Research Article
An Improved Approach for Maximum Daily Global Solar Irradiance Estimation
Jacques Marie Ilboudo,
Dominique Bonkoungou*,
Wilfried Rimnogdo Ouedraogo,
Sosthene Tassembedo,
Zacharie Koalaga
Issue:
Volume 14, Issue 1, February 2025
Pages:
1-11
Received:
25 November 2024
Accepted:
31 December 2024
Published:
21 January 2025
DOI:
10.11648/j.ajep.20251401.11
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Abstract: In the current context of climate change, solar energy stands out as a significant alternative to fossil fuels, which are both polluting and non-renewable. However, one of the main challenges in harnessing solar energy is the limited availability of data on solar radiation. Collecting solar radiation data through meteorological stations incurs considerable costs, unlike certain solar irradiation models that can provide such data for free. To facilitate access to solar irradiation information at no cost and to enhance the adoption and competitiveness of solar energy, it is crucial to develop practical daily global solar irradiation models that are applicable worldwide. This study aligns with that objective, aiming to develop a general model for estimating the maximum daily global solar irradiation. We use daily global solar irradiation data collected from 60 sites, spanning the years 2000 to 2023, for horizontal ground surfaces. To evaluate the performance of the proposed model, we conducted a detailed analysis using performance metrics. Two key indicators are highlighted in this manuscript: MAPE (Mean Absolute Percentage Error) and Pearson’s correlation coefficient. By utilizing daily global solar irradiation data from the 60 sites, empirical mathematical relationships for extraterrestrial daily solar irradiation, and computational tools, we established a mathematical expression for estimating maximum daily global solar irradiation. This model is specifically designed as a function of latitude and is independent of measured data such as sunshine duration, temperature, or humidity. Based on the performance indicators, the derived mathematical model demonstrates reasonable accuracy and a strong correlation.
Abstract: In the current context of climate change, solar energy stands out as a significant alternative to fossil fuels, which are both polluting and non-renewable. However, one of the main challenges in harnessing solar energy is the limited availability of data on solar radiation. Collecting solar radiation data through meteorological stations incurs cons...
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