A solar parabolic dish electric power generation system is one option for a high temperaturernsolar concentrator that is capable to achieve a high system performance. This results from thernfact that it combines an excellent concentrator, a very efficient cavity receiver and a highrnperformance heat engine. rnThe Stirling dish system produces electricity using concentrated solar thermal energy to drive arnStirling engine. The system utilizes a parabolic mirror equipped with dual-axis tracking tornconcentrate solar radiation onto a thermal receiver integrated in the Stirling engine. The receiverrnconsists of a heat exchanger designed to transfer the absorbed solar energy to the working fluid,rntypically, hydrogen. The Stirling engine then converts the absorbed thermal energy tornmechanical power by expanding the gas in a piston-cylinder in a manner similar to a gas orrndiesel engine. The linear motion is converted to a rotary motion to turn a generator to producernelectricity. rnThe electrical output of the system is proportional to the size of the reflector, its optical lossesrnand the efficiencies of the Stirling engine and the generator. rnThis thesis outlines the theory and models for the collector, receiver, and Stirling engine, thernparasitic power. An energy prediction model was created for solar Stirling dish systems tornpredict the location dependent long term performance of these systems. The model analyzes thernperformance of the parabolic mirror, receiver, Stirling engine, and the parasitic powerrnconsumption to predict the net power produced. rnThe power plant analyzed in this paper has a capacity of generating 10MW electric power. Thernperformance prediction models were implemented in EES and TRNSYS and include locationrndependent properties that affect the performance based on the direct normal insolation, ambientrntemperature, density of air (altitude), sun elevation angle, and the wind speed. rnThe cost and financial analysis is made for the Dish System. Solar Advisor Model is used tornmake this analysis under Kombolcha weather condition. This analysis is used to determine therndifferent costs associated with the power plant. The cash flow for the 30 years of operation of thernpower plant is also shown. rnI