2021
DOI: 10.1016/j.geothermics.2020.101999
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Regional-scale assessment of the thermal potential in a shallow alluvial aquifer system in the Po plain (northern Italy)

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Cited by 15 publications
(9 citation statements)
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“…Energies 2021, 14, 768 2 of 18 All these features are necessary to describe the geothermal (or heat-exchange) potential of an area, defined as the thermal power that can be exchanged with the ground through a GSHE with a certain setup [12,13]. For this purpose, the geothermal potential, which is the indicator of the efficiency and suitability for the implementation of a BHE, has been mapped in a great variety of environments and areal scales, with many different techniques, combining climatic, geological, hydrogeological and thermophysical information, usually in GIS environment-e.g., [1][2][3]9,[12][13][14][15][16][17][18].…”
Section: Introductionmentioning
confidence: 99%
“…Energies 2021, 14, 768 2 of 18 All these features are necessary to describe the geothermal (or heat-exchange) potential of an area, defined as the thermal power that can be exchanged with the ground through a GSHE with a certain setup [12,13]. For this purpose, the geothermal potential, which is the indicator of the efficiency and suitability for the implementation of a BHE, has been mapped in a great variety of environments and areal scales, with many different techniques, combining climatic, geological, hydrogeological and thermophysical information, usually in GIS environment-e.g., [1][2][3]9,[12][13][14][15][16][17][18].…”
Section: Introductionmentioning
confidence: 99%
“…Ref. [32] performed a regional scale assessment of the potential for a shallow alluvial aquifer in the Po plain (northern Italy) to host lowenthalpy geothermal systems. Ref.…”
Section: Shallow Geothermal Energy Systems: European and Italian Fram...mentioning
confidence: 99%
“…Hydrogeological information were derived collecting and digitalizing 5319 qualitative borehole logs reaching at least − 100 m below the ground surface from the regional geological database ([dataset] Regione Lombardia, 2022a). Following the methodology proposed by Previati and Crosta (2021) for a smaller area, the hydrogeological parametrization of the subsurface was done combining the qualitative hydro-facies classification of the borehole stratigraphies with empirical estimations of the porosity and hydraulic conductivity from the analysis of 1467 grain-size distributions. Finally, for each available borehole, equivalent hydraulic parameters for a reference depth of 100 m were computed as the thickness-weighted average of the values assigned to each stratigraphic unit, and interpolated over the study area (the spatial distribution of the equivalent horizontal hydraulic conductivity (K) and porosity (n) is provided in the Supplementary material).…”
Section: Hydrogeologic Settinginput Datamentioning
confidence: 99%