The Economic Community of West African States aims to achieve 100% electrification rates by 2030 in all member countries. To achieve this ambitious target, electricity generation capacities need to be increased significantly. Forecasting hourly electricity demand is imperative for capacity planners in optimizing investment options and ensuring reliable electricity supply. However, modelling hourly electricity demand in developing countries can be a challenge due to paucity of historical demand data and methodological frameworks that adequately capture technology transitions and urban-rural communities. In this study, we address this gap by developing an hourly electricity demand model for 14 West African countries in the year 2016 and 2030.The model takes into accounts electrification rates, available household appliances, occupancy patterns of household members, type of day, available daylight hours and hourly weather conditions. Annual electricity demand in nonresidential sectors and electricity access rates in urban and rural households are forecasted using multiple regression analysis. We validated the developed model using actual 2016 monthly and annual electricity demand data. The results show the seasonal variations of electricity demand, with hourly electricity demand in dry seasons relatively higher than demand in wet seasons. The results also indicate that in 2030, electricity demand in the West African region is estimated to be five times its 2016 level. The methodology presented in this study can be applicable for modelling hourly electricity demand in developing countries that have scarce historical hourly demand data, a significant electricity supply-demand gap, and varying electricity access rates in urban and rural areas.

The West African region is currently experiencing the challenge of meeting rapidly the growing electricity demand which has played a critical role in the low economic development rate of the region. To tackle these challenges, the West African Power Pool was established to build regional power plants and interconnected transmission infrastructures between the countries. In this study, we develop a multi-region economic dispatch model with hourly simulations to evaluate the impact of increased integration of solar PV on the interconnected West Africa electricity network. Our results show the high integration of solar PV plants reduces the supplydemand gap and load shedding in the region. All countries in the region potentially benefit from avoided generation cost and decrease in unserved electricity demand. Our study presents a sustainable strategy to diversify from hydro and gas regional projects and invest in solar PV in order to improve electricity supply and reduce the high electricity prices in the region.

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