IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i17p5361-d624017.html
   My bibliography  Save this article

Effect of Operating Conditions on the Performance of Gas–Liquid Mixture Roots Pumps

Author

Listed:
  • Qing Guo

    (School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, China)

  • Kai Luo

    (School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, China)

  • Daijin Li

    (School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, China)

  • Chuang Huang

    (School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, China)

  • Kan Qin

    (School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, China)

Abstract

The performance of the gas–liquid mixture Roots pump at different operating conditions is investigated in this paper. The pump efficiency was first increased from 48% to 64%, and then decreased to 59% with the increased inlet CO 2 volume fraction (from 0.8 to 1). The increased rotational speed (from 1000 rpm to 4000 rpm) and pressure ratio (from 2 to 10) can lead to a reduction in the pump’s efficiency from 67% to 43% and from 48% to 33%, respectively. The variation in the pump’s efficiency is affected by the volumetric efficiency and the flow efficiency simultaneously. The high pressure and the CO 2 volume fraction in the outlet zone can increase the leakage, leading to a reduction in the volumetric efficiency. The flow efficiency decreases with the increase in the local pressure at the outlet zone and the backflow density. The outlet zone pressure can also affect the fluid properties by changing the density of the gas phase. Therefore, the combined effect of the outlet zone pressure and the working fluid properties is considered to be the main factor affecting the performance. This paper further explores the suitability of Roots pumps for compressing gas–liquid mixtures.

Suggested Citation

  • Qing Guo & Kai Luo & Daijin Li & Chuang Huang & Kan Qin, 2021. "Effect of Operating Conditions on the Performance of Gas–Liquid Mixture Roots Pumps," Energies, MDPI, vol. 14(17), pages 1-23, August.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:17:p:5361-:d:624017
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/17/5361/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/14/17/5361/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wenwu Zhang & Zhiyi Yu & Muhammad Noaman Zahid & Yongjiang Li, 2018. "Study of the Gas Distribution in a Multiphase Rotodynamic Pump Based on Interphase Force Analysis," Energies, MDPI, vol. 11(5), pages 1-16, April.
    2. Qiaorui Si & Gérard Bois & Minquan Liao & Haoyang Zhang & Qianglei Cui & Shouqi Yuan, 2019. "A Comparative Study on Centrifugal Pump Designs and Two-Phase Flow Characteristic under Inlet Gas Entrainment Conditions," Energies, MDPI, vol. 13(1), pages 1-25, December.
    3. Thomas Lobsinger & Timm Hieronymus & Gunther Brenner, 2020. "A CFD Investigation of a 2D Balanced Vane Pump Focusing on Leakage Flows and Multiphase Flow Characteristics," Energies, MDPI, vol. 13(13), pages 1-24, June.
    4. Zhilong He & Tao Wang & Xiaolin Wang & Xueyuan Peng & Ziwen Xing, 2018. "Experimental Investigation into the Effect of Oil Injection on the Performance of a Variable Speed Twin-Screw Compressor," Energies, MDPI, vol. 11(6), pages 1-14, May.
    Full references (including those not matched with items on IDEAS)

    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. 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.
    2. Shuaihui Sun & Pei Ren & Pengcheng Guo & Longgang Sun & Xiaobo Zheng, 2022. "Influence of the Gas Model on the Performance and Flow Field Prediction of a Gas–Liquid Two-Phase Hydraulic Turbine," Energies, MDPI, vol. 15(17), pages 1-18, August.
    3. Thomas Lobsinger & Timm Hieronymus & Hubert Schwarze & Gunther Brenner, 2021. "A CFD-Based Comparison of Different Positive Displacement Pumps for Application in Future Automatic Transmission Systems," Energies, MDPI, vol. 14(9), pages 1-24, April.
    4. Sina Yan & Shuaihui Sun & Xingqi Luo & Senlin Chen & Chenhao Li & Jianjun Feng, 2020. "Numerical Investigation on Bubble Distribution of a Multistage Centrifugal Pump Based on a Population Balance Model," Energies, MDPI, vol. 13(4), pages 1-15, February.
    5. Timm Hieronymus & Thomas Lobsinger & Gunther Brenner, 2021. "A Combined CFD-FEM Approach to Predict Fluid-Borne Vibrations and Noise Radiation of a Rotary Vane Pump," Energies, MDPI, vol. 14(7), pages 1-23, March.
    6. Tao Wang & Qiang Qi & Wei Zhang & Dengyi Zhan, 2023. "Research on Optimization of Profile Parameters in Screw Compressor Based on BP Neural Network and Genetic Algorithm," Energies, MDPI, vol. 16(9), pages 1-17, April.
    7. 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.
    8. 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).
    9. Wang, Cong & Zhang, Yongxue & Yuan, Zhiyi & Ji, Kaizhuo, 2020. "Development and application of the entropy production diagnostic model to the cavitation flow of a pump-turbine in pump mode," Renewable Energy, Elsevier, vol. 154(C), pages 774-785.
    10. 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.
    11. Wenpeng Zhang & Fangping Tang & Lijian Shi & Qiujin Hu & Ying Zhou, 2020. "Effects of an Inlet Vortex on the Performance of an Axial-Flow Pump," Energies, MDPI, vol. 13(11), pages 1-23, June.
    12. Zhe Ma & Baoshan Zhu & Cong Rao & Yonghong Shangguan, 2019. "Comprehensive Hydraulic Improvement and Parametric Analysis of a Francis Turbine Runner," Energies, MDPI, vol. 12(2), pages 1-20, January.
    13. Shamsuddeen, Mohamed Murshid & Ma, Sang-Bum & Park, No-Hyun & Kim, Kyung Min & Kim, Jin-Hyuk, 2023. "Design analysis and optimization of a hydraulic gate turbine for power production from ultra-low head sites," Energy, Elsevier, vol. 275(C).

    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:gam:jeners:v:14:y:2021:i:17:p:5361-:d:624017. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.