In this paper is analyzed a stand-alone solar-wind hybrid system with energy storage in batteries installed on a farm in Romania. Because, after following the system operation, was discovered that the energy demand is not fully covered, two solutions were proposed. The optimization of the system was performed using iHoga, which is a simulation and optimization software based on genetic algorithms. A series of simulations have been conducted, with different configurations of the system, finally obtaining two optimal solutions for the hybrid system. The first solution proposes to increase the number of photovoltaic panels by 10 panels of the same type - System A, and the second solution proposes the installation of a generator - System B. Analyzing the two solutions was noted that in case of the System A, even if the initial investment is higher and produces a lot of excess energy, the total cost over the lifetime of the system is lower then in case of System B. Also, by comparing the two solutions, can be observed a high increase of carbon dioxide emissions in case of System B.

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In the context of sustainable development, the use of renewable energy sources and the decrease of greenhouse gas emissions have become global priorities. Geothermal energy represents an important potential for many countries, including our country. If the exploitation of thermal energy has a relatively widespread, the production of electricity is less developed, even if there are countries that cover a significant part of the electricity demand from this resource. In this paper, the authors aim to present the main technical solutions that produce electricity from geothermal sources, but also present some topological models for integrating the obtained electricity in the public network.

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