Uses of sunshine duration to estimate the global solar radiation over eight meteorological stations in Egypt

Tadros, Mariz

doi:10.1016/s0960-1481(00)00009-4

Cited by 72 publications

(30 citation statements)

References 6 publications

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“…The sixth (exponential) and seventh (power) regression models were proposed by Elagib & Monsell and Coppolino, respectively [15,16]. Correlation coefficient values were calculated from the regression analysis between K T and R S in a daily and monthly basis as proposed by Tadros in Egypt [17].…”

Section: Methodsmentioning

confidence: 99%

Prediction of Global Solar Radiation in Abu Dhabi

Assi

Jama

Al-Shamisi

2012

ISRN Renewable Energy

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Mathematical expressions have been employed to estimate global solar radiation on horizontal from relative sunshine duration for two weather stations in the United Arab Emirates (UAE), which are Abu Dhabi and Al Ain. These expressions include the original Angstrom-Prescott regression function (linear), quadratic function, third-order function, single-term exponential function, power function, logarithmic, and linear-logarithmic function. The predicted values were compared to the measured values using number of statistical methods to validate the goodness of the fits, such as residual analysis and goodness of fit statistics. All the used mathematical models performed generally well in both cities of Abu Dhabi and Al Ain, with all values of the coefficient of determination (R 2 ) higher than 75%. Specifically, the linear Angstrom-Prescott model estimated the average monthly global radiation on horizontal best for the city of Abu Dhabi, providing the second lowest mean absolute percentage error (MAPE) of 1.89% and the highest value of R 2 , which is approximately 94%, while the third-order model proved to be the best estimator for the city of Al Ain, providing the lowest MAPE value (3.06%) and a corresponding R 2 of 83%.

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Section: Methodsmentioning

confidence: 99%

Prediction of Global Solar Radiation in Abu Dhabi

Assi

Jama

Al-Shamisi

2012

ISRN Renewable Energy

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“…For evaluating the suitability of the three endmember extraction methods, we use t-statistics as the statistical indicator. This allows several methods to be compared based on the sample size (n) and indicates whether or not the model estimations are statistically significant at a particular confidence level (Stone 1993, Tadros 2000. It is calculated using both the RMSE and the mean bias error (MBE).…”

Section: 44mentioning

confidence: 99%

Quantitative forest canopy structure assessment using an inverted geometric‐optical model and up‐scaling

Zeng

Schaepman

et al. 2009

International Journal of Remote Sensing

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“…The key drawback of solar systems is unpredictable nature and in consequences the unpredictable system power output. The electrical energy production depends on the local weather and climatic conditions [4][5][6]. Despite the great progress in weather forecast still accurately solar radiation prediction it is not possible.…”

Section: Introductionmentioning

confidence: 99%

Mathematical model for the power generation from arbitrarily oriented photovoltaic panel

2017

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Abstract. In this paper, a mathematical model for modelling the solar radiation components and photovoltaic arrays power outputs from arbitrarily oriented photovoltaic panel has been presented. Base on the model electrical power prediction of the photovoltaic system in realistic local condition has been presented and compared with experimental measurement. The results show the effectiveness of the proposed model, which provides tools to better understand the performance and reliability as well as decision-making tool in designing of a hybrid renewable energy base power generation system. It has been shown that base on the model prediction, the efficiency and possible failures of the system can be found which are important from the technical and economical point of view.

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Uses of sunshine duration to estimate the global solar radiation over eight meteorological stations in Egypt

Cited by 72 publications

References 6 publications

Prediction of Global Solar Radiation in Abu Dhabi

Prediction of Global Solar Radiation in Abu Dhabi

Quantitative forest canopy structure assessment using an inverted geometric‐optical model and up‐scaling

Mathematical model for the power generation from arbitrarily oriented photovoltaic panel

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