Deployment and Sustainability of Solar Energy in the Niger Delta Area

International Journal of Electrical and Electronics Engineering

© 2024 by SSRG - IJEEE Journal

Volume 11 Issue 11

Year of Publication : 2024

Authors : Efenedo, G.I, Okpeki, U.K, Oyubu, A.O, Okieke, U.J, Ebisine, E.E

10.14445/23488379/IJEEE-V11I11P108

How to Cite?

Efenedo, G.I, Okpeki, U.K, Oyubu, A.O, Okieke, U.J, Ebisine, E.E, "Deployment and Sustainability of Solar Energy in the Niger Delta Area," SSRG International Journal of Electrical and Electronics Engineering, vol. 11,  no. 11, pp. 77-83, 2024. Crossref, https://doi.org/10.14445/23488379/IJEEE-V11I11P108

Abstract:

The Niger Delta area, located in the South-South region of Nigeria, faces constant epileptic power supply from the conventional power system that had drastically hindered her economic growth and development. Based on the geographical location of the area, electrical energy can be harnessed from the abundant solar power energy to argue the epileptic’s power supply. The performance of installed solar street lights in Oleh, a University community in the area, was observed over a period of six months and also subjected to forecast analysis using the SPSS 7.5 application over another six months. An experimental setup was also carried out to propose a model for solar power generation for the area. The observed street lights showed good performance over a period of six months without maintenance, while the forecast analysis was of adequate sustainability over another six months. Data collation from power produced by the ten panels over one year was employed in a model formulation for solar power production for the area. The measured output power was compared with the predicted output power. The average energy generated by the PV panels for the duration was 1.550kWh, while the model-predicted power over the same period was 1.571kWh. The results show that the empirical model predicted power is higher compared to the measured power. Therefore, the developed model can be deployed for electrical energy production computation to serve as a tool for better PV system performance in the area. 

Keywords:

Solar energy, Photovoltaic (PV) panels, Forecasting, Model formulation, Power prediction.

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