Abstract
The energy transition requires a reduction of CO2 emissions from anthropogenic activity. In Europe, heat amounts to 50% of the total gross energy consumption. In conduction-dominated geological settings, geothermal resources can supply renewable, baseload heat for direct uses, in almost all parts of Europe. In these settings, economic viability can be challenging and should be considered as coupled to the development of geothermal fields.
The aim of this paper is to outline the way towards comprehensive uncertainty quantification. A methodology is proposed identifying three main categories of uncertainty sources to be evaluated based on three key performance indicators in a systematic approach. The sources of uncertainty include: a) subsurface characterization, b) development options and c) economics. The performance indicators are : i) cumulative energy generated, ii) system lifetime and iii) economic output. Each of the uncertainty sources and performance indicators are used to demonstrate the importance of a comprehensive approach to uncertainty quantification. Standardization and comprehensive analysis considering the combined uncertainty across the different uncertainty levels and over the key performance indicators is needed to enable more reliable and robust predictions of geothermal developments.
The aim of this paper is to outline the way towards comprehensive uncertainty quantification. A methodology is proposed identifying three main categories of uncertainty sources to be evaluated based on three key performance indicators in a systematic approach. The sources of uncertainty include: a) subsurface characterization, b) development options and c) economics. The performance indicators are : i) cumulative energy generated, ii) system lifetime and iii) economic output. Each of the uncertainty sources and performance indicators are used to demonstrate the importance of a comprehensive approach to uncertainty quantification. Standardization and comprehensive analysis considering the combined uncertainty across the different uncertainty levels and over the key performance indicators is needed to enable more reliable and robust predictions of geothermal developments.
Original language | English |
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Number of pages | 5 |
DOIs | |
Publication status | Published - 2024 |
Event | 85th EAGE Annual Conference & Exhibition 2024: Technology and talent for a secure and sustainable energy future - NOVA Spektrum Convention Centre, Oslo, Lillestrøm, Norway Duration: 10 Jun 2024 → 13 Jun 2024 https://eageannual.org/eage-annual-2024 |
Conference
Conference | 85th EAGE Annual Conference & Exhibition 2024 |
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Abbreviated title | EAGE Annual 2024 |
Country/Territory | Norway |
City | Oslo, Lillestrøm |
Period | 10/06/24 → 13/06/24 |
Internet address |
Bibliographical note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-careOtherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.