Iyad M. Muslih and Yehya N. Abdellatif
Renewable Energy, Optimization, Cost of Energy
Hybrid Optimization Model for Electric Renewables (HOMER) software was utilized to determine the optimum design of a hybrid micro-power energy station by minimizing the cost of energy based on a zero capacity shortage. This paper is an extension to a pervious study to optimize the design and implementation of a hybrid power station. This paper provides a full analysis of the output power generated from the power station based on the current fuel price, wind speed, and solar conditions. The optimization function objective is to minimize the Net Price Cost (NPC) and the Cost of Energy (COE) with zero percentage of capacity shortage. The study discusses the environmental impact of the suggested power station on the local area. The main factors to consider are the generated Carbon Dioxide and Carbon Monoxide of the diesel usage. Other substance considered are; Sulfur Dioxide, Unburned Hydrocarbons, and Nitrogen Oxides. The paper presents a cost analysis of the project, where the total cost of the suggested power station is 103,148 dollars, including the capital cost of all power units, the O&M cost, the replacement cost and the Fuel cost.
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