A hybrid method for synthesis of integrated water and regeneration networks with variable removal ratios.
Abstract This work presents a systematic optimization framework that integrates graphical insights with mathematical modelling to reduce both model complexity and computational time. The graphical technique adopted in this work is Composite Table Algorithm (CTA), which is improved to determine an op...
| Published in: | Journal of Environmental Management Vol. 231; pp. 666 - 679 |
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| Main Authors: | , |
| Format: | Article |
| Published: |
Academic Press Inc.
Feb2019
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| Subjects: | |
| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=133750055&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 133750055 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 03014797 EMJ jtl: Journal of Environmental Management issn: 03014797 maglogo: N pubinfo: dt: Feb2019 vid: 231 pid: 735 pub: Academic Press Inc. artinfo: ui: 133750055 10.1016/j.jenvman.2018.08.076 ppf: 666 ppct: 13 formats: tig: atl: A hybrid method for synthesis of integrated water and regeneration networks with variable removal ratios. aug: au: Mabitla, Sebatane Sharon Majozi, Thokozani affil: School of Chemical and Metallurgical Engineering, University of the Witwatersrand, 1 Jan Smuts Ave, Johannesburg, 2001, South Africa su: Integrated water development Wastewater treatment Computational complexity Structural optimization Cost estimates sug: subj: Sewage Treatment Facilities Integrated water development Wastewater treatment Computational complexity Structural optimization Cost estimates keyword: Mathematical modelling Process integration Removal ratio Wastewater minimization Water pinch Mathematical modelling Process integration Removal ratio Wastewater minimization Water pinch ab: Abstract This work presents a systematic optimization framework that integrates graphical insights with mathematical modelling to reduce both model complexity and computational time. The graphical technique adopted in this work is Composite Table Algorithm (CTA), which is improved to determine an optimal regenerator removal ratio (RR) that simultaneously minimizes the freshwater requirement and wastewater generation within the water network. The improved CTA is demonstrated using literature examples for both fixed load and fixed flowrate problems. It is further adapted to solve a multiple contaminant problem using the reference contaminant approach. The mathematical model developed includes a detailed design of a reverse osmosis (RO) unit to allow for simultaneous optimization of water and energy used by the regenerator. This provides accurate cost estimation of the water network rather than the linear cost functions associated with the use of blackbox representations in graphical targeting. Upon integrating the graphical and mathematical techniques in this study, results show that there was a reduction of about 85% in CPU time. This implies that the model converges faster and therefore favours the use of insight-based techniques as a preprocessing step for mathematical modelling. Highlights • A hybrid method that combines graphical and mathematical approaches. • The method uses the graphical technique as a preprocessing step that improves the detailed mathematical model. • Noticeable decrease in CPU time. • The method is very promising for large scale problems. • The method takes advantage of both graphical and mathematical methods. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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