Automated Targeting for Conventional and Bilateral Property-based Resource Conservation Network
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 describe...
| Main Authors: | , , , , |
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| Format: | Journal Article |
| Published: |
Elsevier BV
2009
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/7992 |
| _version_ | 1848745528144166912 |
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| author | Ng, K. Foo, D. Tan, R. Pau, C. Tan, Yin Ling |
| author_facet | Ng, K. Foo, D. Tan, R. Pau, C. Tan, Yin Ling |
| author_sort | Ng, K. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T06:18:47Z |
| format | Journal Article |
| id | curtin-20.500.11937-7992 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T06:18:47Z |
| publishDate | 2009 |
| publisher | Elsevier BV |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-79922017-09-13T16:05:52Z Automated Targeting for Conventional and Bilateral Property-based Resource Conservation Network Ng, K. Foo, D. Tan, R. Pau, C. Tan, Yin Ling Resource conservation Property integration Property interception Process integration Waste minimisation Optimisation 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. 2009 Journal Article http://hdl.handle.net/20.500.11937/7992 10.1016/j.cej.2008.10.003 Elsevier BV restricted |
| spellingShingle | Resource conservation Property integration Property interception Process integration Waste minimisation Optimisation Ng, K. Foo, D. Tan, R. Pau, C. Tan, Yin Ling Automated Targeting for Conventional and Bilateral Property-based Resource Conservation Network |
| title | Automated Targeting for Conventional and Bilateral Property-based Resource Conservation Network |
| title_full | Automated Targeting for Conventional and Bilateral Property-based Resource Conservation Network |
| title_fullStr | Automated Targeting for Conventional and Bilateral Property-based Resource Conservation Network |
| title_full_unstemmed | Automated Targeting for Conventional and Bilateral Property-based Resource Conservation Network |
| title_short | Automated Targeting for Conventional and Bilateral Property-based Resource Conservation Network |
| title_sort | automated targeting for conventional and bilateral property-based resource conservation network |
| topic | Resource conservation Property integration Property interception Process integration Waste minimisation Optimisation |
| url | http://hdl.handle.net/20.500.11937/7992 |