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FEDERAL OFFICE FOR THE SECURITY OF NUCLEAR DISPOSAL has floated a tender for 4725f10701 - Prognostic Options for Nature -related Effects from Outside (eva) with Artificial Intelligence on the End Bearing in the Operating Phase (peak). The project location is Germany and the tender is closing on 15 Oct 2025. The tender notice number is Z5-BASE62220/4725F10701, while the TOT Ref Number is 125001654. Bidders can have further information about the Tender and can request the complete Tender document by Registering on the site.
Procurement Summary
Country: Germany
Summary: 4725f10701 - Prognostic Options for Nature -related Effects from Outside (eva) with Artificial Intelligence on the End Bearing in the Operating Phase (peak)
Deadline: 15 Oct 2025
Other Information
Notice Type: Tender
TOT Ref.No.: 125001654
Document Ref. No.: Z5-BASE62220/4725F10701
Financier: Self Financed
Purchaser Ownership: Public
Tender Value: Refer Document
Purchaser's Detail
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Login to see detailsTender Details
As part of the location selection for a repository for highly radioactive waste (HAW) in Germany, there is a need for provision to take place against locations-specific nature-related effects from outside (EVA) on the repository during the operating phase. These EVA are to be identified, evaluated and weighing up their forecast options, here artificial intelligence (AI) can support.
The primary goal of the Peak project is to obtain knowledge of the available and in use national and international AI-based forecast methods for EVA in the operating phase of a HAW end. The use of these methods, including For real-time monitoring and warning as well as the associated scenarios analysis and the simulation of corresponding effects of selected events, must be shown and evaluated in national and international (repository) projects. Finally, these AI-based methods must be examined in the context of a SWOT analysis with regard to their strengths, weaknesses, opportunities and risks of the approaches used.
The findings from the Peak project are in the course of the location selection process for the evaluation of the Sachs ...
Process: Berlin
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