Abstract:
Inadequate installations of materials such as solar water heaters, solar stills, solar dryers, solar cookers, etc.
Which required solar radiation and maximally, in the area location is a major problem and this hinders the
abundant utilization of solar energy as it can be harnessed directly without any requirement of external energy
such as electricity. It is the lack of information that limits the number of installations in the study area.
Therefore, it is compulsory to study and analyzed the solar radiation of our environment to get a better view of
monitoring the performance of solar energy conversion systems in Sokoto State, so that companies and
government should know what period or seasons can therefore utilize the abundant solar energy. A new model
was developed for the estimation of the monthly average daily global solar radiation. In this research, a modified
angstrom model for estimation of global solar radiation in Sokoto, Nigeria using sunshine duration based on
meteorological data was used. However, solar radiation estimates are too local since they rely on weather
stations or have a resolution that is to satellites. In this work, a model was developed for the estimation of global
solar radiation on the horizontal surfaces for Sokoto at the latitude of m13 13.00E and longitude of 5.250N. Global
solar radiation and maximum temperature data for Sokoto were used to fit the Angstrom model, Regression
coefficients a, b, and c. 1.12, 0.65, and 0.32 respectively were obtained from the models based on sunshine
duration respectively. In order to evaluate the results, three statistical methods have been used namely: mean
bias, root mean square, and percentage errors of values -6.47, 6.47, and 41.20% respectively. It was found
from the statistical model’s performance indicators that the model provides a reasonably high degree of precision
in the estimation of average global solar radiation on horizontal surfaces. |
