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dc.contributor.authorNg, K.
dc.contributor.authorFoo, D.
dc.contributor.authorTan, R.
dc.contributor.authorPau, C.
dc.contributor.authorTan, Yin Ling
dc.identifier.citationNg, Denny and Foo, Dominic and Tan, Raymond and Pau, Choon Hock and Tan, Yin Ling. 2009. Automated Targeting for Conventional and Bilateral Property-based Resource Conservation Network. Chemical Engineering Journal. 149 (1-3): pp. 87-101.

Resource conservation is an effective way to reduce operation cost and to maintain business sustainability. Most previous works have been restricted to 'chemo-centric' or concentration-based systems where the characterisation of the streams and constraints on the process sinks are described in terms of the concentration of pollutants. However, there are many applications in which stream quality is characterised by physical or chemical properties rather than pollutant concentration. In this work, the automated targeting approach originally developed for the synthesis of composition-based resource conservation network is extended for property-based network. In particular, targeting for the property-based networks with process modification and interception processes are addressed. 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. In case(s) where process modification is involved, the automated targeting technique is formulated as a non-linear programming (NLP) model, in which is solved globally by commercial optimisation software. In addition, a new approach for the bilateral property integration problem is also presented in this work. Literature and industrial case studies are solved to illustrate the proposed approach.

dc.publisherElsevier BV
dc.subjectResource conservation
dc.subjectProperty integration
dc.subjectProperty interception
dc.subjectProcess integration
dc.subjectWaste minimisation
dc.titleAutomated Targeting for Conventional and Bilateral Property-based Resource Conservation Network
dc.typeJournal Article
dcterms.source.titleChemical Engineering Journal

The link to the journal’s home page is: Copyright © 2009 Elsevier B.V. All rights reserved

curtin.accessStatusFulltext not available
curtin.facultySchool of Engineering
curtin.facultyFaculty of Science and Engineering
curtin.facultyDepartment of Chemical Engineering

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