Solar Radiation Assessment and Forecasting Using Satellite Data

Author(s):  
Akriti Masoom ◽  
Yashwant Kashyap ◽  
Ankit Bansal
Energies ◽  
2020 ◽  
Vol 13 (24) ◽  
pp. 6501
Author(s):  
Enrique A. Enríquez-Velásquez ◽  
Victor H. Benitez ◽  
Sergey G. Obukhov ◽  
Luis C. Félix-Herrán ◽  
Jorge de-J. Lozoya-Santos

A model developed at the University of Tomsk, Russia, for high latitudes (over 55° N) is proposed and applied to the analysis and observation of the solar resource in the state of Sonora in the northwest of Mexico. This model utilizes satellite data and geographical coordinates as inputs. The objective of this research work is to provide a low-cost and reliable alternative to field meteorological stations and also to obtain a wide illustration of the distribution of solar power in the state to visualize opportunities for sustainable energy production and reduce its carbon footprint. The model is compared against real-time data from meteorological stations and satellite data, using statistical methods to scrutinize its accuracy at local latitudes (26–32° N), where a satisfactory performance was observed. An annual geographical view of available solar radiation against maximum and minimum temperatures for all the state municipalities is provided to identify the photovoltaic electricity generation potential. The outcomes are proof that the model is economically viable and could be employed by local governments to plan solar harvesting strategies. The results are generated from an open source model that allows calculating the available solar radiation over specific land areas, and the application potential for future planning of solar energy projects is evident.


2007 ◽  
Author(s):  
Oleg V. Kopelevich ◽  
Sergey V. Sheberstov ◽  
Vladimir I. Burenkov ◽  
Svetlana V. Vazyulya ◽  
Maria V. Likhacheva

2020 ◽  
Author(s):  
Sara Moutia

<p>The main advantage of remote sensing products is that they are reasonably good in terms of temporal and special coverage, and they are available in a near real time. Therefore, an understanding of the strengths and weaknesses of satellite data is useful to choose it as an alternative source of information with acceptable accuracy.  On the first hand, this study assesses an Inter-comparison between CMSAF Sunshine Duration (SD) data records and ground observations of 30 data sets from 1983 to 2015. the correlation is very significant and the satellite data fits very closely to in situ observations. On the other hand, trend analysis is applied to SD and Solar Incoming Direct radiation (SID) data, a number of stations show a statistically significant decreasing trend in SD and also SID shows a decreasing trend over Morocco in most of regions especially in summer. The results indicate a general tendency of decrease in incoming solar radiation mostly during summer which could be of some concern for solar energy.</p>


2007 ◽  
Vol 384 (1-3) ◽  
pp. 316-332 ◽  
Author(s):  
K.V.S. Badarinath ◽  
Shailesh Kumar Kharol ◽  
D.G. Kaskaoutis ◽  
H.D. Kambezidis

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