Improved statistical procedure for the evaluation of solar radiation estimation models

Stone, Reynold J.

doi:10.1016/0038-092x(93)90124-7

Cited by 351 publications

(129 citation statements)

References 6 publications

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“…From equations (32,33), one can see that a correlation exists between the constant a and b, the average related sunshine duration and the ground albedo. The current method is established on this relationship and is therefore superior to the methods that use coefficients of presumed worldwide validity.…”

Section: Resultsmentioning

confidence: 99%

Prediction of Solar Radiation for the Major Climates of Jordan: A Regression Model

Badran¹,

Dwaykat²

2018

J. Ecol. Eng.

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Multiple regression models were developed for calculating the regression coefficients a and b of the Angström-type equation for estimating the monthly average daily global radiation on a horizontal surface for six major climates in Jordan. The equations for a and b were developed from the available values of these constants reported in the literature for locations across the country, along with the sunshine duration and the values of ground albedo (ρ g ). The developed correlations were tested for their applicability by estimating the regression constants and the solar radiation for six locations spread over the country, which were Irbid, Amman, Azraq, Al-Shawbak, Ma'an and Aqaba. The remarkable agreement between the estimated and experimental data of solar radiation in those locations suggests a wide applicability of the method for the locations with sunshine duration ranging from 0.7 to 0.8. The maximum and minimum percentages of error for those locations were found to be 6.3, 0.05%, respectively.

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Section: Resultsmentioning

confidence: 99%

Prediction of Solar Radiation for the Major Climates of Jordan: A Regression Model

Badran¹,

Dwaykat²

2018

J. Ecol. Eng.

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“…Other parameters such as standard deviation, mean bias error, mean absolute error and mean square error are also used to find the accuracy of models. However, in reference [16], it is suggested that for such empirical models, root mean square error may results in a higher value if there are a few high values in the sample, while mean bias errors can cancel out if negative and positive biases are present.…”

Section: Resultsmentioning

confidence: 99%

Estimating solar irradiation in the Arctic

Babar

Boström

2016

Renew. Energy Environ. Sustain.

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Abstract. Solar radiation data plays an important role in pre-feasibility studies of solar electricity and/or thermal system installations. Measured solar radiation data is scarcely available due to the high cost of installing and maintaining high quality solar radiation sensors (pyranometers). Indirect measured radiation data received from geostationary satellites is unreliable at latitudes above 60 degrees due to the resulting flat viewing angle. In this paper, an empirical method to estimate solar radiation based on minimum climatological data is proposed. Eight sites in Norway are investigated, all of which lie above 60 N. The estimations by the model are compared to the ground measured values and a correlation coefficient of 0.88 was found while over all percentage error was −1.1%. The proposed models is 0.2% efficient on diurnal and 10.8% better in annual estimations than previous models.

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“…Exergy of the absorbed solar radiation can be calculated using the following expression [19,20]: where ŋ PVT , ŋ el , ŋ th , and ŋ pp are the equivalent thermal efficiency, the electrical and thermal efficiency, and the electrical power generation efficiency of the power plant, respectively. Model calibration for short-term performance evaluation is performed using root mean square error (RMSE) analysis and other statistical indicators, as follows [21,22]:…”

Section: Energy Balance For Fluidmentioning

confidence: 99%

Performance Optimization of Unglazed Nanofluid Photovoltaic/Thermal System: Energy and Exergy Analyses

Hussain

Kim

2018

International Journal of Photoenergy

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The focus of this paper is to predict the transient response of a nanoengineered photovoltaic thermal (PV/T) system in view of energy and exergy analyses. Instead of a circular-shaped receiver, a trapezoidal-shaped receiver is employed to increase heat transfer surface area with photovoltaic (PV) cells for improvement of heat extraction and thus achievement of a higher PV/T system efficiency. The dynamic mathematical model is developed using MATLAB® software by considering real-time heat transfer coefficients. The proposed model is validated with experimental data from a previous study. Negligible discrepancies were found between measured and predicted data. The validated model was further investigated in detail using different nanofluids by dispersing copper oxide (CuO) and aluminum oxide (Al 2 O 3 ) in pure water. The overall performance of the nanoengineered PV/T system was compared to that of a PV/T system using water only, and optimal operating conditions were determined for maximum useful energy and exergy rates. The results indicated that the CuO/water nanofluid has a notable impact on the energy and exergy efficiencies of the PV/T system compared to that of Al 2 O 3 /water nanofluid and water only cases.

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Improved statistical procedure for the evaluation of solar radiation estimation models

Cited by 351 publications

References 6 publications

Prediction of Solar Radiation for the Major Climates of Jordan: A Regression Model

Prediction of Solar Radiation for the Major Climates of Jordan: A Regression Model

Estimating solar irradiation in the Arctic

Performance Optimization of Unglazed Nanofluid Photovoltaic/Thermal System: Energy and Exergy Analyses

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