Forthcoming

Assessment of Performance of 80W Monocrystalline Photovoltaic (PV) Module in Abuja FCT

Authors

DOI:

https://doi.org/10.64470/elene.2026.25

Keywords:

Solar PV module, STC, Outdoor condition, Maximum Power, Module Temperature

Abstract

Solar PV modules are rated by manufacturers under Standard Test Conditions (STCs), which often differ from real outdoor operating conditions. Therefore, evaluating field performance is essential for accurate module selection and power prediction. In this study, a one-year performance assessment of an 80 W solar PV module manufactured by NSENI Solar Energy Limited was conducted in Abuja-FCT, Nigeria, using real-time measurements and simulation. Key electrical parameters (Pmax, VMP, and IMP), solar radiation, and module temperature were continuously monitored using calibrated instruments. In parallel, empirically based PV models incorporating manufacturer datasheet values and local climatic data were used for simulation.
The results show significant deviations between STC ratings and outdoor performance. At certain periods, the module voltage and efficiency dropped below 12 V and 11%, compared to the rated 17.35 V and 18%. While VMP and efficiency decreased at high solar radiation, Pmax, IMP, and module temperature increased, with opposite trends observed under lower radiation levels. A strong agreement between measured and simulated maximum power outputs was obtained, with a correlation coefficient of 0.98 and an average error of about 5%. These findings confirm the reliability of the applied PV models and demonstrate that the developed testbed can be used as a practical PV module performance validation facility suitable for replication across Nigeria.

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References

Abdelkader, M. R., Al-Salaymeh, A., Al-Hamamre, Z., & Sharaf, F. (2010). A Comparative Analysis of the Performance of Monocrystalline and Multi-crystalline PV Cells in Semi-Arid Climate Conditions: The Case of Jordan. Jordan Journal of Mechanical and Industrial Engineering, 4(5), 543-552.

Abiola, K. A., Olanrewaju, L., M., & Nasiru, I. (2016). Spatio -Temporal Variation in Municipal Water Quality in Abuja, Nigeria. International Journal for Innovative Research in Multidisciplinary Field, 2(6), June – 2016.

Akubue, J. A., Ohakim, N., Safwan, I., Kasim, S., Abdulsalaam, A., Oji, C., Aliyu, U., Baffa, M., & Muhammed, B. (2025). Study of the Cultural Impact of Communal Living by the Indigenous Settlers in Rural Communities within Abuja City. International Journal of Advanced Natural Sciences and Engineering Researches, 9(1), 129-137.

Ani, V., A., Nzeako, A., N., & Obianuko, J. C. (2012). Energy Optimization at Data Centers in Two Different Locations

of Nigeria. International Journal of Energy Engineering, 2(4), 151-164. DOI: 10.5923/j.ijee.20120204.07.

Bahaidarah, H., Rehman, S., Subhan, A., Gandhidasan, P., & Baig, H. (2015). Performance Evaluation of a PV Module under Climatic Conditions of Dhahran, Saudi Arabia. Energy Exploration & Exploitation, 33(1), 909 - 929.

Buday, M. S. (2011). Measuring Irradiance, Temperature and Angle of Incidence Effects on Photovoltaic Modules in Auburn Hills, Michigan. an M.Sc. Dissertation Submitted to the School of Postgraduate Studies, University of Michigan, USA (unpublished).

Bücher, K. (1997). Site Dependence of the Energy Collection of PV Modules. Journal of Solar Energy Materials and Solar Cells, 47(1), 85-94.

Das, U. K., Tey, K., Idris, M. Y. I., & Mekhilef, S. (2019). Maximum Power Flow Management for Stand-alone PV Based Battery Charging System. In Proceedings of the 10th International Conference Power Electron, Busan, Republic of Korea, 27–30 May 2019.

FCTA (2008). Federal Capital Territory Administration - Facts. Original Available at the Federal Capital Territory Administration Archived on 23 December 2008. Retrieved 24 July 2018.

Geravandi, M., & Moradi CheshmehBeigi, H. (2022). The Problem of Resilient Stochastic Unit Commitment with Consideration of Existing Uncertainties Using the Rate of Change of Frequency. Journal of Renewable Energy and Environment, 9(4), 34-47.

IEA (2022). Solar PV Report. Accessed on 13th Sept., 2023, from https://www.iea.org/reports/solar-pv.

Iheanetu, K. J. (2022). Solar Photovoltaic Power Forecasting: A Review. Sustainability, 14(24), 17005.

Kim, J. P., Lim, H., Song, J. H., & Jeon, C. H. (2011). Numerical Analysis on the Thermal Characteristics of Photovoltaic Module with Ambient Temperature Variation. Solar Energy Materials and Solar Cells, 95(1), 404–407.

King, D. L., Boyson, W. E., & Kratochvil, J. A. (2004). Photovoltaic Array Performance Model. Sandia National Laboratories Photovoltaic Systems Department Publication (SAND2004 - 3535), MS0752 Albuquerque, NM 87185 Press, New York.

Kozak, T., Maranda, W., & Napieralski, A. (2009). Influence of Ambient Temperature on the Amount of Electric Energy Produced by Solar Modules. In the Proceeding of 16th International Conference "Mixed Design of Integrated Circuits and Systems", June 25-27, 2009, Ód, Poland.

Kurnik, J., Jankovec, M., Brecl, K., & Topic, M. (2011). Outdoor Testing of PV Module Temperature and Performance Under Different Mounting and Operational Conditions. Solar Energy Materials and Solar Cells, 95(1), 373–376.

Liomnis, O. L., Yoalbys, R., José, E. C., Roger, P. Y., Adrián, R. R., & Eliannet, V. E. (2022). Assessing Different Models to Estimate Photovoltaic Monocrystalline Modules Operating Temperature Using Weather Data. Ingeniería Energética, 43(3), 1815-5901.

Meral, M. E., & Dincer, F. (2011). A review of the factors affecting operation and efficiency of photovoltaic based electricity generation systems. Renewable and Sustainable Energy Reviews, 15(2011), 2176–2184.

Nduka, O. A., & Mohamed, E. F. (2018). Analysis of PV Modules Performance in Nigeria: A Guide for Suitable System Design and Module Specifications Selection. International Journal of Research in Engineering and Science, 6(7), 01-13.

Ohajianya, A. C. (2023) Simulation and Analysis of a Standalone PV Solar Power Plant for a Housing Estate in Abuja, Nigeria. International Journal of Renewable Energy Research-IJRER, 13(3), (2023).

Osagie-Bolaji, A. N., & Osadebamwen, K. O. (2025). Performance Analysis of Monocrystalline and Polycrystalline Photovoltaic (PV) Cells under Different Solar Irradiance Conditions. Global Journal of Engineering and Technology Advances, 24(03), 447-452.

Strzalka, A., Alam, N., Duminil, E., Coors, V., & Eicker, U. (2012). Large Scale Integration of Photovoltaics in Cities. Applied Energy, 93(1), 413-421.

Wahidullah, Z., Safiullah, S., & Sayed, A. Z. F. (2024). Energy Assessment & Comparative Study of Mono and Poly Solar PV Technologies Using Advanced PVsyst Software. Advanced Engineering Science, 00(00), 1–8.

Woyte, A., Thong, V., Belmans, R., & Nijs, J. (2006). Voltage Fluctuations on Distribution Level Introduced by Photovoltaic Systems. IEEE Trans. Energy Convers, 21(2006), 202–209.

Zhou Wei, A., Yang, A. H., & Fang, Z. (2007). A Novel Model for Photovoltaic Array Performance Prediction. Applied Energy, 84(2007), 1187–1198.

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Published

2026-02-03

Data Availability Statement

Dataset are available in the study

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Section

Research Articles

How to Cite

Dauda, S. Y. ., Arinze, N. O. ., & Umar, I. . (2026). Assessment of Performance of 80W Monocrystalline Photovoltaic (PV) Module in Abuja FCT. Electrical Engineering and Energy, 131-141. https://doi.org/10.64470/elene.2026.25