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Performance simulation of a double-reheat Rankine cycle mercury turbine system based on exergy

dc.contributor.authorGonca, Guven
dc.contributor.authorGenc, Ibrahim
dc.date.accessioned2026-06-27T14:17:52Z
dc.date.issued2019
dc.description.abstractIn this paper, a performance investigation of a Rankine cycle mercury turbine system operating with methane and including two closed feed mercury heaters, one open feed mercury heater and three turbines is comprehensively performed. The most known performance specifications such as ecological coefficient of performance, exergy efficiency, exergy destruction, net power and net power density, and are utilised to examine and optimise the performance of the system. The influences of boiler and condenser temperatures, the first and second reheat stage temperatures, extracted mercury temperature on the performance properties of the system have been comprehensively investigated. Beside the mathematical model investigated in the paper, an artificial neural network (ANN) model is also presented and it is shown that a good approximation is computed with only five parameters.en
dc.description.urihttps://doi.org/10.1504/ijex.2019.104099
dc.identifier.doi10.1504/ijex.2019.104099
dc.identifier.eissn1742-8300
dc.identifier.endpage403
dc.identifier.issn1742-8297
dc.identifier.issue4
dc.identifier.startpage392
dc.identifier.urihttps://hdl.handle.net/20.500.14981/58948
dc.identifier.volume30
dc.identifier.wos000502769100006
dc.language.isoeng
dc.publisherINDERSCIENCE ENTERPRISES LTD
dc.relation.ispartofINTERNATIONAL JOURNAL OF EXERGY
dc.subjectmercury turbine
dc.subjectoptimisation
dc.subjectreheated Rankine cycle
dc.subjectECOP
dc.subjectexergy
dc.subjectANN model
dc.subjectFLUID SELECTION
dc.subjectENERGY
dc.subjectOPTIMIZATION
dc.subjectDESIGN
dc.subjectSINGLE
dc.subjectWATER
dc.subjectThermodynamics
dc.subjectEnergy & Fuels
dc.titlePerformance simulation of a double-reheat Rankine cycle mercury turbine system based on exergy
dc.typeArticle
dspace.entity.typePublication
local.import.sourceWOS

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