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Industrial, Tools & Engineering

Dry-type transformer

Entrant: Kechang Electric Co., Ltd.

2026 Gold winner badge
2026

Gold

CategoryIndustrial, Tools & Engineering
Class / SubcategoryIndustrial Equipment, Machinery & Automation
Dry-type transformer
Country / RegionChina
Client’s nameHebei Agricultural University

The project

Project description.

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This dry‑type transformer departs from the uninviting, bulky image that conventional power equipment is often associated with, striking an optimal balance among safety, environmental responsibility, operational efficiency, and forward‑looking aesthetics.

Visually, it features a lightweight and inviting form, with a classic black‑and‑white primary palette accented by vibrant functional colors—red, yellow, and green—creating a clean, forward‑looking presence that makes the color coding immediately clear. The air cooling system is ingeniously integrated into the base, guiding airflow upward from directly beneath the core, through the coil gaps, to establish an efficient thermal circulation. The highly modular architecture not only ensures superior heat dissipation and energy efficiency, but also makes assembly and subsequent maintenance exceptionally convenient.

It replaces flammable transformer oil with flame‑retardant solid insulation, fundamentally eliminating the risks of fire, explosion, and ecological contamination from oil leakage. It employs a thermal endurance system above Class F and an epoxy resin vacuum casting process, enabling the coils to withstand the high electrodynamic forces generated during sudden short‑circuit events, while also achieving enhanced energy savings through the electromagnetic optimization of high‑permeability silicon steel.

Its intelligent monitoring system enables remote operation, while the custom‑designed UI features a rigorously structured layout with clear functional zoning and hierarchical organization, making data presentation clear and intuitive. This design philosophy substantially cuts down the risk of user error, while enhancing the efficiency and reliability of human-machine interaction.

Project credits.

Ying Li

Qiuhong Li

Shuo Liu

Ming Jin

Qiang Song

Yuxin Wang

Xinrui Liu

Tongyu Wang

Rui Du

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