In Aspen Plus I have the following problem (see attached figure):
I have a RGibbs block which calculates a distribution for a predifined set of products. However, I would like to go beyond this conventional Gibbs Energy Minimization by additionally considering the calculated energy demand for the block as a problem constraint. The strategy, understood as a conditional statement would be something like:
IF Qprocess = Qliterature THEN ---> Go on with the simulation
Else ---> Constraint product's yields ---> Repeat until condition is met
My problem is I don't exactly know how to set those yield constraints for the declared RGibbs products. I thought of the "Inerts" declaration tab, but when you specify a mole flow, the software understands that should be the actual output flow rather than a boundary.
Any thoughts on the issue will be much appreciated.
Dear Reald Tashi and Enrique
I think the problem is how to add a new constraint to the GEM problem in Aspen, and RGibbs seems not suit for the job, even with a loop outside the block (through a DS or optimization). Have you considered solving the GEM problem using code (eg in MATLAB) and imposing the solution to the simulation model through RYield? That would also allow solving the problem calculating excess free energies of key components that satisfy your extra constraint.
I have spoken.
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