IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v228y2021ics0360544221008677.html
   My bibliography  Save this article

Energy saving by reducing motor rating of sucker-rod pump systems

Author

Listed:
  • Li, Weicheng
  • Vaziri, Vahid
  • Aphale, Sumeet S.
  • Dong, Shimin
  • Wiercigroch, Marian

Abstract

Energy industry can make significant savings by reducing electric motors ratings of the popular Sucker-Rod Pump (SRP) systems. This can be achieved by application of robust controllers, which are fully integrated with the SRP systems. In this work we have developed, modelled and analysed such integrated systems, specifically by examining two control schemes with open- and closed-loop controllers. The open loop scheme employs a genetic algorithm optimizing frequency in order to minimize fluctuations in a motor output power. This approach results in reducing the peak torque and consequently decreases the required motor rating by 20%. However, the scheme relies on a complex model of this electromechanical system, and it is computationally expensive. The second proposed scheme with a closed-loop control, the first of its kind for the SRP systems, is much faster and robust. It allows to reduce the motor rating by further 30% of that required in the open-loop scheme, which can save $246 M through choosing smaller motors and $39 M per year by reducing motor inner loss.

Suggested Citation

  • Li, Weicheng & Vaziri, Vahid & Aphale, Sumeet S. & Dong, Shimin & Wiercigroch, Marian, 2021. "Energy saving by reducing motor rating of sucker-rod pump systems," Energy, Elsevier, vol. 228(C).
  • Handle: RePEc:eee:energy:v:228:y:2021:i:c:s0360544221008677
    DOI: 10.1016/j.energy.2021.120618
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544221008677
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2021.120618?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. Cheng, Linsong & Liu, Hao & Huang, Shijun & Wu, Keliu & Chen, Xiao & Wang, Daigang & Xiong, Hao, 2018. "Environmental and economic benefits of Solvent-Assisted Steam-Gravity Drainage for bitumen through horizontal well: A comprehensive modeling analysis," Energy, Elsevier, vol. 164(C), pages 418-431.
    2. Weicheng Li & Shimin Dong & Xiurong Sun, 2018. "An Improved Sucker Rod Pumping System Model and Swabbing Parameters Optimized Design," Mathematical Problems in Engineering, Hindawi, vol. 2018, pages 1-15, October.
    3. Li, Yunhua & Liu, Mingsheng & Lau, Josephine & Zhang, Bei, 2015. "A novel method to determine the motor efficiency under variable speed operations and partial load conditions," Applied Energy, Elsevier, vol. 144(C), pages 234-240.
    4. Wang, Zhenjun & Xu, Yuanming, 2015. "Review on application of the recent new high-power ultrasonic transducers in enhanced oil recovery field in China," Energy, Elsevier, vol. 89(C), pages 259-267.
    5. Zhao, Yuechao & Zhang, Yuying & Lei, Xu & Zhang, Yi & Song, Yongchen, 2020. "CO2 flooding enhanced oil recovery evaluated using magnetic resonance imaging technique," Energy, Elsevier, vol. 203(C).
    6. Ashrafi, Omid & Navarri, Philippe & Hughes, Robin & Lu, Dennis, 2016. "Heat recovery optimization in a steam-assisted gravity drainage (SAGD) plant," Energy, Elsevier, vol. 111(C), pages 981-990.
    7. Zhang, Xian & Che, Hongchang, 2013. "Reducing heat loss of fluids in heavy oil wellbore using two-phase closed thermosyphon sucker rod," Energy, Elsevier, vol. 57(C), pages 352-358.
    8. Baghernezhad, Danial & Siavashi, Majid & Nakhaee, Ali, 2019. "Optimal scenario design of steam-assisted gravity drainage to enhance oil recovery with temperature and rate control," Energy, Elsevier, vol. 166(C), pages 610-623.
    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. Manickavel Baranidharan & Rassiah Raja Singh, 2022. "AI Energy Optimal Strategy on Variable Speed Drives for Multi-Parallel Aqua Pumping System," Energies, MDPI, vol. 15(12), pages 1-29, June.
    2. Biao Ma & Shimin Dong, 2023. "Coupling Simulation of Longitudinal Vibration of Rod String and Multi-Phase Pipe Flow in Wellbore and Research on Downhole Energy Efficiency," Energies, MDPI, vol. 16(13), pages 1-17, June.

    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. Wang, Sijia & Jiang, Lanlan & Cheng, Zucheng & Liu, Yu & Zhao, Jiafei & Song, Yongchen, 2021. "Experimental study on the CO2-decane displacement front behavior in high permeability sand evaluated by magnetic resonance imaging," Energy, Elsevier, vol. 217(C).
    2. Lei, Fei & Bai, Yingchun & Zhu, Wenhao & Liu, Jinhong, 2019. "A novel approach for electric powertrain optimization considering vehicle power performance, energy consumption and ride comfort," Energy, Elsevier, vol. 167(C), pages 1040-1050.
    3. Li, Jing & Zhang, Lisong & Yang, Feiyue & Sun, Luning, 2020. "Positive measure and potential implication for heavy oil recovery of dip reservoir using SAGD based on numerical analysis," Energy, Elsevier, vol. 193(C).
    4. Zhang, Lisong & Li, Jing & Sun, Luning & Yang, Feiyue, 2021. "An influence mechanism of shale barrier on heavy oil recovery using SAGD based on theoretical and numerical analysis," Energy, Elsevier, vol. 216(C).
    5. Hanamertani, Alvinda Sri & Ahmed, Shehzad, 2021. "Probing the role of associative polymer on scCO2-Foam strength and rheology enhancement in bulk and porous media for improving oil displacement efficiency," Energy, Elsevier, vol. 228(C).
    6. Ruan, Jiageng & Walker, Paul & Zhang, Nong, 2016. "A comparative study energy consumption and costs of battery electric vehicle transmissions," Applied Energy, Elsevier, vol. 165(C), pages 119-134.
    7. Wang, Hai & Wang, Haiying & Zhu, Tong & Deng, Wanli, 2017. "A novel model for steam transportation considering drainage loss in pipeline networks," Applied Energy, Elsevier, vol. 188(C), pages 178-189.
    8. Marek Turzyński & Michal Frivaldsky, 2020. "Modeling of a Quasi-Resonant DC Link Inverter Dedicated to Common-Mode Voltage and Ground Current Reduction," Energies, MDPI, vol. 13(19), pages 1-22, September.
    9. Elzbieta Szychta & Leszek Szychta, 2021. "Collective Losses of Low Power Cage Induction Motors—A New Approach," Energies, MDPI, vol. 14(6), pages 1-19, March.
    10. Hosain, Md Lokman & Bel Fdhila, Rebei & Rönnberg, Kristian, 2017. "Taylor-Couette flow and transient heat transfer inside the annulus air-gap of rotating electrical machines," Applied Energy, Elsevier, vol. 207(C), pages 624-633.
    11. Lyu, Chaohui & Zhong, Liguo & Wang, Qing & Zhang, Wei & Han, Xiaodong & Chen, Mingqiang & Zhu, Yu & Yang, Jiawang, 2023. "Core scale analysis of low viscosity oil injection in enhancing oil recovery of heavy oil reservoirs," Energy, Elsevier, vol. 275(C).
    12. Wang, Zhenjun & Gu, Simin, 2018. "State-of-the-art on the development of ultrasonic equipment and key problems of ultrasonic oil prudction technique for EOR in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2401-2407.
    13. Ma, Limin & Shang, Linlin & Zhong, Dan & Ji, Zhongli, 2017. "Experimental investigation of a two-phase closed thermosyphon charged with hydrocarbon and Freon refrigerants," Applied Energy, Elsevier, vol. 207(C), pages 665-673.
    14. Zhang, Tong & Tang, Ming & Ma, Yankun & Zhu, Guangpei & Zhang, Qinghe & Wu, Jun & Xie, Zhizheng, 2022. "Experimental study on CO2/Water flooding mechanism and oil recovery in ultralow - Permeability sandstone with online LF-NMR," Energy, Elsevier, vol. 252(C).
    15. Mir, Hamed & Siavashi, Majid, 2022. "Whole-time scenario optimization of steam-assisted gravity drainage (SAGD) with temperature, pressure, and rate control using an efficient hybrid optimization technique," Energy, Elsevier, vol. 239(PC).
    16. Yang, Renfeng & Jiang, Ruizhong & Guo, Sheng & Chen, Han & Tang, Shasha & Duan, Rui, 2021. "Analytical study on the Critical Water Cut for Water Plugging: Water cut increasing control and production enhancement," Energy, Elsevier, vol. 214(C).
    17. Alade, Olalekan S. & Mahmoud, Mohamed & Al Shehri, Dhafer & Mokheimer, Esmail M.A. & Sasaki, Kyuro & Ohashi, Ryo & Kamal, Muhammad Shahzad & Muhammad, Isah & Al-Nakhli, Ayman, 2022. "Experimental and numerical studies on production scheme to improve energy efficiency of bitumen production through insitu oil-in-water (O/W) emulsion," Energy, Elsevier, vol. 244(PA).
    18. Biao Ma & Shimin Dong, 2023. "Coupling Simulation of Longitudinal Vibration of Rod String and Multi-Phase Pipe Flow in Wellbore and Research on Downhole Energy Efficiency," Energies, MDPI, vol. 16(13), pages 1-17, June.
    19. Soiket, Md.I.H. & Oni, A.O. & Kumar, A., 2019. "The development of a process simulation model for energy consumption and greenhouse gas emissions of a vapor solvent-based oil sands extraction and recovery process," Energy, Elsevier, vol. 173(C), pages 799-808.
    20. Lei, Fei & Du, Bin & Liu, Xin & Xie, Xiaoping & Chai, Tian, 2016. "Optimization of an implicit constrained multi-physics system for motor wheels of electric vehicle," Energy, Elsevier, vol. 113(C), pages 980-990.

    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:228:y:2021:i:c:s0360544221008677. 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.