The IDAES Process Modeling Framework includes support for incorporating utility minimization into a flowsheet to allow for calculation and optimization of utilities. The formulation is implemented from M. A. Duran, I. E. Grossmann, Simultaneous optimization and heat integration of chemical processes, AIChE Journal (1986).
This model is effective because the combinatorial search for the pinch candidate is cast as the inequality constraint, which is efficiently handled in equation oriented process optimization.
To create the constraints and utility variables Qs and Qw we utilize the function:
idaes.core.util.utility_minimization.min_utility
To effectively utilize the formulation, we need to add an objective function to minimize the new variables, or a cost associated with them.
To generate composite curves, we must utilize the function heat_ex_data show bellow to extract the heat exchanger and utility data.
idaes.core.util.utility_minimization.heat_ex_data
We can just run the function utilizing the data class previously obtained to print composite curves with heat_ex_data:
idaes.core.util.utility_minimization.generate_curves