Experimental comparison of air, oil, and liquid nitrogen cooling media on the efficiency of a single-phase transformer

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Authors: Heri Nugraha, Agung Imaduddin, Eka Rakhman Priandana, Asep Dadan Hermawan, Nono Darsono, Andika Widya Pramono, Adi Noer Syahid, Sudirman Palaloi, Satrio Herbirowo, Hendrik Hendrik
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Abstract

Transformers are critical component in electric power system, where minimizing energy losses is essential for efficiency and reliability. While ideal transformers operate with zero losses, practical transformers dissipate energy through winding and core losses caused by resistive heating. This study investigates the impact of three cooling media with ambient air, mineral oil, and liquid nitrogen on the efficiency and thermal performance of a 1 kVA single phase copper wound transformer. The experiment applied a resistive load under each cooling condition, recording input and output parameters using a HIOKI power meter model PW3360. Thermal behavior was monitored using infrared thermography and thermocouples. Copper winding resistivity was evaluated using a four-point probe within a cryogenic magnet system. The results show that liquid nitrogen cooling significantly reduced copper resistivity due to low-temperature conditions, achieving a transformer efficiency of 89.9%. Oil cooling improved efficiency to 86.0%, compared to 80.7% with air cooling. Although liquid nitrogen provided the greatest efficiency enhancement, its practical use is limited due to handling complexity and cost. In contrast, oil cooling offers a more feasible and effective solution for improving transformer performance in real world applications. These finding provide valuable insight for optimizing transformer thermal management strategies in power systems.

Fields of Study & Subjects

Power Transformer Diagnostics and Insulation Magnetic Properties and Applications Heat Transfer and Optimization

Publication details

Journal / source
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering
Volume
16
Issue
1
Pages
25–25
Publication date
17 January 2026