Issue |
E3S Web of Conf.
Volume 479, 2024
International Seminar of Science and Applied Technology: Natural Resources Management for Environmental Sustainability (ISSAT 2023)
|
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Article Number | 01007 | |
Number of page(s) | 9 | |
Section | Energy Engineering | |
DOI | https://doi.org/10.1051/e3sconf/202447901007 | |
Published online | 18 January 2024 |
Experimental analysis of transformer efficiency in relation to load resistance
Politeknik Negeri Bandung, Bandung, Indonesia
* Corresponding author: defrianto.pratama@polban.ac.id
Transformers play a pivotal role in the distribution of electrical energy, particularly in electronic devices. Load resistance significantly influences transformer efficiency. This study employs an experimental methodology with the objective of assessing the congruence between experimental data analysis and theoretical calculations. The experimental setup involves testing a step-up transformer characterized by the following primary coil specifications: Np (number of turns) = 500, rp (resistance) = 2.5 Ω, Lp (self-inductance) = 9 mH, and secondary coil specifications: Ns (number of turns) = 1000, rs (resistance) = 9.5 Ω, Ls (self-inductance) = 36 mH. Load resistance (R) is varied within the range of 10 to 500 Ω. The outcomes reveal a progressive enhancement in transformer efficiency with the increasing load, up to 300 Ω, after which efficiency experiences a decline. In the case of a step-down transformer, possessing identical specifications as the step-up variant, efficiency displays an analogous pattern of augmentation with load resistance up to 80 Ω, beyond which it diminishes. Furthermore, the Root Mean Square Error (RMSE) for the step-up transformer stands at 0.0012, with an R-square (R2) value of 0.99. Similarly, for the step-down transformer, RMSE registers at 0.0060, accompanied by an R-square (R2) of 0.99. These findings affirm the exceptional adequacy of the employed theory in elucidating the intricate interplay between transformer efficiency and load resistance.
© The Authors, published by EDP Sciences, 2024
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.
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