PREDICTION OF SOLAR RADIATION PATTERNS FOR SUSTAINABLE IMPLEMENTATION OF SOLAR POWER GENERATION

The paper investigates the patterns of solar radiation in different function series and estimate the error for each function. The study aims at predicting the maximum solar energy generation per month, the pattern of solar radiation energy with sunshine hours and month with peak solar energy radiati...

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Bibliographic Details
Published in:Annals of Faculty Engineering Hunedoara 2017-11, Vol.15 (4), p.153-160
Main Authors: Afolabi, L O, Adewunmi, O T, Seluwa, E O, Soliu-Salau, G A, Odeniyi, O M
Format: Article
Language:English
Subjects:
Dry season
Electricity generation
Error analysis
Logarithms
Mathematical models
Photovoltaic cells
Predictions
Solar cells
Solar energy
Solar power generation
Solar radiation
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Summary:The paper investigates the patterns of solar radiation in different function series and estimate the error for each function. The study aims at predicting the maximum solar energy generation per month, the pattern of solar radiation energy with sunshine hours and month with peak solar energy radiation. Exponent, linear, quadratic, cubic, logarithms, and exponential empirical models were used to predict the solar radiation and it was found that statistical, Cubic and quadratic empirical model has lowest RMSE and MBE and highest R2 values. The months with highest estimated global solar radiation are the early dry season, August, October, November and December and it's possible by Installing PV panel to generate energy in order to reduce the cost of energy production because average monthly daily solar radiation is4.2 kWh/m2and 3.89 kWh/m2 in a year.
ISSN:1584-2665
2601-2332