| Issue |
E3S Web Conf.
Volume 638, 2025
International Conference on Electronics, Engineering Physics and Earth Science (EEPES 2025)
|
|
|---|---|---|
| Article Number | 01016 | |
| Number of page(s) | 11 | |
| Section | Energy Efficiency and Applied Thermodynamics | |
| DOI | https://doi.org/10.1051/e3sconf/202563801016 | |
| Published online | 16 July 2025 | |
Experimental research on improving the energy efficiency of industrial-site induction motor drives
University of Ruse, Department of Electrical Power Engineering, 7017 Ruse, Bulgaria
* Corresponding author: pdinolova@uni-ruse.bg
This study presents the results of comprehensive experimental research aimed at validating the functionality and practical applicability of a developed theoretical model for improving the energy efficiency of industrial induction motor drives. A non-contact measurement methodology was employed to collect 312 new data points from 13 statistical samples across eight actual operating modes and five no-load modes. The data were statistically analysed using point estimations, confidence intervals, and distribution characteristics. The study examined three energy-saving measures: increasing motor load, replacing oversized motors, and using high-efficiency motors. The experimental results identified Measure 1 (increasing motor load) as the most effective, with an average predicted annual saving of 3684 kWh, followed by Measure 3 (821 kWh) and Measure 2, which proved useful only in limited cases. The findings confirm that the developed adapted theoretical model is operable and applicable in real production environments for energy efficiency optimization.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.