Energy

What can the existing grid support?

An industrial site is planning to expand. Can the local grid meet the extra demand at peak times? Could shifting some of that demand or adding storage make better use of the capacity already in place?

We’re exploring how Calejo Control could help energy teams compare options like these in a digital model of their system. By modelling generation, demand, storage and grid capacity together, teams could see where and when the network might come under pressure and assess which options could ease it.

How Hybrid Intelligence could help

We combine engineering knowledge and operating data with machine learning and mathematical models we develop. A grid operator knows where the network is already stretched. An industrial team knows which processes can run at a different time. Bringing that knowledge into the same model could help both teams see whether a proposed change would ease a constraint or shift it elsewhere.

Why Kvarken interests us

The Kvarken region, between Sweden and Finland, brings together renewable generation, industrial expansion and cross-border cooperation. It’s a setting for exploring a question that matters well beyond the region. When new generation and industrial demand grow at different rates, how can grid operators, producers and industry plan ahead together?