Performance assessment of Hargreaves model in estimating solar radiation in Abuja using minimum climatological data

2011 ◽  
Vol 6 (31) ◽  
Author(s):  
Ugwu, A. I.
Keyword(s):  
Solar Radiation ◽  
Performance Assessment ◽  
Climatological Data ◽  
Hargreaves Model

scholarly journals Predictive Performance of Hargreaves Model in Estimating Solar Radiation in Yola, Adamawa State Nigeria Using Minimum Climatological Data

2018 ◽  
pp. 1-8
Author(s):  
Ojo Samuel ◽  
Alimi Taofeek Ayodele ◽  
Amos Anna Solomon
Keyword(s):  
Solar Radiation ◽  
Model Performance ◽  
Predictive Performance ◽  
Global Solar Radiation ◽  
Climatic Data ◽  
Climatological Data ◽  
University Of Technology ◽  
Hargreaves Model ◽  
The Many

Mathematical models have been very useful in reducing challenges encountered by researchers due to the inability of having solar radiation data or lack of instrumental sites at every point on the Earth.  This work aimed at investigating the prediction performance of Hargreaves-Samani’s model in estimating global solar radiation (GSR) out of the many other empirical models so far formulated for this purpose. This model basically uses maximum and minimum temperature data and basically used in mid-latitudes. The paper attempts to assess the predictive performance of Hargreaves-Samani’s model in the Savanna region using Yola as a case study. Estimated values of GSR from one month data adopted from the Meteorological station of the Department of Geography, Federal University of Technology, Yola, Nigeria was used for this purpose. Using this model shows a 95% index of agreement (IA) with the observed values; which suggests a good model performance and can also be used in estimating global solar radiation in the Savanna region particularly in areas with little or no such climatic data.

scholarly journals A short-term solar radiation forecasting system for the Iberian Peninsula. Part 1: Models description and performance assessment

Solar Energy ◽  
2020 ◽  
Vol 195 ◽  
pp. 396-412 ◽  
Author(s):  
Francisco J. Rodríguez-Benítez ◽  
Clara Arbizu-Barrena ◽  
Javier Huertas-Tato ◽  
Ricardo Aler-Mur ◽  
Inés Galván-León ◽  
...  
Keyword(s):  
Solar Radiation ◽  
Performance Assessment ◽  
Iberian Peninsula ◽  
Short Term ◽  
Forecasting System ◽  
And Performance

Performance assessment of different day-of-the-year-based models for estimating global solar radiation - Case study: Egypt

2016 ◽  
Vol 149 ◽  
pp. 69-80 ◽  
Author(s):  
Gasser E. Hassan ◽  
M. Elsayed Youssef ◽  
Mohamed A. Ali ◽  
Zahraa E. Mohamed ◽  
Ali I. Shehata
Keyword(s):  
Solar Radiation ◽  
Performance Assessment ◽  
Global Solar Radiation

Solar Radiation Estimation using Temperature-based, Stochastic and Artificial Neural Networks Approaches

2002 ◽  
Vol 33 (4) ◽  
pp. 291-304 ◽  
Author(s):  
S. Morid ◽  
A. K. Gosain ◽  
Ashok K. Keshari
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Solar Radiation ◽  
Plant Growth ◽  
Hydrological Models ◽  
Climatological Data ◽  
Radiation Data ◽  
Artificial Neural

Radiation is a variable that governs many hydrological and phenological processes, but its measurements are not made routinely. To overcome this problem, continuous hydrological models that include evapotranspiration, snowmelt (using solar radiation data) and plant growth modules have applied different strategies to generate daily radiation data. In this paper, artificial neural networks (ANNs), temperature-based (TB) and stochastic (ST) approaches for estimation of solar radiation have been used and compared. These three approaches have been applied to the Ammameh Catchment, an alpine subcatchment of the Jadjroud River, in Iran. Results reveal better performance for ANNs than for TB and ST. However, the TB method because of its capability to generalize results and to be easily linked with hydrological models appears to be a good candidate to be applied in the catchments where the climatological data are limited.

scholarly journals The influence of solar heating upon ground temperature

2021 ◽  
Vol 2116 (1) ◽  
pp. 012120
Author(s):  
A M Sousa ◽  
L Azevedo ◽  
M J Pereira ◽  
H A Matos
Keyword(s):  
Solar Radiation ◽  
Analytical Solution ◽  
Physical Properties ◽  
Solar Heating ◽  
Ground Temperature ◽  
Climatological Data ◽  
Intraday Data ◽  
Conservation Model ◽  
Transient Thermal ◽  
Volume Method

Abstract To predict the superficial ground temperature due to solar radiation as a function of the depth and rock physical properties, the Finite Volume Method was employed upon an energy conservation model. ANSYS Transient Thermal was selected to simulate a 3D geological volume, 1625 m wide, 2000 m long and with variable height as a function of topographical data. As a result, the variability of ground temperature during a 24h day was assessed. A set of climatological data was used to evaluate the ground temperature for the colder periods. The numerical results were compared against the Kusuda and Achenbach’s analytical solution to evaluate the possibility of extending the validity of a widely used method, from daily to intraday data.

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