IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v303y2024ics0360544224017869.html
   My bibliography  Save this article

Evaluation of the energy saving potential in electric motors applying a load-based voltage control method

Author

Listed:
  • Sousa Santos, Vladimir
  • Cabello Eras, Juan J.
  • Cabello Ulloa, Mario J.

Abstract

This paper studies the viability of energy savings in electric motors by adjusting the voltage according to load in motors that operate under significant load variations during their work cycles. The laboratory test program used a 1.1 kW electric motor to compare its measured efficiency operating without voltage control with the load-based voltage control method results. A neural network was developed, and a time series generator was used to model the motor and estimate the results of applying the method in its useful life in the load behavior of three operating regimes. The results show an energy saving potential of 2 %–5.2 % using the load-based voltage control method in motors operating with a load factor of less than 40 % during the simulated motor life cycle for the three operating regimes. Also, the economic feasibility of implementing the load-based voltage control method was evaluated on three industrial electric motors. Results indicated potential annual savings between $1227 and USD 1,549, with a projected investment payback period of less than three and a half years.

Suggested Citation

  • Sousa Santos, Vladimir & Cabello Eras, Juan J. & Cabello Ulloa, Mario J., 2024. "Evaluation of the energy saving potential in electric motors applying a load-based voltage control method," Energy, Elsevier, vol. 303(C).
    • Handle: RePEc:eee:energy:v:303:y:2024:i:c:s0360544224017869
    DOI: 10.1016/j.energy.2024.132012
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544224017869
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2024.132012?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. De Almeida, A. & Fong, J. & Brunner, C.U. & Werle, R. & Van Werkhoven, M., 2019. "New technology trends and policy needs in energy efficient motor systems - A major opportunity for energy and carbon savings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 115(C).
    2. Habib, Mohammad Ahsan & Hasanuzzaman, M. & Hosenuzzaman, M. & Salman, Asif & Mehadi, Md Riyad, 2016. "Energy consumption, energy saving and emission reduction of a garment industrial building in Bangladesh," Energy, Elsevier, vol. 112(C), pages 91-100.
    3. Zuberi, M. Jibran S. & Tijdink, Anton & Patel, Martin K., 2017. "Techno-economic analysis of energy efficiency improvement in electric motor driven systems in Swiss industry," Applied Energy, Elsevier, vol. 205(C), pages 85-104.
    4. Gebhard Kirchgässner & Jürgen Wolters & Uwe Hassler, 2013. "Introduction to Modern Time Series Analysis," Springer Texts in Business and Economics, Springer, edition 2, number 978-3-642-33436-8, December.
    5. Victor A. Alcal Abraham & Elkin D. Alem n Causil & Vladimir Sousa Santos & Eliana Noriega Angarita & Julio R. G mez Sarduy, 2021. "Identification of Savings Opportunities in a Steel Manufacturing Industry," International Journal of Energy Economics and Policy, Econjournals, vol. 11(4), pages 43-50.
    6. Prince, & Hati, Ananda Shankar, 2021. "A comprehensive review of energy-efficiency of ventilation system using Artificial Intelligence," Renewable and Sustainable Energy Reviews, Elsevier, vol. 146(C).
    7. Paul Waide & Conrad U. Brunner, 2011. "Energy-Efficiency Policy Opportunities for Electric Motor-Driven Systems," IEA Energy Papers 2011/7, OECD Publishing.
    8. Sánchez, Gustavo Crespo & Monteagudo Yanes, José Pedro & Pérez, Milagros Montesino & Cabrera Sánchez, Jorge Luis & Padrón, Arturo Padrón & Haeseldonckx, Dries, 2020. "Efficiency in electromechanical drive motors and energy performance indicators for implementing a management system in balanced animal feed manufacturing," Energy, Elsevier, vol. 194(C).
    9. Chuang, Ho-Chiao & Li, Guan-De & Lee, Chen-Ta, 2019. "The efficiency improvement of AC induction motor with constant frequency technology," Energy, Elsevier, vol. 174(C), pages 805-813.
    10. Gómez, Julio R. & Sousa, Vladimir & Cabello Eras, Juan J. & Sagastume Gutiérrez, Alexis & Viego, Percy R. & Quispe, Enrique C. & de León, Gabriel, 2022. "Assessment criteria of the feasibility of replacement standard efficiency electric motors with high-efficiency motors," Energy, Elsevier, vol. 239(PA).
    11. Marcin Kaminski, 2020. "Nature-Inspired Algorithm Implemented for Stable Radial Basis Function Neural Controller of Electric Drive with Induction Motor," Energies, MDPI, vol. 13(24), pages 1-25, December.
    12. Paramonova, Svetlana & Nehler, Therese & Thollander, Patrik, 2021. "Technological change or process innovation – An empirical study of implemented energy efficiency measures from a Swedish industrial voluntary agreements program," Energy Policy, Elsevier, vol. 156(C).
    13. Saidur, R., 2010. "A review on electrical motors energy use and energy savings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(3), pages 877-898, April.
    14. Trianni, Andrea & Cagno, Enrico & Accordini, Davide, 2019. "Energy efficiency measures in electric motors systems: A novel classification highlighting specific implications in their adoption," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
    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. Gómez, Julio R. & Sousa, Vladimir & Cabello Eras, Juan J. & Sagastume Gutiérrez, Alexis & Viego, Percy R. & Quispe, Enrique C. & de León, Gabriel, 2022. "Assessment criteria of the feasibility of replacement standard efficiency electric motors with high-efficiency motors," Energy, Elsevier, vol. 239(PA).
    2. Julio R. Gómez & Enrique C. Quispe & Rosaura del Pilar Castrillón & Percy R. Viego, 2020. "Identification of Technoeconomic Opportunities with the Use of Premium Efficiency Motors as Alternative for Developing Countries," Energies, MDPI, vol. 13(20), pages 1-16, October.
    3. Accordini, D. & Cagno, E. & Trianni, A., 2021. "Identification and characterization of decision-making factors over industrial energy efficiency measures in electric motor systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 149(C).
    4. Anibal T. de Almeida & Fernando J. T. E. Ferreira & João Fong, 2023. "Perspectives on Electric Motor Market Transformation for a Net Zero Carbon Economy," Energies, MDPI, vol. 16(3), pages 1-16, January.
    5. Paramonova, Svetlana & Nehler, Therese & Thollander, Patrik, 2021. "Technological change or process innovation – An empirical study of implemented energy efficiency measures from a Swedish industrial voluntary agreements program," Energy Policy, Elsevier, vol. 156(C).
    6. Danilo Ferreira de Souza & Francisco Antônio Marino Salotti & Ildo Luís Sauer & Hédio Tatizawa & Aníbal Traça de Almeida & Arnaldo Gakiya Kanashiro, 2022. "A Performance Evaluation of Three-Phase Induction Electric Motors between 1945 and 2020," Energies, MDPI, vol. 15(6), pages 1-31, March.
    7. Prince, & Hati, Ananda Shankar, 2021. "A comprehensive review of energy-efficiency of ventilation system using Artificial Intelligence," Renewable and Sustainable Energy Reviews, Elsevier, vol. 146(C).
    8. Boscariol, Paolo & Richiedei, Dario, 2022. "Energy optimal design of servo-actuated systems: A concurrent approach based on scaling rules," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).
    9. Trianni, Andrea & Cagno, Enrico & Accordini, Davide, 2019. "Energy efficiency measures in electric motors systems: A novel classification highlighting specific implications in their adoption," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
    10. Bortoni, Edson C. & Magalhães, Leonardo P. & Nogueira, Luiz A.H. & Bajay, Sérgio V. & Cassula, Agnelo M., 2020. "An assessment of energy efficient motors application by scenarios evaluation," Energy Policy, Elsevier, vol. 140(C).
    11. Sauer, Ildo L. & Tatizawa, Hédio & Salotti, Francisco A.M. & Mercedes, Sonia S., 2015. "A comparative assessment of Brazilian electric motors performance with minimum efficiency standards," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 308-318.
    12. Fábio de Oliveira Neves & Henrique Ewbank & José Arnaldo Frutuoso Roveda & Andrea Trianni & Fernando Pinhabel Marafão & Sandra Regina Monteiro Masalskiene Roveda, 2022. "Economic and Production-Related Implications for Industrial Energy Efficiency: A Logistic Regression Analysis on Cross-Cutting Technologies," Energies, MDPI, vol. 15(4), pages 1-19, February.
    13. Gang Lei & Jianguo Zhu & Youguang Guo & Chengcheng Liu & Bo Ma, 2017. "A Review of Design Optimization Methods for Electrical Machines," Energies, MDPI, vol. 10(12), pages 1-31, November.
    14. 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.
    15. Zuberi, M. Jibran S. & Bless, Frédéric & Chambers, Jonathan & Arpagaus, Cordin & Bertsch, Stefan S. & Patel, Martin K., 2018. "Excess heat recovery: An invisible energy resource for the Swiss industry sector," Applied Energy, Elsevier, vol. 228(C), pages 390-408.
    16. Zuberi, M. Jibran S. & Tijdink, Anton & Patel, Martin K., 2017. "Techno-economic analysis of energy efficiency improvement in electric motor driven systems in Swiss industry," Applied Energy, Elsevier, vol. 205(C), pages 85-104.
    17. Danilo Ferreira de Souza & Emeli Lalesca Aparecida da Guarda & Ildo Luis Sauer & Hédio Tatizawa, 2021. "Energy Efficiency Indicators for Water Pumping Systems in Multifamily Buildings," Energies, MDPI, vol. 14(21), pages 1-13, November.
    18. Islam, Md. Shafiqul & Al-Amin, Abul Quasem & Sarkar, Md. Sujahangir Kabir, 2021. "Energy crisis in Bangladesh: Challenges, progress, and prospects for alternative energy resources," Utilities Policy, Elsevier, vol. 71(C).
    19. Burgos Payán, Manuel & Roldan Fernandez, Juan Manuel & Maza Ortega, Jose Maria & Riquelme Santos, Jesus Manuel, 2019. "Techno-economic optimal power rating of induction motors," Applied Energy, Elsevier, vol. 240(C), pages 1031-1048.
    20. Marian Piwowarski & Damian Jakowski, 2023. "Areas of Fan Research—A Review of the Literature in Terms of Improving Operating Efficiency and Reducing Noise Emissions," Energies, MDPI, vol. 16(3), pages 1-28, January.

    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:303:y:2024:i:c:s0360544224017869. 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.