Rodyti trumpą aprašą

dc.rights.licenseKūrybinių bendrijų licencija / Creative Commons licenceen_US
dc.contributor.authorJaržemskis, Andrius
dc.contributor.authorJaržemskienė, Ilona
dc.date.accessioned2024-07-09T11:59:48Z
dc.date.available2024-07-09T11:59:48Z
dc.date.issued2022
dc.date.submitted2022-03-04
dc.identifier.isbn9786094762888en_US
dc.identifier.issn2029-4441en_US
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/154616
dc.description.abstractThe aim of this article is to present a complex model for forecasting the required investments based on the forecast of the increase in the number of electric vehicles and their demand for energy and investments. Scientific problem is that current approach on forecasting of electric vehicles is to abstract, forecast models can’t be transferred from country to country. This article proposes a model of forecasting investments based on the forecast of the increase in the number of electric vehicles and their demand on energy. The findings of the Lithuanian case analysis, which is expressed in three scenarios, focuses on two trends. The most promising scenario projects 319 470 electric vehicles by 2030 which will demand for 1.09 TWh of electricity, representing 8.4–9.9 percent of the total energy consumption in the country. It demands EUR 230.0 million in the low-voltage grid and EUR 209.0 million in the charging stations. Main limitations are related to statistics available for modelling and human behaviour uncertainty, especially in evaluation impact of measures to foster use of electric vehicles.en_US
dc.format.extent10 p.en_US
dc.format.mediumTekstas / Texten_US
dc.language.isoenen_US
dc.relation.urihttps://etalpykla.vilniustech.lt/handle/123456789/154478en_US
dc.rightsAttribution 4.0 Internationalen_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_US
dc.source.urihttps://bm.vgtu.lt/index.php/verslas/2022/paper/view/753en_US
dc.subjectelectric vehiclesen_US
dc.subjectcharging stationsen_US
dc.subjectdemand forecasten_US
dc.titleForecast methods for investment of country wide electric vehicle charging stations: Lithuanian caseen_US
dc.typeKonferencijos publikacija / Conference paperen_US
dcterms.accessRightsLaisvai prieinamas / Openly availableen_US
dcterms.accrualMethodRankinis pateikimas / Manual submissionen_US
dcterms.alternativeGreen economy and sustainable developmenten_US
dcterms.dateAccepted2022-04-07
dcterms.issued2022-05-13
dcterms.licenseCC BYen_US
dcterms.references28en_US
dc.description.versionTaip / Yesen_US
dc.contributor.institutionVilnius Universityen_US
dc.contributor.institutionVilniaus Gedimino technikos universitetasen_US
dc.contributor.institutionVilnius Gediminas Technical Universityen_US
dc.contributor.facultyTransporto inžinerijos fakultetas / Faculty of Transport Engineeringen_US
dcterms.sourcetitle12th International Scientific Conference “Business and Management 2022”en_US
dc.identifier.eisbn9786094762895en_US
dc.identifier.eissn2029-929Xen_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.identifier.doihttps://doi.org/10.3846/bm.2022.753en_US


Šio įrašo failai

Thumbnail
Thumbnail

Šis įrašas yra šioje (-se) kolekcijoje (-ose)

Rodyti trumpą aprašą

Kūrybinių bendrijų licencija / Creative Commons licence
Išskyrus atvejus, kai nurodyta kitaip, šio įrašo licencija apibrėžiama taipKūrybinių bendrijų licencija / Creative Commons licence