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.

世界上近三分之一的现有核电站寿命超过30年，平均寿命为27年。其中大量将不得不在不久的将来退役，这个过程需要安全管理。具体到安大略省，安大略发电公司 (OPG) 将于 2025 年开始退役皮克林设施，预计需要大约 40 年才能完成。退役过程中的各个中间阶段包括安全储存、转移到临时废物管理设施、设施的物理拆除以及将燃料转移到场外更永久的储存设施。竣工条件的三维语义丰富模型（通常称为建筑信息模型）可以成为解构规划以及自动化和半自动化拆除活动的强大工具。此次合作的主要目标是开发数字工作流程，其中包括针对核设施关键退役活动的数据收集平台、方法和决策支持工具。 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，以便快速实现核资产数字化并跟踪其退役期间的演变； (ii) 开发对退役期间产生的废物进行最佳包装的算法和工作流程，并开发可视化工具来帮助包装过程； (iii) 开发非破坏性方法来分析混凝土中的激活深度，并使用条件数据对象增强数字模型。最终，这些活动的目标是系统化的退役管理和减少对人类的总体辐射暴露。大部分预算将用于培训高素质人才，即硕士生和博士生。