adding parameters with indices in the path

[tboiger]

in buildingspy the function "s.simulate" generates a mos run-file and runs the file;
in the mos-file there is written something like

simulateModel(modelname, startTime=0, stopTime=31536000, method="Cvode - variable order", tolerance=0.0001, resultFile="Inffeldgasse13_1", numberOfIntervals=8760);

if s.addParameters is used, it is something like
simulateModel('modelname(multizone.VAir=30000)', ...)
or
simulateModel('modelname(multizone.zoneParam[1].gWin=0.6)', ...)

the problem is that writing the parameters in parenthesis after the model works as long as the parameter is accessible with dots only, but if there is an index, it doesn't work anymore, because Dymola obviously can't handle indices inside the parenthesis.

Our solution so far is to use the Python Interface of Dymola to access the parameters:

We use the function 'simulateExtendedModel' from the Interface, where parameters can be given extra this way

simulateExtendedModel(modelname, ..., initialNames=['multizone.zoneParam[1].gWin'], initialValues=[0.6], resultFile=path)

Here it works with indices too. We save the file to a given path and then import the results with buildingspy.

A solution for buildingspy would be to give the option to either generate a mos run-file with simulateModel or a mos run-file with simulateExtendedModel depending on if parameters are added or not

[mwetter]

@tboiger : Would the simulateExtendedModel command also work with a redeclare statement, for example to redeclare the medium or to redeclare a model?

[mwetter]

Another issue with using simulateExtendedModel is that some parameter are already evaluated during translation and then cannot be modified. For example,

simulateExtendedModel(problem="IBPSA.Fluid.FixedResistances.Validation.PressureDropsSeries", initialNames={"res[1].dp_nominal"}, initialValues={10}, tolerance=1e-06, resultFile="PressureDropsSeries");
Warning: Setting res[1].dp_nominal has no effect in model.
After translation you can only set literal start-values and non-evaluated parameters.