Energy-Mix Dynamic for Optimization of Power Generation Strategy and Expansion in a Developing Economy Growth

This paper applied decomposition techniques to determine the capacity combination for fossil fuel (hydrocarbon) consumption pattern as an objective cost function of power plants. The generating capacity are decomposed into different optimization options on the view to make operational cost saving in accordance to load demand and generating capacity of 2250 MW for Afam, 2350 MW for Sapele and 3000 MW for Egbin Station. Projection plans of 20 years was used for the analysis. Five optimization was developed for cost savings plan 1, 2, 3, 4 and 5 respectively. Possibility of utilizing Renewable Energy sources (solar and wind energy) with respect to hydrocarbon sources as a form of energy mix dynamic for electricity power generation are proposed in the new power structure, Nigeria. The consequences was as a result of changes in climatic scenarios due to burning of hydrocarbon, environmental pollution which necessitate deep reduction in greenhouse gases. Since Nigeria is endowed with Renewable Energy resources particularly wind and solar potentials of all 36 states and federal Capital Territory. The primary sources of information was accessed using data in the open literature about selected location in each state (table I and II). Determination of wind speed profile for wind-turbine generation required estimation of wind potential using Weilbull probability distribution. Similarly, solar irradiation values across several places in Nigeria considered energy demand which depends on population and economic activities of the locality of the sun-radiation potential, which are simulated with Hybrid Optimization Model of Renewable Energy Sources (HOMER).