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Please use this identifier to cite or link to this item: http://hdl.handle.net/10204/3052

Title: Synthesis of zero effluent multipurpose batch processes using effective scheduling
Authors: Gouws, JF
Majozi, T
Keywords: Waterwaste minimization
Issue Date: Jun-2008
Publisher: Elsevier B.V
Citation: Gouws, JF and Majozi, T and Braunschweig, B, Joulia, X (eds). 2008. Synthesis of zero effluent multipurpose batch processes using effective scheduling. 18th European Symposium on Computer Aided Process Engineering (ESCAPE 18), Lyon, France, 1-4 June, 2008, pp 6
Abstract: Wastewater minimization in batch processes has gained much attention in the very recent past. Mainly 2 reasons lie behind this heightened interest. Firstly, batch operations are inherently flexible, which renders them ideal for volatile conditions that characterize today’s markets. Secondly, batch processes tend to produce highly toxic effluent streams, albeit in relatively small quantities in comparison to their continuous counterparts. The stringent environmental conditions militate against the latter characteristic of batch plants, hence the need to eliminate or minimize effluent. The question of the number and size of the vessels used in a batch processing facility has always posed a problem. The incorrect approach to the synthesis of a batch plant can lead to the situation where processing vessels are over sized and even the possibility of idle processing vessels. This could pose a possible over capitalisation of an operation. In essence, an optimal design of a batch processing plant is determined by considering the scheduling of operations in the synthesis phase. The mathematically based method presented in this paper deals with the synthesis of a batch plant operating in the fashion mentioned above. The method determines the optimal size and number of processing vessels and wastewater storage vessels, while scheduling the operation in such a manner as to operate in a near-zero effluent fashion
Description: Copyright: 2008 Elsevier B.V
URI: http://hdl.handle.net/10204/3052
Appears in Collections:Logistics and quantitative methods
General science, engineering & technology

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