Assessing the prospective resource base for enhanced geothermal systems in Europe

Jon Limberger, Philippe Calcagno, Adelle Manzella, Eugenio Trumpy, Thijs Boxem, Maarten Pluymaekers, Jan-Diederik van Wees

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

In this study the resource base for EGS (enhanced geothermal systems) in Europe was quantified and economically constrained, applying a discounted cash-flow model to different techno-economic scenarios for future EGS in 2020, 2030, and 2050. Temperature is a critical parameter that controls the amount of thermal energy available in the subsurface. Therefore, the first step in assessing the European resource base for EGS is the construction of a subsurface temperature model of onshore Europe. Subsurface temperatures were computed to a depth of 10km below ground level for a regular 3-D hexahedral grid with a horizontal resolution of 10km and a vertical resolution of 250m. Vertical conductive heat transport was considered as the main heat transfer mechanism. Surface temperature and basal heat flow were used as boundary conditions for the top and bottom of the model, respectively. If publicly available, the most recent and comprehensive regional temperature models, based on data from wells, were incorporated.
With the modeled subsurface temperatures and future technical and economic scenarios, the technical potential and minimum levelized cost of energy (LCOE) were calculated for each grid cell of the temperature model. Calculations for a typical EGS scenario yield costs of EUR 215MWh−1 in 2020, EUR 127MWh−1 in 2030, and EUR 70 MWh−1 in 2050. Cutoff values of EUR 200MWh−1 in 2020, EUR 150MWh−1 in 2030, and EUR 100MWh−1 in 2050 are imposed to the calculated LCOE values in each grid cell to limit the technical potential, resulting in an economic potential for Europe of 19 GWe in 2020, 22 GWe in 2030, and 522 GWe in 2050. The results of our approach do not only provide an indication of prospective areas for future EGS in Europe, but also show a more realistic cost determined and depth-dependent distribution of the technical potential
by applying different well cost models for 2020, 2030, and 2050.
Original languageEnglish
Pages (from-to)55-71
Number of pages17
JournalGeothermal Energy Science
Volume2
Issue number1
DOIs
Publication statusPublished - 23 Dec 2014

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