Solvina Uses Dymola for Power Plant Control Optimization
Case study showing how Solvina applies Dymola simulation to design and verify control strategies that reduce energy use and improve output in industrial power plants.
Solvina, a Swedish engineering consultancy, uses Dymola to model steam turbines, pressure loops, and energy systems before physical changes are made. The tool enables rapid testing of control algorithms, virtual acceleration of slow processes, and operator training through generic plant simulators. One implementation at a pulp mill delivered 20 MWh daily power savings and roughly 500k euros in annual benefit.
Dymola models entire energy units using reusable Modelica components to test control strategies before commissioning.
Simulation accelerates verification of slow processes and reduces risk of suboptimal controller tuning.
Solvina achieved 20 MWh/day energy reduction and 500k euros annual savings at Södra Cell Mörrum pulp mill.
Generic power plant simulators support faster customization and safe operator training for complex scenarios.
Model-based approach allows reuse across chemical, pulp and paper, and nuclear power projects since 1994.
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