Prediction of daily solar radiation intensity by day of the year in twenty-four cities of Morocco

Mghouchi, Y. El; Ajzoul, T.; Bouardi, Abdelmajid El

doi:10.1016/j.rser.2015.09.059

Cited by 54 publications

(17 citation statements)

References 9 publications

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“…The goodness-of-fit of the models (1)-(3) expressed by means of the determination coefficient R 2 did not vary considerably between the stations and ranged from 0.94 (Lesko) to 0.97 (Kołobrzeg). Although these values are slightly less favorable than in the other climate zones [22][23][24][25][26][27][28], the results indicate that the model is well-fitted to the averaged global solar radiation data. Furthermore, the model's precision was assessed by means of statistical indicators such as RMSE, MABE, and MAPE.…”

Section: Resultsmentioning

confidence: 68%

“…As the cloudiness is usually the most variable and influential factor affecting atmospheric transmissivity for shortwave radiation [20], simple day-of-the-year models, based on trigonometric functions or nth degree polynomials have been mainly developed for locations with relatively large global solar radiation (H) and slight and hardly variable cloud cover, i.e., in Turkey [22], Greece [23], China [24], Morocco [25], Egypt [26], Algeria [27], and Iran [28].…”

Section: Introductionmentioning

confidence: 99%

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Estimating Daily Global Solar Radiation with No Meteorological Data in Poland

2020

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The aim of the study was to calibrate coefficients and evaluate performance of simple, day-of-the-year, global solar radiation (H) models nominated from the literature. Day-of-the-year models enable estimation of global solar radiation when no meteorological data is available. The study used 16-year-long data series of daily H, taken at 15 actinometric stations located in various parts of Poland. The goodness-of-fit of the models to the actual long-term monthly average daily global solar radiation data expressed by determination coefficient (R2) ranges from 0.94 to 0.97. Depending on statistical indicators analysis (root mean square error—RMSE, mean absolute bias error—MABE, mean average percentage error—MAPE) the best model was selected. The averaged values of H computed by the recommended model deviate from those measured by 4.16% to 8.71%. Locally calibrated, day-of-the-year model provides satisfactory accuracy and—where meteorological data is unavailable—can be used to estimate mean monthly daily global solar radiation in Poland and similar climate conditions.

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Section: Resultsmentioning

confidence: 68%

Section: Introductionmentioning

confidence: 99%

Estimating Daily Global Solar Radiation with No Meteorological Data in Poland

2020

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“…Global Horizontal Irradiation (GHI): GHI is a crucial criterion for the construction of solar power projects (Janke 2010;Uyan 2013;Al Garni and Awasthi 2017). The geographical positioning of Morocco is best suited to solar energy, since, on average, the country collects a solar irradiation of 21 MJ/m 2 /day (5.80 kWh/m 2 /day) (El Mghouchi et al 2016). In this study, areas receiving GHI of less than 3 kW/m 2 /day have been excluded, while areas receiving more than 5 kW/m 2 /day are suggested as being highly suitable.…”

Section: Factors' Descriptionmentioning

confidence: 99%

“…With an abundance of solar resources, Morocco offers a wide variety of investment opportunities in the solar energy sectors. The average daily solar radiation level in Morocco is equivalent to 5.80 kWh/m 2 /day (El Mghouchi et al 2016).…”

Section: Introductionmentioning

confidence: 99%

Land suitability analysis for solar farms exploitation using the GIS and Analytic Hierarchy Process (AHP) – a case study of Morocco

Taoufik¹,

Meriem²,

Fekri³

2021

Polityka Energetyczna – Energy Policy Journal

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Given Morocco's geographical position and climatic conditions, solar energy will supply a large portion of the country's energy demand. In this paper, the suitability of Moroccan lands for hosting Solar Power Plants was studied using the combination of the Geographic Information System (GIS) and the Analytical Hierarchy Method (AHP). The multi-criteria decision framework integrates technical, socio-economic and environmental constraints. For this purpose, a GIS database was created using layers from various sources. In addition, since the potential of Global Horizontal Irradiation (GHI) is the most relevant criterion for the selection of solar farms, a high-quality solar satellite map with a spatial resolution of 0.27 km was used, covering a period from 1994 to 2018. Obtained results show a great potential for solar energy development in Morocco, represented by the availability of 90% of areas. In fact, the resulting map was classified into 6 different classes, namely: Very high suitability, High suitability, Moderate suitability, Low suitability, Very low suitability and Exclusion areas, which 53.88%, 24.08%, 0.15%, 0%, 0% and 21.89% are respectively the percentages of their area occupation. According to the performed investigations, the most significant criteria that should be considered include: The Global Horizontal Irradiation, Slope, Temperature and Slope orientation. The obtained map was then compared to the existing solar farms, and show that all the existing projects are located within areas classified as highly suitable.

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“…The TMY file includes hourly data of direct normal irradiance (DNI), diffuse horizontal irradiance (DHI), global horizontal irradiance (GHI), ambient temperature (T), and wind velocity (v) [23]. Morocco has a higher potential of direct and global solar radiation of about 2500 kWh/m 2 /year and 2200 kWh/m 2 /year, respectively, in the southern region [24,25]. For this reason, Ouarzazate (30°55′08″N, 6°53′36″E) which is located in the south of Morocco and receives a high solar radiation is chosen for this study.…”

Section: System Modellingmentioning

confidence: 99%

Modelling and Assessing the Performance of Hybrid PV-CSP Plants in Morocco: A Parametric Study

Bousselamti

Cherkaoui

2019

International Journal of Photoenergy

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Based on the examination of the efficiency of solar plants, this study focuses on three main plants: a photovoltaic (PV) plant, a concentrated solar power (CSP) plant, and a hybrid PV/CSP plant. The modelling of the three plants has been implemented to evaluate the influence of design parameters (orientation angles, solar multiple (SM), thermal energy storage capacity (TES), and fraction of hybridization) on them. Several simulations have been recreated and discussed in details to study the optimal configuration of the two first plants and the profitability of the PV/CSP plants for Ouarzazate (Morocco) location. The findings demonstrate that the optimal orientation angles and TES/SM, respectively, affect the performances of PV and CSP plants, and they also reveal that PV/CSP systems have the benefits to increase the annual energy produced, reduce the cost, and offer a high dispatchability to supply a baseload. The implementing of optimal PV/CSP plant has a great economic impact on Ouarzazate city.

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Prediction of daily solar radiation intensity by day of the year in twenty-four cities of Morocco

Cited by 54 publications

References 9 publications

Estimating Daily Global Solar Radiation with No Meteorological Data in Poland

Estimating Daily Global Solar Radiation with No Meteorological Data in Poland

Land suitability analysis for solar farms exploitation using the GIS and Analytic Hierarchy Process (AHP) – a case study of Morocco

Modelling and Assessing the Performance of Hybrid PV-CSP Plants in Morocco: A Parametric Study

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