Mathematical Prediction of Electrical Solar Energy Based on Solar Data for Two Main Cities of Chad: Mongo in the Centre and Pala in the South of Chad

Ali Ramadan Ali; Mahamat Kher Nediguina; Adoum Kriga; Marinette Jeutho Gouajio; Adoum Danao Adile; Fabien Kenmogne; Abakar Mahamat Tahir

doi:doi:10.11648/j.jeece.20240901.14

Research Article |

Mathematical Prediction of Electrical Solar Energy Based on Solar Data for Two Main Cities of Chad: Mongo in the Centre and Pala in the South of Chad

Ali Ramadan Ali, Mahamat Kher Nediguina, Adoum Kriga, Marinette Jeutho Gouajio, Adoum Danao Adile, Fabien Kenmogne^*, Abakar Mahamat Tahir

Published in Journal of Energy, Environmental & Chemical Engineering (Volume 9, Issue 1)

Received: 6 February 2024 Accepted: 26 February 2024 Published: 13 March 2024

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Abstract

The comparative study of the solar powers between two main cities of Chad is performed in the present work, the city of Mongo in the Centre and that of Pala in the South, with an aim of knowing which one of the two cities is more adequate for an installation of the solar power station, taking into account the regional climatic and environmental conditions of both cities. To do this, the graphical statistical analysis of long-term solar irradiance data and temperature is performed. The data used is that of the decade (2010-2020), based on solar radiation data handed by the National Aeronautics and Space Administration (NASA) and Photovoltaic Geographical Information System (PGIS) for Mongo in the centre and Pala in the south of Chad. The shape of the mean monthly irradiation has been plotted and has been approximated using the sinusoidal function through the mean square analysis. The temperature data has been also obtained by the same process and plotted versus irradiance in order to find the adequate mathematical relationship between them. For the statistical analysis, the maximum entropy principle has been used. As results, it is found that the maximum irradiance is obtained in March, which are 226.26kWh/m² for Pala and 219.355kWh/m² for Mongo, while the minimum irradiances are obtained in August, which are 151.67kWh/m² for Pala and 158.9kWh/m² for Mongo. The temperature data is also obtained and the mean monthly data plotted, showing that apart for the months of March and April, the the shapes of irradiation and temperatures are similar for both sites. Then it is found that the frequency and probability density distributions reach their maximum at the same dates.

Published in	Journal of Energy, Environmental & Chemical Engineering (Volume 9, Issue 1)
DOI	10.11648/j.jeece.20240901.14
Page(s)	33-45
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

Keywords

Irradiation Solar Data, Temperature Data, Maximum Entropy Principle, Mean Square Analysis, Statistical Analysis

References

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APA Style

Ali, A. R., Nediguina, M. K., Kriga, A., Gouajio, M. J., Adile, A. D., et al. (2024). Mathematical Prediction of Electrical Solar Energy Based on Solar Data for Two Main Cities of Chad: Mongo in the Centre and Pala in the South of Chad. Journal of Energy, Environmental & Chemical Engineering, 9(1), 33-45. https://doi.org/10.11648/j.jeece.20240901.14

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ACS Style

Ali, A. R.; Nediguina, M. K.; Kriga, A.; Gouajio, M. J.; Adile, A. D., et al. Mathematical Prediction of Electrical Solar Energy Based on Solar Data for Two Main Cities of Chad: Mongo in the Centre and Pala in the South of Chad. J. Energy Environ. Chem. Eng. 2024, 9(1), 33-45. doi: 10.11648/j.jeece.20240901.14

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AMA Style

Ali AR, Nediguina MK, Kriga A, Gouajio MJ, Adile AD, et al. Mathematical Prediction of Electrical Solar Energy Based on Solar Data for Two Main Cities of Chad: Mongo in the Centre and Pala in the South of Chad. J Energy Environ Chem Eng. 2024;9(1):33-45. doi: 10.11648/j.jeece.20240901.14

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@article{10.11648/j.jeece.20240901.14,
  author = {Ali Ramadan Ali and Mahamat Kher Nediguina and Adoum Kriga and Marinette Jeutho Gouajio and Adoum Danao Adile and Fabien Kenmogne and Abakar Mahamat Tahir},
  title = {Mathematical Prediction of Electrical Solar Energy Based on Solar Data for Two Main Cities of Chad: Mongo in the Centre and Pala in the South of Chad},
  journal = {Journal of Energy, Environmental & Chemical Engineering},
  volume = {9},
  number = {1},
  pages = {33-45},
  doi = {10.11648/j.jeece.20240901.14},
  url = {https://doi.org/10.11648/j.jeece.20240901.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jeece.20240901.14},
  abstract = {The comparative study of the solar powers between two main cities of Chad is performed in the present work, the city of Mongo in the Centre and that of Pala in the South, with an aim of knowing which one of the two cities is more adequate for an installation of the solar power station, taking into account the regional climatic and environmental conditions of both cities. To do this, the graphical statistical analysis of long-term solar irradiance data and temperature is performed. The data used is that of the decade (2010-2020), based on solar radiation data handed by the National Aeronautics and Space Administration (NASA) and Photovoltaic Geographical Information System (PGIS) for Mongo in the centre and Pala in the south of Chad. The shape of the mean monthly irradiation has been plotted and has been approximated using the sinusoidal function through the mean square analysis. The temperature data has been also obtained by the same process and plotted versus irradiance in order to find the adequate mathematical relationship between them. For the statistical analysis, the maximum entropy principle has been used. As results, it is found that the maximum irradiance is obtained in March, which are 226.26kWh/m2 for Pala and 219.355kWh/m2 for Mongo, while the minimum irradiances are obtained in August, which are 151.67kWh/m2 for Pala and 158.9kWh/m2 for Mongo. The temperature data is also obtained and the mean monthly data plotted, showing that apart for the months of March and April, the the shapes of irradiation and temperatures are similar for both sites. Then it is found that the frequency and probability density distributions reach their maximum at the same dates.
},
 year = {2024}
}

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TY  - JOUR
T1  - Mathematical Prediction of Electrical Solar Energy Based on Solar Data for Two Main Cities of Chad: Mongo in the Centre and Pala in the South of Chad
AU  - Ali Ramadan Ali
AU  - Mahamat Kher Nediguina
AU  - Adoum Kriga
AU  - Marinette Jeutho Gouajio
AU  - Adoum Danao Adile
AU  - Fabien Kenmogne
AU  - Abakar Mahamat Tahir
Y1  - 2024/03/13
PY  - 2024
N1  - https://doi.org/10.11648/j.jeece.20240901.14
DO  - 10.11648/j.jeece.20240901.14
T2  - Journal of Energy, Environmental & Chemical Engineering
JF  - Journal of Energy, Environmental & Chemical Engineering
JO  - Journal of Energy, Environmental & Chemical Engineering
SP  - 33
EP  - 45
PB  - Science Publishing Group
SN  - 2637-434X
UR  - https://doi.org/10.11648/j.jeece.20240901.14
AB  - The comparative study of the solar powers between two main cities of Chad is performed in the present work, the city of Mongo in the Centre and that of Pala in the South, with an aim of knowing which one of the two cities is more adequate for an installation of the solar power station, taking into account the regional climatic and environmental conditions of both cities. To do this, the graphical statistical analysis of long-term solar irradiance data and temperature is performed. The data used is that of the decade (2010-2020), based on solar radiation data handed by the National Aeronautics and Space Administration (NASA) and Photovoltaic Geographical Information System (PGIS) for Mongo in the centre and Pala in the south of Chad. The shape of the mean monthly irradiation has been plotted and has been approximated using the sinusoidal function through the mean square analysis. The temperature data has been also obtained by the same process and plotted versus irradiance in order to find the adequate mathematical relationship between them. For the statistical analysis, the maximum entropy principle has been used. As results, it is found that the maximum irradiance is obtained in March, which are 226.26kWh/m2 for Pala and 219.355kWh/m2 for Mongo, while the minimum irradiances are obtained in August, which are 151.67kWh/m2 for Pala and 158.9kWh/m2 for Mongo. The temperature data is also obtained and the mean monthly data plotted, showing that apart for the months of March and April, the the shapes of irradiation and temperatures are similar for both sites. Then it is found that the frequency and probability density distributions reach their maximum at the same dates.

VL  - 9
IS  - 1
ER  -

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Author Information

Ali Ramadan Ali

Department of Industrial Engineering and Maintenance, Polytechnic University of Mongo, Mongo, Chad
Mahamat Kher Nediguina

Department of Physics, Faculty of Exact and Applied Sciences, University of Ndjamena (Scientific Facilitator in Cecoqda), Ndjamena, Chad
Adoum Kriga

Department of Industrial Engineering and Maintenance, Polytechnic University of Mongo, Mongo, Chad
Marinette Jeutho Gouajio

Department of Fundamental and Transversal Sciences, National Advanced School of Public Works, Yaoundé, Cameroon
Adoum Danao Adile

Department of Industrial Engineering and Maintenance, Polytechnic University of Mongo, Mongo, Chad
Fabien Kenmogne

Department of Civil Engineering, Advanced Teacher Training College of the Technical Education, University of Douala, Douala, Cameroon

Contact Email
Abakar Mahamat Tahir

Department of Industrial Engineering and Maintenance, Polytechnic University of Mongo, Mongo, Chad

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Plain Text BibTeX RIS

APA Style

Ali, A. R., Nediguina, M. K., Kriga, A., Gouajio, M. J., Adile, A. D., et al. (2024). Mathematical Prediction of Electrical Solar Energy Based on Solar Data for Two Main Cities of Chad: Mongo in the Centre and Pala in the South of Chad. Journal of Energy, Environmental & Chemical Engineering, 9(1), 33-45. https://doi.org/10.11648/j.jeece.20240901.14

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ACS Style

Ali, A. R.; Nediguina, M. K.; Kriga, A.; Gouajio, M. J.; Adile, A. D., et al. Mathematical Prediction of Electrical Solar Energy Based on Solar Data for Two Main Cities of Chad: Mongo in the Centre and Pala in the South of Chad. J. Energy Environ. Chem. Eng. 2024, 9(1), 33-45. doi: 10.11648/j.jeece.20240901.14

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AMA Style

Ali AR, Nediguina MK, Kriga A, Gouajio MJ, Adile AD, et al. Mathematical Prediction of Electrical Solar Energy Based on Solar Data for Two Main Cities of Chad: Mongo in the Centre and Pala in the South of Chad. J Energy Environ Chem Eng. 2024;9(1):33-45. doi: 10.11648/j.jeece.20240901.14

Copy | Download

@article{10.11648/j.jeece.20240901.14,
  author = {Ali Ramadan Ali and Mahamat Kher Nediguina and Adoum Kriga and Marinette Jeutho Gouajio and Adoum Danao Adile and Fabien Kenmogne and Abakar Mahamat Tahir},
  title = {Mathematical Prediction of Electrical Solar Energy Based on Solar Data for Two Main Cities of Chad: Mongo in the Centre and Pala in the South of Chad},
  journal = {Journal of Energy, Environmental & Chemical Engineering},
  volume = {9},
  number = {1},
  pages = {33-45},
  doi = {10.11648/j.jeece.20240901.14},
  url = {https://doi.org/10.11648/j.jeece.20240901.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jeece.20240901.14},
  abstract = {The comparative study of the solar powers between two main cities of Chad is performed in the present work, the city of Mongo in the Centre and that of Pala in the South, with an aim of knowing which one of the two cities is more adequate for an installation of the solar power station, taking into account the regional climatic and environmental conditions of both cities. To do this, the graphical statistical analysis of long-term solar irradiance data and temperature is performed. The data used is that of the decade (2010-2020), based on solar radiation data handed by the National Aeronautics and Space Administration (NASA) and Photovoltaic Geographical Information System (PGIS) for Mongo in the centre and Pala in the south of Chad. The shape of the mean monthly irradiation has been plotted and has been approximated using the sinusoidal function through the mean square analysis. The temperature data has been also obtained by the same process and plotted versus irradiance in order to find the adequate mathematical relationship between them. For the statistical analysis, the maximum entropy principle has been used. As results, it is found that the maximum irradiance is obtained in March, which are 226.26kWh/m2 for Pala and 219.355kWh/m2 for Mongo, while the minimum irradiances are obtained in August, which are 151.67kWh/m2 for Pala and 158.9kWh/m2 for Mongo. The temperature data is also obtained and the mean monthly data plotted, showing that apart for the months of March and April, the the shapes of irradiation and temperatures are similar for both sites. Then it is found that the frequency and probability density distributions reach their maximum at the same dates.
},
 year = {2024}
}

Copy | Download

TY  - JOUR
T1  - Mathematical Prediction of Electrical Solar Energy Based on Solar Data for Two Main Cities of Chad: Mongo in the Centre and Pala in the South of Chad
AU  - Ali Ramadan Ali
AU  - Mahamat Kher Nediguina
AU  - Adoum Kriga
AU  - Marinette Jeutho Gouajio
AU  - Adoum Danao Adile
AU  - Fabien Kenmogne
AU  - Abakar Mahamat Tahir
Y1  - 2024/03/13
PY  - 2024
N1  - https://doi.org/10.11648/j.jeece.20240901.14
DO  - 10.11648/j.jeece.20240901.14
T2  - Journal of Energy, Environmental & Chemical Engineering
JF  - Journal of Energy, Environmental & Chemical Engineering
JO  - Journal of Energy, Environmental & Chemical Engineering
SP  - 33
EP  - 45
PB  - Science Publishing Group
SN  - 2637-434X
UR  - https://doi.org/10.11648/j.jeece.20240901.14
AB  - The comparative study of the solar powers between two main cities of Chad is performed in the present work, the city of Mongo in the Centre and that of Pala in the South, with an aim of knowing which one of the two cities is more adequate for an installation of the solar power station, taking into account the regional climatic and environmental conditions of both cities. To do this, the graphical statistical analysis of long-term solar irradiance data and temperature is performed. The data used is that of the decade (2010-2020), based on solar radiation data handed by the National Aeronautics and Space Administration (NASA) and Photovoltaic Geographical Information System (PGIS) for Mongo in the centre and Pala in the south of Chad. The shape of the mean monthly irradiation has been plotted and has been approximated using the sinusoidal function through the mean square analysis. The temperature data has been also obtained by the same process and plotted versus irradiance in order to find the adequate mathematical relationship between them. For the statistical analysis, the maximum entropy principle has been used. As results, it is found that the maximum irradiance is obtained in March, which are 226.26kWh/m2 for Pala and 219.355kWh/m2 for Mongo, while the minimum irradiances are obtained in August, which are 151.67kWh/m2 for Pala and 158.9kWh/m2 for Mongo. The temperature data is also obtained and the mean monthly data plotted, showing that apart for the months of March and April, the the shapes of irradiation and temperatures are similar for both sites. Then it is found that the frequency and probability density distributions reach their maximum at the same dates.

VL  - 9
IS  - 1
ER  -

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