Automated continuous computation of operating conditions using FIDELITY

To the best of my knowledge, the Fidelity software does not currently support this feature. However, it is available in the legacy version, Fine Turbo, which can perform the desired operations.

Is it really impossible to achieve this functionality through the Python API?

Fine Turbo offers a direct option, however, this feature is not supported by the Fidelity software. As a result, the corresponding Python functions, which are linked to the Fidelity software's features, are not functional. Nevertheless, a fully functional Python API is available for Fine Turbo, and more information can be found in the Fine Turbo documentation.

One effective approach is to automate the process using the Python API — I recently implemented something similar.

Start by running an initial simulation. If it converges successfully, duplicate the simulation and modify the mass flow or outlet pressure by a defined step size. Use the result of the previous simulation as the initial solution for the next one (make sure to disable CGI). Repeat this process to generate a performance curve.

This will result in a series of simulations for the same setup, each with adjusted boundary conditions.

It’s important to monitor convergence by evaluating key metrics such as mass flow, efficiency, or other relevant values over the last XXX iterations.

If you're approaching the surge line, you can refine your step size for changing the mass flow or outlet pressure dynamically. For example, if a simulation at mass flow X converges but the next at X + step_size fails, reduce the step (e.g., try X + step_size / 2). This allows for a controlled and gradual approach to critical operating points.

To get startet with Python and Fidelity: check the documentation. Some Fidelity tutorials include example Python scripts.
It’s also worth checking out the posts by Gaurav — he provides detailed explanations and examples of how to use Python with Fidelity.

Cheers