Metamodeling Approach to Optimization of
Steady-State Flowsheet Simulators:
Model Generation

Steady-state flowsheet simulations can be too complex to be amenable to direct optimization.  An indirect route involves data collection from the simulation and fitting of less complex surrogates: metamodels, which are more readily optimized.  The use of metamodels allows the optimization to proceed while requiring only a small number of solutions to be obtained from the simulation.  This paper describes a general methodology for optimization of process simulations via metamodeling.   Implementation issues surrounding the data collection and model generation phases of the methodology are identified.  Examples of effective techniques are given.


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