Thermodynamic methods of process synthesis are very useful for the des
ign of complex and energy intensive processes, but they cannot be used
simultaneously with material balances. Algorithmic methods are simult
aneous, but they are difficult to solve for complex and energy intensi
ve processes because the number of variables increases with the number
of combinations. We can approach the optimal design for complex and e
nergy intensive processes if we combine the two methods. The combined
approach is composed of two steps, the thermodynamic and the algorithm
ic one. In the first one we eliminate unpromising structures and we in
clude new, potentially good ones by studying an Extended Grand Composi
te Curve. In the second one we can optimize the superstructure obtaine
d by using Mixed-Integer Nonlinear Programming. The combined approach
can be used for optimal design of energy and material parameters of co
ntinuous processes as well as for energy recovery. In a retrofit case
study we have targeted energy saving using rigorous models and fixed a
mount how rates to find two promising structures, and then we have use
d parameter and simultaneous structural optimization to determine the
best alternative and its parameters.