TITLE:
Modeling of the Global Daily Horizontal Solar Radiation Data over Togo
AUTHORS:
Yendoubé Lare, Kanlanféi Sambiani, Kokou Amega, Moyème Kabe
KEYWORDS:
Horizontal Solar Radiation, Modeling, Non-Linear Regression, Statistical Errors
JOURNAL NAME:
Energy and Power Engineering,
Vol.13 No.12,
December
14,
2021
ABSTRACT: Solar photovoltaic appears to be the most interesting renewable energy in
developing countries where its deposit is abundant. Unfortunately, the lack of
precise knowledge of solar radiation deposit and its limited data hinder
optimal exploitation of solar installations. This study presents a performing
model for daily global horizontal solar radiation for the five regional capitals
in Togo: Lomé, Atakpamé, Sokodé, Kara and Dapaong. The data used for the study
were obtained from the General Directorate of National Meteorology of Togo, for
five years. The model developed combines linear and nonlinear methods with
harmonic and exponential terms taking into account climatological parameters
such as location latitude, daily relative humidity, daily ratio of sunshine
duration and daily mean temperature. Statistical errors of the model were
compared to those of two previous models elaborated for Togo and Nigeria. The
results showed that the model is more efficient to predict global horizontal
solar radiation over the five main cities in Togo. The comparison of estimated
data and measured ones showed a good agreement between them.