Rodyti trumpą aprašą

dc.rights.licenseKūrybinių bendrijų licencija / Creative Commons licenceen_US
dc.contributor.authorGrzebielec, Andrzej
dc.contributor.authorSzelągowski, Adam
dc.contributor.authorŁapka, Piotr
dc.contributor.authorCieślikiewicz, Łukasz
dc.contributor.authorSeredyński, Mirosław
dc.date.accessioned2024-02-23T13:04:36Z
dc.date.available2024-02-23T13:04:36Z
dc.date.issued2023
dc.date.submitted2023-01-23
dc.identifier.issn2029-7106en_US
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/153931
dc.description.abstractOrganic Rankine Cycle (ORC) devices are systems that implement the basic Rankine cycle, but use an organic medium instead of water. These devices can use low-temperature heat, but it should be remembered that the achievable efficiency decreases as the source temperature decreases. Previous publications have shown that maximizing capacity, rather than efficiency, is the main goal of the ORC system. This can be achieved by establishing the correct operating conditions, while ensuring the correct mass flow of the working medium to each component. For instance, the expander must reach the required rotational speed. This work focuses on using genetic algorithms to determine optimal operating conditions and maximize capacity. A genetic algorithm was developed for a newly built ORC device, enabling determination of optimal operating conditions. The results were implemented in the device driver and validated experimentally, confirming that genetic algorithms can easily achieve the desired effect.en_US
dc.format.extent11 p.en_US
dc.format.mediumTekstas / Texten_US
dc.language.isoenen_US
dc.relation.isreferencedbyScopusen_US
dc.relation.isreferencedbyConference Proceedings Citation Index - Social Science & Humanities (Web of Science)en_US
dc.relation.urihttps://etalpykla.vilniustech.lt/handle/123456789/153866en_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.source.urihttps://vilniustech.lt/international-conference-environmental-engineering/publications-of-the-conference-proceedings/363122en_US
dc.subjectORCen_US
dc.subjectenergy efficiencyen_US
dc.subjectgenetic algorithmen_US
dc.subjectR600aen_US
dc.subjectprocess optimizationen_US
dc.titleThe use of a genetic algorithm to determine the optimal operating conditions for a low-temperature ORC systemen_US
dc.typeKonferencijos publikacija / Conference paperen_US
dcterms.accessRightsLaisvai prieinamas / Openly availableen_US
dcterms.accrualMethodRankinis pateikimas / Manual submissionen_US
dcterms.alternativeEnergy for Buildingsen_US
dcterms.dateAccepted2023-02-20
dcterms.issued2023
dcterms.licenseCC BYen_US
dcterms.references29en_US
dc.description.versionTaip / Yesen_US
dc.type.pubtypeP1a - Straipsnis konferencijos darbų leidinyje Web of Science DB / Paper in conference publication in Web of Science DBen_US
dc.contributor.orcidhttps://orcid.org/0000-0003-3320-5929, Grzebielec Andrzej
dc.contributor.orcidhttps://orcid.org/0000-0003-1017-1949, Szelągowski Adam
dc.contributor.orcidhttps://orcid.org/0000-0003-3039-9588, Łapka Piotr
dc.contributor.orcidhttps://orcid.org/0000-0002-5905-990X, Cieślikiewicz Łukasz
dc.contributor.orcidhttps://orcid.org/0000-0002-0341-6250, Seredyński Mirosław
dc.contributor.institutionWarsaw University of Technologyen_US
dcterms.sourcetitle12th International Conference “Environmental Engineering” (ICEE-2023)en_US
dc.identifier.eisbn9786094763427en_US
dc.identifier.eissn2029-7092en_US
dc.publisher.nameVilnius Gediminas Technical Universityen_US
dc.publisher.nameVilniaus Gedimino technikos universitetasen_US
dc.publisher.countryLithuaniaen_US
dc.publisher.countryLietuvaen_US
dc.publisher.cityVilniusen_US
dc.description.fundingorganizationNational Centre for Research and Development (Poland)en_US
dc.description.grantnumberMAZOWSZE/ 0181/19en_US
dc.date.firstonline2023-10-23
dc.identifier.doihttps://doi.org/10.3846/enviro.2023.911en_US


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