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Evaluation of the Global Horizontal Irradiation (GHI) on the Ground from the Images of the Second Generation European Meteorological Satellites MSG
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作者 Ahmed El Ouiqary El M’kaddem Kheddioui Mohammed Faouzi Smiej 《Journal of Computer and Communications》 2023年第1期1-11,共11页
The measurement of solar irradiation is still a necessary basis for planning the installation of photovoltaic parks and concentrating solar power systems. The meteorological stations for the measurement of the solar f... The measurement of solar irradiation is still a necessary basis for planning the installation of photovoltaic parks and concentrating solar power systems. The meteorological stations for the measurement of the solar flux at any point of the earth’s surface are still insufficient worldwide;moreover, these measurements on the ground are expensive, and rare. To overcome this shortcoming, the exploitation of images from the European meteorological satellites of the second generation MSG is a reliable solution to estimate the global horizontal irradiance GHI on the ground with a good spatial and temporal coverage. Since 2004, the new generation MSG satellites provide images of Africa and Europe every 15 minutes with a spatial resolution of about 1 km × 1 km at the sub-satellite point. The objective of this work was to apply the Brazil-SR method to evaluate the global horizontal GHI irradiance for the entire Moroccan national territory from the European Meteosat Second Generation MSG satellite images. This bibliographic review also exposed the standard model of calculation of GHI in clear sky by exploiting the terrestrial meteorological measurements. 展开更多
关键词 global horizontal Irradiation GHI MSG Satellite Images Brazil-SR Method
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Site adaptation with machine learning for a Northern Europe gridded global solar irradiance product
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作者 Sebastian Zainali Dazhi Yang +1 位作者 Tomas Landelius Pietro Elia Campana 《Energy and AI》 EI 2024年第1期265-278,共14页
Gridded global horizontal irradiance(GHI)databases are fundamental for analysing solar energy applications’technical and economic aspects,particularly photovoltaic applications.Today,there exist numerous gridded GHI ... Gridded global horizontal irradiance(GHI)databases are fundamental for analysing solar energy applications’technical and economic aspects,particularly photovoltaic applications.Today,there exist numerous gridded GHI databases whose quality has been thoroughly validated against ground-based irradiance measurements.Nonetheless,databases that generate data at latitudes above 65˚are few,and those available gridded irradiance products,which are either reanalysis or based on polar orbiters,such as ERA5,COSMO-REA6,or CM SAF CLARA-A2,generally have lower quality or a coarser time resolution than those gridded irradiance products based on geostationary satellites.Amongst the high-latitude gridded GHI databases,the STRÅNG model developed by the Swedish Meteorological and Hydrological Institute(SMHI)is likely the most accurate one,providing data across Sweden.To further enhance the product quality,the calibration technique called"site adaptation"is herein used to improve the STRÅNG dataset,which seeks to adjust a long period of low-quality gridded irradiance estimates based on a short period of high-quality irradiance measurements.This study introduces a novel approach for site adaptation of solar irradiance based on machine learning techniques,which differs from the conventional statistical methods used in previous studies.Seven machine-learning algorithms have been analysed and compared with conventional statistical approaches to identify Sweden’s most accurate algorithms for site adaptation.Solar irradiance data gathered from three weather stations of SMHI is used for training and validation.The results show that machine learning can substantially improve the STRÅNG model’s accuracy.However,due to the spatiotemporal heterogeneity in model performance,no universal machine learning model can be identified,which suggests that site adaptation is a location-dependant procedure. 展开更多
关键词 Machine learning global horizontal irradiance STRÅNG Site adaptation Agrivoltaic Sweden
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Theoretical prediction and validation of global horizontal solar irradiance for a tropical climate in India
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作者 Sivasankari SUNDARAM Jakka SARAT CHANDRA BABU 《Frontiers in Energy》 SCIE CSCD 2015年第3期311-321,共11页
This paper aims to propose monthly models responsible for the theoretical evaluation of the global horizontal irradiance of a tropical region in India which is Sivagangai situated in Tamilnadu. The actual measured glo... This paper aims to propose monthly models responsible for the theoretical evaluation of the global horizontal irradiance of a tropical region in India which is Sivagangai situated in Tamilnadu. The actual measured global horizontal irradiance hails from a 5 MW solar power plant station located at Sivagangai in Tamilnadu. The data were monitored from May 2011 to April 2013. The theoretical assessment was conducted differently by employing a programming platform called Microsoft Visual Basic 2010 Express. A graphical user interface was created using Visual Basic 2010 Express, which provided the evaluation of empirical parameters for model formulation such as daily sunshine duration (5), maximum possible sunshine hour duration (S0), extra terrestrial horizontal global irradiance (H0) and extra terrestrial direct normal irradiance (G0). The proposed regression models were validated by the significance of statistical indicators such as mean bias error, root mean square error and mean percentage error from the predicted and the actual values for the region considered. Comparison was made between the proposed monthly models and the existing normalized models for global horizontal irradiance evaluation. 展开更多
关键词 global horizontal irradiance (GHI) mean biaserror root mean square error mean percentage error coefficient of regression Visual Basic 2010 Express
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Performance comparison of mono and polycrystalline silicon solar photovoltaic modules under tropical wet and dry climatic conditions in east-central India
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作者 Niranjan Singh Baghel Nikhil Chander 《Clean Energy》 EI 2022年第1期165-177,共13页
This work focuses on the performance comparison of monocrystalline and polycrystalline Si solar photovoltaic(SPV)modules under tropical wet and dry climatic conditions in east-central India(21.16°N 81.65°E,R... This work focuses on the performance comparison of monocrystalline and polycrystalline Si solar photovoltaic(SPV)modules under tropical wet and dry climatic conditions in east-central India(21.16°N 81.65°E,Raipur,Chhattisgarh).This study would help to select the SPV module for system installation in the east-central part of the country.For comparative analysis,we used performance ratio(PR)and efficiency as figures of merit.The plane-of-array(POA)irradiance was used to determine the efficiency of the modules.The decomposition and transposition models calculated the POA values from the measured global horizontal irradiance.The data were analysed systematically for 6 months in the non-rainy season,from October 2020 to March 2021.Special attention was given to solar irradiance,ambient temperature and module temperature-the parameters that affect the performance of PV modules.The month of October showed the highest variation in irradiance and temperature.The highest average module temperatures(51-52℃)were observed in October-November,while the lowest average module temperatures(34℃ for mono-Si and 36℃ for poly-Si)were observed in December.The highest value of average monthly POA irradiance(568 W/m^(2))was observed in February and the lowest(483 W/m^(2))in December.The results showed that the monocrystalline SPV module performed better than the polycrystalline module under all weather conditions.The maximum observed values of mono-Si and poly-Si panel PRs were 0.89 and 0.86,respectively,in December. 展开更多
关键词 solar photovoltaic performance climatic conditions global horizontal irradiance plane-of-array
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