IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i20p7136-d1262372.html
   My bibliography  Save this article

Energy Efficiency of Induction Motor Drives: State of the Art, Analysis and Recommendations

Author

Listed:
  • Plamena Dinolova

    (Department of Electrical Power Engineering, University of Ruse, 7017 Ruse, Bulgaria)

  • Vyara Ruseva

    (Department of Electrical Power Engineering, University of Ruse, 7017 Ruse, Bulgaria)

  • Ognyan Dinolov

    (Department of Electrical Power Engineering, University of Ruse, 7017 Ruse, Bulgaria)

Abstract

Despite activities to introduce low-carbon energy sources worldwide, the share of conventional facilities burning organic fuels remains high. One approach to address this problem is to look for solutions to reduce energy consumption. There are various research projects in the area of energy efficiency that lead to diverse results—such as models, methodologies, new data and theories. On the other hand, induction motor drives are becoming a major consumer of electric power because of their wide range of applications. In this paper, after careful selection and systematization of 151 literature sources, an extensive study and criteria analysis of the existing state of affairs in the area of energy efficiency improvement of induction motor drives has been carried out. Five major and 48 minor research areas in this field have been identified. The results show that issues related to the adaptation of scientific results and the conditions for their effective and wide-ranging application in practice have not been discussed and investigated so far. Adaptation should take into account the possibilities of data acquisition, including data from measurements; the competences of energy managers; and the type of information provided to them. Based on the seven conclusions formulated below, summary recommendations are made to direct future research towards the justification of models for increasing the power efficiency of induction drives, adapted for use by energy managers.

Suggested Citation

  • Plamena Dinolova & Vyara Ruseva & Ognyan Dinolov, 2023. "Energy Efficiency of Induction Motor Drives: State of the Art, Analysis and Recommendations," Energies, MDPI, vol. 16(20), pages 1-26, October.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:20:p:7136-:d:1262372
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/20/7136/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/16/20/7136/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Manfren, Massimiliano & Nastasi, Benedetto & Groppi, Daniele & Astiaso Garcia, Davide, 2020. "Open data and energy analytics - An analysis of essential information for energy system planning, design and operation," Energy, Elsevier, vol. 213(C).
    2. 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.
    3. Jonathan Muñoz Tabora & Maria Emília de Lima Tostes & Edson Ortiz de Matos & Thiago Mota Soares & Ubiratan Holanda Bezerra, 2020. "Voltage Harmonic Impacts on Electric Motors: A Comparison between IE2, IE3 and IE4 Induction Motor Classes," Energies, MDPI, vol. 13(13), pages 1-18, June.
    4. Shang, Zhendong & Gao, Dong & Jiang, Zhipeng & Lu, Yong, 2019. "Towards less energy intensive heavy-duty machine tools: Power consumption characteristics and energy-saving strategies," Energy, Elsevier, vol. 178(C), pages 263-276.
    5. 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.
    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. Ajithanjaya Kumar Mijar Kanakabettu & Rajkiran Ballal Irvathoor & Sanath Saralaya & Sathyendra Bhat Jodumutt & Athokpam Bikramjit Singh, 2024. "Novel Advanced Artificial Neural Network-Based Online Stator and Rotor Resistance Estimator for Vector-Controlled Speed Sensorless Induction Motor Drives," Energies, MDPI, vol. 17(9), pages 1-30, April.

    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. Mitsuhide Sato & Keigo Takazawa & Manabu Horiuchi & Ryoken Masuda & Ryo Yoshida & Masami Nirei & Yinggang Bu & Tsutomu Mizuno, 2020. "Reducing Rotor Temperature Rise in Concentrated Winding Motor by Using Magnetic Powder Mixed Resin Ring," Energies, MDPI, vol. 13(24), pages 1-15, December.
    2. Wang, Jinling & Tian, Yebing & Hu, Xintao & Han, Jinguo & Liu, Bing, 2023. "Integrated assessment and optimization of dual environment and production drivers in grinding," Energy, Elsevier, vol. 272(C).
    3. Jessica Walther & Matthias Weigold, 2021. "A Systematic Review on Predicting and Forecasting the Electrical Energy Consumption in the Manufacturing Industry," Energies, MDPI, vol. 14(4), pages 1-24, February.
    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. Hettinga, Sanne & van ’t Veer, Rein & Boter, Jaap, 2023. "Large scale energy labelling with models: The EU TABULA model versus machine learning with open data," Energy, Elsevier, vol. 264(C).
    6. Xiao, Qinge & Li, Congbo & Tang, Ying & Pan, Jian & Yu, Jun & Chen, Xingzheng, 2019. "Multi-component energy modeling and optimization for sustainable dry gear hobbing," Energy, Elsevier, vol. 187(C).
    7. Dongqing Sun & Fanzhi Wang & Nanxu Chen & Jing Chen, 2021. "The Impacts of Technology Shocks on Sustainable Development from the Perspective of Energy Structure—A DSGE Model Approach," Sustainability, MDPI, vol. 13(15), pages 1-20, August.
    8. Hilario J. Torres-Herrera & Alexis Lozano-Medina, 2021. "Methodological Proposal for the Assessment Potential of Pumped Hydropower Energy Storage: Case of Gran Canaria Island," Energies, MDPI, vol. 14(12), pages 1-27, June.
    9. Hong, Yejin & Yoon, Sungmin & Choi, Sebin, 2023. "Operational signature-based symbolic hierarchical clustering for building energy, operation, and efficiency towards carbon neutrality," Energy, Elsevier, vol. 265(C).
    10. Zhang Deng & Yixing Chen & Xiao Pan & Zhiwen Peng & Jingjing Yang, 2021. "Integrating GIS-Based Point of Interest and Community Boundary Datasets for Urban Building Energy Modeling," Energies, MDPI, vol. 14(4), pages 1-17, February.
    11. Manfren, Massimiliano & Nastasi, Benedetto, 2023. "Interpretable data-driven building load profiles modelling for Measurement and Verification 2.0," Energy, Elsevier, vol. 283(C).
    12. Sofia Agostinelli & Fabrizio Cumo & Meysam Majidi Nezhad & Giuseppe Orsini & Giuseppe Piras, 2022. "Renewable Energy System Controlled by Open-Source Tools and Digital Twin Model: Zero Energy Port Area in Italy," Energies, MDPI, vol. 15(5), pages 1-24, March.
    13. Cai, Wei & Wang, Lianguo & Li, Li & Xie, Jun & Jia, Shun & Zhang, Xugang & Jiang, Zhigang & Lai, Kee-hung, 2022. "A review on methods of energy performance improvement towards sustainable manufacturing from perspectives of energy monitoring, evaluation, optimization and benchmarking," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
    14. Benjie Li & Hualin Zheng & Xiao Yang & Liang Guo & Binglin Li, 2020. "Energy Optimization for Motorized Spindle System of Machine Tools under Minimum Thermal Effects and Maximum Productivity Constraints," Energies, MDPI, vol. 13(22), pages 1-17, November.
    15. Plazas-Niño, F.A. & Ortiz-Pimiento, N.R. & Montes-Páez, E.G., 2022. "National energy system optimization modelling for decarbonization pathways analysis: A systematic literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
    16. Kristian Skeie & Arild Gustavsen, 2021. "Utilising Open Geospatial Data to Refine Weather Variables for Building Energy Performance Evaluation—Incident Solar Radiation and Wind-Driven Infiltration Modelling," Energies, MDPI, vol. 14(4), pages 1-32, February.
    17. Artvin-Darien Gonzalez-Abreu & Roque-Alfredo Osornio-Rios & Arturo-Yosimar Jaen-Cuellar & Miguel Delgado-Prieto & Jose-Alfonso Antonino-Daviu & Athanasios Karlis, 2022. "Advances in Power Quality Analysis Techniques for Electrical Machines and Drives: A Review," Energies, MDPI, vol. 15(5), pages 1-26, March.
    18. Tanja Dergan & Aneta Ivanovska & Tina Kocjančič & Pietro P. M. Iannetta & Marko Debeljak, 2022. "‘Multi-SWOT’ Multi-Stakeholder-Based Sustainability Assessment Methodology: Applied to Improve Slovenian Legume-Based Agri-Food Chains," Sustainability, MDPI, vol. 14(22), pages 1-26, November.
    19. Xianfeng Wu & Shuli Liu & Ashish Shukla, 2020. "Serious Games as an Engaging Medium on Building Energy Consumption: A Review of Trends, Categories and Approaches," Sustainability, MDPI, vol. 12(20), pages 1-16, October.
    20. Alexey I. Shinkevich & Tatiana V. Malysheva & Yulia V. Vertakova & Vladimir A. Plotnikov, 2021. "Optimization of Energy Consumption in Chemical Production Based on Descriptive Analytics and Neural Network Modeling," Mathematics, MDPI, vol. 9(4), pages 1-20, February.

    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:16:y:2023:i:20:p:7136-:d:1262372. 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.