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Run a Steady-State simulation🔗

The Steady-State simulation presents a time-constant, converged solution, where all the inputs are constant.

Steady-State: It is recommended to check the Library documentation if a model supports Steady State analysis.

What is Steady-State Simulation
  • Steady-State refers to a single operation point when the system is at equilibrium
  • In steady-state simulation, a system is analyzed to determine its behavior and variables when it reaches a stable equilibrium over time.
  • In this type of simulation, the focus is on understanding how the system's state variables settle into a consistent and unchanging state, rather than tracking transient or dynamic behavior.
  • Steady-State simulations are particularly useful for studying systems that have achieved a balance between inputs, outputs, and internal processes.

How to run a Steady-State simulation🔗

To run a Steady-State simulation for a model follow the steps below:

  1. Open the model

  2. Switch to Experiment mode and open the right panel, under ANALYSIS tab, click on the Steady-State button as shown below

  1. In the Experiment panel, click on the Steady-State button in the ANALYSIS tab.
  2. A Steady-State simulation can be speeded up by using Multi-run functionality allowing to run multiple simulations in parallel.

Steady-State Simulation Analysis🔗

Scatter plots are usually used to analyze Steady-State simulations.

The Scatter plot functionality allows you to visualize multiple cases in one chart and isolate the results of one variable in relation to another.

  1. Run the experiment by using Multi-run in Steady-State.

  2. Expand the right panel.

  3. Go to the CALCULATED VALUES tab at the bottom right.

  4. Drag variables from CALCULATED VALUES to show variable results from the experiment.

  1. Drag and drop a new variable to an existing scatterplot (on the x-axis) and both values will be presented in one graph.

  2. Hover over the points to see the results of variables in relation to other variables as results of the experiment.

Dynamic Simulation | Cancelled Simulation |MultiExecution