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首页> 外文期刊>Energy Conversion & Management >Satellite approach based on cloud cover classification: Estimation of hourly global solar radiation from meteosat images
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Satellite approach based on cloud cover classification: Estimation of hourly global solar radiation from meteosat images

机译：基于云层分类的卫星方法：利用气象卫星图像估算全球每小时太阳辐射

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Hourly global solar irradiation data useful for the design of solar energy conversion systems is generated using a new satellite based model called SICIC (solar irradiation from cloud image classification). It is a model built by processing high resolution visible Meteosat images and ground measurements of solar radiation flux collected in various locations of France during the 1994/95 period. Taking into account the hourly variability of solar radiation flux, SICIC begins by sorting the sun elevation angles into representative classes. For each location and each class, the clearness index is then computed, and the grey levels of the pixels of the visible Meteosat images are converted into cloud cover indexes. Next, two adjustable thresholds are used to split the set of cloud cover indices into three subsets representing clear, partly covered and overcast skies, respectively. Finally, three regression equations linking the clearness and cloud cover indices are obtained for the three sky categories. In these equations, the SICIC parameters (the regression coefficients and both thresholds) vary against the solar elevation angle. SICIC then yields a good estimate of the hourly global solar irradiation flux for every site displayed in the Meteosat images. This model is compared to GISTEL, which is another model governed by the same hypotheses as SICIC but differing by the invariability of its parameters in time. SICIC is found to be more accurate than GISTEL. In particular, the hourly solar data are estimated with an error (RMSE) varying from 32% to 12% for SICIC and 44% to 14% for GISTEL when the sun altitude increases from 15° to 75°. At the daily scale, SICIC is also more efficient than GISTEL. It has been satisfactorily applied to other sites of France and Algeria. The tests made on Wefax and B2 Meteosat images show that this model can be easily extended to other satellite images.
机译：使用称为SICIC（基于云图像分类的太阳辐射）的新的基于卫星的模型，可以生成每小时可用于设计太阳能转换系统的全球太阳辐射数据。它是通过处理高分辨率可见气象卫星图像和在1994/95期间法国各个地方收集的太阳辐射通量的地面测量而建立的模型。考虑到太阳辐射通量的每小时变化，SICIC首先将太阳仰角分类为代表性类别。然后，针对每个位置和每个类别，计算净度指数，并将可见Meteosat图像像素的灰度级转换为云量指数。接下来，使用两个可调阈值将云层覆盖指数集分为三个子集，分别代表晴空，部分覆盖和阴天。最后，针对这三个天空类别，获得了将清晰度和云量指数联系起来的三个回归方程。在这些方程式中，SICIC参数（回归系数和两个阈值）随太阳仰角而变化。然后，SICIC可以很好地估算出Meteosat影像中显示的每个站点的每小时全球太阳辐射通量。该模型与GISTEL进行了比较，后者是另一个与SICIC相同的假设，但其参数在时间上的不变性不同。发现SICIC比GISTEL更准确。特别是，当太阳高度从15°升至75°时，每小时太阳数据的估计误差（RMSE）在SICIC中为32％至12％，对于GISTEL为44％至14％。在日常规模上，SICIC也比GISTEL更高效。它已令人满意地应用于法国和阿尔及利亚的其他地区。在Wefax和B2 Meteosat影像上进行的测试表明，该模型可以轻松扩展到其他卫星影像。

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