Assessment of solar radiation components in Brazil using the BRL model
Author
dc.contributor.author
Lemos, Leonardo F.L.
Author
dc.contributor.author
Starke, Allan R.
Author
dc.contributor.author
Boland, John
Author
dc.contributor.author
Cardemil Iglesias, José
Author
dc.contributor.author
Machado, Rubinei D.
Author
dc.contributor.author
Colle, Sergio
Admission date
dc.date.accessioned
2019-05-29T13:39:05Z
Available date
dc.date.available
2019-05-29T13:39:05Z
Publication date
dc.date.issued
2017
Cita de ítem
dc.identifier.citation
Renewable Energy 108 (2017) 569-580
Identifier
dc.identifier.issn
18790682
Identifier
dc.identifier.issn
09601481
Identifier
dc.identifier.other
10.1016/j.renene.2017.02.077
Identifier
dc.identifier.uri
https://repositorio.uchile.cl/handle/2250/169011
Abstract
dc.description.abstract
Quality data regarding direct and diffuse solar irradiation is crucial for the proper design and simulation of solar systems. This information, however, is not available for the entire Brazilian territory. However, hourly measurements of global irradiation for more than seven hundred stations over the territory are available. Several mathematical models have been developed over the past few decades aiming to deliver estimations of solar irradiation components when only measurement of global irradiation is available. In order to provide reliable estimates of diffuse and direct radiation in Brazil, the recently presented Boland Ridley Laurent (BRL) model is adjusted to the particular features of Brazilian climate data, developing adjusted BRL models on minute and hourly bases. The model is adjusted using global, diffuse and direct solar irradiation measurements at nine stations, which are maintained by INPE in the frame of the SONDA project. The methodology for processing and analyzing the quality of the data-sets and the procedures to build the adjusted BRL model is thoroughly described. The error indicators show that the adjusted BRL model performs better or similarly to the original one, for both diffuse and DNI estimates calculated for each analyzed Brazilian station. For instance, the original BRL model diffuse fraction estimates have MeAPE errors ranging from 16% to 51%, while the adjusted BRL model gives errors from 9% to 26%. Regarding the comparison between the minute and hourly adjusted models, it can be concluded that both performed similarly, indicating that the logistic behavior of the original BRL model is well suited to make estimates in sub-hourly data sets. Based on the results, the proposed adjusted model can be used to provide reliable estimates of the distribution of direct and diffuse irradiation, and therefore, can help to properly design and reduce the risks associated to solar energy systems.