Modeling of the Solar Potential of Lomé, Atakpamé and Mango from Weather Data in TOGO

Komi Apélété Amou; Koffi Sagna; Yendoubé Lare; Kossi Napo

doi:doi:10.11648/j.sjee.20170503.11

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Modeling of the Solar Potential of Lomé, Atakpamé and Mango from Weather Data in TOGO

Komi Apélété Amou, Koffi Sagna, Yendoubé Lare, Kossi Napo

Published in Science Journal of Energy Engineering (Volume 5, Issue 3)

Received: 30 June 2017 Accepted: 13 July 2017 Published: 19 October 2017

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Abstract

In this paper, we investigate the solar potential of three different cities in TOGO (Lomé, Atakpamé and Mango) in order to determine the empirical relationships allowing us to calculate the monthly global sunshine from the relative humidity RH, the mean temperature T, and monthly average values of the non-atmospheric sunlight H0 according to appropriate models. The models that have been chosen are those for which the availability of data necessary for their validation poses no difficulty. On the basis of the Mean Absolute Errors (MAE), the Mean Bias Error (MBE) and the Root Mean Square Error (RMSE) we were able to identify for each city the appropriate model. The advantage of this work is to present, through the determination of the MAE, MBE and RMSE parameters, the importance of the appropriate model in order to determine the photovoltaic potential estimation of a city.

Published in	Science Journal of Energy Engineering (Volume 5, Issue 3)
DOI	10.11648/j.sjee.20170503.11
Page(s)	58-62
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), 2017. Published by Science Publishing Group

Keywords

Solar Potential, Models, Mean Absolute Error, Mean Bias Error, Root Mean Square Error

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APA Style

Komi Apélété Amou, Koffi Sagna, Yendoubé Lare, Kossi Napo. (2017). Modeling of the Solar Potential of Lomé, Atakpamé and Mango from Weather Data in TOGO. Science Journal of Energy Engineering, 5(3), 58-62. https://doi.org/10.11648/j.sjee.20170503.11

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ACS Style

Komi Apélété Amou; Koffi Sagna; Yendoubé Lare; Kossi Napo. Modeling of the Solar Potential of Lomé, Atakpamé and Mango from Weather Data in TOGO. Sci. J. Energy Eng. 2017, 5(3), 58-62. doi: 10.11648/j.sjee.20170503.11

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AMA Style

Komi Apélété Amou, Koffi Sagna, Yendoubé Lare, Kossi Napo. Modeling of the Solar Potential of Lomé, Atakpamé and Mango from Weather Data in TOGO. Sci J Energy Eng. 2017;5(3):58-62. doi: 10.11648/j.sjee.20170503.11

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@article{10.11648/j.sjee.20170503.11,
  author = {Komi Apélété Amou and Koffi Sagna and Yendoubé Lare and Kossi Napo},
  title = {Modeling of the Solar Potential of Lomé, Atakpamé and Mango from Weather Data in TOGO},
  journal = {Science Journal of Energy Engineering},
  volume = {5},
  number = {3},
  pages = {58-62},
  doi = {10.11648/j.sjee.20170503.11},
  url = {https://doi.org/10.11648/j.sjee.20170503.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjee.20170503.11},
  abstract = {In this paper, we investigate the solar potential of three different cities in TOGO (Lomé, Atakpamé and Mango) in order to determine the empirical relationships allowing us to calculate the monthly global sunshine from the relative humidity RH, the mean temperature T, and monthly average values of the non-atmospheric sunlight H0 according to appropriate models. The models that have been chosen are those for which the availability of data necessary for their validation poses no difficulty. On the basis of the Mean Absolute Errors (MAE), the Mean Bias Error (MBE) and the Root Mean Square Error (RMSE) we were able to identify for each city the appropriate model. The advantage of this work is to present, through the determination of the MAE, MBE and RMSE parameters, the importance of the appropriate model in order to determine the photovoltaic potential estimation of a city.},
 year = {2017}
}

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TY  - JOUR
T1  - Modeling of the Solar Potential of Lomé, Atakpamé and Mango from Weather Data in TOGO
AU  - Komi Apélété Amou
AU  - Koffi Sagna
AU  - Yendoubé Lare
AU  - Kossi Napo
Y1  - 2017/10/19
PY  - 2017
N1  - https://doi.org/10.11648/j.sjee.20170503.11
DO  - 10.11648/j.sjee.20170503.11
T2  - Science Journal of Energy Engineering
JF  - Science Journal of Energy Engineering
JO  - Science Journal of Energy Engineering
SP  - 58
EP  - 62
PB  - Science Publishing Group
SN  - 2376-8126
UR  - https://doi.org/10.11648/j.sjee.20170503.11
AB  - In this paper, we investigate the solar potential of three different cities in TOGO (Lomé, Atakpamé and Mango) in order to determine the empirical relationships allowing us to calculate the monthly global sunshine from the relative humidity RH, the mean temperature T, and monthly average values of the non-atmospheric sunlight H0 according to appropriate models. The models that have been chosen are those for which the availability of data necessary for their validation poses no difficulty. On the basis of the Mean Absolute Errors (MAE), the Mean Bias Error (MBE) and the Root Mean Square Error (RMSE) we were able to identify for each city the appropriate model. The advantage of this work is to present, through the determination of the MAE, MBE and RMSE parameters, the importance of the appropriate model in order to determine the photovoltaic potential estimation of a city.
VL  - 5
IS  - 3
ER  -

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Author Information

Komi Apélété Amou

Solar Energy Laboratory, Department of Physics, Faculty of Sciences, University of Lomé, Lomé, Togo
Koffi Sagna

Solar Energy Laboratory, Department of Physics, Faculty of Sciences, University of Lomé, Lomé, Togo
Yendoubé Lare

Solar Energy Laboratory, Department of Physics, Faculty of Sciences, University of Lomé, Lomé, Togo
Kossi Napo

Solar Energy Laboratory, Department of Physics, Faculty of Sciences, University of Lomé, Lomé, Togo

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Plain Text BibTeX RIS

APA Style

Komi Apélété Amou, Koffi Sagna, Yendoubé Lare, Kossi Napo. (2017). Modeling of the Solar Potential of Lomé, Atakpamé and Mango from Weather Data in TOGO. Science Journal of Energy Engineering, 5(3), 58-62. https://doi.org/10.11648/j.sjee.20170503.11

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ACS Style

Komi Apélété Amou; Koffi Sagna; Yendoubé Lare; Kossi Napo. Modeling of the Solar Potential of Lomé, Atakpamé and Mango from Weather Data in TOGO. Sci. J. Energy Eng. 2017, 5(3), 58-62. doi: 10.11648/j.sjee.20170503.11

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AMA Style

Komi Apélété Amou, Koffi Sagna, Yendoubé Lare, Kossi Napo. Modeling of the Solar Potential of Lomé, Atakpamé and Mango from Weather Data in TOGO. Sci J Energy Eng. 2017;5(3):58-62. doi: 10.11648/j.sjee.20170503.11

Copy | Download

@article{10.11648/j.sjee.20170503.11,
  author = {Komi Apélété Amou and Koffi Sagna and Yendoubé Lare and Kossi Napo},
  title = {Modeling of the Solar Potential of Lomé, Atakpamé and Mango from Weather Data in TOGO},
  journal = {Science Journal of Energy Engineering},
  volume = {5},
  number = {3},
  pages = {58-62},
  doi = {10.11648/j.sjee.20170503.11},
  url = {https://doi.org/10.11648/j.sjee.20170503.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjee.20170503.11},
  abstract = {In this paper, we investigate the solar potential of three different cities in TOGO (Lomé, Atakpamé and Mango) in order to determine the empirical relationships allowing us to calculate the monthly global sunshine from the relative humidity RH, the mean temperature T, and monthly average values of the non-atmospheric sunlight H0 according to appropriate models. The models that have been chosen are those for which the availability of data necessary for their validation poses no difficulty. On the basis of the Mean Absolute Errors (MAE), the Mean Bias Error (MBE) and the Root Mean Square Error (RMSE) we were able to identify for each city the appropriate model. The advantage of this work is to present, through the determination of the MAE, MBE and RMSE parameters, the importance of the appropriate model in order to determine the photovoltaic potential estimation of a city.},
 year = {2017}
}

Copy | Download

TY  - JOUR
T1  - Modeling of the Solar Potential of Lomé, Atakpamé and Mango from Weather Data in TOGO
AU  - Komi Apélété Amou
AU  - Koffi Sagna
AU  - Yendoubé Lare
AU  - Kossi Napo
Y1  - 2017/10/19
PY  - 2017
N1  - https://doi.org/10.11648/j.sjee.20170503.11
DO  - 10.11648/j.sjee.20170503.11
T2  - Science Journal of Energy Engineering
JF  - Science Journal of Energy Engineering
JO  - Science Journal of Energy Engineering
SP  - 58
EP  - 62
PB  - Science Publishing Group
SN  - 2376-8126
UR  - https://doi.org/10.11648/j.sjee.20170503.11
AB  - In this paper, we investigate the solar potential of three different cities in TOGO (Lomé, Atakpamé and Mango) in order to determine the empirical relationships allowing us to calculate the monthly global sunshine from the relative humidity RH, the mean temperature T, and monthly average values of the non-atmospheric sunlight H0 according to appropriate models. The models that have been chosen are those for which the availability of data necessary for their validation poses no difficulty. On the basis of the Mean Absolute Errors (MAE), the Mean Bias Error (MBE) and the Root Mean Square Error (RMSE) we were able to identify for each city the appropriate model. The advantage of this work is to present, through the determination of the MAE, MBE and RMSE parameters, the importance of the appropriate model in order to determine the photovoltaic potential estimation of a city.
VL  - 5
IS  - 3
ER  -

Copy | Download