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A novel application for energy efficiency improvement using nanofluid in shell and tube heat exchanger equipped with helical baffles

Bahiraei, Mehdi; Hangi, Morteza; Saeedan, Mahdi

Description

Hydrothermal characteristics of the water–Al₂O₃ nanofluid are numerically evaluated in shell-and-tube heat exchanger equipped with helical baffles using the two-phase mixture model. Heat transfer and pressure drop increase by increasing nanoparticle concentration and baffle overlapping, and decreasing helix angle. At smaller helix angles, changing the overlapping is more effective on the convective heat transfer coefficient and the pressure drop. Neural network is used for modeling, and based...[Show more]

dc.contributor.authorBahiraei, Mehdi
dc.contributor.authorHangi, Morteza
dc.contributor.authorSaeedan, Mahdi
dc.date.accessioned2016-09-15T05:39:03Z
dc.date.available2016-09-15T05:39:03Z
dc.identifier.issn0360-5442
dc.identifier.urihttp://hdl.handle.net/1885/108885
dc.description.abstractHydrothermal characteristics of the water–Al₂O₃ nanofluid are numerically evaluated in shell-and-tube heat exchanger equipped with helical baffles using the two-phase mixture model. Heat transfer and pressure drop increase by increasing nanoparticle concentration and baffle overlapping, and decreasing helix angle. At smaller helix angles, changing the overlapping is more effective on the convective heat transfer coefficient and the pressure drop. Neural network is used for modeling, and based on the test data, the model predicts the convective heat transfer coefficient and the pressure drop with MRE (Mean Relative Error) values of about 0.089% and 0.65%, respectively. In order to obtain conditions of effective parameters which cause maximum heat transfer along with minimum pressure drop, optimization is performed on the neural network model using both two-objective and single-objective approaches. 15 optimal states obtain from two-objective optimization. The results obtained from single-objective optimization indicate that even when a low pressure drop is significantly important for designer, nanofluids with high concentrations can be employed. Meanwhile, when both high heat transfer and low pressure drop are important, a small helix angle can be used. In addition, using large overlapping is recommended only when the heat transfer enhancement is considerably more important than the reduction of the pressure drop.
dc.publisherElsevier
dc.rights© 2015 Elsevier Ltd.
dc.sourceEnergy
dc.subjectNanofluid
dc.subjectTwo-phase mixture model
dc.subjectHeat exchanger
dc.subjectHelical baffles
dc.subjectOptimization
dc.titleA novel application for energy efficiency improvement using nanofluid in shell and tube heat exchanger equipped with helical baffles
dc.typeJournal article
local.identifier.citationvolume93
dc.date.issued2015-12-15
local.publisher.urlhttp://www.elsevier.com/
local.type.statusAccepted Version
local.contributor.affiliationHangi, M., Research School of Engineering, The Australian National University
local.bibliographicCitation.startpage2229
local.bibliographicCitation.lastpage2240
local.identifier.doi10.1016/j.energy.2015.10.120
dcterms.accessRightsOpen Access
dc.provenancehttp://www.sherpa.ac.uk/romeo/issn/0360-5442/..."Author's post-print on open access repository after an embargo period of between 12 months and 48 months" from SHERPA/RoMEO site (as at 21/09/16).
CollectionsANU Research Publications

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