Sunshine and global solar radiation estimation at different sites in Egypt

El‐Metwally, Mossad

doi:10.1016/j.jastp.2005.04.004

Cited by 106 publications

(42 citation statements)

References 28 publications

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“…Besharat, Dehghan, and Faghih (2013) classified various global solar radiation models into four categories (sunshinebased, cloud-based, temperature-based, and other or hybridparameter-based models). Sunshine-based models are commonly used probably for the ease of obtaining reliable sunshine data that are widely available at most weather stations (Angstrom 1924;Prescott 1940;Page 1961;Rietveld 1978;Akpabio, Udo, and Etuk 2005;El-Metwally 2005). In the absence of sunshine data, cloud-based models can be a useful alternative but are sensible to human biasing (Supit and Van Kappel 1998;Badescu 1999).…”

Section: Studied Modelsmentioning

confidence: 99%

Evaluation of various global solar radiation models for Nigeria

Okundamiya

Emagbetere

Ogujor

2015

International Journal of Green Energy

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This study assessed the performance of six solar radiation models. The objective was to determine the most accurate model for estimating global solar radiation on a horizontal surface in Nigeria. Twenty-two years meteorological data sets collected from the Nigerian Meteorological agency and the National Aeronautics and Space Administration for the three regions, covering the entire climatic zones in Nigeria were utilized for calibrating and validating the selected models for Nigeria. The accuracy and applicability of various models were determined for three locations (Abuja, Benin City, and Sokoto), which spread across Nigeria using seven viable statistical indices. This study found that the estimation results of considered models are statistically significant at the 95% confidence level, but their accuracy varies from one location to another. However, the multivariable regression relationship deduced in terms of sunshine ratio, air temperature ratio, maximum air temperature, and cloudiness performs better than other relationships. The multivariable relationship has the least root mean square error and mean absolute bias error, not exceeding 1.0854 and 0.8160 MJ m −2 day −1 , respectively, and monthly relative percentage error in the range of ± 12% for the study areas.

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Section: Studied Modelsmentioning

confidence: 99%

Evaluation of various global solar radiation models for Nigeria

Okundamiya

Emagbetere

Ogujor

2015

International Journal of Green Energy

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“…1 and Table 1). Therefore, many empirical models have been proposed to estimate the solar radiation in Egypt using sunshine duration [3,[26][27][28][29][30][31]. In Egypt, sunshine data are obtained from the Campbell-Stokes recorder.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of sunshine duration from cloud data in Egypt

Robaa

2008

Energy

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“…, . (14) III. RESULT AND DISCUSSIONS Predicted and measured monthly H values of Mersin City were showed Fig.…”

Section: B Calculating Of Average Daily Solar Radiation On a Horizonmentioning

confidence: 99%

Modelling of Global Solar Radiation on Horizontal Surfaces for Mersin City

Külcü

Süslü²,

Cihanalp³

et al. 2017

JOCET

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Calculations of all the factors affecting the solar radiation from the atmosphere to the earth; creates a huge workload and the results cannot be obtained with sufficient accuracy. Therefore calculating the solar radiation coming to the earth models have been developed. In this study, the models for the prediction of solar radiation for Mersin city were evaluated using measured solar radiation data. Statistical aspects compliance of studied models were tested and validated which models the closest predicting to measured value.

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Sunshine and global solar radiation estimation at different sites in Egypt

Cited by 106 publications

References 28 publications

Evaluation of various global solar radiation models for Nigeria

Evaluation of various global solar radiation models for Nigeria

Evaluation of sunshine duration from cloud data in Egypt

Modelling of Global Solar Radiation on Horizontal Surfaces for Mersin City

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