Characterization of Parameters and Risk Indicators Related to Climate Change for a High-Power Photovoltaic Field Installed on ABECHE Site in the Republic of Chad:: Science Publishing Group

Characterization of Parameters and Risk Indicators Related to Climate Change for a High-Power Photovoltaic Field Installed on ABECHE Site in the Republic of Chad

Idriss Atouniss Yakoub¹, Macaire Agbomahéna^1,2, Wilfrid Coffi Adihou³, Irénée Vianou Madogni¹, Basile Bruno Kounouhéwa¹

Corresponding Author: Irénée Vianou Madogni

¹Radiation Physics Laboratory (LPR), FAST-UAC, Cotonou, Benin

²Laboratory of Applied Energetic and Mechanics (LEMA), Polytechnic School of Abomey Calavi, University of Abomey Calavi, Abomey Calavi, Benin

³Laboratory of Engineering Sciences and Applied Mathematics (LSIMA) of the National University of Sciences, Technology Engineering and Mathematics, Abomey, Benin

International Journal of Energy and Power Engineering, Volume 12, Issue 5, September 2023

Pages: 67-74

Received: Aug. 14, 2023

Accepted: Sep. 11, 2023

Published: Nov. 11, 2023

DOI: 10.11648/j.ijepe.20231205.12

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Abstract

Our objective is to carry out a depth study of the site of 5 MW photovoltaic solar power plant installed in Mabrouka in the ABECHE town, in order to better identify potential risks related to climate change, and elaborate strategies for a better choice of (PV)-modules best adapted to the Chadian climate. We characterized in this study the meteorological parameters (temperature, sunshine, wind speed and relative humidity). Important parameters allowing evaluating the energy potential of the ABECHE site. Global warming and its consequences on the production of photovoltaic solar energy have been listed. Impact of the parameters and risk indicators susceptible to reducing the (PV)-modules performance has been discussed. Finally, the defects and anomalies detected in the (PV)-modules due to climatic factors have been highlighted. Ours investigations showed that: (i) the temperatures are sufficiently high throughout the year, so that it is very difficult to distinguish the seasons. (ii) The parameters and risk indicators would cause a failure and performance reduction of the (PV)-cells/modules on the site.

Keywords

(PV)-Module Technology, Meteorological Parameters, Energy Potential, Defects and Anomalies, Parameters and Risk Indicators

To cite this article

Idriss Atouniss Yakoub, Macaire Agbomahéna, Wilfrid Coffi Adihou, Irénée Vianou Madogni, Basile Bruno Kounouhéwa. (2023). Characterization of Parameters and Risk Indicators Related to Climate Change for a High-Power Photovoltaic Field Installed on ABECHE Site in the Republic of Chad. International Journal of Energy and Power Engineering, 12(5), 67-74. https://doi.org/10.11648/j.ijepe.20231205.12

Copyright © 2023 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

References

1.	Bashir M A, Ali H M, Ali M, Siddiqui A M. An experimental investigation of performance of photovoltaic modules in Pakistan. Thermal Science. (2013) 134-134.
2.	Sharma V, Kumar A, Sastry O S, Chandel S S. Performance assessment of different solar photovoltaic technologies under similar outdoor conditions. Energy 58 (2013) 511-518.
3.	Carr A, Pryor T. A comparison of the performance of different PV module types in temperate climates. Solar Energy 76 (2004) 285-294.
4.	Cañete C, Carretero J, Sidrach-de-Cardona M. Energy performance of different photovoltaic module technologies under outdoor conditions. Energy 65 (2014) 295-302.
5.	Akhmad K, Kitamura A, Yamamoto F, Okamoto H, Takakura H, Hamakawa Y. Outdoor performance of amorphous silicon and polycrystalline silicon PV modules. Solar Energy Materials and Solar Cells 46 (1997) 209-218.
6.	Poissant Y. Field Assessment of Novel (PV) Module Technologies in Canada, in Proc. 4^th Canadian Solar Buildings Conference, June 2009.
7.	Nishioka K, Hatayama T, Uraoka Y, Fuyuki T, Hagihara R, Watanabe M. Field-test analysis of PV system output characteristics focusing on module temperature. Solar Energy Materials and Solar Cells. 75 (2003) 665-671.
8.	Minemoto T et al., Effect of spectral irradiance distribution on the outdoor performance of amorphous Si//thin-film crystalline Si stacked photovoltaic modules. Solar Energy Materials and Solar Cells. 91 (2007) 120-122
9.	Aste N, Del Pero C, Leonforte F. PV technologies performance comparison in temperate climates. Solar Energy. 109 (2014) 1-10.
10.	INSEED, RGPH2, 2009 CEDRE. BP: 1822 N’Djamena-Tchad
11.	Aguilar E, Aziz Barry A, Brunet M, Ekang L, Fernandes A, Massoukina M, Zhang X. Changes in temperature and precipitation extremes in western central Africa, Guinea Conakry, and Zimbabwe. Journal of Geophysical Research: Atmospheres (2009) 1955-2006.
12.	Abdoulaye B, Clobite B B, Bell Jean P, Issak A, Robert M, Baohoutou L. Évolution des indices des extrêmes climatiques en République du Tchad de 1960 à 2008. Atmosphère-Océan 55 (1) (2017) 42-56.
13.	Bassam A, Tzuc O M, Soberanis M E, Ricalde L J, Cruz B. Temperature Estimation for Photovoltaic Array Using an Adaptive Neuro Fuzzy Inference System. Sustainability (2017) 1-16.
14.	Ian M, Kantareddy S N, Tonio Buonassisi, Ian Peters M. Technology and market perspective for indoor photovoltaic cells. Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA. Octobre 2019.
15.	Quansah D A, Adaramola M S. Assessment of early degradation and performance loss in five co-located solar photovoltaic module technologies installed in Ghana using performance ratio time-series regression. Renewable Energy 131 (2019) 900-910.
16.	Başoğlu M E, Kazdaloğlu A, Erfidan T, Bilgin M Z, Çakir B. Performance analyzes of different photovoltaic module technologies underİzmit, Kocaeli climatic conditions. Renewable and Sustainable Energy and Reviews 52 (2015) 357-365.
17.	Rosaura C M, Paul Andrés M C, Javier M R H, Francisco J R M, Gabriel G P. (PV)-Energy Performance in a Sustainable Campus. Electronics 9 (2020) 1874.
18.	Abiola O A, Hangan H, Siddiqui K. Experimental investigation of wind effects on a standalone photovoltaic (PV) module. Renewable Energy 78 (2015) 657-665.
19.	Mekhilef S, Saidur R, Kamalisarvestani M. Effect of dust, humidity and air velocity on efficiency of photovoltaic cells. Renewable and Sustainable Energy 16 (2012) 2920-2925.
20.	Cheng X, Chen F, Yu B, Zhang X. The method for photovoltaic module temperature ultra-short-term forecasting based on RBF neural network. In Proceedings of the China International Conference on Electricity Distribution (CICED), Xi’an, China, August (2016) 10-13.
21.	Long B. Détection et localisation de défauts dans un système photovoltaïque. Thèse de Doctorat, Université de GRENOBLE 2011.
22.	Rajput P, Sastry O S, Tiwari G N. Effect of irradiance, temperature exposure and an Arrhenius approach to estimating weathering acceleration factor of Glass, EVA and Tedlar in a composite climate of India. Solar Energy 144 (2017) 267-277.
23.	Bana S, Saini R P. Experimental investigation on power output of different photovoltaic array configurations under uniform and partial shading scenarios. Energy 127 (2017) 438-453.
24.	Ahmad R, Murtaza A F, Ahmed S H, Tabrez S U, Olalekan S. An analytical approach to study partial shading effects on (PV) array supported by literature. Renewable and Sustainable Energy 74 (2017) 721-732.
25.	Kafui A D, István S, István F. Efficiency comparison of Different photovoltaic modules. Acta Technologica Agriculturae 1 (2019) 5-11.