Optimization of an adapted Kalina cycle to an actual municipal solid waste power plant by using NSGA-II method

MakaleYalnız künyeScopus SJRQ1
  • SDG 7 · Erişilebilir ve Temiz Enerji
  • SDG 9 · Sanayi, Yenilikçilik ve Altyapı
  • SDG 12 · Sorumlu Üretim ve Tüketim
  • SDG 13 · İklim Eylemi

Özet

In this paper thermodynamic and thermoeconomic analyses and even optimization of a Kalina cycle (KC) which is adapted to an actual solid waste power plant with a 5.66 MW installed capacity are presented as an alternative solution which is utilized to produce additional power from the exhaust gas of the plant. Up to now there is almost no study related with an adapted KC to a typical municipal solid waste power plant, and also no study based on an optimization, thermodynamic and thermoeconomic analyses of such a system together. All these facts show the novelty of this study. Herein the waste heat with a temperature of 566 °C is utilized by the adapted KC. According to the analyses of the first and second law of thermodynamics on the system, it is deduced that the electricity of 954.6 kW can be produced with the exergy efficiency of 24.15%. Furthermore, this power production can be improved by using non-dominated sorting genetic algorithm method (NSGA-II) in MATLAB software program. According to the optimization study, the deviations of the net power output and the total cost rate are found to be +3.62% and −1.47 $/h, respectively for the cycle.

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Tam Kayıt
AlanDeğerDil
dc.contributor.authorÖzahi, Emrah
dc.contributor.authorTozlu, Alperen
dc.date.accessioned2026-10-29T19:09:02.822924485Z
dc.date.available2026-10-29T19:09:02.822924485Z
dc.date.issued2020
dc.description.abstractIn this paper thermodynamic and thermoeconomic analyses and even optimization of a Kalina cycle (KC) which is adapted to an actual solid waste power plant with a 5.66 MW installed capacity are presented as an alternative solution which is utilized to produce additional power from the exhaust gas of the plant. Up to now there is almost no study related with an adapted KC to a typical municipal solid waste power plant, and also no study based on an optimization, thermodynamic and thermoeconomic analyses of such a system together. All these facts show the novelty of this study. Herein the waste heat with a temperature of 566 °C is utilized by the adapted KC. According to the analyses of the first and second law of thermodynamics on the system, it is deduced that the electricity of 954.6 kW can be produced with the exergy efficiency of 24.15%. Furthermore, this power production can be improved by using non-dominated sorting genetic algorithm method (NSGA-II) in MATLAB software program. According to the optimization study, the deviations of the net power output and the total cost rate are found to be +3.62% and −1.47 $/h, respectively for the cycle.
dc.description.sponsorshipTUB?TAK
dc.description.sponsorshipTUBİTAK
dc.description.sponsorshipTürkiye Bilimsel ve Teknolojik Araştirma Kurumu, TÜBITAK, (114M142)
dc.identifier.doi10.1016/j.renene.2019.10.102
dc.identifier.eissn1879-0682
dc.identifier.endpage1156
dc.identifier.issn0960-1481
dc.identifier.scopus2-s2.0-85074394353
dc.identifier.startpage1146
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/bayburt/11984
dc.identifier.volume149
dc.identifier.wosWOS:000517856500096
dc.language.isoen
dc.publisherElsevier Ltd
dc.relation.ispartofRenewable Energy
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectGenetic algorithm
dc.subjectKalina cycle
dc.subjectOptimization
dc.subjectWaste heat recovery
dc.subject.classificationGreen & Sustainable Science & Technology
dc.subject.classificationEnergy & Fuels
dc.subject.classificationScience & Technology - Other Topics
dc.subject.otherElectric power generation
dc.subject.otherGenetic algorithms
dc.subject.otherMATLAB
dc.subject.otherOptimization
dc.subject.otherPower plants
dc.subject.otherThermodynamics
dc.subject.otherWaste heat
dc.subject.otherWaste heat utilization
dc.subject.otherAlternative solutions
dc.subject.otherExergy efficiencies
dc.subject.otherKalina cycle
dc.subject.otherMATLAB software program
dc.subject.otherNon- dominated sorting genetic algorithms
dc.subject.otherOptimization studies
dc.subject.otherSecond Law of Thermodynamics
dc.subject.otherThermoeconomic analysis
dc.subject.othergenetic algorithm
dc.subject.othermunicipal solid waste
dc.subject.othernumerical method
dc.subject.otherpower plant
dc.subject.otherrecovery
dc.titleOptimization of an adapted Kalina cycle to an actual municipal solid waste power plant by using NSGA-II method
dc.typeArticle
rdl.citation.openalex49
rdl.citation.scopus45
rdl.citation.wos36
rdl.oa.statusclosed
rdl.scopus.quartileQ1
rdl.sdgSDG07
rdl.sdgSDG12
rdl.sdgSDG09
rdl.sdgSDG13
rdl.source.indexSCOPUS
rdl.source.indexWOS
rdl.wos.indexScience Citation Index Expanded (SCI-EXPANDED)