At Alliander, we are working towards a future‑proof energy system. One of the challenges we face is making optimal use of our existing infrastructure. The Transformer Thermal Model (TTM) helps us do exactly that. This model accurately calculates the temperature inside transformers, allowing us to better assess how much additional load they can handle without causing unnecessary wear or introducing risks.
Transformers play a crucial role in the electricity grid. They convert voltage and ensure that electricity is distributed safely and efficiently. But how heavily can a transformer be loaded without overheating or aging more quickly?
The Transformer Thermal Model provides the answer. The model simulates the temperature development inside a transformer based on physical principles. This allows us to predict so‑called hotspot and top‑oil temperatures. Two key indicators of a transformer’s health.
By gaining a better understanding of how hot a transformer becomes under different load conditions, we can deploy these assets more intensively on a temporary basis. This is particularly valuable in areas where the grid is under pressure, for example due to the rapid growth of solar and wind energy or the electrification of mobility and industry.
We believe that collaboration is the key to innovation. That is why we are making the Transformer Thermal Model available as open source. Anyone can use the model, improve it, or extend it. In this way, grid operators, research institutions, and other stakeholders can contribute to a stronger and more broadly validated model.
On GitHub, you will find the source code, documentation, and guidance on how to get started yourself.
