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Design of IOT-Based Framework for Evaluation of Energy Efficiency in Power Transformers

Author

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  • Mantas Plienis

    (Department of Electric Power Systems, Kaunas University of Technology, Studentu Str. 48, LT-51367 Kaunas, Lithuania)

  • Tomas Deveikis

    (Department of Electric Power Systems, Kaunas University of Technology, Studentu Str. 48, LT-51367 Kaunas, Lithuania)

  • Audrius Jonaitis

    (Department of Electric Power Systems, Kaunas University of Technology, Studentu Str. 48, LT-51367 Kaunas, Lithuania)

  • Saulius Gudžius

    (Department of Electric Power Systems, Kaunas University of Technology, Studentu Str. 48, LT-51367 Kaunas, Lithuania)

Abstract

Two prototypes with energy efficiency calculations have been developed to enable real-time efficiency assessment and data collection. The results of the experiment demonstrate that the use of microprocessor technology and the Internet of Things can significantly improve the efficiency and accuracy of energy audits in power transformers. The prototypes developed in this study provide real-time efficiency assessment and data collection, enabling more effective energy management and cost savings for industrial users. During the experiment, it was found that resonance can cause the same losses as a poor power factor of the system, highlighting the importance of addressing energy quality issues in addition to energy efficiency. These findings have important implications for energy efficiency policies and practices in the context of climate change mitigation and rising energy prices.

Suggested Citation

  • Mantas Plienis & Tomas Deveikis & Audrius Jonaitis & Saulius Gudžius, 2023. "Design of IOT-Based Framework for Evaluation of Energy Efficiency in Power Transformers," Energies, MDPI, vol. 16(11), pages 1-15, May.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:11:p:4358-:d:1157139
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    References listed on IDEAS

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    1. Thirugnanasambandam, M. & Hasanuzzaman, M. & Saidur, R. & Ali, M.B. & Rajakarunakaran, S. & Devaraj, D. & Rahim, N.A., 2011. "Analysis of electrical motors load factors and energy savings in an Indian cement industry," Energy, Elsevier, vol. 36(7), pages 4307-4314.
    2. Adedayo Owosuhi & Yskandar Hamam & Josiah Munda, 2023. "Maximizing the Integration of a Battery Energy Storage System–Photovoltaic Distributed Generation for Power System Harmonic Reduction: An Overview," Energies, MDPI, vol. 16(6), pages 1-22, March.
    3. Agata Pomykala & Adam Szelag, 2022. "Reduction of Power Consumption and CO 2 Emissions as a Result of Putting into Service High-Speed Trains: Polish Case," Energies, MDPI, vol. 15(12), pages 1-24, June.
    4. Hu, Wei & Guo, Qiuting & Wang, Wei & Wang, Weiheng & Song, Shuhong, 2022. "Loss reduction strategy and evaluation system based on reasonable line loss interval of transformer area," Applied Energy, Elsevier, vol. 306(PB).
    5. Daniel Shaked & Eldad Holdengreber, 2022. "Efficiency Improvement of an Electric-Grid Transformer Using the Diamagnetism Characteristics of a Bulk Superconductor," Energies, MDPI, vol. 15(19), pages 1-12, September.
    6. Tehseen Akhtar & Asif Ur Rehman & Mohsin Jamil & Syed Omer Gilani, 2020. "Impact of an Energy Monitoring System on the Energy Efficiency of an Automobile Factory: A Case Study," Energies, MDPI, vol. 13(10), pages 1-20, May.
    7. Maria Dems & Krzysztof Komeza & Jacek Szulakowski & Witold Kubiak, 2022. "Increase the Efficiency of an Induction Motor Feed from Inverter for Low Frequencies by Combining Design and Control Improvements," Energies, MDPI, vol. 15(2), pages 1-17, January.
    8. 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.
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    1. Mantas Plienis & Tomas Deveikis & Audrius Jonaitis & Saulius Gudžius & Inga Konstantinavičiūtė & Donata Putnaitė, 2023. "Improved Methodology for Power Transformer Loss Evaluation: Algorithm Refinement and Resonance Risk Analysis," Energies, MDPI, vol. 16(23), pages 1-16, November.

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