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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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4. Closure 4.1. Economic analysis conclusions The sensitivity analysis aims to determine the critical variables of the project, ie those variables for which a variation around the project taken into account resulted in a variation of more than 1% of the performance indicators. The variables considered in the sensitivity analysis were: cost of investment, income, total operating costs of the system. The analysis was performed sequentially determining the impact of each trait variation. The performance indicators taken into account were the net present value and internal rate of return on the entire project. Through repeated determinations point ranges +5%, +10%, the elasticity curves were plotted for the variables analyzed. Status of project performance indicators after variations + 5%; + 10% of the variables considered are shown in the graphs above. The project is sustainable and attractive if the state supports the use of renewable energies for electricity production through the allocation of green certificates. Otherwise, the investment in the production of electricity from low enthalpies geothermal water (<120 ° C) and solar power is uneconomical. The project allows the diversification in the usage of geothermal resources with low enthalpy (<120 ̊C). It is recommended that after the first loop of producing electricity using geothermal energy , the second loop to produce thermal energy for heating and hot tap water. In the third loop, the geothermal water can be used for recreation and spa treatment. 5. References ENSI – Economy software Guide to Cost-Benefit Analysis of investment projects - Structural Funds, Cohesion Fund and Instrument for Pre-Accession 2008 17

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