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Data integration and favourability maps for exploring geothermal systems in Sicily, southern Italy

descriptionPublicationkeyboard_double_arrow_right Article , Journal 01 Jul 2015 Italy Publisher:Elsevier BVJournal:Geothermics, volume 56, pages 1-16 (issn: 0375-6505,

Authors: Trumpy Eugenio; Donato Assunta; Gianelli Giovanni; Gola Gianluca; Minissale Angelo A; Montanari Domenico; Santilano Alessandro; +1 Authors

doi: 10.1016/j.geothermics.2015.03.004

handle: 20.500.14243/298333 , 11583/2654691

Data integration and favourability maps for exploring geothermal systems in Sicily, southern Italy

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Abstract

This paper describes a data integration tool used to identify potentially undiscovered geothermal resources in the island of Sicily. The factors facilitating the recovery of exploitable geothermal energy were defined, and their spatial correlation established by Geographic Information System (GIS) models.By prioritizing favourable conditions using an Index Overly method, "favourability" maps of Sicily were obtained. The maps considered both geological and economic aspects, and energy recovery was considered for current technologies. Our approach and maps are useful for developing and planning local or national energy policies including geothermal energy.

Country

Italy

Related Organizations

National Research Council
United States
Institute of Geosciences and Earth Resources
Italy
Polytechnic University of Turin
Italy
National Research Council
Italy
National Academies of Sciences, Engineering, and Medicine
United States

Keywords

Favourability map; Geothermal energy; GIS model; Sicily; Geology; Geotechnical Engineering and Engineering Geology; Renewable Energy, Sustainability and the Environment, GIS model, Favourability map, Geothermal energy, Sicily

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	41
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%