Uncertainties and robustness with regard to the safety of a repository for high-level radioactive waste: introduction of a research initiative

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作者
Kata Kurgyis
Peter Achtziger-Zupančič
Merle Bjorge
Marc S. Boxberg
Matteo Broggi
Jörg Buchwald
Oliver G. Ernst
Judith Flügge
Andrey Ganopolski
Thomas Graf
Philipp Kortenbruck
Julia Kowalski
Phillip Kreye
Peter Kukla
Sibylle Mayr
Shorash Miro
Thomas Nagel
Wolfgang Nowak
Sergey Oladyshkin
Alexander Renz
Julia Rienäcker-Burschil
Klaus-Jürgen Röhlig
Oliver Sträter
Jan Thiedau
Florian Wagner
Florian Wellmann
Marc Wengler
Jens Wolf
Wolfram Rühaak
机构
[1] Institut für Geotechnik,Department Umweltinformatik
[2] Technische Universität Bergakademie Freiberg,Fakultät für Mathematik
[3] Fraunhofer Research Institution for Energy Infrastructures and Geothermal Systems IEG,Abteilung Erdsystemanalyse
[4] Lehrstuhl für Ingenieur- und Hydrogeologie,Institut für Strömungsmechanik und Umweltphysik im Bauwesen
[5] Rheinisch-Westfälische Technische Hochschule Aachen,Energie
[6] Bundesgesellschaft für Endlagerung mgH, und mineralische Ressourcen Gruppe
[7] Chair of Methods for Model-based Development in Computational Engineering,Institut für Wasser
[8] Rheinisch-Westfälische Technische Hochschule Aachen, und Umweltsystemmodellierung (LS3/SimTech)
[9] Geophysical Imaging and Monitoring,Institut für Endlagerforschung
[10] Rheinisch-Westfälische Technische Hochschule Aachen,Fachbereich Maschinenbau, Arbeits
[11] Institut für Risiko und Zuverlässigkeit, und Organisationspsychologie
[12] Gottfried Wilhelm Leibniz Universität Hannover,Lehrstuhl für Numerische Geowissenschaften, Geothermie und Reservoirgeophysik
[13] Helmholtz Zentrum für Umweltforschung,undefined
[14] Technische Universität Chemnitz,undefined
[15] Bereich Endlagerung,undefined
[16] Gesellschaft für Anlage- und Reaktorsicherheit gGmbH,undefined
[17] Potsdam-Institut für Klimafolgenforschung,undefined
[18] Gottfried Wilhelm Leibniz Universität Hannover,undefined
[19] Rheinisch-Westfälische Technische Hochschule Aachen,undefined
[20] Bundesanstalt für Geowissenschaften und Rohstoffe,undefined
[21] Universität Stuttgart,undefined
[22] Technische Universität Clausthal,undefined
[23] Universität Kassel,undefined
[24] Rheinisch-Westfälische Technische Hochschule Aachen,undefined
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关键词
Nuclear waste disposal; Repository research; Uncertainty management; Safety investigations; Radionuclide transport;
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摘要
The Federal Company for Radioactive Waste Disposal (BGE mbH) is tasked with the selection of a site for a high-level radioactive waste repository in Germany in accordance with the Repository Site Selection Act. In September 2020, 90 areas with favorable geological conditions were identified as part of step 1 in phase 1 of the Site Selection Act. Representative preliminary safety analyses are to be carried out next  to support decisions on the question, which siting regions should undergo surface-based exploration. These safety analyses are supported by numerical simulations building on geoscientific and technical data. The models that are taken into account are associated with various sources of uncertainties. Addressing these uncertainties and the robustness of the decisions pertaining to sites and design choices is a central component of the site selection process. In that context, important research objectives are associated with the question of how uncertainty should be treated through the various data collection, modeling and decision-making processes of the site selection procedure, and how the robustness of the repository system should be improved. BGE, therefore, established an interdisciplinary research cluster to identify open questions and to address the gaps in knowledge in six complementary research projects. In this paper, we introduce the overall purpose and the five thematic groups that constitute this research cluster. We discuss the specific questions addressed as well as the proposed methodologies in the context of the challenges of the site selection process in Germany. Finally, some conclusions are drawn on the potential benefits of a large method-centered research cluster in terms of simulation data management.
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