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dc.contributor.authorMalyavina, Elena
dc.contributor.authorKryuchkova, Olga
dc.date.accessioned2026-04-28T07:05:06Z
dc.date.available2026-04-28T07:05:06Z
dc.date.issued2011
dc.identifier.isbn9789955288282en_US
dc.identifier.issn2029-7106en_US
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/160398
dc.description.abstractThe purpose of the offered research is creation of a method to estimate annual power consumption by central air conditioning systems (ACS), using modern computer possibilities. The developed method is aimed at determining thermal, electric power and water consumption during a year by ACS taking into account their operation in different hours of the day and optimization of the inflow air treatment pattern on the basis of power input minimization. The MGSU Heating and Ventilation Chair has worked out a universal program for computer calculation of ACS power and water consumption. The analysis algorithm is made on the basis of search of the air temperature and relative humidity combinations from minimum to maximum values, which lead to determination of a zone having these combinations. To solve the above tasks provision has been made of a climatic data base to analyze operating modes and calculation of power consumption by ACS operating in various periods during 24 hours. The program computer performance enables multiple variant calculations of power consumption by direct-flow ACS for different purpose premises: a dining room, billiards, sports hall and office.en_US
dc.format.extent5 p.en_US
dc.format.mediumTekstas / Texten_US
dc.language.isoenen_US
dc.relation.urihttps://etalpykla.vilniustech.lt/handle/123456789/160185en_US
dc.source.urihttp://enviro2011.vgtu.lt/Abstracts/3/134.htmlen_US
dc.subjectair conditioning systemsen_US
dc.subjectpower consumptionen_US
dc.subjectmethoden_US
dc.subjectclimatic basisen_US
dc.subjectheat and humidity area combinationsen_US
dc.subjectbypassen_US
dc.subjectsecondary preheatingen_US
dc.titleAnalysis of annual power consumption by central air conditioning systems using the climatic data stochastic statistics modelen_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.issued2011-05-20
dcterms.references7en_US
dc.description.versionTaip / Yesen_US
dc.contributor.institutionMoscow State University of Civil Engineering (MSUCE)en_US
dcterms.sourcetitle8th International Conference “Environmental Engineering” (ICEE-2011)en_US
dc.identifier.eisbn9789955288275en_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


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