Life performance prediction of natural gas combined cycle power plant with intelligent algorithms

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dc.contributor.authorKaraçor M.
dc.contributor.authorUysal A.
dc.contributor.authorMamur H.
dc.contributor.authorŞen G.
dc.contributor.authorNil M.
dc.contributor.authorBilgin M.Z.
dc.contributor.authorDoğan H.
dc.contributor.authorŞahin C.
dc.date.accessioned2024-07-22T08:05:37Z
dc.date.available2024-07-22T08:05:37Z
dc.date.issued2021
dc.description.abstractThe efficient use of a system is enabled with the life performance estimations. Thus, the effective use of underground resources is realized especially natural gas. Based on this, life performance models were generated to aim of improving the efficient use of energy for a combined cycle power plant (CCPP) of 243 MW installed in Izmir, Turkey by using fuzzy logic (FL) and artificial neural network (ANN) in this study. Therefore, output power estimations were carried out. Depending on the developed models, an estimation of the energy that the CCPP can produce and provide to the interconnected system in the following years has been made. According to the obtained results, the error prediction rates of FL and ANN models were determined. It was found that while the energy relative error estimation value that can be produced between the years calculated in modeling using FL varies between 0.59% and 3.54%, this value was found to vary between 0.001% and 0.84% in modeling using ANN. This result shows that the ANN model is more suitable for the life performance estimations of such a non-linear system. © 2021 Elsevier Ltd
dc.identifier.DOI-ID10.1016/j.seta.2021.101398
dc.identifier.issn22131388
dc.identifier.urihttp://akademikarsiv.cbu.edu.tr:4000/handle/123456789/13202
dc.language.isoEnglish
dc.publisherElsevier Ltd
dc.subjectIzmir [Turkey]
dc.subjectTurkey
dc.subjectMeleagris gallopavo
dc.subjectCombined cycle power plants
dc.subjectFossil fuel power plants
dc.subjectFuzzy inference
dc.subjectFuzzy neural networks
dc.subjectLinear systems
dc.subjectNatural gas
dc.subjectNatural gasoline plants
dc.subjectArtificial neural network models
dc.subjectCombined-cycle power plant
dc.subjectElectricity production
dc.subjectEnergy
dc.subjectFuzzy modeling
dc.subjectFuzzy-Logic
dc.subjectLife performance
dc.subjectNeural-networks
dc.subjectPerformance estimation
dc.subjectPerformance prediction
dc.subjectalgorithm
dc.subjectartificial neural network
dc.subjectcombined heat and power
dc.subjectenergy use
dc.subjectfuzzy mathematics
dc.subjectnatural gas
dc.subjectnumerical model
dc.subjectpower plant
dc.subjectprediction
dc.subjectForecasting
dc.titleLife performance prediction of natural gas combined cycle power plant with intelligent algorithms
dc.typeArticle

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