3520825
doi
10.5281/zenodo.3520825
oai:zenodo.org:3520825
user-eu_project_meet
user-eu
Ilak, Perica
University of Zagreb – Faculty of Electrical Engineering and Computing, Croatia
Rajšl, Ivan
University of Zagreb – Faculty of Electrical Engineering and Computing, Croatia
Bilić, Tena
University of Zagreb – Faculty of Electrical Engineering and Computing, Croatia
Trullenque, Ghislain
Département GEOS UniLaSalle, France
Assessment of enhanced geothermal projects and their optimal long-term usage plans by using the DMS-TOUGE decision-making support tool
Raos, Sara
University of Zagreb – Faculty of Electrical Engineering and Computing, Croatia
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Enhanced geothermal system
economic assessment
environmental assessment
multi-criteria analysis
decision-making tool
<p>This paper presents the main features of a Decision-Making Support Tool for Optimal Usage of Geothermal Energy (DMS-TOUGE) that is being developed for enhanced geothermal systems projects which will be able to economically and environmentally assess such investments and value cost of their integration into the energy systems by comparing different technology alternatives. The optimal long-term operating plans of enhanced geothermal systems will be investigated and presented for a particular site. The tool examines the enhanced geothermal systems projects in a holistic way considering: technology details, geothermal site characteristics, energy prices, and spatial data, social impact, and environmental impact. The decisions of the tool will be the results of a multiple-criteria decision-making analysis where the performance of a technology is assessed on credible criteria.</p>
Zenodo
2019-06-14
info:eu-repo/semantics/conferencePaper
3520824
user-eu_project_meet
user-eu
award_title=Multidisciplinary and multi-context demonstration of EGS exploration and Exploitation Techniques and potentials; award_number=792037; award_identifiers_scheme=url; award_identifiers_identifier=https://cordis.europa.eu/projects/792037; funder_id=00k4n6c32; funder_name=European Commission;
1579528140.084858
546842
md5:6cc1479e9c911cecf8670c69203dd26f
https://zenodo.org/records/3520825/files/2019_06_MEET_EGC_Raos_et_al.pdf
public
10.5281/zenodo.3520824
isVersionOf
doi