Author:
Kurgyis Kata,Achtziger-Zupančič Peter,Bjorge Merle,Boxberg Marc S.,Broggi Matteo,Buchwald Jörg,Ernst Oliver G.,Flügge Judith,Ganopolski Andrey,Graf Thomas,Kortenbruck Philipp,Kowalski Julia,Kreye Phillip,Kukla Peter,Mayr Sibylle,Miro Shorash,Nagel Thomas,Nowak Wolfgang,Oladyshkin Sergey,Renz Alexander,Rienäcker-Burschil Julia,Röhlig Klaus-Jürgen,Sträter Oliver,Thiedau Jan,Wagner Florian,Wellmann Florian,Wengler Marc,Wolf Jens,Rühaak Wolfram
Abstract
AbstractThe 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.
Funder
Federal Company for Radioactive Waste Disposal, Germany
Technische Universität Bergakademie Freiberg
Publisher
Springer Science and Business Media LLC
Reference45 articles.
1. BGE (2020) Zwischenbericht Teilgebiete gemäß §13 StandAG. Technical report, Bundesgesellschaft für Endlagerung mbH. www.bge.de/de/endlagersuche/zwischenbericht-teilgebiete/
2. BGE (2022a) Konrad repository. www.bge.de/en/konrad/. Last access: 26 Oct 2022
3. BGE (2022b) Zeitliche Betrachtung des Standortauswahlverfahrens aus Sicht der BGE. Technical report, Bundesgesellschaft für Endlagerung mbH. https://www.bge.de/fileadmin/user_upload/Standortsuche/Wesentliche_Unterlagen/05_-_Meilensteine/Zeitliche_Betrachtung_des_Standortauswahlverfahrens_2022/20221216_Zeitliche_Betrachtung_StandAW-48_barrierefrei.pdf
4. Bittens MR, Gates RL (2023) DistributedSparseGrids.jl: a julia library implementing an adaptive sparse grid collocation method. J Open Source Softw. https://doi.org/10.21105/joss.05003
5. Bjorge M, Kreye P, Heim E, Wellmann F, Rühaak W (2022) The role of geological models and uncertainties in safety assessments. Environ Earth Sci. https://doi.org/10.1007/s12665-022-10305-z
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献