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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Spatiotemporal model for estimating electric vehicles adopters

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Autor(es):
Rodrigues, Joao L. [1] ; Bolognesi, Hugo M. [2] ; Melo, Joel D. [1] ; Heymann, Fabian [3, 4] ; Soares, F. J. [5]
Número total de Autores: 5
Afiliação do(s) autor(es):
[1] Fed Univ ABC UFABC, Engn Modeling & Appl Social Sci Ctr, Santo Andre, SP - Brazil
[2] State Univ Campinas UNICAMP, FEM, Campinas, SP - Brazil
[3] Univ Porto, Porto - Portugal
[4] Inst Syst & Comp Engn Technol & Sci INESC TEC, Porto - Portugal
[5] INESC TEC, Porto - Portugal
Número total de Afiliações: 5
Tipo de documento: Artigo Científico
Fonte: ENERGY; v. 183, p. 788-802, SEP 15 2019.
Citações Web of Science: 0
Resumo

The use of fossil fuel vehicles is one of the factors responsible for the degradation of air quality in urban areas. In order to reduce levels of air pollution in metropolitan areas, several countries have encouraged the use of electric vehicles in the cities. However, due to the high investment costs in this class of vehicles, it is expected that the spatial distribution of electric vehicles' adopters will be heterogeneous. The additional charging power required by electric vehicles' batteries can change operation and expansion planning of power distribution utilities. In addition, urban planning agencies should analyze the most suitable locations for the construction of electric vehicle recharging stations. Thus, in order to provide information for the planning of electric mobility services in the city, this paper presents a spatiotemporal model for estimating the rate of electric vehicles' adopters per subareas. Results are spatial databases that can be viewed in geographic information systems to observe regions with greater expectancy of residential electric vehicle adopters. These outcomes can help utilities to develop new services that ground on the rising availability of electric mobility in urban zones. (C) 2019 Elsevier Ltd. All rights reserved. (AU)

Processo FAPESP: 19/00466-6 - Planejamento espacial de micro redes considerando energia renováveis e veículos elétrico
Beneficiário:Joel David Melo Trujillo
Linha de fomento: Auxílio à Pesquisa - Regular
Processo FAPESP: 17/22577-9 - Sistemas de informação geográfica como ferramenta de auxílio ao planejamento das redes de distribuição de energia elétrica
Beneficiário:Joel David Melo Trujillo
Linha de fomento: Auxílio à Pesquisa - Regular