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Economic modeling of low-temperature geothermal energy

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Economic modeling of low-temperature geothermal energy ( economic-modeling-low-temperature-geothermal-energy )

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3.2. The sensitivity analysis Financial sensitivity analysis respectively the internal rate of return. Considering elasticity, there were settled as a variable the critical variables (level of net income and the amount of investment) for which the calculation of the switching was performed in order to determine the maximum variation of the critical variable for the performance indicator analysis. In a variation of + 5% and 10% ,the IRR variation is significant ranging from 1% to 2%. The increase or decrease of the revenues or costs by 5% influences the internal rate of return by 1% and a variation of 10% IRR varies by 2%. The NPV quotient has a positive value for the analysis period of 15 years -the period of project life. For NPV> 0 at n = 15 years the project is profitable and attractive. Because it is a modular design, it can be copied easily and allows the reduction of some operating costs. Economic sensitivity analysis With the launch of the green certificates support scheme for renewable energies in electricity production in Romania there was established that it provides six GC for 1MWh produced from solar energy. The significant reduction in world prices of photovoltaic panels in The variables considered in the sensitivity analysis were: cost of investment, income, and that the cost of raw materials. The analysis was performed sequentially determining the impact of the variation of each and every parameter. The performance indicator considered was the internal rate of return. Through repeated measurements point ranges + / - 5% there were drawn the elasticity curves related to the analysed variable, 143,0% 121,0% 190,0% 87,0% 6,0% Financial sensitivity analysis graph -0,15 Financial sensitivity analysis graph 2 11,0% venituri nete investiția costuri de operare -15% -10% 10,0% 9,0% 8,0% 7,0% 6,0% -5% 0% 5% variatia factorilor 10% 15% 14 IRR IRR

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Economic modeling of low-temperature geothermal energy

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