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An estimation of the enhanced geothermal systems potential for the Iberian Peninsula

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  • Chamorro, César R.
  • García-Cuesta, José L.
  • Mondéjar, María E.
  • Linares, María M.

Abstract

An estimation of the Enhanced Geothermal System's theoretical technical potential for the Iberian Peninsula is presented in this work. As a first step, the temperature at different depths (from 3500 m to 9500 m, in 1000 m steps) has been estimated from existing heat flow, temperature at 1000 m and temperature at 2000 m depth data. From the obtained temperature-at-depth data, an evaluation of the available heat stored for each 1 km thick layer between 3 and 10 km depth, under some limiting hypotheses, has been made. Results are presented as the net electrical power that could be installed, considering that the available thermal energy stored is extracted during a 30 year project life. The results are presented globally for the Iberian Peninsula and separately for Portugal (continental Portugal), Spain (continental Spain plus the Balearic Islands) and for each one of the administrative regions included in the study. Nearly 6% of the surface of the Iberian Peninsula, at a depth of 3500 m has a temperature higher than 150 °C. This surface increases to more than 50% at 5500 m depth, and more than 90% at 7500 m depth. The Enhanced Geothermal System's theoretical technical potential in the Iberian Peninsula, up to a 10 km depth (3 km–10 km) and for temperatures above 150 °C, expressed as potential installed electrical power, is as high as 700 GWe, which is more than 5 times today's total electricity capacity installed in the Iberian Peninsula (renewable, conventional thermal and nuclear).

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  • Chamorro, César R. & García-Cuesta, José L. & Mondéjar, María E. & Linares, María M., 2014. "An estimation of the enhanced geothermal systems potential for the Iberian Peninsula," Renewable Energy, Elsevier, vol. 66(C), pages 1-14.
    • Handle: RePEc:eee:renene:v:66:y:2014:i:c:p:1-14
    DOI: 10.1016/j.renene.2013.11.065
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    1. Bayer, Peter & Rybach, Ladislaus & Blum, Philipp & Brauchler, Ralf, 2013. "Review on life cycle environmental effects of geothermal power generation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 26(C), pages 446-463.
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    2. Chen, Jiliang & Jiang, Fangming, 2015. "Designing multi-well layout for enhanced geothermal system to better exploit hot dry rock geothermal energy," Renewable Energy, Elsevier, vol. 74(C), pages 37-48.
    3. Zhao, Yangsheng & Feng, Zijun & Feng, Zengchao & Yang, Dong & Liang, Weiguo, 2015. "THM (Thermo-hydro-mechanical) coupled mathematical model of fractured media and numerical simulation of a 3D enhanced geothermal system at 573 K and buried depth 6000–7000 M," Energy, Elsevier, vol. 82(C), pages 193-205.
    4. Ashish Gulagi & Dmitrii Bogdanov & Christian Breyer, 2017. "A Cost Optimized Fully Sustainable Power System for Southeast Asia and the Pacific Rim," Energies, MDPI, vol. 10(5), pages 1-25, April.
    5. Lu, Shyi-Min, 2018. "A global review of enhanced geothermal system (EGS)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2902-2921.
    6. Colmenar-Santos, Antonio & Folch-Calvo, Martin & Rosales-Asensio, Enrique & Borge-Diez, David, 2016. "The geothermal potential in Spain," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 865-886.
    7. Cristina Sáez Blázquez & Ignacio Martín Nieto & Arturo Farfán Martín & Diego González-Aguilera & Pedro Carrasco García, 2019. "Comparative Analysis of Different Methodologies Used to Estimate the Ground Thermal Conductivity in Low Enthalpy Geothermal Systems," Energies, MDPI, vol. 12(9), pages 1-14, May.
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    9. Sun, Zhi-xue & Zhang, Xu & Xu, Yi & Yao, Jun & Wang, Hao-xuan & Lv, Shuhuan & Sun, Zhi-lei & Huang, Yong & Cai, Ming-yu & Huang, Xiaoxue, 2017. "Numerical simulation of the heat extraction in EGS with thermal-hydraulic-mechanical coupling method based on discrete fractures model," Energy, Elsevier, vol. 120(C), pages 20-33.
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    11. Trumpy, Eugenio & Bertani, Ruggero & Manzella, Adele & Sander, Marietta, 2015. "The web-oriented framework of the world geothermal production database: A business intelligence platform for wide data distribution and analysis," Renewable Energy, Elsevier, vol. 74(C), pages 379-389.
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