%0 Audiovisual Material
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%@usergroup seeger05
%3 IRS2008 pôster Daniel Vinicius Fiorin Statistical correlation...pdf
%B International Radiation Symposium, (IRS).
%X A suitable evaluation of the renewable energy resource is required for planning and decision making in energy policies, especially in developing countries in order to establish the best use and management of its energy resources. The renewable energy assessment and forecast, in particular wind and solar energy, can be achieved through ground data measurements and radiative transfer models. In Brazil, the SONDA project have installed a ground data acquisition network in order to provide reliable ground data to develop and improve numerical models to assess the energy resource in Brazilian territory. One of SONDA measurement site is located at the Southern Space Observatory - SSO/CRS/CIE/INPE-MCT, in São Martinho da Serra, South of Brazil. It has one CM21 and CM22 Pyrhanometers (Kipp & Zonen) to global and diffuse solar irradiation measurement, one Pyrheliometer NIP (Eppley Laboratory,Inc) to acquire direct beam solar irradiation data and a Total Sky Imager TSI-440 (YES, Inc) to evaluate the opaque and thin cloudiness fractions The solar radiation that reaches the top of atmosphere go through absorption and scattering processes caused by aerosols, atmospheric gases and clouds until incides at the surface. The cloudiness is the main impact factor on solar irradiation at the surface, and the major cause of deviations on estimates provided by numerical models. These work aims at studying the cloud cover influence on diffuse-to-direct-beam ratio of solar irradiance (parameter DDB) and diffuse-to-global solar irradiation ratio (parameter K). It was analyzed data collected for zenithal solar angle (SZA) lesser than 75deg. between September/2005 to September/2007. It was observed the radiation behavior as function of total, opaque and thin cloudiness fractions. Using part of the ground data, empirical models were developed to estimate the radiation parameters in function of ground data for cloudiness fractions by using polynomial functions and multiple linear regressions (RLM). It was observed that opaque cloudiness fraction showed more influence on radiation parameters than thin cloudiness fraction. The deviations Root Mean Square Error (RMSE), roughly 20%, and Mean Bias Error (MBE), around 1%, were calculated using the remaining data. The correlation factor among solar parameters and cloud fractions were around 0.90, however, it was observed larger correlations in some SZA intervals. The results are important for a better knowledge of the influence that different cloudy thickness can offer on surface solar irradiation and to improve radiative transfer models.
%T Statistical correlations between solar radiation parameters and cloudiness fractions at the Brazilian Southern Space Observatory
%@format On-line
%8 24-29 agosto
%@visibility shown
%@group RSU-CIE-INPE-MCT-BR
%@group RSU-CIE-INPE-MCT-BR
%@group DAE-CEA-INPE-MCT-BR
%@group DMA-CPT-INPE-MCT-BR
%@group RSU-CIE-INPE-MCT-BR
%@group RSU-CIE-INPE-MCT-BR
%@group CPT-CPT-INPE-MCT-BR
%J São José dos Campos
%@secondarykey INPE--MAO/
%2 sid.inpe.br/mtc-m18@80/2008/12.04.15.40.56
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%I Instituto Nacional de Pesquisas Espaciais
%4 sid.inpe.br/mtc-m18@80/2008/12.04.15.40
%D 2008
%A Fiorin, Daniel Vinicius,
%A Schuch, Nelson Jorge,
%A Martins, Fernando Ramos,
%A Pereira, Enio Bueno,
%A Brackmann, Rodrigo,
%A Ceconi, Marcio,
%A Guarnieri, Ricardo André,
%C Foz do Iguaçu, Argentina
%@area CEA