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Written by Doenja Frints | Mar 30, 2026 3:08:32 PM

What if you could see today what your energy consumption would look like tomorrow? Or what the effect of a battery, charging stations or additional installations would be, without actually installing them? Embion's Digital Twin makes that a reality. We are currently selecting the first partners with whom we will analyze the results of the first release. A market-wide rollout is expected to take place in Q3 of this year.

What is a Digital Twin?

A Digital Twin is a digital copy of your power plant. Within the Embion EMS, we build this model based on historical data, combined with smart inputs.

For example:

  • consumption data of installations and machines
  • working hours and usage patterns
  • weather influences such as solar radiation and temperature
  • the generation of solar panels

The system learns how your location functions and recognizes patterns in consumption and generation. On this basis, a model is created that realistically simulates your installation.

From measuring to predicting
While traditional systems mainly show what has already happened, the Digital Twin looks ahead. Based on data collected by your Embion EMS, the model simulates how your energy consumption and generation will develop based on factors such as weather and day of the week.
 
So what can you do with a Digital Twin?
  • estimate future energy needs
  • detect peaks in consumption in advance
  • recognize deviations from expected behavior

This makes energy management not only insightful, but also predictable.

Simulate before you invest

The Embion Digital Twin makes it possible to analyse scenarios before making decisions. Think of questions such as: ‘What impact does a battery have on my peak demand?’ ‘Can my grid connection handle additional charging stations?‘What is the impact of new installations on my energy costs?’ and ‘What size should my battery be to absorb peak loads and remain economically viable?’

The Embion Digital Twin calculates these scenarios based on your specific situation. Thereby not only technical effects become visible, but also financial consequences such as costs, savings and payback time.

Fast value with limited data

You don't need years of data to get value from the Digital Twin. With just a month's worth of measurement data, the model can already make strong predictions. Combining this with external data, such as weather information, creates a complete picture.