Application of artificial neural network model for forecast energy efficiency of the cryogenic liquefaction system in the meaning of sustainability

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dc.contributor.authorAltıntaş, Elif
dc.contributor.authorTolon, Mert
dc.contributor.authorKarabuğa, Arif
dc.contributor.authorUtlu, Zafer
dc.date.accessioned2024-06-13T20:18:21Z
dc.date.available2024-06-13T20:18:21Z
dc.date.issued2021
dc.departmentFakülteler, Mühendislik Fakültesi, İnşaat Mühendisliği Bölümü
dc.description.abstractSustainable engineering approaches are a necessity for improving efficiency. For this reason, the artificial neural network (ANN) model is used to forecast different types of energy efficiency problems. In this paper, a comparison is made between a simple model based on ANN which gives meaningful findings in terms of thermodynamics and a model that is based on thermodynamic principles as auditing and predicting tool to forecast exergy efficiency of the system by applying different ANN architecture types with 441 data of experimental measurements obtained from liquefied nitrogen and analysed the Engineering Equation Solver (EES) program to make an exergy analysis.
dc.identifier.doi10.1504/IJGW.2021.116718
dc.identifier.endpage444
dc.identifier.issn1758-2083
dc.identifier.issn1758-2091
dc.identifier.issue3-4
dc.identifier.scopus2-s2.0-85112103253
dc.identifier.scopusqualityQ3
dc.identifier.startpage420
dc.identifier.urihttps://doi.org/10.1504/IJGW.2021.116718
dc.identifier.urihttps://hdl.handle.net/11501/1344
dc.identifier.volume24
dc.identifier.wosWOS:000683189400011
dc.identifier.wosqualityQ4
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorTolon, Mert
dc.institutionauthorid0000-0002-0131-2976
dc.language.isoen
dc.publisherInderscience Enterprises Ltd
dc.relation.ispartofInternational Journal of Global Warming
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectSustainability
dc.subjectSustainable Engineering Approach
dc.subjectThermodynamic Analysis
dc.subjectCryogenic Liquefaction System
dc.subjectArtificial Neural Networks
dc.subjectANNs
dc.titleApplication of artificial neural network model for forecast energy efficiency of the cryogenic liquefaction system in the meaning of sustainability
dc.typeArticle

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