Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/53313

TítuloEnergy rating methodology for light-duty vehicles: geographical impact
Autor(es)Marques, Sara
Reis, Luis
Afonso, João L.
Silva, Carla
Palavras-chaveAlternative technologies
Countries energy balance
Decision support
Energy dependency score
Light-duty vehicles
DataMar-2016
EditoraSpringer Science+Business Media
RevistaEnvironment, Development and Sustainability
Resumo(s)The aim of this paper was to describe a new energy dependency score methodology and its consequent application to cars sold in twelve regions: Europe (EU-28) and eleven specific countries worldwide (Australia, Brazil, China, India, Japan, Norway, Portugal, Russia, Saudi Arabia, South Africa and USA). This methodology was developed as a potential tool to inform consumers of their choice impact on the country’s economy. This methodology is based on primary energy assessments and origins for each energy pathway associated with a gasoline-, diesel-, natural gas (used for H 2 production)- or electricity (balanced with country electricity mix)-powered vehicle. An energy dependency index was attributed to the best-case (100 % endogenous production) and worst-case (0 % endogenous production) scenarios and consequently weighted with vehicle fuel consumption. This enabled obtaining an energy dependency index (10–0). This index could be assigned to an environmental and social index to provide a sustainability index and therefore complement a road vehicle environmental rating system, providing a combined index rating. Internal combustion engine vehicles and hybrid vehicles (that have oil products as energy source) rate the lowest for almost all locations, with the exception of regions that are energy independent (Norway, Saudi Arabia or Russia). Electric vehicles rank higher when comparing to the other technologies analyzed for all locations in this study. The plug-in hybrid electric vehicle shows generally a rank in an intermediate place, except for Japan where it scores lower than all other technologies.
TipoArtigo
URIhttps://hdl.handle.net/1822/53313
DOI10.1007/s10668-016-9776-9
ISSN1387-585X
Versão da editorahttps://link.springer.com/article/10.1007/s10668-016-9776-9
Arbitragem científicayes
AcessoAcesso restrito autor
Aparece nas coleções:CAlg - Artigos em revistas internacionais / Papers in international journals

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