A Rainy Month Performance Evaluation of Photovoltaic Module and Performance Prediction of the PV Water Pumping Systems Under Soudano Sahelian Climate

Kodji Deli; Noel Djongyang; Donatien Njomo; Dieudonné Kidmo

doi:doi:10.11648/j.ijecec.20180401.17

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A Rainy Month Performance Evaluation of Photovoltaic Module and Performance Prediction of the PV Water Pumping Systems Under Soudano Sahelian Climate

Kodji Deli, Noel Djongyang, Donatien Njomo, Dieudonné Kidmo

Published in International Journal of Electrical Components and Energy Conversion (Volume 4, Issue 1)

Received: 21 May 2018 Accepted: 6 June 2018 Published: 1 August 2018

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Abstract

The purpose of this paper is to evaluate the energy yield of the photovoltaic module during the worst case conditions in Soudano Sahelian climate in order to predict real time worst performance of a PV water pumping systems in two stations in soudano-sahelian zone of Cameroon. a simple model has been developed with experimental data of electrical energy delivered by PV module for estimating the performance of a photovoltaic (PV) water pumping systems, this work is made possible using 5-min intervals of measured performance data (ambient temperature, current, voltage) for the month of August using the optimum fixed tilt angle of the PV array. The method is validated by predicting the performance of two PV pumping systems installed in an isolated site in Agola and Dorigué. The daily and the monthly flow rate of the systems predicted by the method are evaluated.

Published in	International Journal of Electrical Components and Energy Conversion (Volume 4, Issue 1)
DOI	10.11648/j.ijecec.20180401.17
Page(s)	61-71
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), 2018. Published by Science Publishing Group

Keywords

PV Water Pumping Systems, Performance, Worst Month, Soudano Sahelian Climate Conditions

References

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APA Style

Kodji Deli, Noel Djongyang, Donatien Njomo, Dieudonné Kidmo. (2018). A Rainy Month Performance Evaluation of Photovoltaic Module and Performance Prediction of the PV Water Pumping Systems Under Soudano Sahelian Climate. International Journal of Electrical Components and Energy Conversion, 4(1), 61-71. https://doi.org/10.11648/j.ijecec.20180401.17

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ACS Style

Kodji Deli; Noel Djongyang; Donatien Njomo; Dieudonné Kidmo. A Rainy Month Performance Evaluation of Photovoltaic Module and Performance Prediction of the PV Water Pumping Systems Under Soudano Sahelian Climate. Int. J. Electr. Compon. Energy Convers. 2018, 4(1), 61-71. doi: 10.11648/j.ijecec.20180401.17

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AMA Style

Kodji Deli, Noel Djongyang, Donatien Njomo, Dieudonné Kidmo. A Rainy Month Performance Evaluation of Photovoltaic Module and Performance Prediction of the PV Water Pumping Systems Under Soudano Sahelian Climate. Int J Electr Compon Energy Convers. 2018;4(1):61-71. doi: 10.11648/j.ijecec.20180401.17

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@article{10.11648/j.ijecec.20180401.17,
  author = {Kodji Deli and Noel Djongyang and Donatien Njomo and Dieudonné Kidmo},
  title = {A Rainy Month Performance Evaluation of Photovoltaic Module and Performance Prediction of the PV Water Pumping Systems Under Soudano Sahelian Climate},
  journal = {International Journal of Electrical Components and Energy Conversion},
  volume = {4},
  number = {1},
  pages = {61-71},
  doi = {10.11648/j.ijecec.20180401.17},
  url = {https://doi.org/10.11648/j.ijecec.20180401.17},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijecec.20180401.17},
  abstract = {The purpose of this paper is to evaluate the energy yield of the photovoltaic module during the worst case conditions in Soudano Sahelian climate in order to predict real time worst performance of a PV water pumping systems in two stations in soudano-sahelian zone of Cameroon. a simple model has been developed with experimental data of electrical energy delivered by PV module for estimating the performance of a photovoltaic (PV) water pumping systems, this work is made possible using 5-min intervals of measured performance data (ambient temperature, current, voltage) for the month of August using the optimum fixed tilt angle of the PV array. The method is validated by predicting the performance of two PV pumping systems installed in an isolated site in Agola and Dorigué. The daily and the monthly flow rate of the systems predicted by the method are evaluated.},
 year = {2018}
}

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TY  - JOUR
T1  - A Rainy Month Performance Evaluation of Photovoltaic Module and Performance Prediction of the PV Water Pumping Systems Under Soudano Sahelian Climate
AU  - Kodji Deli
AU  - Noel Djongyang
AU  - Donatien Njomo
AU  - Dieudonné Kidmo
Y1  - 2018/08/01
PY  - 2018
N1  - https://doi.org/10.11648/j.ijecec.20180401.17
DO  - 10.11648/j.ijecec.20180401.17
T2  - International Journal of Electrical Components and Energy Conversion
JF  - International Journal of Electrical Components and Energy Conversion
JO  - International Journal of Electrical Components and Energy Conversion
SP  - 61
EP  - 71
PB  - Science Publishing Group
SN  - 2469-8059
UR  - https://doi.org/10.11648/j.ijecec.20180401.17
AB  - The purpose of this paper is to evaluate the energy yield of the photovoltaic module during the worst case conditions in Soudano Sahelian climate in order to predict real time worst performance of a PV water pumping systems in two stations in soudano-sahelian zone of Cameroon. a simple model has been developed with experimental data of electrical energy delivered by PV module for estimating the performance of a photovoltaic (PV) water pumping systems, this work is made possible using 5-min intervals of measured performance data (ambient temperature, current, voltage) for the month of August using the optimum fixed tilt angle of the PV array. The method is validated by predicting the performance of two PV pumping systems installed in an isolated site in Agola and Dorigué. The daily and the monthly flow rate of the systems predicted by the method are evaluated.
VL  - 4
IS  - 1
ER  -

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Author Information

Kodji Deli

Department of Renewable Energy, National Advanced Polytechnic School, University of Maroua, Maroua, Cameroon
Noel Djongyang

Department of Renewable Energy, National Advanced Polytechnic School, University of Maroua, Maroua, Cameroon
Donatien Njomo

Department of Physics, Faculty of Science, University of Yaoundé I, Yaoundé, Cameroon
Dieudonné Kidmo

Department of Renewable Energy, National Advanced Polytechnic School, University of Maroua, Maroua, Cameroon

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Plain Text BibTeX RIS

APA Style

Kodji Deli, Noel Djongyang, Donatien Njomo, Dieudonné Kidmo. (2018). A Rainy Month Performance Evaluation of Photovoltaic Module and Performance Prediction of the PV Water Pumping Systems Under Soudano Sahelian Climate. International Journal of Electrical Components and Energy Conversion, 4(1), 61-71. https://doi.org/10.11648/j.ijecec.20180401.17

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ACS Style

Kodji Deli; Noel Djongyang; Donatien Njomo; Dieudonné Kidmo. A Rainy Month Performance Evaluation of Photovoltaic Module and Performance Prediction of the PV Water Pumping Systems Under Soudano Sahelian Climate. Int. J. Electr. Compon. Energy Convers. 2018, 4(1), 61-71. doi: 10.11648/j.ijecec.20180401.17

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AMA Style

Kodji Deli, Noel Djongyang, Donatien Njomo, Dieudonné Kidmo. A Rainy Month Performance Evaluation of Photovoltaic Module and Performance Prediction of the PV Water Pumping Systems Under Soudano Sahelian Climate. Int J Electr Compon Energy Convers. 2018;4(1):61-71. doi: 10.11648/j.ijecec.20180401.17

Copy | Download

@article{10.11648/j.ijecec.20180401.17,
  author = {Kodji Deli and Noel Djongyang and Donatien Njomo and Dieudonné Kidmo},
  title = {A Rainy Month Performance Evaluation of Photovoltaic Module and Performance Prediction of the PV Water Pumping Systems Under Soudano Sahelian Climate},
  journal = {International Journal of Electrical Components and Energy Conversion},
  volume = {4},
  number = {1},
  pages = {61-71},
  doi = {10.11648/j.ijecec.20180401.17},
  url = {https://doi.org/10.11648/j.ijecec.20180401.17},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijecec.20180401.17},
  abstract = {The purpose of this paper is to evaluate the energy yield of the photovoltaic module during the worst case conditions in Soudano Sahelian climate in order to predict real time worst performance of a PV water pumping systems in two stations in soudano-sahelian zone of Cameroon. a simple model has been developed with experimental data of electrical energy delivered by PV module for estimating the performance of a photovoltaic (PV) water pumping systems, this work is made possible using 5-min intervals of measured performance data (ambient temperature, current, voltage) for the month of August using the optimum fixed tilt angle of the PV array. The method is validated by predicting the performance of two PV pumping systems installed in an isolated site in Agola and Dorigué. The daily and the monthly flow rate of the systems predicted by the method are evaluated.},
 year = {2018}
}

Copy | Download

TY  - JOUR
T1  - A Rainy Month Performance Evaluation of Photovoltaic Module and Performance Prediction of the PV Water Pumping Systems Under Soudano Sahelian Climate
AU  - Kodji Deli
AU  - Noel Djongyang
AU  - Donatien Njomo
AU  - Dieudonné Kidmo
Y1  - 2018/08/01
PY  - 2018
N1  - https://doi.org/10.11648/j.ijecec.20180401.17
DO  - 10.11648/j.ijecec.20180401.17
T2  - International Journal of Electrical Components and Energy Conversion
JF  - International Journal of Electrical Components and Energy Conversion
JO  - International Journal of Electrical Components and Energy Conversion
SP  - 61
EP  - 71
PB  - Science Publishing Group
SN  - 2469-8059
UR  - https://doi.org/10.11648/j.ijecec.20180401.17
AB  - The purpose of this paper is to evaluate the energy yield of the photovoltaic module during the worst case conditions in Soudano Sahelian climate in order to predict real time worst performance of a PV water pumping systems in two stations in soudano-sahelian zone of Cameroon. a simple model has been developed with experimental data of electrical energy delivered by PV module for estimating the performance of a photovoltaic (PV) water pumping systems, this work is made possible using 5-min intervals of measured performance data (ambient temperature, current, voltage) for the month of August using the optimum fixed tilt angle of the PV array. The method is validated by predicting the performance of two PV pumping systems installed in an isolated site in Agola and Dorigué. The daily and the monthly flow rate of the systems predicted by the method are evaluated.
VL  - 4
IS  - 1
ER  -

Copy | Download