Preliminary Analysis of Remote Monitoring & Robotic Concepts for Performance Confirmation (1997)

As defined in 10 CFR Part 60.2, Performance Confirmation is the ''program of tests, experiments and analyses which is conducted to evaluate the accuracy and adequacy of the information used to determine with reasonable assurance that the performance objectives for the period after permanent closure will be met''. The overall Performance Confirmation program begins during site characterization and continues up to repository closure. The main purpose of this document is to develop, explore and analyze initial concepts for using remotely operated and robotic systems in gathering repository performance information during Performance Confirmation. This analysis focuses primarily on possible Performance Confirmation related applications within the emplacement drifts after waste packages have been emplaced (post-emplacement) and before permanent closure of the repository (preclosure). This will be a period of time lasting approximately 100 years and basically coincides with the Caretaker phase of the project. This analysis also examines, to a lesser extent, some applications related to Caretaker operations. A previous report examined remote handling and robotic technologies that could be employed during the waste package emplacement phase of the project (Reference 5.1). This analysis is being prepared to provide an early investigation of possible design concepts and technical challenges associated with developing remote systems for monitoring and inspecting activities during Performance Confirmation. The writing of this analysis preceded formal development of Performance Confirmation functional requirements and program plans and therefore examines, in part, the fundamental Performance Confirmation monitoring needs and operating conditions. The scope and primary objectives of this analysis are to: (1) Describe the operating environment and conditions expected in the emplacement drifts during the preclosure period. (Presented in Section 7.2). (2) Identify and discuss the main Performance Confirmation monitoring needs and requirements during the post-emplacement preclosure period. This includes radiological, non-radiological, host rock, and infrastructure performance monitoring needs. It also includes monitoring for possible off-normal events. (Presented in Section 7.3). (3) Identify general approaches and methods for obtaining performance information from within the emplacement drifts for Performance Confirmation. (Presented in Section 7.4) (4)Review and discuss available technologies and design strategies that may permit the use of remotely operated systems within the hostile thermal and radiation environment expected within the emplacement drifts. (Presented in Section 7.5). (5) Based on Performance Confirmation monitoring needs and available technologies, identify potential application areas for remote systems and robotics for post-emplacement preclosure Performance Confirmation activities (Presented in Section 7.6). (6) Develop preliminary remote monitoring and robotic concepts for post-emplacement, preclosure Performance Confirmation activities. (Presented in Section 7.7) This analysis is being performed very early in the systems engineering cycle, even as issues related to the Performance Confirmation program planning phase are being formulated and while the associated needs, constraints and objectives are yet to be fully determined and defined. This analysis is part of an issue formulation effort and is primarily concerned with identification and description of key issues related to remotely monitoring repository performance for Performance Confirmation. One of the purposes of this analysis is to provide an early investigation of potential design challenges that may have a high impact on future design concepts. This analysis can be used to guide future concept development and help access what is feasible and achievable by application of remote systems technology. Future design and systems engineering analysis with applicable iterations of modeling, optimizing, ranking and refinement of concepts will be needed to arrive at optimal design concepts.