Show simple item record

dc.contributor.authorBertone, Edoardo
dc.contributor.authorStewart, Rodney A
dc.contributor.authorZhang, Hong
dc.contributor.authorO'Halloran, Kelvin
dc.date.accessioned2018-09-13T01:11:13Z
dc.date.available2018-09-13T01:11:13Z
dc.date.issued2016
dc.identifier.issn1364-8152
dc.identifier.doi10.1016/j.envsoft.2015.10.020
dc.identifier.urihttp://hdl.handle.net/10072/99928
dc.description.abstractIn order to reduce the total cost of a dual source drinking water treatment plant operation, a comprehensive hybrid prediction model was built to estimate the necessary chemicals dosage and pumping energy costs for alternative source selection scenarios. Correlations between the water quality parameters and the required treatment chemicals were estimated using historical data and the expected pH variations associated with each chemical addition, which was based on the Caldwell–Lawrence diagram. The pumping energy costs were also estimated using a data-driven approach that was based on historical plant data. The research has practical implications for water treatment operators seeking to minimize plant operational costs through selecting raw water intake volumes for their treatment plant based on multiple source options and offtake tower gate levels. Future research seeks to better link current and future water treatment dosage cost predictions directly to water quality measurements taken from vertical profiling systems.
dc.description.peerreviewedYes
dc.languageEnglish
dc.language.isoeng
dc.publisherElsevier
dc.relation.ispartofpagefrom230
dc.relation.ispartofpageto242
dc.relation.ispartofjournalEnvironmental Modelling & Software
dc.relation.ispartofvolume75
dc.subject.fieldofresearchEnvironmentally sustainable engineering
dc.subject.fieldofresearchGlobal and planetary environmental engineering
dc.subject.fieldofresearchcode401102
dc.subject.fieldofresearchcode401103
dc.titleHybrid water treatment cost prediction model for raw water intake optimization
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
dcterms.licensehttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.description.versionAccepted Manuscript (AM)
gro.facultyGriffith Sciences, Griffith School of Engineering
gro.rights.copyright© 2016 Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence (http://creativecommons.org/licenses/by-nc-nd/4.0/) which permits unrestricted, non-commercial use, distribution and reproduction in any medium, providing that the work is properly cited.
gro.hasfulltextFull Text
gro.griffith.authorStewart, Rodney A.
gro.griffith.authorZhang, Hong
gro.griffith.authorBertone, Edoardo


Files in this item

This item appears in the following Collection(s)

  • Journal articles
    Contains articles published by Griffith authors in scholarly journals.

Show simple item record