Estimation of global radiation for Sri Lanka

Samuel, Thomas

doi:10.1016/0038-092x(91)90026-s

Cited by 158 publications

(55 citation statements)

References 7 publications

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“…The second model is the Akinoglu and Ecevit regression model, which is a correlation between K T and R S in a second-order (quadratic) polynomial [11]. Samuel suggested the third regression model, which represents a third-order correlation [12]. Ampratwum and Dorvlo proposed the fourth used regression model, which is a logarithmic correlation between K T and R S [13].…”

Section: Methodsmentioning

confidence: 99%

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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%

“…Each of these coefficients gives an indication about the solar radiation characteristics for the location under investigation. For Third order (Samuel [12])…”

Section: Theorymentioning

confidence: 99%

Prediction of Global Solar Radiation in Abu Dhabi

Assi

Jama

Al-Shamisi

2012

ISRN Renewable Energy

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“…Model reference Type Equation (Podesta, 2004) Linear y= b 1 +b 2 * x (Akinoglu & Ecevit, 1990) Quadratic y= b 1 +b 2 * x+b 3 * x 2 (Samuel, 1991) Cubic y= b 1 +b 2 * x+b 3 * x 2 +b 4 * x 3 (Ampratwum & Dorvlo, 1999) Logarithmic y= b 1 + b 2 *log( x) (Newland, 1988) Log-Linear y= b 1 + b 2 * x+ b 3 *log( x) (Elagib & Monsell, 2000) Exponential y= b 1 * exp(b 2 *x) …”

Section: Extra-terrestrial Radiation Parametersmentioning

confidence: 99%

“…This is due to the dynamic nature of MATLAB and its rich toolboxes that cover almost every aspect of mathematical and statistical engineering applications. Numerous authors (Abdalla & Feregh, 1988;Akinoglu & Ecevit, 1990;Al Mahdi et al, 1992;Ampratwum & Drovlo, 1999;Elagib & Mansell, 2000;Khalil & Alnajjar, 1995;Menges et al, 2006;Newland, 1988;Podesta' et al, 2004;Sahin, 2007;Samuel, 1991;Ulgen & Hepbasli, 2002) to count few developed empirical regression models to predict the monthly average daily global solar radiation (GSR) in their region using various parameters. The mean daily sunshine duration was the most commonly used and available parameter.…”

Section: Introductionmentioning

confidence: 99%

MATLAB-Assisted Regression Modeling of Mean Daily Global Solar Radiation in Al-Ain, UAE

Hejase¹,

Assi²

2011

Engineering Education and Research Using MATLAB

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“…However, specific models were proposed for individual countries. For example, Daneshyar (1978), Ashjaee et al (1993), Bahadorinejad (2004 and Sabziparvar (2008) presented models for different regions of Iran; Pisimanis et al (1987) developed a model for Greece; Ertekin et al (1999) developed a model for Turkey; Hutchinson et al (1984) proposed a model for Australia; Orozco (1967) developed a model for Guatemala; Feuilard et al (1989) proposed a model for Guadeloupe; Ledanois et al (1988) developed a model for Venezuela; Alaruri et al (1993) proposed a model for Kuwait; Amad et al (1983) developed a model for Iraq; Tiris et al (1996) suggested a model for Gebze; Samuel (1991) proposed a model for Srilanka; Hawas et al (1983) developed a model for India; Raja et al (1989) suggested a model for Pakistan; Ezekwe et al (1891) developed a model for Nigeria;Newland (1989) proposed a model for south China; Chuah and Donald Lee (1981) suggested a model for Malaysia; Kamel et al (1993) developed a model for Egypt.…”

Section: Introductionmentioning

confidence: 99%

Predicting solar radiation fluxes for solar energy system applications

Saffaripour

Mehrabian

Bazargan

2013

Int. J. Environ. Sci. Technol.

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The mean daily global solar radiation flux is influenced by astronomical, climatological, geographical, geometrical, meteorological, and physical parameters. This paper deals with the study of the effects of influencing parameters on the mean daily global solar radiation flux, and also with the computation of the solar radiation flux at the surface of the earth in locations without solar radiation measurements. The reference-real data were borrowed from the Iranian Meteorological Organization. The analysis of data showed that the mean daily solar radiation flux on a horizontal surface is related to parameters such as: mean daily extraterrestrial solar radiation, average daily ratio of sunshine duration, mean daily relative humidity, mean daily maximum air temperature, mean daily maximum dew point temperature, mean daily atmospheric pressure, and sine of the solar declination angle. Multiple regression and correlation analysis were applied to predict the mean daily global solar radiation flux on a horizontal surface. The models were validated when compared with the referencemeasured data of global solar radiation flux. The results showed that the models estimate the global solar radiation flux within a narrow relative error band. The values of mean bias errors and root mean square errors were within acceptable margins. The predicted values of global solar radiation flux by this approach can be used for the design and performance estimation in solar applications. The model can be used in areas where meteorological stations do not exist and information on solar radiation flux cannot be obtained experimentally.

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Estimation of global radiation for Sri Lanka

Cited by 158 publications

References 7 publications

Prediction of Global Solar Radiation in Abu Dhabi

Prediction of Global Solar Radiation in Abu Dhabi

MATLAB-Assisted Regression Modeling of Mean Daily Global Solar Radiation in Al-Ain, UAE

Predicting solar radiation fluxes for solar energy system applications

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