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Description
The main goal of this project is to evaluate the subsurface geothermal potential of the Baia Mare area, a region that has the highest values of heat flow recorded to date in RO. This assessment requires a multi-data and multi-disciplinary approach consisting in the evaluation of available data, the collection of modern geoscientific data, and in joint interpretation of this geo-data. The resulted 3D lithospheric, hydrogeological and geothermal models will be used further in geothermal energy exploitation, which will benefit the community from the Baia Mare area. Geothermal energy is a renewable source that has little effect on environment. The amount of CO2 emitted during the generation of electrical and thermal energy using this renewable source is very small, close to zero, since no burning process is involved. Our study area is located in the northwestern part of RO and comprises tens of villages and the town of Baia Mare. In the rural areas, wood is the main source used for space heating. As an effect, the measured quantities of CO2 emissions resulted from burning wood and fossil fuel are high. A wider range of geophysical data will be recorded and integrate it with a wealth of geological, hydrogeological, petrological and geochemical data in complex 3D geo-models. An added innovative aspect of the research will be given by customised algorithms for geophysical data processing and analysis. Cutting-edge techniques (joint probabilistic inversion of surface wave data, geoid, gravity anomalies and heat flow measurements) will be applied for the first time in this region and for the purpose of unveiling geothermal potential. The scientific outcomes and results of the project are represented by a multi-data comprehensive database, 3D geo-models, newly identified areas which are suitable for drilling of promising geothermal wells and increased knowledge on renewable energy, energy efficiency and security in the rural areas.