Automated targeting technique for single-impurity resource conservation networks. Part 2: Aingle-pass and partitioning waste-interception systems

• Main Authors: Ng, Denny K.S., Foo, Dominic Chwan Yee, Tan, Raymond Girard R.
• Format: text
• Published: Animo Repository 2009
• Subjects: Conservation of natural resources; Factory and trade waste; Chemical Engineering
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/3654; https://animorepository.dlsu.edu.ph/context/faculty_research/article/4656/type/native/viewcontent/ie900127r.html
• Institution: De La Salle University

Part 1 of this pair of articles presents an automated targeting technique to identify minimum fresh resource flow rate/cost targets in a resource conservation network (RCN) with material reuse/recycle. After the potential for conservation through direct reuse/recycle is exhausted, fresh resource consumption can be further reduced by incorporating waste-interception (regeneration) processes. Hence, the proposed automated targeting technique in part 1 of this pair of articles is extended to determine the targets for RCNs with interception placement. The waste-interception systems are modeled as treatment processes with either fixed outlet concentrations or fixed impurity load removal ratios. The approach also distinguishes between single-pass and partitioning regenerators, which have different implications for RCNs. Literature examples and industrial cases are solved to illustrate the proposed approach. © 2009 American Chemical Society.