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dc.contributor.authorDhorat, A.
dc.contributor.authorAl-Obaidi, Mudhar A.A.R.
dc.contributor.authorMujtaba, Iqbal M.
dc.date.accessioned2018-11-06T16:04:16Z
dc.date.available2018-11-06T16:04:16Z
dc.date.issued2019-03
dc.identifier.citationDhorat A, Al-Obaidi MA and Mujtaba IM (2019) Dynamic modelling and operational optimisation of natural draft cooling towers. Thermal Science and Engineering Progress. 9: 30-43.en_US
dc.identifier.urihttp://hdl.handle.net/10454/16646
dc.descriptionYesen_US
dc.description.abstractNatural draft cooling towers are subjected to dynamic air temperature and humidity ratio of air throughout the day. Their performances based on steady state model is restricted to single air temperature and humidity ratio of air values and thus are not accurate. In this work, a dynamic model for a natural draft cooling tower is developed. Air temperature and relative humidity data for Johannesburg were acquired to develop dynamic correlations for these two parameters and are embedded in the process model together with the dynamic model of the collection basin of the tower. A simple algorithm is proposed to solve the resulting boundary value problem. Finally, the common perception that seawater/river water should be used instead of freshwater as cooling medium is tested via optimisation where the operating costs of the process for two cooling mediums is minimised. The freshwater has been found to be cost effective cooling medium.en_US
dc.language.isoenen_US
dc.relation.isreferencedbyhttps://doi.org/10.1016/j.tsep.2018.10.013en_US
dc.rights© 2018 Elsevier Ltd. All rights reserved. Reproduced in accordance with the publisher's self-archiving policy. This manuscript version is made available under the CC-BY-NC-ND 4.0 license.en_US
dc.subjectCooling towersen_US
dc.subjectNumerical modellingen_US
dc.subjectDynamic modellingen_US
dc.subjectSQP optimisationen_US
dc.subjectCycles of concentrationen_US
dc.titleDynamic modelling and operational optimisation of natural draft cooling towersen_US
dc.status.refereedYesen_US
dc.date.Accepted2018-10-26
dc.date.application2018-10-28
dc.typeArticleen_US
dc.type.versionAccepted Manuscripten_US
refterms.dateFOA2018-11-06T16:04:16Z


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