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Photovoltaic System Loads Analysis for Low/Middle Income Earners in Afikpo, Ebonyi State, Nigeria.

Authors

Engr Dr E C Arihilam

Electrical Electronic Engineering Department Akanu Ibiam Federal Polytechnic, Unwana Ebonyi State. Nigeria (NG)

Article Information

DOI: 10.51583/IJLTEMAS.2026.150600286

Subject Category: Photovoltaic System

Volume/Issue: 15/6 | Page No: 3861-3870

Publication Timeline

Submitted: 2026-08-04

Published: 2026-08-04

Abstract

Unreliable electricity supply remains a persistent challenge in many developing countries, disproportionately affecting low- and middle-income households through frequent power outages and rising energy costs. This study assessed household electrical energy demand and determined the optimal sizing of stand-alone photovoltaic (PV) systems for low- and middle-income households in Afikpo, Ebonyi State, Nigeria.


A total of 100 households participated in the study, comprising 50 low-income households (monthly income of ₦50,000–₦150,000) and 50 middle-income households (monthly income of ₦150,000–₦500,000). A structured load survey was conducted to collect data on household appliances, including their quantities, rated power, and average daily operating hours. Daily energy demand was estimated from the load survey, and PV systems were designed using standard engineering procedures based on daily energy consumption, average peak sunshine hours, system de-rating factor, battery storage requirements, and inverter capacity. The economic viability of the proposed systems was evaluated using installation cost estimates and simple payback period analysis.


The results show that low-income households consume an average of 2.15 kWh/day and can be adequately served by a 600 W stand-alone PV system comprising two 300 W solar modules, a 48 V, 150 Ah battery bank, and a 1 kW pure sine wave inverter. Middle-income households recorded an average daily energy demand of 5.48 kWh/day, requiring a 1.5 kW PV system consisting of three 500 W solar modules, a 48 V, 300 Ah battery bank, and a 2 kW pure sine wave inverter. Economic analysis indicates that the proposed systems are financially attractive, with estimated payback periods of approximately three years, depending on household energy consumption and prevailing component costs.


The findings confirm that household income level significantly influences electricity demand and PV system sizing requirements. The study demonstrates that properly designed stand-alone photovoltaic systems provide a technically feasible, economically viable, and environmentally sustainable solution for improving residential electricity access in semi-urban Nigeria. The results provide practical design guidelines for engineers, researchers, policymakers, and energy planners involved in residential renewable energy deployment.

Keywords

Photovoltaic systems, household energy demand, system sizing, payback period, rural electrification, Nigeria

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References

1. Adamu, A., Aliyu, A. S., & Musa, I. (2020). Assessment of residential electricity consumption in northern Nigeria: Implications for solar energy deployment. Nigerian Journal of Solar Energy, 11(2), 45–58. [Google Scholar] [Crossref]

2. Aliyu, A. S., Ramli, A. T., & Saleh, M. A. (2015). Nigeria electricity crisis: Power generation capacity expansion and the environmental ramifications. Energy, 61, 354–367. [Google Scholar] [Crossref]

3. Brew-Hammond, A. (2010). Energy access in Africa: Challenges ahead. Energy Policy, 38(5), 2291–2301. [Google Scholar] [Crossref]

4. Duffie, J. A., & Beckman, W. A. (2013). Solar Engineering of Thermal Processes (4th ed.). Wiley. [Google Scholar] [Crossref]

5. Ekouevi, K., & Tuntivate, V. (2012). Household Energy Access for Cooking and Heating: Lessons Learned and the Way Forward. World Bank. [Google Scholar] [Crossref]

6. Enongene, K. E., Abanda, F. H., Otene, I. J. J., Obi, S. I., & Okafor, C. (2019). The potential of solar photovoltaic systems for residential homes in Lagos city of Nigeria. Journal of Environmental Management, 244, 247–256. https://doi.org/10.1016/j.jenvman.2019.04.039 [Google Scholar] [Crossref]

7. Fthenakis, V., & Kim, H. C. (2011). Photovoltaics: Life-cycle analyses. Solar Energy, 85(8), 1609–1628. [Google Scholar] [Crossref]

8. IEA. (2022). World Energy Outlook 2022. International Energy Agency. [Google Scholar] [Crossref]

9. IPCC. (2014). Climate Change 2014: Mitigation of Climate Change. Cambridge University Press. [Google Scholar] [Crossref]

10. Kamalapur, G. D., & Udaykumar, R. Y. (2011). Rural electrification in India and feasibility of photovoltaic solar home systems. International Journal of Electrical Power & Energy Systems, 33(3), 594–599. [Google Scholar] [Crossref]

11. Karekezi, S., McDade, S., Boardman, B., & Kimani, J. (2012). Energy, poverty, and development. In Global Energy Assessment. Cambridge University Press. [Google Scholar] [Crossref]

12. Khatib, T., Mohamed, A., & Sopian, K. (2013). A review of photovoltaic systems size optimization techniques. Renewable and Sustainable Energy Reviews, 22, 454–465. [Google Scholar] [Crossref]

13. Kolhe, M., Kolhe, S., & Joshi, J. C. (2002). Economic viability of stand-alone solar photovoltaic system in comparison with diesel-powered system for India. Energy Economics, 24(2), 155–165. [Google Scholar] [Crossref]

14. Markvart, T. (2000). Solar Electricity (2nd ed.). Wiley. [Google Scholar] [Crossref]

15. Messenger, R. A., & Ventre, J. (2010). Photovoltaic Systems Engineering (3rd ed.). CRC Press. [Google Scholar] [Crossref]

16. Ohiare, S. (2015). Expanding electricity access to all in Nigeria: A spatial planning and cost analysis. Energy, Sustainability and Society, 5(8), 1–18. https://doi.org/10.1186/s13705-015-0037-9 [Google Scholar] [Crossref]

17. Ohunakin, O. S., Adaramola, M. S., Oyewola, O. M., & Fagbenle, R. O. (2013). Solar energy applications and development in Nigeria: Drivers and barriers. Renewable and Sustainable Energy Reviews, 32, 294–301. [Google Scholar] [Crossref]

18. Ondraczek, J. (2013). The sun rises in the east (of Africa): A comparison of the development and status of solar energy markets in Kenya and Tanzania. Energy Policy, 56, 407–417. [Google Scholar] [Crossref]

19. Painuly, J. P. (2001). Barriers to renewable energy penetration: A framework for analysis. Renewable Energy, 24(1), 73–89. [Google Scholar] [Crossref]

20. Pelz, S., Chinichian, N., Neyrand, C., & Blechinger, P. (2023). Electricity supply quality and use among rural and peri-urban households and small firms in Nigeria. Scientific Data, 10, 274. https://doi.org/10.1038/s41597-023-02185- [Google Scholar] [Crossref]

21. Sambo, A. S. (2009). Strategic developments in renewable energy in Nigeria. International Association for Energy Economics, 4, 15–19. [Google Scholar] [Crossref]

22. Shaahid, S. M., & El-Amin, I. (2009). Techno-economic evaluation of off-grid hybrid photovoltaic-diesel-battery power systems for rural electrification in Saudi Arabia [Google Scholar] [Crossref]

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