Automated targeting for resource conservation network with interception placement

Denny Kok Sum Ng, Dominic Chwan Yee Foo, Raymond R. Tan

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)857-862
Number of pages6
JournalChemical Engineering Transactions
Volume18
DOIs
Publication statusPublished - Sep 2009
Event12th International Conference on Process Integration, Modelling and Optimisation for Energy Saving and Pollution Reduction 2009 - Rome, Italy
Duration: 10 May 200913 May 2009

ASJC Scopus subject areas

  • Chemical Engineering(all)

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