Evaluation of the solar irradiance variability in Brazil using satellite-based Variability Score

被引:0
|
作者
Luiz, Eduardo Weide [1 ]
Martins, Fernando Ramos [2 ]
Goncalves, Andre Rodrigues [1 ]
Costa, Rodrigo Santos [1 ]
de Souza, Jefferson Goncalves [1 ]
Lopes de Lima, Francisco J. [1 ]
Pes, Marcelo Pizzuti [1 ]
Pereira, Enio Bueno [1 ]
机构
[1] Natl Inst Space Res, Ctr Earth Syst Sci, Sao Jose Dos Campos, SP, Brazil
[2] Brazilian Fed Univ Sao Paulo, Santos, SP, Brazil
关键词
Solar variability; cloud cover; satellite data;
D O I
10.18086/eurosun2018.09.09
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
One of the main barriers to increase the solar energy share is its intermittency. In this work, we compared ground observations in different timescales (1-, 5- and 30-minutes) with satellite effective cloud cover coefficient variability, with 30-minutes time resolution. The smallest discrepancies happen when analyzing the same timescale (30-minutes), where the Pearson correlation for all sites was up 0.94. However, when the frequency of the solar irradiance measurements increased, the correlation decreased. A solution may be the use of downscaling methods, which may be a topic for future work. The most important result achieved in this study was the development of a simple methodology for evaluating the surface solar irradiance variability using only the cloud cover obtained from visible satellite imagery. The results denoted that the proposed methodology is an interesting alternative to evaluate the solar irradiance variability over large areas with satisfactory accuracy, where no ground data is available.
引用
收藏
页码:1642 / 1647
页数:6
相关论文
共 50 条
  • [1] Do modelled or satellite-based estimates of surface solar irradiance accurately describe its temporal variability?
    Bengulescu, Marc
    Blanc, Philippe
    Boilley, Alexandre
    Wald, Lucien
    ADVANCES IN SCIENCE AND RESEARCH, 2017, 14 : 35 - 48
  • [2] On the variability of whitecap fraction using satellite-based observations
    Salisbury, Dominic J.
    Anguelova, Magdalena D.
    Brooks, Ian M.
    JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 2013, 118 (11) : 6201 - 6222
  • [3] An Assessment of the Ability of a Geostationary Satellite-Based Model to Characterize the Mesoscale Variability of Solar Irradiance Over the Lower Fraser Valley
    Benchimol, N.
    Hay, J. E.
    ATMOSPHERE-OCEAN, 1986, 24 (02) : 128 - 144
  • [4] Characterization of surface solar-irradiance variability using cloud properties based on satellite observations
    Watanabe, Takeshi
    Oishi, Yu
    Nakajima, Takashi Y.
    SOLAR ENERGY, 2016, 140 : 83 - 92
  • [5] Reliability Predictors for Solar Irradiance Satellite-Based Forecast
    Cros, Sylvain
    Badosa, Jordi
    Szantai, Andre
    Haeffelin, Martial
    ENERGIES, 2020, 13 (21)
  • [6] SOLAR IRRADIANCE VARIABILITY
    NIKOLSKY, GA
    METROLOGIA, 1991, 28 (03) : 281 - 283
  • [7] Solar irradiance variability
    Solanki, S. K.
    Unruh, Y. C.
    ASTRONOMISCHE NACHRICHTEN, 2013, 334 (1-2) : 145 - 150
  • [8] Evaluation of Global Solar Irradiance Estimates from GL1.2 Satellite-Based Model over Brazil Using an Extended Radiometric Network
    Porfirio, Anthony C. S.
    Ceballos, Juan C.
    Britto, Jose M. S.
    Costa, Simone M. S.
    REMOTE SENSING, 2020, 12 (08)
  • [9] Characterizing Variability of Solar Irradiance in San Antonio, Texas Using Satellite Observations of Cloudiness
    Xia, Shuang
    Mestas-Nunez, Alberto M.
    Xie, Hongjie
    Tang, Jiakui
    Vega, Rolando
    REMOTE SENSING, 2018, 10 (12):
  • [10] OBSERVATIONS OF SOLAR IRRADIANCE VARIABILITY
    WILLSON, RC
    GULKIS, S
    JANSSEN, M
    HUDSON, HS
    CHAPMAN, GA
    SCIENCE, 1981, 211 (4483) : 700 - 702