Abstract

One of the methodologies utilized for process design consists on the application of optimization techniques, e.g. mathematical programming, to identify the best design inside a set of alternatives. In spite of the efforts and advances, this approach faces the problem that it is not broadly utilized in the industrial practice. One reason, among other, is that their implementation requires complex mathematical developments and therefore a good knowledge of the mathematical programming techniques. Therefore, it is important to develop procedures that can consider real situations, but on the other hand does not require complex mathematical methods. In this work the potential application of grey programming (GP) and grey system to process design is analyzed. GP is a simple technique to consider uncertainty. The design of flexible heat-exchange network is used as an example. Complete methodologies is developed, which include the grey composite curve, the determination of the grey minimum utility consumption, and the determination of grey number of interchangers units. The utilized techniques consider grey linear programming (GLP) and grey mixed-integer linear programming (GMILP). © 2008 Elsevier B.V. All rights reserved.