 14(12), pages 1-15, June.
    8. Chien, FengSheng & Ngo, Quang-Thanh & Hsu, Ching-Chi & Chau, Ka Yin & Mohsin, Muhammad, 2021. "Assessing the capacity of renewable power production for green energy system: a way forward towards zero carbon electrification," MPRA Paper 109667, University Library of Munich, Germany.
    9. 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).
    10. Cao, Yan & Ayed, Hamdi & Hashemian, Mehran & Issakhov, Alibek & Jarad, Fahd & Wae-hayee, Makatar, 2021. "Inducing swirl flow inside the pipes of flat-plate solar collector by using multiple nozzles for enhancing thermal performance," Renewable Energy, Elsevier, vol. 180(C), pages 1344-1357.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Cao, Li-hua & Liu, Shuang & Li, Yan-chao & Si, He-yong, 2020. "Influence of valve governing mode on solid particle erosion and efficiency in governing stage of steam turbine," Energy, Elsevier, vol. 191(C).
    2. Wu, Chunying & Sun, Lingfang & Piao, Heng & Yao, Lijia, 2024. "Adaptive fuzzy finite time integral sliding mode control of the coordinated system for 350 MW supercritical once-through boiler unit to enhance flexibility," Energy, Elsevier, vol. 302(C).
    3. Feng Lu & Jipeng Jiang & Jinquan Huang & Xiaojie Qiu, 2018. "An Iterative Reduced KPCA Hidden Markov Model for Gas Turbine Performance Fault Diagnosis," Energies, MDPI, vol. 11(7), pages 1-21, July.
    4. Ge, Xinfeng & Sun, Jie & Zhou, Ye & Cai, Jianguo & Zhang, Hui & Zhang, Lei & Ding, Mingquan & Deng, Chaozhong & Binama, Maxime & Zheng, Yuan, 2021. "Experimental and Numerical studies on Opening and Velocity Influence on Sediment Erosion of Pelton Turbine Buckets," Renewable Energy, Elsevier, vol. 173(C), pages 1040-1056.
    5. Zhang, Hongfu & Gao, Mingming & Fan, Haohao & Zhang, Kaiping & Zhang, Jiahui, 2022. "A dynamic model for supercritical once-through circulating fluidized bed boiler-turbine units," Energy, Elsevier, vol. 241(C).
    6. Kumar, Prashant & Singal, S.K. & Gohil, Pankaj P., 2024. "A technical review on combined effect of cavitation and silt erosion on Francis turbine," Renewable and Sustainable Energy Reviews, Elsevier, vol. 190(PB).
    7. Wu, Zhenlong & Li, Donghai & Xue, Yali & Chen, YangQuan, 2019. "Gain scheduling design based on active disturbance rejection control for thermal power plant under full operating conditions," Energy, Elsevier, vol. 185(C), pages 744-762.
    8. Wang, Zhiyuan & Qian, Zhongdong, 2017. "Effects of concentration and size of silt particles on the performance of a double-suction centrifugal pump," Energy, Elsevier, vol. 123(C), pages 36-46.
    9. Brkovic, Aleksandar & Gajic, Dragoljub & Gligorijevic, Jovan & Savic-Gajic, Ivana & Georgieva, Olga & Di Gennaro, Stefano, 2017. "Early fault detection and diagnosis in bearings for more efficient operation of rotating machinery," Energy, Elsevier, vol. 136(C), pages 63-71.
    10. Cai, Liu-xi & Wang, Shun-sen & Mao, Jing-ru & Di, Juan & Feng, Zhen-ping, 2015. "The influence of nozzle chamber structure and partial-arc admission on the erosion characteristics of solid particles in the control stage of a supercritical steam turbine," Energy, Elsevier, vol. 82(C), pages 341-352.
    11. Cai, Liuxi & Xiao, Junfeng & Wang, Shunsen & Gao, Song & Duan, Jingyao & Mao, Jingru, 2017. "Gas-particle flows and erosion characteristic of large capacity dry top gas pressure recovery turbine," Energy, Elsevier, vol. 120(C), pages 498-506.
    12. Xiao, Yexiang & Guo, Bao & Rai, Anant Kumar & Liu, Jie & Liang, Quanwei & Zhang, Jin, 2022. "Analysis of hydro-abrasive erosion in Pelton buckets using a Eulerian-Lagrangian approach," Renewable Energy, Elsevier, vol. 197(C), pages 472-485.
    13. Huang, Congzhi & Sheng, Xinxin, 2020. "Data-driven model identification of boiler-turbine coupled process in 1000 MW ultra-supercritical unit by improved bird swarm algorithm," Energy, Elsevier, vol. 205(C).
    14. Hou, Guolian & Huang, Ting & Zheng, Fumeng & Huang, Congzhi, 2024. "A hierarchical reinforcement learning GPC for flexible operation of ultra-supercritical unit considering economy," Energy, Elsevier, vol. 289(C).
    15. Zhou, Dengji & Zhang, Huisheng & Weng, Shilie, 2014. "A novel prognostic model of performance degradation trend for power machinery maintenance," Energy, Elsevier, vol. 78(C), pages 740-746.
    16. Yamamoto, Satoru & Uemura, Akihiro & Miyazawa, Hironori & Furusawa, Takashi & Yonezawa, Koichi & Umezawa, Shuichi & Ohmori, Shuichi & Suzuki, Takeshi, 2020. "A numerical and analytical coupling method for predicting the performance of intermediate-pressure steam turbines in operation," Energy, Elsevier, vol. 198(C).
    17. Yaïci, Wahiba & Entchev, Evgueniy, 2016. "Adaptive Neuro-Fuzzy Inference System modelling for performance prediction of solar thermal energy system," Renewable Energy, Elsevier, vol. 86(C), pages 302-315.
    18. Ameur, Houari & Bouzit, Mohamed, 2013. "Power consumption for stirring shear thinning fluids by two-blade impeller," Energy, Elsevier, vol. 50(C), pages 326-332.
    19. Yu, Jianxi & Liu, Pei & Li, Zheng, 2020. "Hybrid modelling and digital twin development of a steam turbine control stage for online performance monitoring," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    20. Strušnik, Dušan & Avsec, Jurij, 2015. "Artificial neural networking and fuzzy logic exergy controlling model of combined heat and power system in thermal power plant," Energy, Elsevier, vol. 80(C), pages 318-330.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:192:y:2020:i:c:s0360544219323217. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.