A mathematical optimisation approach for wastewater minimisation in multipurpose batch plants : multiple contaminants

dc.contributor.authorMajozi, Thokozani
dc.contributor.authorGouws, J.F. (Jacques)
dc.contributor.emailthoko.majozi@up.ac.zaen_US
dc.date.accessioned2009-09-16T13:17:33Z
dc.date.available2009-09-16T13:17:33Z
dc.date.issued2009
dc.description.abstractThis paper presents a methodology for wastewater minimisation in multipurpose batch plants characterised by multiple contaminant streams. Firstly a situation in which central reusable water storage does not exist is considered. In this case, water from one operation is directly reused in another operation as long as the source and sink operations, respectively, end and begin simultaneously. Secondly, the case with central reusable water storage is considered. In this case water from a source operation can temporarily be stored in dedicated storage before use by the sink process. The methodology is based on an existing scheduling framework which then makes it possible to generate the required schedule to realise the absolute minimumwastewater generation for a problem. The methodology involves a two-step solution procedure. In the first step the resulting MINLP problem is linearised and solved to provide a starting point for the exact MINLP problem.en_US
dc.identifier.citationMajozi, T., & Gouws, J F. A mathematical optimisation approach for wastewater minimisation in multipurpose batch plants : Multiple contaminants. Computers and Chemical Engineering (2009), doi:10.1016/j.compchemeng.2009.06.008en_US
dc.identifier.issn0098-1354
dc.identifier.other10.1016/j.compchemeng.2009.06.008
dc.identifier.urihttp://hdl.handle.net/2263/11278
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.rightsElsevieren_US
dc.subjectMultiple contaminantsen_US
dc.subjectBatchen_US
dc.subjectOptimisationen_US
dc.subjectWastewater minisationen_US
dc.titleA mathematical optimisation approach for wastewater minimisation in multipurpose batch plants : multiple contaminantsen_US
dc.typePostprint Articleen_US

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Majozi_Mathematical(2009).pdf
Size:
824.32 KB
Format:
Adobe Portable Document Format
Description:
Postprint Article

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
2.43 KB
Format:
Item-specific license agreed upon to submission
Description: