Determination of the Global Solar Irradiation by MSG-SEVIRI Images Processing in Algeria

Meziani, Fariza; Boulifa, Mina; Ameur, Zohra

doi:10.1016/j.egypro.2013.07.061

Cited by 5 publications

(5 citation statements)

References 6 publications

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“…The estimation of the hourly and daily global solar radiation shows promising results compared with the current literature (e.g. root mean square error, RMSE); between 11 and 33 per cent on an hourly basis and between 7 and 13 per cent on a daily basis as cited in literature (Chaabane and Djemaa, 2002; Rigollier et al , 2004; Mefti et al , 2008; Moradi et al , 2009; Beyer et al , 2009; Ineichen, 2011; Meziani et al , 2013). The performance of the different methods cited in literature that use the Meteosat data and ground measurements of some stations in Europe and North Africa are summarized in Table I by their relative RMSEs and correlation coefficients on the hourly and daily time scale.…”

Section: Introductionmentioning

confidence: 84%

Hourly global solar radiation estimation from MSG-SEVIRI images-case study: Algeria

Bouchouicha

Razagui

Bachari

et al. 2016

WJE

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Purpose This paper aims to propose an approach based on physical model integration for surface and cloud albedo computation using an approximate form of the atmospheric radiative transfer equation and sun-pixel-satellite. Design/methodology/approach The data used in this study are global irradiance collected from for various sites in Algeria, and data were obtained from the processing of the high-resolution visible images taken by the Meteosat Second Generation satellite in 2010. Findings The results suggest that the standard deviation obtained with this method is similar to that obtained with current estimation methods. The hourly and daily correlation coefficients range between 0.95 and 0.97 and between 0.97 and 0.99, respectively. The hourly and daily mean bias errors range between −0.2 and +1.2 per cent and between −0.2 and +1.4 per cent, respectively. The hourly and daily root mean square errors range between 10 and 17 per cent and between 4 and 8 per cent, respectively. Originality/value This paper developed a new estimating method that derives the hourly global horizontal solar irradiation at a ground level from geostationary satellite data under local climate conditions.

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Section: Introductionmentioning

confidence: 84%

Hourly global solar radiation estimation from MSG-SEVIRI images-case study: Algeria

Bouchouicha

Razagui

Bachari

et al. 2016

WJE

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“…Furthermore, the turbidity factor of LINKE is defined as the number of pure and dry atmospheres (in the absence of water vapor and aerosols) that would cause the same attenuation as the real atmosphere. Likewise, it has shown to be obtained from pyrheliometric measurements of direct solar radiation; it is equal to 2 for a clear sky, and it is equal to 8 for a polluted or humid sky [10][11][12].…”

Section: Capderou Modelmentioning

confidence: 99%

“…While solar radiation on the Earth's surface can be theoretically calculated under clear-sky conditions, the challenge intensifies in overcast or partially cloudy areas. In such circumstances, environmental factors such as temperature, humidity, pressure, altitude, latitude, and longitude of the site become crucial in determining long-term averages of global irradiation on a horizontal surface [7][8][9][10][11][12][13][14][15].…”

Section: Introduction 1motivationsmentioning

confidence: 99%

Design, Implementation and Comparative Analysis of Three Models for Estimation of Solar Radiation Components on a Horizontal Surface

Rougab,

Barambones,

Silaa

et al. 2024

Symmetry

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Solar radiation data play a pivotal role in harnessing solar energy. Unfortunately, the availability of these data is limited due to the sparse distribution of meteorological stations worldwide. This paper introduces and simulates three models designed for estimating and predicting global solar radiation at ground level. Furthermore, it conducts an in-depth analysis and comparison of the simulation results derived from these models, utilizing measured data from selected sites in Algeria where such information is accessible. The focus of our study revolves around three empirical models: Capderou, Lacis and Hansen, and Liu and Jordan. These models utilize day number and solar factor as input parameters, along with the primary site’s geographical coordinates—longitude, latitude, and altitude. Additionally, meteorological parameters such as relative humidity, temperature, and pressure are incorporated into the models. The objective is to estimate global solar radiation for any given day throughout the year at the specified location. Upon simulation, the results highlight that the Capderou model exhibits superior accuracy in approximating solar components, demonstrating negligible deviations between real and estimated values, especially under clear-sky conditions. However, these models exhibit certain limitations in adverse weather conditions. Consequently, alternative approaches, such as fuzzy logic methods or models based on satellite imagery, become essential for accurate predictions in inclement weather scenarios.

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“…The Gistel clear sky model is the model adopted by the World Organization of Meteorology (WMO) [27]. The global solar radiation G c , which in this model depends mainly on the Linke turbidity factor T l , is expressed by the equation:…”

Section: The Gistel Modelmentioning

confidence: 99%

Study of Atmospheric Turbidity in a Northern Tropical Region Using Models and Measurements of Global Solar Radiation

et al. 2021

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Radiative transfer in the Earth’s atmosphere under clear-sky conditions strongly depends on turbidity due to aerosols and hydrometeors. It is therefore important to know its temporal radiative properties for a given site when the objective is to optimize the solar energy that is collected there. Turbidity can be studied via measurements and models of the global solar radiation reaching the ground in cloudless conditions. These models generally depend on two parameters, namely the Angström turbidity coefficient and the Linke factor. This article aims to do a comparative study of five models of global solar radiation, all dependent on the Linke factor, based on real data. The measurements are provided by the Tamanrasset Meteorological Center (Algeria), which has a long series of global solar radiation data recorded between 2005 and 2011. Additional data from AERONET and MODIS onboard the TERRA satellite were also used to perform the comparison between the two estimated parameters and those obtained from AERONET. The study shows that the ESRA models are the most reliable among the five models for estimating the Linke factor with a correlation coefficient R of the data fits of 0.9995, a RMSE of 13.44 W/m2, a MBE of −0.64 W/m2 and a MAPE of 6.44%. The maximum and minimum statistical values were reached, respectively, in June and during the autumn months. The best correlation is also observed in the case of ESRA models between the Linke parameter and the joint optical thickness of aerosols and the total column-integrated water vapor. The Angström turbidity coefficient β, calculated from the Linke factor and MODIS data, has values less than 0.02 at 9% of the cases, and 76% present values ranging between 0.02 and 0.15 and 13% higher than 0.15. These β values are validated by AERONET measurements since a very good correlation (R≈0.87) is observed between the two datasets. The temporal variations of β also show a maximum in June. Satellite observations confirm more aerosols during the summer season, which are mostly related to the African monsoon.

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Determination of the Global Solar Irradiation by MSG-SEVIRI Images Processing in Algeria

Cited by 5 publications

References 6 publications

Hourly global solar radiation estimation from MSG-SEVIRI images-case study: Algeria

Hourly global solar radiation estimation from MSG-SEVIRI images-case study: Algeria

Design, Implementation and Comparative Analysis of Three Models for Estimation of Solar Radiation Components on a Horizontal Surface

Study of Atmospheric Turbidity in a Northern Tropical Region Using Models and Measurements of Global Solar Radiation

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