Multifractal Analysis of Daily Global Horizontal Radiation in Complex Topography Island: La Reunion as a Case Study

2018 ◽  
Vol 141 (3) ◽  
Author(s):  
Miloud Bessafi ◽  
Vishwamitra Oree ◽  
Abdel Anwar Hossen Khoodaruth ◽  
Guillaume Jumaux ◽  
François Bonnardot ◽  
...  

An accurate assessment of the amount solar radiation incident at specific locations is highly complex due to the dependence of available solar radiation on many meteorological and topographic parameters. Reunion Island, a small tropical French territory, intends to deploy solar energy technologies rapidly. In this context, the variability and intermittency of solar irradiance in different regions of the island is of immediate interest if the generated energy will be integrated in the existing energy network. This paper identifies different features of spatial and temporal variability of daily global horizontal irradiance (GHI) observed on Reunion Island. For this purpose, trends in the mean daily as well as seasonal variability of GHI were investigated. Furthermore, the intermittency and multifractal behaviors of the spatial daily GHI change were examined. Analyzing this daily variability is crucial to day-ahead forecasting of solar resource for better managing solar integration in the power grid, particularly in small island states with isolated power systems. Results revealed that the difference in cumulative GHI for two successive days ranges between −10 and 10 kW/m2/day while the highest and lowest variability of daily change occurs during summer and winter, respectively. The decorrelation distance, which gives a measure of the distance over which the variability at distinct geographic locations become independent of one another at a given timescale, was also calculated. It was found that the average decorrelation distance for day-to-day GHI change is about 22 km, a smaller value than that calculated by the previous studies using much sparser radiometric networks. The Hurst exponent, fractal co-dimension, and Lévy parameter, which describe solar radiation intermittency, were also evaluated for Reunion Island.

2019 ◽  
Vol 142 (2) ◽  
Author(s):  
Peng Li ◽  
Miloud Bessafi ◽  
Beatrice Morel ◽  
Jean-Pierre Chabriat ◽  
Mathieu Delsaut ◽  
...  

Abstract This paper focuses on the prediction of daily surface solar radiation maps for Reunion Island by a hybrid approach that combines principal component analysis (PCA), wavelet transform analysis, and artificial neural network (ANN). The daily surface solar radiation over 18 years (1999–2016) from CM SAF (SARAH-E with 0.05 deg × 0.05 deg spatial resolution) is first detrended using the clear sky index. Dimensionality reduction of the detrended dataset is secondly performed through PCA, which results in saving computational time by a factor of eight in comparison to not using PCA. A wavelet transform is thirdly applied onto each of the first 28 principal components (PCs) explaining 95% of the variance. The decomposed nine-wavelet components for each PC are fourthly used as input to an ANN model to perform the prediction of day-ahead surface solar radiation. The predicted decomposed components are finally returned to PCs and clear sky indices, irradiation in the end for re-mapping the surface solar radiation's distribution. It is found that the prediction accuracy is quite satisfying: root mean square error (RMSE) is 30.98 W/m2 and the (1 − RMSE_prediction/RMSE_persistence) is 0.409.


Author(s):  
P. Jeanty ◽  
M. Delsaut ◽  
L. Trovalet ◽  
H. Ralambondrainy ◽  
J.D. Lan-Sun-Luk ◽  
...  

2018 ◽  
Vol 227 ◽  
pp. 332-341 ◽  
Author(s):  
Nadia Maïzi ◽  
Vincent Mazauric ◽  
Edi Assoumou ◽  
Stéphanie Bouckaert ◽  
Vincent Krakowski ◽  
...  

2014 ◽  
Vol 57 ◽  
pp. 1275-1282 ◽  
Author(s):  
Mathieu David ◽  
Faly H. Ramahatana Andriamasomanana ◽  
Olivier Liandrat

2002 ◽  
Vol 19 ◽  
pp. 179-192 ◽  
Author(s):  
M Lal ◽  
H Harasawa ◽  
K Takahashi

Sign in / Sign up

Export Citation Format

Share Document