With the world’s growing demand for electricity and the crucial need to reduce greenhouse gas emissions, it’s more important than ever to develop renewable energies, particularly solar power. The study carried out in this document is in line with the same principle, i.e. to improve the exploitation of solar energy. Its aim is to develop a mathematical model for mean monthly daily global solar irradiation that is independent of measurement data and suitable for all sites worldwide. For this study, we used daily global solar irradiation data for a horizontal surface. These data are from 60 sites worldwide and cover the period from 2000 to 2023. To examine the quality of the models established in the document, we carried out an investigation into performance tools. We have presented two, including MAPE (Mean Absolute Percentage Error) and Pearson’s correlation coefficient. Based on the daily global solar irradiance data from the 60 sites, the empirical model of extraterrestrial daily solar irradiance, and computational tools, we have formulated mathematical expressions of solar irradiance. It has the particularity of being independent of measurement data such as the duration of the day and temperature of the sites. It requires only the latitudes of the locations to estimate the solar potential values of the sites. A study of the performance of the established model showed that the model of monthly mean daily global solar irradiation values has fairly acceptable accuracy and fairly good correlation.
| Published in | Science Journal of Energy Engineering (Volume 12, Issue 4) |
| DOI | 10.11648/j.sjee.20241204.12 |
| Page(s) | 81-90 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2024. Published by Science Publishing Group |
Daily Global Solar Irradiation, Measurement Data, Maximum and Means Monthly, Models
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APA Style
Ilboudo, J. M., Bonkoungou, D., Tassembedo, S., Koalaga, Z. (2024). General Models for Monthly Average Daily Global Solar Irradiation. Science Journal of Energy Engineering, 12(4), 81-90. https://doi.org/10.11648/j.sjee.20241204.12
ACS Style
Ilboudo, J. M.; Bonkoungou, D.; Tassembedo, S.; Koalaga, Z. General Models for Monthly Average Daily Global Solar Irradiation. Sci. J. Energy Eng. 2024, 12(4), 81-90. doi: 10.11648/j.sjee.20241204.12
AMA Style
Ilboudo JM, Bonkoungou D, Tassembedo S, Koalaga Z. General Models for Monthly Average Daily Global Solar Irradiation. Sci J Energy Eng. 2024;12(4):81-90. doi: 10.11648/j.sjee.20241204.12
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Download@article{10.11648/j.sjee.20241204.12,
author = {Jacques Marie Ilboudo and Dominique Bonkoungou and Sosthene Tassembedo and Zacharie Koalaga},
title = {General Models for Monthly Average Daily Global Solar Irradiation
},
journal = {Science Journal of Energy Engineering},
volume = {12},
number = {4},
pages = {81-90},
doi = {10.11648/j.sjee.20241204.12},
url = {https://doi.org/10.11648/j.sjee.20241204.12},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjee.20241204.12},
abstract = {With the world’s growing demand for electricity and the crucial need to reduce greenhouse gas emissions, it’s more important than ever to develop renewable energies, particularly solar power. The study carried out in this document is in line with the same principle, i.e. to improve the exploitation of solar energy. Its aim is to develop a mathematical model for mean monthly daily global solar irradiation that is independent of measurement data and suitable for all sites worldwide. For this study, we used daily global solar irradiation data for a horizontal surface. These data are from 60 sites worldwide and cover the period from 2000 to 2023. To examine the quality of the models established in the document, we carried out an investigation into performance tools. We have presented two, including MAPE (Mean Absolute Percentage Error) and Pearson’s correlation coefficient. Based on the daily global solar irradiance data from the 60 sites, the empirical model of extraterrestrial daily solar irradiance, and computational tools, we have formulated mathematical expressions of solar irradiance. It has the particularity of being independent of measurement data such as the duration of the day and temperature of the sites. It requires only the latitudes of the locations to estimate the solar potential values of the sites. A study of the performance of the established model showed that the model of monthly mean daily global solar irradiation values has fairly acceptable accuracy and fairly good correlation.
},
year = {2024}
}
TY - JOUR T1 - General Models for Monthly Average Daily Global Solar Irradiation AU - Jacques Marie Ilboudo AU - Dominique Bonkoungou AU - Sosthene Tassembedo AU - Zacharie Koalaga Y1 - 2024/12/03 PY - 2024 N1 - https://doi.org/10.11648/j.sjee.20241204.12 DO - 10.11648/j.sjee.20241204.12 T2 - Science Journal of Energy Engineering JF - Science Journal of Energy Engineering JO - Science Journal of Energy Engineering SP - 81 EP - 90 PB - Science Publishing Group SN - 2376-8126 UR - https://doi.org/10.11648/j.sjee.20241204.12 AB - With the world’s growing demand for electricity and the crucial need to reduce greenhouse gas emissions, it’s more important than ever to develop renewable energies, particularly solar power. The study carried out in this document is in line with the same principle, i.e. to improve the exploitation of solar energy. Its aim is to develop a mathematical model for mean monthly daily global solar irradiation that is independent of measurement data and suitable for all sites worldwide. For this study, we used daily global solar irradiation data for a horizontal surface. These data are from 60 sites worldwide and cover the period from 2000 to 2023. To examine the quality of the models established in the document, we carried out an investigation into performance tools. We have presented two, including MAPE (Mean Absolute Percentage Error) and Pearson’s correlation coefficient. Based on the daily global solar irradiance data from the 60 sites, the empirical model of extraterrestrial daily solar irradiance, and computational tools, we have formulated mathematical expressions of solar irradiance. It has the particularity of being independent of measurement data such as the duration of the day and temperature of the sites. It requires only the latitudes of the locations to estimate the solar potential values of the sites. A study of the performance of the established model showed that the model of monthly mean daily global solar irradiation values has fairly acceptable accuracy and fairly good correlation. VL - 12 IS - 4 ER -
Institute of Research in Applied Sciences and Technologies, Ouagadougou, Burkina Faso
Departement of Applied Science, University of Thomas Sankara, Ouagadougou, Burkina Faso
Departement of Applied Science, University of Joseph Ki-Zerbo, Ouagadougou, Burkina Faso
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