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Advances in the modeling of the Iberian thermal lithosphere and perspectives on deep geothermal studies

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Abstract

Renewable energy sources are key to achieve the transition toward clean energy system. Among them, the geothermal energy has a production whose efectiveness requires sufcient understanding of the temperature distribution and fuid circulation at depth, as well as of the lithological and petrophysical properties of the crust. The focus of this paper is twofold: frst, we summarize the main advances in the develop ment of new methodologies and numerical codes to characterize the properties of the thermal lithosphere in terms of its, temperature, density and composition; second, based on the compilation of available thermal modelling results, we present the depth of the thermal Lithosphere–Asthenosphere Boundary (LAB) of the Iberian Peninsula and the temperature distribution at crustal depths of 5, 10, and 20 km, in addition to at Moho level. At 5 km depth, the temperature is above 110 °C with local anomalies (>130 °C) located in the Iberian Massif and Cenozoic volcanic provinces. A similar pattern is observed at 10 and 20 km depth, where temperatures are above 190 °C and 350 °C, respectively. At 20 km depth, anomalies above>500 °C, delineate the SE and NE Cenozoic volcanic provinces. At Moho depths, temperature ranges from 450 to 800 °C with hot regions mainly located along the Iberian Massif and the SE and NE volcanic provinces. The compiled results do not show any lithospheric anomaly that could give rise to high temperatures at shallow depths, but they do show an acceptable exploi tation potential at intermediate depths. With regard to the direct use of district and greenhouse heating and for industrial processes, the potential is great throughout the Peninsula, the main challenges being the availability of groundwater and drilling costs.

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© The Author(s) 2023. This work has been performed using the facilities of the Laboratory of Geodynamic Modeling from Geo3BCN-CSIC. Figures 2, 3, 4, 5, 6, 7, 8 were totally or partly drawn using GMT software (Wessel et al. 2013). The authors thank two anonymous reviewers for their comments and suggestions that have improved the previous version of this manuscript. Open Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature. This work has been supported by EVAMED (PID2020-118999GB-I00) and GEOCAM (PGC2018-095154-B-100) funded by the Spanish Ministry of Science and Innovation/State Research Agency of Spain (AEI)/https://doi.org/10.13039/501100011033.e). JA is funded by Grant IJC2018-036074-I and EGR by the Ramón y Cajal Fellowship RYC2018-026335-I, both funded by the Spanish Ministry of Science and Innovation (MCIN)/State Research Agency of Spain (AEI). Additional funding comes from the European Regional Development Fund (ERDF)/https://doi.org/10.13039/501100011033.e

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