Comparative Analysis of the Solar PV Power Plant Efficiency and Output Power at Navrongo in Ghana

Morrison Amenyo Vehe; Joseph Cudjoe Attachie; Christian Kwaku Amuzuvi

doi:doi:10.11648/j.jeee.20221003.15

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Comparative Analysis of the Solar PV Power Plant Efficiency and Output Power at Navrongo in Ghana

Morrison Amenyo Vehe, Joseph Cudjoe Attachie, Christian Kwaku Amuzuvi

Published in Journal of Electrical and Electronic Engineering (Volume 10, Issue 3)

Received: 20 May 2022 Accepted: 8 June 2022 Published: 20 June 2022

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Abstract

In this paper, a comparative analysis of a 2.5 MW grid-connected solar photovoltaic (PV) power plant in Navrongo, Ghana is presented. The measured data from the plant was compared with that of the modelled and simulated results. The modelling was carried out using a genetic algorithm in MATLAB/Simulink. The comparison was based on power and solar irradiation as well as the efficiency of the plant under study. The results showed that, the model yielded increased output power compared with the power output determined from the measured data. This increase in power was observed in all three months; March, July and November 2014. PV module maximum power was more pronounced at a Fill Factor (FF) ranging from 0.5 to 0.8 at higher solar irradiation. Moreover, the efficiency of the modelled PV modules recorded a significant improvement in performance over that of the measured efficiencies for the same period. The monthly daily average measured efficiency value for March was 9.9% compared to 11.4% in the model, indicating a 1.5% increase. In July, however, efficiency increased by 1.0% by comparing the measured and modelled values of 9.6% and 10.6% respectively. November realised a 2.1% rise with a measured value of 11.2% against 13.3% being the modelled value. Conclusively, the study verifies the model’s accuracy to a large extent.

Published in	Journal of Electrical and Electronic Engineering (Volume 10, Issue 3)
DOI	10.11648/j.jeee.20221003.15
Page(s)	104-113
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

Photovoltaic, Comparative Analysis, Genetic Algorithms, Output Power, Efficiency

References

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[6]	Acheampong, J. (2014), “US$350 Million Solar Project for Ghana”, www.graphic.com.gh/business/business-news/18704 -us-350-million-solar-project-for-ghana.html#sthash.EGPk7UVR.dpuf, Accessed: April 13, 2016.
[7]	Fetyan, K. M. and Hady, R. (2021), “Performance Evaluation of on-grid PV Systems in Egypt”, Water Science, 35: 1, 63-70, DOI: 10.1080/23570008.2021.1905347.
[8]	Esmaeilion, F., Ahmadi, A., Esmaeilion, A. and Aliehyaei, M. (2021), “The Performance Analysis and Monitoring of Grid-Connected Photovoltaic Power Plant”, Current Chinese Computer Science, Volume 1, Issue 1, doi: 10.2174/2665997201999200511083228.
[9]	Kymakis, E., Kalykakis, S. and Papazoglou, T. M. (2009), “Performance Analysis of a Grid-Connected Photovoltaic Park on the Island of Crete”, Energy Conversion and Management, Vol. 50, No. 3, pp. 433-438.
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[13]	Ishaque, K., Salam, Z. and Syafaruddin (2011), “A Comprehensive Matlab Simulink PV System Simulator with Partial Shading Capability Based on Two-Diode Model”, Solar Energy, Vol. 85, pp. 2217-2227.
[14]	Villalva, M. G., Gazoli, J. R. and Filho, E. R. (2009), “Comprehensive Approach to Modeling and Simulation of Photovoltaic Arrays”, IEEE Transactions on Power Electronics, Vol. 24, No. 5, pp. 1198-1208.
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APA Style

Morrison Amenyo Vehe, Joseph Cudjoe Attachie, Christian Kwaku Amuzuvi. (2022). Comparative Analysis of the Solar PV Power Plant Efficiency and Output Power at Navrongo in Ghana. Journal of Electrical and Electronic Engineering, 10(3), 104-113. https://doi.org/10.11648/j.jeee.20221003.15

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ACS Style

Morrison Amenyo Vehe; Joseph Cudjoe Attachie; Christian Kwaku Amuzuvi. Comparative Analysis of the Solar PV Power Plant Efficiency and Output Power at Navrongo in Ghana. J. Electr. Electron. Eng. 2022, 10(3), 104-113. doi: 10.11648/j.jeee.20221003.15

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AMA Style

Morrison Amenyo Vehe, Joseph Cudjoe Attachie, Christian Kwaku Amuzuvi. Comparative Analysis of the Solar PV Power Plant Efficiency and Output Power at Navrongo in Ghana. J Electr Electron Eng. 2022;10(3):104-113. doi: 10.11648/j.jeee.20221003.15

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@article{10.11648/j.jeee.20221003.15,
  author = {Morrison Amenyo Vehe and Joseph Cudjoe Attachie and Christian Kwaku Amuzuvi},
  title = {Comparative Analysis of the Solar PV Power Plant Efficiency and Output Power at Navrongo in Ghana},
  journal = {Journal of Electrical and Electronic Engineering},
  volume = {10},
  number = {3},
  pages = {104-113},
  doi = {10.11648/j.jeee.20221003.15},
  url = {https://doi.org/10.11648/j.jeee.20221003.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jeee.20221003.15},
  abstract = {In this paper, a comparative analysis of a 2.5 MW grid-connected solar photovoltaic (PV) power plant in Navrongo, Ghana is presented. The measured data from the plant was compared with that of the modelled and simulated results. The modelling was carried out using a genetic algorithm in MATLAB/Simulink. The comparison was based on power and solar irradiation as well as the efficiency of the plant under study. The results showed that, the model yielded increased output power compared with the power output determined from the measured data. This increase in power was observed in all three months; March, July and November 2014. PV module maximum power was more pronounced at a Fill Factor (FF) ranging from 0.5 to 0.8 at higher solar irradiation. Moreover, the efficiency of the modelled PV modules recorded a significant improvement in performance over that of the measured efficiencies for the same period. The monthly daily average measured efficiency value for March was 9.9% compared to 11.4% in the model, indicating a 1.5% increase. In July, however, efficiency increased by 1.0% by comparing the measured and modelled values of 9.6% and 10.6% respectively. November realised a 2.1% rise with a measured value of 11.2% against 13.3% being the modelled value. Conclusively, the study verifies the model’s accuracy to a large extent.},
 year = {2022}
}

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TY - JOUR
T1 - Comparative Analysis of the Solar PV Power Plant Efficiency and Output Power at Navrongo in Ghana
AU - Morrison Amenyo Vehe
AU - Joseph Cudjoe Attachie
AU - Christian Kwaku Amuzuvi
Y1 - 2022/06/20
PY - 2022
N1 - https://doi.org/10.11648/j.jeee.20221003.15
DO - 10.11648/j.jeee.20221003.15
T2 - Journal of Electrical and Electronic Engineering
JF - Journal of Electrical and Electronic Engineering
JO - Journal of Electrical and Electronic Engineering
SP - 104
EP - 113
PB - Science Publishing Group
SN - 2329-1605
UR - https://doi.org/10.11648/j.jeee.20221003.15
AB - In this paper, a comparative analysis of a 2.5 MW grid-connected solar photovoltaic (PV) power plant in Navrongo, Ghana is presented. The measured data from the plant was compared with that of the modelled and simulated results. The modelling was carried out using a genetic algorithm in MATLAB/Simulink. The comparison was based on power and solar irradiation as well as the efficiency of the plant under study. The results showed that, the model yielded increased output power compared with the power output determined from the measured data. This increase in power was observed in all three months; March, July and November 2014. PV module maximum power was more pronounced at a Fill Factor (FF) ranging from 0.5 to 0.8 at higher solar irradiation. Moreover, the efficiency of the modelled PV modules recorded a significant improvement in performance over that of the measured efficiencies for the same period. The monthly daily average measured efficiency value for March was 9.9% compared to 11.4% in the model, indicating a 1.5% increase. In July, however, efficiency increased by 1.0% by comparing the measured and modelled values of 9.6% and 10.6% respectively. November realised a 2.1% rise with a measured value of 11.2% against 13.3% being the modelled value. Conclusively, the study verifies the model’s accuracy to a large extent.
VL - 10
IS - 3
ER -

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Author Information

Morrison Amenyo Vehe

Department of Electrical and Electronic Engineering, Regional Maritime University, Accra, Ghana
Joseph Cudjoe Attachie

Department of Electrical and Electronic Engineering, University of Mines and Technology, Tarkwa, Ghana
Christian Kwaku Amuzuvi

Department of Renewable Energy Engineering, University of Mines and Technology, Tarkwa, Ghana

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APA Style

Morrison Amenyo Vehe, Joseph Cudjoe Attachie, Christian Kwaku Amuzuvi. (2022). Comparative Analysis of the Solar PV Power Plant Efficiency and Output Power at Navrongo in Ghana. Journal of Electrical and Electronic Engineering, 10(3), 104-113. https://doi.org/10.11648/j.jeee.20221003.15

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ACS Style

Morrison Amenyo Vehe; Joseph Cudjoe Attachie; Christian Kwaku Amuzuvi. Comparative Analysis of the Solar PV Power Plant Efficiency and Output Power at Navrongo in Ghana. J. Electr. Electron. Eng. 2022, 10(3), 104-113. doi: 10.11648/j.jeee.20221003.15

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AMA Style

Morrison Amenyo Vehe, Joseph Cudjoe Attachie, Christian Kwaku Amuzuvi. Comparative Analysis of the Solar PV Power Plant Efficiency and Output Power at Navrongo in Ghana. J Electr Electron Eng. 2022;10(3):104-113. doi: 10.11648/j.jeee.20221003.15

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@article{10.11648/j.jeee.20221003.15,
  author = {Morrison Amenyo Vehe and Joseph Cudjoe Attachie and Christian Kwaku Amuzuvi},
  title = {Comparative Analysis of the Solar PV Power Plant Efficiency and Output Power at Navrongo in Ghana},
  journal = {Journal of Electrical and Electronic Engineering},
  volume = {10},
  number = {3},
  pages = {104-113},
  doi = {10.11648/j.jeee.20221003.15},
  url = {https://doi.org/10.11648/j.jeee.20221003.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jeee.20221003.15},
  abstract = {In this paper, a comparative analysis of a 2.5 MW grid-connected solar photovoltaic (PV) power plant in Navrongo, Ghana is presented. The measured data from the plant was compared with that of the modelled and simulated results. The modelling was carried out using a genetic algorithm in MATLAB/Simulink. The comparison was based on power and solar irradiation as well as the efficiency of the plant under study. The results showed that, the model yielded increased output power compared with the power output determined from the measured data. This increase in power was observed in all three months; March, July and November 2014. PV module maximum power was more pronounced at a Fill Factor (FF) ranging from 0.5 to 0.8 at higher solar irradiation. Moreover, the efficiency of the modelled PV modules recorded a significant improvement in performance over that of the measured efficiencies for the same period. The monthly daily average measured efficiency value for March was 9.9% compared to 11.4% in the model, indicating a 1.5% increase. In July, however, efficiency increased by 1.0% by comparing the measured and modelled values of 9.6% and 10.6% respectively. November realised a 2.1% rise with a measured value of 11.2% against 13.3% being the modelled value. Conclusively, the study verifies the model’s accuracy to a large extent.},
 year = {2022}
}

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