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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. 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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