Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/70678

TítuloModelling perception and attitudes towards renewable energy technologies
Autor(es)Ribeiro, Fernando
Ferreira, Paula Varandas
Araújo, Maria Madalena Teixeira de
Braga, A. C.
Palavras-chaveRenewable energy technologies
Public opinion
Ordered logistic regression
Binary logistic regression
Excel simulation tool
DataJul-2018
EditoraElsevier 1
RevistaRenewable Energy
Resumo(s)While renewable energy technologies (RET) increase their share in power generation systems worldwide, some questions remain open, namely those concerning the opinion of the populations on new projects of these technologies. Given the long period of planning and large capital sums required by RET and, in some cases, the fact of being subsidized, it is desirable for decision-makers to acknowledge the public opinion and at least perceive if the opinions are rooted on biased perceptions. In this paper we propose a methodology for public perception and awareness assessment, involving an initial phase of data collection by means of a survey, followed by a phase of regression models construction resulting in predictive models of expected perceptions and attitudes towards RET. The models were translated in a free and easy to use computational Excel application and its usefulness was demonstrated for the case of four electricity RET in Portugal: hydro, wind, biomass and solar. (C) 2018 Elsevier Ltd. All rights reserved.
TipoArtigo
URIhttps://hdl.handle.net/1822/70678
DOI10.1016/j.renene.2018.01.104
ISSN0960-1481
e-ISSN1879-0682
Versão da editorahttps://www.sciencedirect.com/science/article/pii/S0960148118301149
Arbitragem científicayes
AcessoAcesso aberto
Aparece nas coleções:CAlg - Artigos em revistas internacionais / Papers in international journals

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