Estimation of atmospheric turbidity over Adrar city in Algeria

Marif, Yacine; Bechki, Djamel; Zerrouki, Moussa; Belhadj, Mohammed Mustapha; Bouguettaia, Hamza; Benmoussa, H.

doi:10.1016/j.jksus.2017.06.002

Cited by 9 publications

(5 citation statements)

References 22 publications

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“…With regard to the semi-empirical approach, the complexity of the clear-sky irradiance model, which is caused by rapid changes in aerosols, water vapor, and other molecules, is relatively reduced. The atmospheric variables can instead be simplified into a single turbidity variable of T L [35][36][37]. In this study, well-known clear-sky irradiance models (Table 3) were selected to examine GHI c .…”

Section: Clear-sky Irradiance Formulamentioning

confidence: 99%

Application of Semi-Empirical Models Based on Satellite Images for Estimating Solar Irradiance in Korea

2021

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The application of solar energy as a renewable energy source has significantly escalated owing to its abundance and availability worldwide. However, the intermittent behavior of solar irradiance is a serious disadvantage for electricity grids using photovoltaic (PV) systems. Thus, reliable solar irradiance data are vital to achieve consistent energy production. Geostationary satellite images have become a solution to this issue, as they represent a database for solar irradiance on a massive spatiotemporal scale. The estimation of global horizontal irradiance (GHI) using satellite images has been developed based on physical and semi-empirical models, but only a few studies have been dedicated to modeling GHI using semi-empirical models in Korea. Therefore, this study conducted a comparative analysis to determine the most suitable semi-empirical model of GHI in Korea. Considering their applicability, the Beyer, Rigollier, Hammer, and Perez, models were selected to estimate the GHI over Seoul, Korea. After a comparative evaluation, the Hammer model was determined to be the best model. This study also introduced a hybrid model and applied a long short-term memory (LSTM) model in order to improve prediction accuracy. The hybrid model exhibited a smaller root-mean-square error (RMSE), 97.08 W/m2, than that of the Hammer model, 103.92 W/m2, while producing a comparable mean-bias error. Meanwhile, the LSTM model showed the potential to further reduce the RMSE by 11.2%, compared to the hybrid model.

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Section: Clear-sky Irradiance Formulamentioning

confidence: 99%

Application of Semi-Empirical Models Based on Satellite Images for Estimating Solar Irradiance in Korea

2021

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“…We can explain it by winds of the south sectors (Sirocco) during the summer season that characterize the Sahara of North Africa. This kind of winds brings particles of dust and sand with them, which increases the Angström coefficient [1,19,20,32,41].…”

Section: Resultsmentioning

confidence: 99%

“…We note that there is a temporal extremum of β (middle plot in Figure 8) while there is an extremum in both humidity and temperature at the same time (bottom plot in Figure 9). These seasonal variations are most likely related to the African monsoon [1,20,32,41,42]. ± 0.04 0.12 ± 0.05 0.15 ± 0.04 0.11 ± 0.03 September 0.14 ± 0.05 0.13 ± 0.04 0.11 ± 0.06 0.11 ± 0.06 0.12 ± 0.03 0.14 ± 0.04 October 0.12 ± 0.05 0.14 ± 0.04 0.09 ± 0.04 0.09 ± 0.04 0.14 ± 0.04 0.16 ± 0.08 November 0.12 ± 0.06 0.13 ± 0.05 0.02 ± 0.03 0.02 ± 0.02 0.14 ± 0.05 0.11 ± 0.04 December 0.11 ± 0.03 0.11 ± 0.05 0.03 ± 0.05 0.03 ± 0.03 0.12 ± 0.06 0.11 ± 0.05 Finally, we compared the Angström coefficient obtained with ESRA 2 model with the frequency of occurrence of aerosols over Tamanrasset observed from space.…”

Section: Resultsmentioning

confidence: 99%

“…These turbidity indices have been widely used at several places around the world based on solar irradiance measurements in order to quantify the effects of aerosols and air pollutants on degrading horizontal visibility and reducing the amount of solar radiation reaching the ground. In this respect, variations in the Linke turbidity factor have been studied by Cucumo et al [18] at two locations in Italy, while Djafer and Irbah [19], Marif et al [20], Chabane et al [21] analyzed the characteristics and seasonality of the Linke turbidity factor at several sites in Algeria. In Tunisia, Saad et al [22] quantified the atmospheric turbidity by means of both the Linke turbidity factor and the Angstrom coefficient, while Kambezidis and Psiloglou [23] in a recent study estimated and mapped the Linke turbidity factor at 33 sites across Greece.…”

Section: Introductionmentioning

confidence: 99%

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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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“…The respective MBE of DNI and T L are 0.91% and 1.31%, which shows the accuracy of the model despite its simplicity. In Northern Africa, Marif et al[88] (Algeria, 31 months) studied the turbidity and developed a CSI model, they confirmed that T L and β are highly affected by wind speed, ambient temperature, and humidity. Aerosols' loads were high in summer and low in winter.…”

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confidence: 91%

Dust impact on concentrated solar power: A review

Zereg

Gama

Aksas³

et al. 2021

Environmental Engineering Research

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Many sites with high solar radiation face high dust loads that reduce energy generation by concentrated solar power plants. This review presents the attenuative impacts of atmospheric aerosols, as well as reflectivity losses due to soiling of solar reflectors, by covering both experimental investigations and numerical studies; along with presenting the theoretical background. The chemical nature of aerosols, and the physics of soiling and atmospheric extinction phenomena (scattering and absorption) are also reviewed. Suspended particles like aerosols result in atmospheric extinction of the solar radiation that reaches the concentrators, and the deposition of these particles on the solar reflectors provokes decreases up to 80% in their reflectivity, and thus enhances the cumulus of optical losses and the reduction of energy production. Even though dust affects both CSP and photovoltaics, CSP technologies suffer more losses. The impact of dust should be particularly considered during the planning phase of solar thermal plants, since its consequent reduction in energy output can be severe. While there have been multiple papers to review dust-related problems for PV, the present paper is the first literature review dedicated to the impact of soiling on concentrated solar power.

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Estimation of atmospheric turbidity over Adrar city in Algeria

Cited by 9 publications

References 22 publications

Application of Semi-Empirical Models Based on Satellite Images for Estimating Solar Irradiance in Korea

Application of Semi-Empirical Models Based on Satellite Images for Estimating Solar Irradiance in Korea

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

Dust impact on concentrated solar power: A review

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