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dc.contributor.authorDhorat, A.
dc.contributor.authorAl-Obaidi, Mudhar A.A.R.
dc.contributor.authorMujtaba, Iqbal M.
dc.date.accessioned2018-03-21T12:42:42Z
dc.date.available2018-03-21T12:42:42Z
dc.date.issued2018-12
dc.identifier.citationDhorat A, Al-Obaidi MA and Mujtaba IM (2018) Numerical modelling and sensitivity analysis of natural draft cooling towers. Chemical Product and Process Modeling. 13(4): 20170078.en_US
dc.identifier.urihttp://hdl.handle.net/10454/15281
dc.descriptionYesen_US
dc.description.abstractCooling towers are a relatively inexpensive and consistent method of ejecting heat from several industries such as thermal power plants, refineries, and food processing. In this research, an earlier model from literature was to be validated across three different case studies. Unlike previous models, this model considers the height of the fill as the discretised domain, which produces results that give it in a distribution form along the height of the tower. As there are limitations with the software used (gPROMS) where differential equations with respect to independent variables in the numerator and denominator cannot be solved, a derivative of the saturation vapour pressure with respect to the temperature of the air was presented. Results shown were in agreement with the literature and a parametric sensitivity analysis of the cooling tower design and operating parameters were undertaken. In this work the height of fill, mass flowrates of water and air were studied with respect to sensitivity analysis. Results had shown large variations in the outlet temperatures of the water and air if the mass flows of water and air were significantly reduced. However, upon high values of either variable had shown only small gains in the rejection of heat from the water stream. With respect to the height of the fill, at larger heights of the fill, the outlet water temperature had reduced significantly. From a cost perspective, it was found that a change in the water flowrate had incurred the largest cost penalty with a 1% increase in flowrate had increased the average operating cost by 1.2%. In comparison, a change in air flowrate where a 1% increase in flowrate had yielded an average of 0.4% increase in operating cost.en_US
dc.language.isoenen_US
dc.rights© 2018 De Gruyter. Reproduced in accordance with the publisher's self-archiving policy.en_US
dc.subjectCooling towers; Numerical modelling; Sensitivity analysis; Mass transfer; Cost analysisen_US
dc.titleNumerical modelling and sensitivity analysis of natural draft cooling towersen_US
dc.status.refereedYesen_US
dc.date.Accepted2018-03-05
dc.date.application2018-04-12
dc.typeArticleen_US
dc.type.versionAccepted Manuscripten_US
dc.identifier.doihttps://doi.org/10.1515/cppm-2017-0078
refterms.dateFOA2019-01-21T09:42:28Z


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