This paper deals with the handling of implicit model formulations in M
INLP optimization and proposes a strategy to cope with occurring diffi
culties of insufficient information. Process flowsheet simulators are
the state-of-the-art tool of chemical engineers. Since these packages
often utilize implicit model formulations for physical properties calc
ulation etc., it is necessary to analyze the performance of MINLP algo
rithms when dealing with such problem representations. The examination
s are carried out with the program system PSANO (Process Synthesis and
Network Optimization), where the equation-oriented flowsheeting packa
ge SPEEDUP and the Mixed Integer Linear Programming (MILP) solver OSL
have been integrated into an extension of the Outer Approximation (OA)
approach.