LAPSE:2023.9904
Published Article
LAPSE:2023.9904
Site Selection for a Deep Geological Repository in Switzerland: The Role of Performance Assessment Modeling
Alexandros Papafotiou, Chao Li, Dominik Zbinden, Mohamed Hayek, Michael J. Hannon, Paul Marschall
February 27, 2023
Abstract
In the development of deep geological repositories (DGRs), performance assessment modeling is used to evaluate the integrity and performance of the engineered and geological barriers for thousands or millions of years of evolution of the disposal system. To evaluate the suitability of a site for a DGR, geoscientific data from dedicated site investigation programs are integrated into site-specific assessments. This paper presents the development and implementation of a modeling workflow aimed at comparing three potential siting areas for a DGR in Switzerland from the viewpoint of long-term safety and technical feasibility. The workflow follows the guidelines of the national regulator addressing safety relevant criteria such as the barrier efficiency of the host rock and its mechanical and chemical integrity in response to repository-induced influences and the long-term stability of the repository site over geological scales. In the regulatory requirements, the role of parametric, conceptual, and scenario uncertainty has been identified as an issue of special importance in the site selection process. The assessment approach comprises a portfolio of numerical models for the simulation of solute, gas and heat transport in the repository nearfield. The modeling was performed with deterministic as well as probabilistic variants integrated in an indicator-based approach that allows the consistent comparison of the candidate sites using quantitative dimensionless performance indices. The model-based assessment of the sites allows a traceable, transparent, and verifiable implementation of the site selection process.
Keywords
DGR, engineered barrier, geological barrier, HLW, L/ILW, long-term evolution, performance assessment, site selection, THM, uncertainty
Suggested Citation
Papafotiou A, Li C, Zbinden D, Hayek M, Hannon MJ, Marschall P. Site Selection for a Deep Geological Repository in Switzerland: The Role of Performance Assessment Modeling. (2023). LAPSE:2023.9904
Author Affiliations
Papafotiou A: INTERA Inc. Swiss Branch, Hardstrasse 73, CH-5430 Wettingen, Switzerland
Li C: INTERA Inc. Swiss Branch, Hardstrasse 73, CH-5430 Wettingen, Switzerland
Zbinden D: INTERA Inc. Swiss Branch, Hardstrasse 73, CH-5430 Wettingen, Switzerland
Hayek M: INTERA Inc. Swiss Branch, Hardstrasse 73, CH-5430 Wettingen, Switzerland
Hannon MJ: INTERA Inc., 101 W Kirkwood Av. Suite 134, Bloomington, IN 47401, USA
Marschall P: Nagra, Hardstrasse 73, CH-5430 Wettingen, Switzerland
Journal Name
Energies
Volume
15
Issue
17
First Page
6121
Year
2022
Publication Date
2022-08-23
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en15176121, Publication Type: Journal Article
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LAPSE:2023.9904
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https://doi.org/10.3390/en15176121
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Feb 27, 2023
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