IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v17y2024i10p2280-d1391098.html
   My bibliography  Save this article

Optimal Rotor Design and Analysis of Energy-Efficient Brushless DC Motor-Driven Centrifugal Monoset Pump for Agriculture Applications

Author

Listed:
  • Richard Pravin Antony

    (Department of Electrical and Electronics Engineering, SRM Institute of Science and Technology, Kattankulathur 603 203, India)

  • Pongiannan Rakkiya Goundar Komarasamy

    (Department of Computing Technologies, SRM Institute of Science and Technology, Kattankulathur 603 203, India)

  • Narayanamoorthi Rajamanickam

    (Department of Electrical and Electronics Engineering, SRM Institute of Science and Technology, Kattankulathur 603 203, India)

  • Roobaea Alroobaea

    (Department of Computer Science, College of Computers and Information Technology, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia)

  • Yasser Aboelmagd

    (College of Engineering, University of Business and Technology, Jeddah 23435, Saudi Arabia)

Abstract

The agricultural sector emphasizes sustainable development and energy efficiency, particularly in optimizing water pumping systems for irrigation. Brushless DC (BLDC) motors are the preferred prime mover over induction motors due to their high efficiency in such applications. This article details the rotor design and analysis of an energy-efficient BLDC motor with specifications of 1 hp, 3000 rpm, and 48 V, specifically tailored for a centrifugal monoset pump for irrigation. The focus lies in achieving optimal energy efficiency through grey wolf optimization (GWO) algorithm in the rotor design to determine optimal dimensions of the Neodymium Iron Boron (NdFeB) magnet as well as its grade. The finite element method analysis software, MagNet, is used to model and analyze the BLDC motor. The motor parameters, such as speed, torque, flux functions, temperature, and efficiency, are analyzed. For performance comparison, the same model with different magnet models is also analyzed. Validation via 3D finite element analysis highlights improvements in magnet flux linkage, stator tooth flux density, and rotor inertia with increased magnet thickness. Simulation results affirm the consistent performance of the designed BLDC motor, preferably when efficiency is increased. This efficiency and the constant speed lead to an improvement in the overall conversion efficiency of 7% within its operating range, affirming that the motor pump system is energy-efficient.

Suggested Citation

  • Richard Pravin Antony & Pongiannan Rakkiya Goundar Komarasamy & Narayanamoorthi Rajamanickam & Roobaea Alroobaea & Yasser Aboelmagd, 2024. "Optimal Rotor Design and Analysis of Energy-Efficient Brushless DC Motor-Driven Centrifugal Monoset Pump for Agriculture Applications," Energies, MDPI, vol. 17(10), pages 1-17, May.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:10:p:2280-:d:1391098
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/17/10/2280/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/17/10/2280/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Suresh Panchanathan & Pradeep Vishnuram & Narayanamoorthi Rajamanickam & Mohit Bajaj & Vojtech Blazek & Lukas Prokop & Stanislav Misak, 2023. "A Comprehensive Review of the Bidirectional Converter Topologies for the Vehicle-to-Grid System," Energies, MDPI, vol. 16(5), pages 1-33, March.
    2. Pradeep Vishnuram & Suresh P. & Narayanamoorthi R. & Vijayakumar K. & Benedetto Nastasi, 2023. "Wireless Chargers for Electric Vehicle: A Systematic Review on Converter Topologies, Environmental Assessment, and Review Policy," Energies, MDPI, vol. 16(4), pages 1-18, February.
    3. Fei, Mingda & Zhang, Zhenyu & Zhao, Wenbo & Zhang, Peng & Xing, Zhaolin, 2024. "Optimal power distribution control in modular power architecture using hydraulic free piston engines," Applied Energy, Elsevier, vol. 358(C).
    4. Aleksey Paramonov & Safarbek Oshurbekov & Vadim Kazakbaev & Vladimir Prakht & Vladimir Dmitrievskii, 2023. "Investigation of the Effect of the Voltage Drop and Cable Length on the Success of Starting the Line-Start Permanent Magnet Motor in the Drive of a Centrifugal Pump Unit," Mathematics, MDPI, vol. 11(3), pages 1-18, January.
    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. Zhao, Tengfei & Ahmad, Sayed Fayaz & Agrawal, Manoj Kumar & Ahmad Bani Ahmad, Ahmad Yahiya & Ghfar, Ayman A. & Valsalan, Prajoona & Shah, Nehad Ali & Gao, Xiaomin, 2024. "Design and thermo-enviro-economic analyses of a novel thermal design process for a CCHP-desalination application using LNG regasification integrated with a gas turbine power plant," Energy, Elsevier, vol. 295(C).
    2. Ben Ali, Naim & Basem, Ali & Ghodratallah, Pooya & Singh, Pradeep Kumar & jasim, Dheyaa J. & Sultan, Abbas J. & Eladeb, Aboulbaba & Kolsi, Lioua & El-Shafay, A.S., 2024. "The usage of non-aligned multi-circular winding injectors for efficient fuel mixing inside the scramjet engine," Energy, Elsevier, vol. 298(C).
    3. Pradeep Vishnuram & Suresh Panchanathan & Narayanamoorthi Rajamanickam & Vijayakumar Krishnasamy & Mohit Bajaj & Marian Piecha & Vojtech Blazek & Lukas Prokop, 2023. "Review of Wireless Charging System: Magnetic Materials, Coil Configurations, Challenges, and Future Perspectives," Energies, MDPI, vol. 16(10), pages 1-31, May.
    4. Weiqi Pan & Xiaorong Yu & Zishan Guo & Tao Qian & Yang Li, 2024. "Online EVs Vehicle-to-Grid Scheduling Coordinated with Multi-Energy Microgrids: A Deep Reinforcement Learning-Based Approach," Energies, MDPI, vol. 17(11), pages 1-20, May.
    5. Moon-Jong Jang & Eunsung Oh, 2024. "Deep-Reinforcement-Learning-Based Vehicle-to-Grid Operation Strategies for Managing Solar Power Generation Forecast Errors," Sustainability, MDPI, vol. 16(9), pages 1-18, May.
    6. Grmay Yordanos Brhane & Eunsung Oh & Sung-Yong Son, 2024. "Virtual Energy Storage System Scheduling for Commercial Buildings with Fixed and Dynamic Energy Storage," Energies, MDPI, vol. 17(13), pages 1-19, July.
    7. Wojciech Szelag & Cezary Jedryczka & Mariusz Baranski, 2024. "A New Method of Reducing the Inrush Current and Improving the Starting Performance of a Line-Start Permanent-Magnet Synchronous Motor," Energies, MDPI, vol. 17(5), pages 1-20, February.
    8. Wei, Dechen & Jiao, Yuanyuan & Zhang, Ning & Gao, Hongyang & Yu, Hao, 2024. "The role of annular 2-lobe nozzle in a strut injection system on the mechanism of fuel distribution at a scramjet engine," Energy, Elsevier, vol. 301(C).
    9. James Deva Koresh Hezekiah & Karnam Chandrakumar Ramya & Sathya Bama Krishna Radhakrishnan & Vishnu Murthy Kumarasamy & Malathi Devendran & Avudaiammal Ramalingam & Rajagopal Maheswar, 2023. "Review of Next-Generation Wireless Devices with Self-Energy Harvesting for Sustainability Improvement," Energies, MDPI, vol. 16(13), pages 1-15, July.
    10. Jie Mei & Ka Wai Eric Cheng & Teke Hua, 2024. "Analysis, Design and Effectuation of a Tapped Inductor Current Converter with Fractional Output for Current Source Systems," Energies, MDPI, vol. 17(9), pages 1-13, May.
    11. Pabba Ramesh & Pongiannan Rakkiya Goundar Komarasamy & Narayanamoorthi Rajamanickam & Yahya Z. Alharthi & Ali Elrashidi & Waleed Nureldeen, 2024. "A Comprehensive Review on Control Technique and Socio-Economic Analysis for Sustainable Dynamic Wireless Charging Applications," Sustainability, MDPI, vol. 16(15), pages 1-42, July.
    12. Tan, Hua & Bo, Likang & Nutakki, Tirumala Uday Kumar & Agrawal, Manoj Kumar & Seikh, Asiful H. & Tahir Chauhdary, Sohaib & Shah, Nehad Ali & Ji, Tiancheng, 2024. "A comprehensive multi-variable approach for evaluating the feasibility of integration a novel heat recovery model into a gas turbine power plant, producing electricity, heat, and methanol," Energy, Elsevier, vol. 296(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:17:y:2024:i:10:p:2280-:d:1391098. 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.