Original scientific paper

Enhancing transformer sustainability through dynamic rating algorithms

Dr Bhaba P. Das

Abstract

Material production and energy supply are becoming increasingly interconnected. The large-scale deployment of solar energy, wind turbines, electric vehicles, and fuel cells is essential to limit global temperature rise to 1.5°C. However, these technologies require significant raw materials, including steel, copper, aluminum, and concrete, driving demand at an unprecedented rate. Transformers, as critical, long-lasting, and resource-intensive components of the electrical grid, must be designed to address this energy-materials challenge. This article critically examines how transformer digitalization, through dynamic rating algorithms, can optimize resource use, using a 20 MVA transformer as a case study.

Keywords

dynamic rating; digitalization; carbon footprint; load capacity; thermal monitoring

Hrčak ID:

330333

URI

https://hrcak.srce.hr/330333

Publication date:

7.4.2025.

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