Suitability and Socio-Economic Analysis of Hybrid Renewable Energy Systems Deployment in Rural Areas of Abuja, Nigeria


Authors : Mika Paul Ibrahim; Roland Uhunmwango; Stella Orakwe; Benneth Oyinna

Volume/Issue : Volume 10 - 2025, Issue 5 - May


Google Scholar : https://tinyurl.com/yutdfvc2

DOI : https://doi.org/10.38124/ijisrt/25may2218

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.


Abstract : Access to sustainable and reliable electricity remains a pressing challenge in rural areas of Abuja, Nigeria, where grid extension is economically unviable and energy poverty persists. Hybrid Renewable Energy Systems (HRES), combining multiple renewable sources such as solar and wind with backup systems like biogas generators or batteries, have emerged as a viable solution to bridge this gap. This study conducts a geospatial suitability analysis to identify optimal locations for deploying HRES in rural communities of Abuja using Geographic Information Systems (GIS). By integrating environmental, topographic, and socio-economic criteria such as solar irradiance, wind speed, and land use, the study aims to guide stakeholders in prioritizing investment and planning. Data were sourced from satellite imagery, meteorological datasets, and national geographic databases, and analyzed using weighted overlay techniques suitability analysis in ArcGIS. This study successfully conducted a suitability analysis combining solar, wind, and biomass resource layers to identify Bwari (including Kurudu, Shere, Igu, and Kawu), Gwagwalada (Gawu), and Abuja Municipal Area Council (Karu, Orozo, Garki 1, and Nyanya) as the most promising locations for hybrid energy system deployment. The socio-economic analysis shows that energy access in rural FCT is limited, with 43.5% of respondents having limited access to electricity for 0-2 hours daily. Primary energy sources are traditional and polluting, with 35% using firewood, 32% relying on diesel generators, and 1.4% using solar energy. Most respondents are aware of renewable energy, with 86.4% believing it could benefit their community. Biomass resources, such as poultry waste and agricultural residues, are prevalent, with 91.2% willing to contribute financially.

Keywords : Suitability Analysis, Mapping, Geographic Information Systems, Renewable Energy, Rural Communities, Abuja.

References :

  1. Adaramola, M. S., Agelin-Chaab, M., & Paul, S. S. (2014). Assessment of wind power generation along the coast of Nigeria. Energy, 72, 654-667. https://doi.org/10.1016/j.energy.2014.05.112
  2. Akinyele, D. O., & Rayudu, R. K. (2014). Review of energy storage technologies for sustainable power networks. Sustainable Energy Technologies and Assessments, 8, 74-91. https://doi.org/10.1016/j.seta.2014.07.004
  3. Ibrahim, M. P., Uhunmwango, R., Kalnoor, G., Orakwue, S. I., Benneth, C., Okedu, K. E., & Colak, I. (2025). GIS based assessment of renewable energy potential in the rural communities of Abuja , Nigeria.
  4. IEA. (2023). Africa Energy Outlook 2022: World Energy Outlook Special Report (Revised in 2023). International Energy Agency (IEA). 250. https://www.iea.org/reports/africa-energy-outlook-2022%0Ahttps://iea.blob.core.windows.net/assets/220b2862-33a6-47bd-81e9-00e586f4d384/AfricaEnergyOutlook2022.pdf
  5. Ikejemba, E. C. X., & Schuur, P. C. (2018). Barriers to rural electrification in developing countries: A case study of Nigeria. Renewable and Sustainable Energy Reviews, 82, 1665-1679. https://doi.org/10.1016/j.rser.2017.07.060
  6. Lee, J. Y., Ramasamy, A. K., Ong, K. H., Verayiah, R., Mokhlis, H., & Marsadek, M. (2023). Energy storage systems: A review of its progress and outlook, potential benefits, barriers and solutions within the Malaysian distribution network. Journal of Energy Storage, 72. https://doi.org/10.1016/j.est.2023.108360
  7. Oghomwen Igbinovia, F., & Igbinovia, F. O. (2018). an Overview of Renewable Energy Potentials in Nigeria: Prospects, Challenges and the Way Forward. July. https://www.researchgate.net/publication/319450558
  8. Okedu, K. E., Oyinna, B., Colak, I., & Kalam, A. (2024). Geographical information system based assessment of various renewable energy potentials in Nigeria. Energy Reports, 11(October 2023), 1147–1160. https://doi.org/10.1016/j.egyr.2023.12.065
  9. Oyinna, B. C., Okedu, K. E., Kalnoor, G., Raju, L., Murali Krishna, V. B., & Colak, I. (2025). Economic Analysis of Off-grid Energy Projects: A FINPLAN Model Approach. IEEE Access, April, 1–14. https://doi.org/10.1109/ACCESS.2025.3561631
  10. Oyedepo, S. O., Adaramola, M. S., & Paul, S. S. (2021). Techno-economic evaluation of hybrid renewable energy systems for rural electrification in Nigeria. Renewable Energy, 164, 96-112. https://doi.org/10.1016/j.renene.2020.09.013
  11. Oyinna, B. C., & Ukoba, M. O. (2024). Geographical Information System Based assessment of small hydropower potential in South-Eastern Nigeria ; A case study of Abia state . 142, 43–54.
  12. Oyinna, B., David, L. E., Okedu, K. E., Diemuodeke, O. E., Kalam, A., & Colak, I. (2024). Measurement : Sensors SMS based reservoir condition monitoring sensor system for pumped hydro storage in mini-grids. Measurement: Sensors, 33(January), 101242. https://doi.org/10.1016/j.measen.2024.101242
  13. Oyinna, B., Okedu, K. E., Diemuodeke, O. E., David, L. E., Negedu, I. O., Osemudiamen, E. A., Colak, I., & Kalam, A. (2023). Assessing small hydropower sites in Nigeria for sustainable development using ArcGIS. Energy Reports, 10, 2889–2898. https://doi.org/10.1016/j.egyr.2023.09.102
  14. Sambo, A. S. (2019). The role of renewable energy in achieving sustainable development in Nigeria. Nigerian Journal of Renewable Energy, 24(1), 1-10.
  15. Shaaban, M., & Petinrin, J. O. (2014). Renewable energy potentials in Nigeria: Meeting rural energy needs. Renewable and Sustainable Energy Reviews, 29, 72-84. https://doi.org/10.1016/j.rser.2013.08.078

16. Solanke, A. V., Verma, S. K., Kumar, S., & Oyinna, B. (2024). MPPT For Hybrid Energy System Using Machine Learning Techniques. 01(01), 19–37.

Access to sustainable and reliable electricity remains a pressing challenge in rural areas of Abuja, Nigeria, where grid extension is economically unviable and energy poverty persists. Hybrid Renewable Energy Systems (HRES), combining multiple renewable sources such as solar and wind with backup systems like biogas generators or batteries, have emerged as a viable solution to bridge this gap. This study conducts a geospatial suitability analysis to identify optimal locations for deploying HRES in rural communities of Abuja using Geographic Information Systems (GIS). By integrating environmental, topographic, and socio-economic criteria such as solar irradiance, wind speed, and land use, the study aims to guide stakeholders in prioritizing investment and planning. Data were sourced from satellite imagery, meteorological datasets, and national geographic databases, and analyzed using weighted overlay techniques suitability analysis in ArcGIS. This study successfully conducted a suitability analysis combining solar, wind, and biomass resource layers to identify Bwari (including Kurudu, Shere, Igu, and Kawu), Gwagwalada (Gawu), and Abuja Municipal Area Council (Karu, Orozo, Garki 1, and Nyanya) as the most promising locations for hybrid energy system deployment. The socio-economic analysis shows that energy access in rural FCT is limited, with 43.5% of respondents having limited access to electricity for 0-2 hours daily. Primary energy sources are traditional and polluting, with 35% using firewood, 32% relying on diesel generators, and 1.4% using solar energy. Most respondents are aware of renewable energy, with 86.4% believing it could benefit their community. Biomass resources, such as poultry waste and agricultural residues, are prevalent, with 91.2% willing to contribute financially.

Keywords : Suitability Analysis, Mapping, Geographic Information Systems, Renewable Energy, Rural Communities, Abuja.

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