Simple model for the generation of daily global solar-radiation data in Turkey

In this study, the performance of three global solar radiation models and the accuracy of global solar radiation data derived from three sources were compared. Twenty-two years (1984–2005) of surface meteorological data consisting of monthly mean daily sunshine duration, minimum and maximum temperatures, and global solar radiation collected from the Nigerian Meteorological (NIMET) Agency, Oshodi, Lagos, and the National Aeronautics Space Agency (NASA) for three locations in North-Western region of Nigeria were used. A new model incorporating Garcia model into Angstrom-Prescott model was proposed for estimating global radiation in Nigeria. The performances of the models used were determined by using mean bias error (MBE), mean percentage error (MPE), root mean square error (RMSE), and coefficient of determination (R2). Based on the statistical error indices, the proposed model was found to have the best accuracy with the least RMSE values (0.376 for Sokoto, 0.463 for Kaduna, and 0.449 for Kano) and highest coefficient of determination, R2 values of 0.922, 0.938, and 0.961 for Sokoto, Kano, and Kaduna, respectively. Also, the comparative study result indicates that the estimated global radiation from the proposed model has a better error range and fits the ground measured data better than the satellite-derived data.

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Analysis of Experimental Solar Radiation Data for Osogbo, Nigeria

Fountain Journal of Natural and Applied Sciences ◽

10.53704/fujnas.v8i1.296 ◽

2019 ◽

Vol 8 (1) ◽

Author(s):

Abdulhamid Yusuf ◽

Hakeem Bolarinwa ◽

Lukman Animasahun ◽

Yinusa Babatunde

Keyword(s):

Solar Radiation ◽

Global Solar Radiation ◽

Total Radiation ◽

Wet Season ◽

Annual Average ◽

Percentage Frequency ◽

Monthly Average ◽

Radiation Data ◽

Maximum Value ◽

Daily Total

An analysis of measured global solar radiation (GR) in Osogbo (7.77oN, 4.57oE, 288m) is presented in the form of hourly average, monthly average and percentage frequency distribution. The experimental data corresponds to a year data of 2017. The results reveal that the monthly average values of daily total radiation exhibit seasonal variation with maximum value in dry season month of March (16.59MJ/m2) and minimum value in wet season month of August (8.98 MJ/m2). The annual average GR value is 14.20 MJ/m2 while the annual cumulative GR is 5122 MJ/m2. The solar radiation climate of Osogbo has also been compared to those reported for a number of locations. The percentage frequency of days possessing irradiation rate greater than 15 MJ/m2 is 14 percent whereas that possessing less than 10 MJ/m2 is 61 percent. We conclude, based upon the above analysis that Osogbo is characterized by relatively low global solar radiation.

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An Intelligent Memory Model for Short-Term Prediction: An Application to Global Solar Radiation Data

Trends in Applied Intelligent Systems - Lecture Notes in Computer Science ◽

10.1007/978-3-642-13033-5_61 ◽

2010 ◽

pp. 596-605

Author(s):

Llanos Mora-Lopez ◽

Juan Mora ◽

Michel Piliougine ◽

Mariano Sidrach-de-Cardona

Keyword(s):

Solar Radiation ◽

Global Solar Radiation ◽

Memory Model ◽

Short Term ◽

Radiation Data ◽

Intelligent Memory ◽

Term Prediction ◽

Short Term Prediction

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Parametrization of Models and Use of Estimated Global Solar Radiation Data in the Irrigated Rice Yield Simulation

Revista Brasileira de Meteorologia ◽

10.1590/0102-7786332003 ◽

2018 ◽

Vol 33 (2) ◽

pp. 238-246

Author(s):

João Rodrigo de Castro ◽

Santiago Vianna Cuadra ◽

Luciana Barros Pinto ◽

João Marcelo Hoffmann de Souza ◽

Marcos Paulo dos Santos ◽

...

Keyword(s):

Solar Radiation ◽

Air Temperature ◽

Rice Yield ◽

Simulation Models ◽

Global Solar Radiation ◽

Empirical Models ◽

Potential Yield ◽

Irrigated Rice ◽

Radiation Data ◽

The Impact

Abstract The objective of this study was to evaluate the use of estimated global solar radiation data in the simulations of potential yield of irrigated rice. Global solar radiation was estimated by four empirical models, based on air temperature, and a meteorological satellite derivated. The empirical models were calibrated and validated for 10 sites, representative of the six rice regions of the State of Rio Grande do Sul - Brazil. To evaluate the impact of the radiation estimates on irrigated rice yield simulations, the CERES-Rice model, calibrated for four cultivars, was used. The estimates of global solar radiation of the empirical models based on the air temperature showed deviations, from the observed values, of 20 to 30% and the estimated by satellite deviations of more than 30%. The global solar radiation data estimated by the Hargreaves and Samani, Donatelli and Campbell and derived satellite (PowerNasa) type air temperature-based empirical models can be used as input data in simulation models of crop growth, development and productivity of irrigated rice.

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Generation of synthetic daily global solar radiation data based on ERA-Interim reanalysis and artificial neural networks

Energy ◽

10.1016/j.energy.2011.06.044 ◽

2011 ◽

Vol 36 (8) ◽

pp. 5356-5365 ◽

Cited By ~ 62

Author(s):

Alvaro Linares-Rodríguez ◽

José Antonio Ruiz-Arias ◽

David Pozo-Vázquez ◽

Joaquín Tovar-Pescador

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Solar Radiation ◽

Global Solar Radiation ◽

Radiation Data ◽

Artificial Neural

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A Modified Method to Generate Typical Meteorological Years from the Long-Term Weather Database

International Journal of Photoenergy ◽

10.1155/2012/538279 ◽

2012 ◽

Vol 2012 ◽

pp. 1-9 ◽

Cited By ~ 15

Author(s):

Haixiang Zang ◽

Qingshan Xu ◽

Pengwei Du ◽

Katsuhiro Ichiyanagi

Keyword(s):

Relative Humidity ◽

Solar Radiation ◽

Solar Energy ◽

Atmospheric Pressure ◽

Energy Systems ◽

Global Solar Radiation ◽

Weather Data ◽

Radiation Data ◽

Modified Method

A modified typical meteorological year (TMY) method is proposed for generating TMY from practical measured weather data. A total of eleven weather indices and novel assigned weighting factors are applied in the processing of forming the TMY database. TMYs of 35 cities in China are generated based on the latest and accurate measured weather data (dry bulb temperature, relative humidity, wind velocity, atmospheric pressure, and daily global solar radiation) in the period of 1994–2010. The TMY data and typical solar radiation data are also investigated and analyzed in this paper, which are important in the utilizations of solar energy systems.

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