IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v280y2023ics0360544223015426.html
   My bibliography  Save this article

Dynamic characteristic analysis of pressure pulsations of a pump turbine in turbine mode utilizing variational mode decomposition combined with Hilbert transform

Author

Listed:
  • Zheng, Xianghao
  • Zhang, Suqi
  • Zhang, Yuning
  • Li, Jinwei
  • Zhang, Yuning

Abstract

Mastering the dynamic characteristics of the pressure pulsations is necessary to ensure high efficiency and security, and extend the life span of the pump turbine (PT) and the pumped storage system. In this research work, the experimental investigation was conducted with the aid of the high-precision equipment to measure the pressure pulsation signals from a PT in the turbine direction. The variational mode decomposition (VMD) and Hilbert marginal spectrum (HMS) are adopted to improve the extraction capabilities of dynamic characteristics in the signals. Through carrying out the VMD, the pressure pulsation signals can be decomposed into several modes. By calculating the average instantaneous frequencies, energy ratios, and correlation coefficients of these modes, the dominant modes are determined, and the trends of the values of root mean square of them with load at typical monitoring points can reflect the dynamic transition of the internal flow status. To be specific, the entire load range can be segmented into three load areas to analyze different physical sources of pressure pulsations. In the low load area, they are mainly induced by the unstable flows of blade passing frequency (BPF) in the vaneless area (VA) and the low-frequency vortex strips in the draft tube (DT). In the intermediate load area, they are mainly caused by the low-frequency vortex strips in the DT. In the high load area, they are mainly caused by the phenomenon of rotor-stator interaction in the VA. By conducting the HMS based on VMD, it can be found that the head changes will affect the amplitudes of dominant frequencies of pressure pulsation signals. Based on the current signal processing results, the high-sensitivity indexes can be used to characterize the generation and dynamic propagation of pressure pulsations.

Suggested Citation

  • Zheng, Xianghao & Zhang, Suqi & Zhang, Yuning & Li, Jinwei & Zhang, Yuning, 2023. "Dynamic characteristic analysis of pressure pulsations of a pump turbine in turbine mode utilizing variational mode decomposition combined with Hilbert transform," Energy, Elsevier, vol. 280(C).
    • Handle: RePEc:eee:energy:v:280:y:2023:i:c:s0360544223015426
    DOI: 10.1016/j.energy.2023.128148
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544223015426
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2023.128148?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. Liu, Ming & Tan, Lei & Cao, Shuliang, 2019. "Theoretical model of energy performance prediction and BEP determination for centrifugal pump as turbine," Energy, Elsevier, vol. 172(C), pages 712-732.
    2. Zuo, Zhigang & Liu, Shuhong & Sun, Yuekun & Wu, Yulin, 2015. "Pressure fluctuations in the vaneless space of High-head pump-turbines—A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 965-974.
    3. Lu, Shibao & Ye, Weiwei & Xue, Yangang & Tang, Yao & Guo, Min, 2020. "Dynamic feature information extraction using the special empirical mode decomposition entropy value and index energy," Energy, Elsevier, vol. 193(C).
    4. Lu, Shibao & Zhang, Xiaoling & Shang, Yizi & Li, Wei & Skitmore, Martin & Jiang, Shuli & Xue, Yangang, 2018. "Improving Hilbert–Huang transform for energy-correlation fluctuation in hydraulic engineering," Energy, Elsevier, vol. 164(C), pages 1341-1350.
    5. Yang, Wei & Hou, Yimin & Jia, Huiting & Liu, Benqing & Xiao, Ruofu, 2019. "Lift-type and drag-type hydro turbine with vertical axis for power generation from water pipelines," Energy, Elsevier, vol. 188(C).
    6. Liu, Ming & Tan, Lei & Cao, Shuliang, 2020. "Method of dynamic mode decomposition and reconstruction with application to a three-stage multiphase pump," Energy, Elsevier, vol. 208(C).
    7. Su, Wen-Tao & Li, Xiao-Bin & Xia, Yu-Xing & Liu, Quan-Zhong & Binama, Maxime & Zhang, Ya-Ning, 2021. "Pressure fluctuation characteristics of a model pump-turbine during runaway transient," Renewable Energy, Elsevier, vol. 163(C), pages 517-529.
    8. Zhang, Yuning & Zheng, Xianghao & Li, Jinwei & Du, Xiaoze, 2019. "Experimental study on the vibrational performance and its physical origins of a prototype reversible pump turbine in the pumped hydro energy storage power station," Renewable Energy, Elsevier, vol. 130(C), pages 667-676.
    9. Li, Deyou & Song, Yechen & Lin, Song & Wang, Hongjie & Qin, Yonglin & Wei, Xianzhu, 2021. "Effect mechanism of cavitation on the hump characteristic of a pump-turbine," Renewable Energy, Elsevier, vol. 167(C), pages 369-383.
    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. Zheng, Xianghao & Li, Hao & Zhang, Suqi & Zhang, Yuning & Li, Jinwei & Zhang, Yuning & Zhao, Weiqiang, 2023. "Hydrodynamic feature extraction and intelligent identification of flow regimes in vaneless space of a pump turbine using improved empirical wavelet transform and Bayesian optimized convolutional neura," Energy, Elsevier, vol. 282(C).
    2. Zhao, Zhigao & Chen, Fei & Gui, Zhonghua & Liu, Dong & Yang, Jiandong, 2023. "Refined composite hierarchical multiscale Lempel-Ziv complexity: A quantitative diagnostic method of multi-feature fusion for rotating energy devices," Renewable Energy, Elsevier, vol. 218(C).
    3. Zhou, Tingxin & Yu, Xiaodong & Zhang, Jian & Xu, Hui, 2024. "Analysis of transient pressure of pump-turbine during load rejection based on a multi-step extraction method," Energy, Elsevier, vol. 292(C).
    4. Zhao, Zhigao & Chen, Fei & He, Xianghui & Lan, Pengfei & Chen, Diyi & Yin, Xiuxing & Yang, Jiandong, 2024. "A universal hydraulic-mechanical diagnostic framework based on feature extraction of abnormal on-field measurements: Application in micro pumped storage system," Applied Energy, Elsevier, vol. 357(C).

    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. Zheng, Xianghao & Li, Hao & Zhang, Suqi & Zhang, Yuning & Li, Jinwei & Zhang, Yuning & Zhao, Weiqiang, 2023. "Hydrodynamic feature extraction and intelligent identification of flow regimes in vaneless space of a pump turbine using improved empirical wavelet transform and Bayesian optimized convolutional neura," Energy, Elsevier, vol. 282(C).
    2. Yang, Fan & Li, Zhongbin & Yuan, Yao & Lin, Zhikang & Zhou, Guangxin & Ji, Qingwei, 2022. "Study on vortex flow and pressure fluctuation in dustpan-shaped conduit of a low head axial-flow pump as turbine," Renewable Energy, Elsevier, vol. 196(C), pages 856-869.
    3. Liu, Ming & Tan, Lei & Cao, Shuliang, 2019. "Dynamic mode decomposition of gas-liquid flow in a rotodynamic multiphase pump," Renewable Energy, Elsevier, vol. 139(C), pages 1159-1175.
    4. Binama, Maxime & Su, Wen-Tao & Cai, Wei-Hua & Li, Xiao-Bin & Muhirwa, Alexis & Li, Biao & Bisengimana, Emmanuel, 2019. "Blade trailing edge position influencing pump as turbine (PAT) pressure field under part-load conditions," Renewable Energy, Elsevier, vol. 136(C), pages 33-47.
    5. Jin, Faye & Luo, Yongyao & Zhao, Qiang & Cao, Jiali & Wang, Zhengwei, 2023. "Energy loss analysis of transition simulation for a prototype reversible pump turbine during load rejection process," Energy, Elsevier, vol. 284(C).
    6. Liu, Ming & Tan, Lei & Cao, Shuliang, 2020. "Influence of viscosity on energy performance and flow field of a multiphase pump," Renewable Energy, Elsevier, vol. 162(C), pages 1151-1160.
    7. Li, Deyou & Qin, Yonglin & Wang, Jianpeng & Zhu, Yutong & Wang, Hongjie & Wei, Xianzhu, 2022. "Optimization of blade high-pressure edge to reduce pressure fluctuations in pump-turbine hump region," Renewable Energy, Elsevier, vol. 181(C), pages 24-38.
    8. Muhirwa, Alexis & Li, Biao & Su, Wen-Tao & Liu, Quan-Zhong & Binama, Maxime & Wu, Jian & Cai, Wei-Hua, 2020. "Investigation on mutual traveling influences between the draft tube and upstream components of a Francis turbine unit," Renewable Energy, Elsevier, vol. 162(C), pages 973-992.
    9. Nishi, Yasuyuki & Itoh, Natsumi & Fukutomi, Junichiro, 2022. "Performance and radial thrust of single-blade reverse running pump turbine," Renewable Energy, Elsevier, vol. 201(P1), pages 499-513.
    10. Wang, Wenjie & Guo, Hailong & Zhang, Chenying & Shen, Jiawei & Pei, Ji & Yuan, Shouqi, 2023. "Transient characteristics of PAT in micro pumped hydro energy storage during abnormal shutdown process," Renewable Energy, Elsevier, vol. 209(C), pages 401-412.
    11. Huichuang Li & Wenwu Zhang & Liwei Hu & Baoshan Zhu & Fujun Wang, 2023. "Studies on Flow Characteristics of Gas–Liquid Multiphase Pumps Applied in Petroleum Transportation Engineering—A Review," Energies, MDPI, vol. 16(17), pages 1-24, August.
    12. Kan, Kan & Zhang, Qingying & Xu, Zhe & Zheng, Yuan & Gao, Qiang & Shen, Lian, 2022. "Energy loss mechanism due to tip leakage flow of axial flow pump as turbine under various operating conditions," Energy, Elsevier, vol. 255(C).
    13. Wang, Kaijie & Wang, Shuli & Meng, Puyu & Wang, Chengpeng & Li, Yuhai & Zheng, Wenxian & Liu, Jun & Kou, Jiawen, 2023. "Strategies employed in the design and optimization of pump as turbine runner," Renewable Energy, Elsevier, vol. 216(C).
    14. Dehghan, Amir Arsalan & Shojaeefard, Mohammad Hassan & Roshanaei, Maryam, 2024. "Exploring a new criterion to determine the onset of cavitation in centrifugal pumps from energy-saving standpoint; experimental and numerical investigation," Energy, Elsevier, vol. 293(C).
    15. Hu, Zanao & Cheng, Yongguang & Chen, Hongyu & Liu, Demin & Ji, Bin & Wang, Zhiyuan & Zhang, Pengcheng & Xue, Song, 2024. "Predicting pump-turbine characteristic curves by theoretical models based on runner geometry parameters," Energy, Elsevier, vol. 301(C).
    16. Chen, Sheng & Wang, Jing & Zhang, Jian & Yu, Xiaodong & He, Wei, 2020. "Transient behavior of two-stage load rejection for multiple units system in pumped storage plants," Renewable Energy, Elsevier, vol. 160(C), pages 1012-1022.
    17. Zhao, Ziwen & Yuan, Yichen & He, Mengjiao & Jurasz, Jakub & Wang, Jianan & Egusquiza, Mònica & Egusquiza, Eduard & Xu, Beibei & Chen, Diyi, 2022. "Stability and efficiency performance of pumped hydro energy storage system for higher flexibility," Renewable Energy, Elsevier, vol. 199(C), pages 1482-1494.
    18. Lin, Tong & Zhu, Zuchao & Li, Xiaojun & Li, Jian & Lin, Yanpi, 2021. "Theoretical, experimental, and numerical methods to predict the best efficiency point of centrifugal pump as turbine," Renewable Energy, Elsevier, vol. 168(C), pages 31-44.
    19. Zhang, Wenwu & Xie, Xing & Zhu, Baoshan & Ma, Zhe, 2021. "Analysis of phase interaction and gas holdup in a multistage multiphase rotodynamic pump based on a modified Euler two-fluid model," Renewable Energy, Elsevier, vol. 164(C), pages 1496-1507.
    20. Erkan, Onur & Özkan, Musa & Karakoç, T. Hikmet & Garrett, Stephen J. & Thomas, Peter J., 2020. "Investigation of aerodynamic performance characteristics of a wind-turbine-blade profile using the finite-volume method," Renewable Energy, Elsevier, vol. 161(C), pages 1359-1367.

    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:280:y:2023:i:c:s0360544223015426. 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.