Dynamic modeling enhances real-world performance

We believe that the best way to solve complex challenges is to understand them before they arise. That’s why we rely on dynamic simulation to explore the intricate interconnections within physical systems—long before implementation begins.

By starting on the drawing board, we can test, refine, and even make mistakes in a virtual environment—where the cost is low and the learning is high. This approach ensures that when we move to the real world, we do so with confidence.

Thanks to a flexible model structure, we can easily swap out simple components for more detailed ones. This allows us to zoom in on critical areas when needed, ensuring precision where it matters most.

For our customers, this means:

• Fewer surprises during commissioning
• Higher reliability in daily operations
• Faster troubleshooting when issues arise

If something doesn’t work as expected, we can replicate the issue in the simulation and use the model to identify and test solutions—saving time, money, and stress.

This level of insight requires deep process knowledge and meticulous attention to detail. That’s why we specialize in Modelica, a powerful tool for dynamic analysis and control system design.

With our simulation-driven approach, you benefit from:

• Early detection of potential issues through scenario testing
• Smoother commissioning and quality-assured operations
• A system that performs as intended—because we’ve already tested it under pressure
   

Spotlight on innovation: Modelica Conference 2025

Three of our specialists—Thomas Egsgaard Pedersen, Rene Just Nielsen, and Søren Waagø Christiansen—attended the International Modelica Conference 2025 in Lucerne, Switzerland. At the conference, we presented Added Values’ latest research on:

“Master Controller Concept for Power Flexible Energy Systems”:

Our research paper introduces a generic model of a master controller designed to aggregate multiple flexible electrical power units. The controller includes submodels such as a Power Balancing Controller and a novel control signal distrubution strategy for cost-effective ancillary service activation.

Simulations demonstrate how combing slow and fast units can enhance capacity for faster ancillary services. The model also shows that allowing automatic shutdown of certain units increases overall flexibility by removing minimum load constraints.

The paper is published in: Linköping Electronic Conference Proceedings, No. 218

 
Download the full paper

Interested in our use of Modelica in green energy solutions?
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