dc.contributor.author |
Silva, Ricardo Ezequiel |
|
dc.contributor.author |
Fagundes, Regiane Slongo |
|
dc.contributor.author |
Ferruzzi, Yurri |
|
dc.date.accessioned |
2017-02-13T20:26:31Z |
|
dc.date.available |
2017-02-13T20:26:31Z |
|
dc.date.issued |
2010 |
|
dc.identifier.citation |
SILVA, Ricardo Ezequiel; FAGUNDES, Regiane Slongo; FERRUZZIi, Yurri. Computational statistical analysis of the wind and solar potential for electricity generation. Vetor, v. 20, n. 2, p. 82-91, 2010. Disponível em: <https://www.seer.furg.br/vetor/article/view/2067>. Acesso em: 12 dez. 2016. |
pt_BR |
dc.identifier.issn |
2358-3452 |
|
dc.identifier.uri |
http://repositorio.furg.br/handle/1/7072 |
|
dc.description.abstract |
This paper describes an application developed through scientific project initiation. The purpose is to
provide information to assess the energy potential of renewable energy such as wind and solar
radiation. The information submitted by the program is obtained from weather stations that collect data
on temperature, wind speed and intensity of solar radiation. The data are processed using statistical
techniques that allow summarizing a large volume of measurements. The result is information
presented in tables, graphs and reports, which measure the energy output of these alternative sources
in electricity generation. |
pt_BR |
dc.language.iso |
eng |
pt_BR |
dc.publisher |
EDGRAF |
pt_BR |
dc.rights |
open access |
pt_BR |
dc.subject |
Renewable |
pt_BR |
dc.subject |
Energy |
pt_BR |
dc.subject |
Electricity |
pt_BR |
dc.title |
Computational statistical analysis of the wind and solar potential for electricity generation |
pt_BR |
dc.type |
article |
pt_BR |