Digitization and asset information modelling to support nuclear power plant decommissioning

支持核电站退役的数字化和资产信息模型

• 批准号: 550113-2020
• 负责人: Narasimhan, Sriram
• 金额: $ 5.52万
• 依托单位: University of Waterloo
• 依托单位国家: 加拿大
• 项目类别: Alliance Grants
• 财政年份: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=701542
• 关键词: Digitization; asset; information; modelling; support

Nearly a third of the existing nuclear power plants in the world are over 30 years of age, with an average age of 27 years. A large number of them will have to be decommissioned in the near future, and this process needs to be safely managed. Specific to Ontario, Ontario Power Generation (OPG) will start decommissioning the Pickering facility in 2025, which is expected to take approximately 40 years to complete. Various intermediate stages in the decommissioning process consist of safe storage, transfer to a temporary waste management facility, physical demolition of the facility and transfer of fuel to more permanent storage off site. Three dimensional semantically enriched models of as-built conditions, popularly known as building information models, can be a powerful tool in de-construction planning and automated and semi-automated dismantling activities. The main goal of this partnership is to develop digital workflows consisting of data collection platforms, methodologies and decision support tools targeting key decommissioning activities for nuclear facilities. The main objectives of this proposal are to: (i) develop digital scanning and the attendant decision support tools in order to rapidly digitize nuclear assets and track their evolution during decommissioning; (ii) develop algorithms and work processes for optimal packing of waste produced during decommissioning and develop visualization tools to aid in the packing process; and (iii) develop non-destructive methods to profile the activation depth in concrete and augment digital models with condition data objects. Ultimately, these activities are targeted towards systematic decommissioning management and reducing the overall radiation exposure to humans. A majority of the requested budget will be used to train highly qualified personnel, namely MASc and PhD students.

世界上现有的核电站中有将近三分之一的年龄超过30岁，平均年龄为27岁。其中许多人必须在不久的将来退役，并且需要安全管理此过程。安大略省发电（OPG）特定于安大略省，将在2025年开始退役皮克林设施，预计将需要大约40年的时间才能完成。退役过程中的各种中级阶段包括安全存储，转移到临时废物管理设施，对设施的物理拆除以及将燃料转移到更永久的存储现场。在典型的构建信息模型中，三维语义上丰富的模型可以成为脱机计划以及自动化和半自动化的拆卸活动的强大工具。该伙伴关系的主要目标是开发由数据收集平台，方法和决策支持工具组成的数字工作流，该工具针对核设施的关键退役活动。 该提案的主要目标是：（i）开发数字扫描和随之而来的决策支持工具，以便快速数字化核资产并在退役期间跟踪其演变； （ii）开发算法和工作过程，以最佳的填充退役期间产生的废物，并开发可视化工具以帮助包装过程； （iii）开发出具有条件数据对象的混凝土和增强数字模型中的激活深度的非破坏性方法。最终，这些活动旨在系统地退役管理和减少对人类的整体辐射暴露。要求的大多数预算将用于培训高素质的人员，即MASC和博士生。