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Dissertation (MEng)--University of Pretoria, 2008.
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| Format: | Thesis |
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University of Pretoria
2013
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| _version_ | 1867613677237043200 |
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| access_status_str | Open Access |
| author2 | Majozi, Thokozani |
| author_browse | Majozi, Thokozani |
| author_facet | Majozi, Thokozani |
| collection | Thesis |
| dc_rights_str_mv | © University of Pretoria 2007 E1063/ |
| description | Dissertation (MEng)--University of Pretoria, 2008. |
| format | Thesis |
| id | oai:repository.up.ac.za:2263/27586 |
| institution | University of Pretoria (South Africa) |
| last_indexed | 2026-06-10T12:39:56.908Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository |
| publishDate | 2013 |
| publishDateRange | 2013 |
| publishDateSort | 2013 |
| publisher | University of Pretoria |
| publisherStr | University of Pretoria |
| record_format | dspace |
| source_str | UPSpace — University of Pretoria Institutional Repository |
| spelling | oai:repository.up.ac.za:2263/27586 Optimal synthesis of storageless batch plants using the process intermediate storage operational policy Majozi, Thokozani tompattins@gmail.com Pattinson, Thomas Automation Chemical plant Computer simulation Operations research Chemical process control Mathematical models Chemical engineering UCTD Dissertation (MEng)--University of Pretoria, 2008. A novel operational policy, the Process Intermediate Storage (PIS) operational policy, is introduced and used to synthesize, schedule and design multipurpose batch plants. The model is based on the State Sequence Network (SSN) and non-uniform discretization of the time horizon of interest model developed by Majozi&Zhu (2001). Two cases are studied to determine the effectiveness of the operational policy. A plant without dedicated intermediate storage is considered in the first case. In this case the throughput is maximized with and without the use of the PIS operational policy. The use of the PIS operational policy results in a 50% improvement in the throughout. The second case is used to determine the minimum amount of intermediate storage while maintaining the throughput achieved with infinite intermediate storage. This resulted in a 33% reduction in the amount of dedicated intermediate storage. The models developed for both cases are MILP models. A design model is then developed to exploit the attributes of the PIS operational policy. The design model is a MINLP due to the capital cost objective function. This model is applied to a literature example and an industrial case study and in both cases results in improved flowsheets and reduced capital cost. Chemical Engineering unrestricted 2013-09-07T11:49:02Z 2008-09-08 2013-09-07T11:49:02Z 2008-04-11 2008-09-08 2008-08-27 Dissertation a 2007 E1063/gm http://hdl.handle.net/2263/27586 http://upetd.up.ac.za/thesis/available/etd-08272008-125107/ © University of Pretoria 2007 E1063/ application/pdf University of Pretoria |
| spellingShingle | Automation Chemical plant Computer simulation Operations research Chemical process control Mathematical models Chemical engineering UCTD Optimal synthesis of storageless batch plants using the process intermediate storage operational policy |
| title | Optimal synthesis of storageless batch plants using the process intermediate storage operational policy |
| title_full | Optimal synthesis of storageless batch plants using the process intermediate storage operational policy |
| title_fullStr | Optimal synthesis of storageless batch plants using the process intermediate storage operational policy |
| title_full_unstemmed | Optimal synthesis of storageless batch plants using the process intermediate storage operational policy |
| title_short | Optimal synthesis of storageless batch plants using the process intermediate storage operational policy |
| title_sort | optimal synthesis of storageless batch plants using the process intermediate storage operational policy |
| topic | Automation Chemical plant Computer simulation Operations research Chemical process control Mathematical models Chemical engineering UCTD |
| url | http://hdl.handle.net/2263/27586 http://upetd.up.ac.za/thesis/available/etd-08272008-125107/ |