Automated targeting for resource conservation network with interception placement

• Main Authors: Ng, Denny K.S., Foo, Dominic Chwan Yee, Tan, Raymond Girard
• Format: text
• Published: Animo Repository 2009
• Subjects: Salvage (Waste, etc.); Chemical Engineering
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/3861
• Institution: De La Salle University

After the opportunities for maximum material recovery are exhausted through direct reuse/recycle, fresh resources consumption may be further reduced with the use of interception/regeneration processes. This paper presents an optimisation-based procedure known as automated targeting to locate the minimum resource consumption targets for a resource conservation network (RCN) with interception placement. The automated targeting was originally developed for mass integration by El-Halwagi and Manousiothakis (1990). Based on the concept of insight-based targeting approach, the automated targeting technique is formulated as a linear programming (LP) model for which the global optimum is guaranteed if a solution exists. A literature example is solved to illustrate the proposed approach. Copyright © 2009, AIDIC Servizi S.r.l.