DOI: https://doi.org/10.36347/sjet.2024.v12i09.001

Pages: 276-285

The world energy demand rises due to population growth and other economic and political factors. The electrical energy generation source from renewable energy resources such as solar and wind energy can mitigate the problem. The technology of harnessing solar energy for electricity generation using PV is prominent. Integrating PV with wind turbine to form a hybrid system could be the best alternative. This work involved the use of improved Hybrid Optimization Model for Genetic Algorithm (iHOGA) for feasibility analysis of hybrid solar photovoltaic (PV)-wind energy system for power supply to office building in Aliero, Nigeria. The appliances required for office building includes: lighting points, standing fans, charging points and small scale portable refrigerator. The result from feasibility analysis revealed that, PV energy system generated 2,300 kWh energy and release 54.3% and 26.1% of it for serving the load and the auxiliary load. The wind energy system generated 420 kWh which is 68.2% less than the 1,320 kWh load demand. The hybrid PV-wind energy system generated 2,620 kWh and serves the load with only 46.6% and export 37.4% to auxiliary load, 4.2 % energy loss due to batteries and zero or negligible unmet load, while the remaining 11.8 % is losses through the inverter and charge controller. Therefore, 135 W PV module could be hybridize with 200 W wind turbine, two (2) pieces of 200 Ah batteries, 40 A charge controllers and 1600 VA inverter for portable power supply to the building. The net present cost (NPC), cost of energy (COE) and carbon dioxide (CO2) emission for the optimal PV-wind hybrid energy system are $ 22,229.3, 0.9024 $/kWh and 104 kg/yr respectively. Therefore, based on this design, hybrid PV-wind energy system is more reliable and stable energy system.