The reactor is the most influential unit operation in many chemical pr
ocesses. Reaction systems and reactor design often determine the chara
cter of the flowsheet. However, research in reactor network synthesis
has met with limited success because of nonlinear reaction models, unc
ertain rate laws, and numerous possible reactor types and networks. In
this paper we take advantage of attainable-region properties derived
from geometric targeting techniques to design a concise reactor module
for reactor network synthesis. The reactor module is made up of a con
tinuous stirred tank reactor and a plug flow reactor (for two dimensio
nal targeting) or a differential sidestream reactor (for higher dimens
ions). These modules are used to synthesize the optimal reactor networ
k target with respect to a specific objective function, and the proble
m is formulated as a compact mixed integer nonlinear program. This new
algorithm overcomes many of the drawbacks of existing algorithms. Fin
ally, we solve several example problems to illustrate the feasibility
of the proposed algorithm and discuss applications to simultaneous rea
ctor network and process synthesis.