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Study of New Designs of Digital Control Room for SMR Deployments with Human Performance Considerations

Study of New Designs of Digital Control Room for SMR Deployments with Human Performance Considerations
考虑人的绩效的 SMR 部署数字控制室新设计研究
批准号:
580478-2022
负责人:
Gaber, HossamHE
金额:
$8.45万
依托单位国家:
加拿大
项目类别:
Alliance Grants
财政年份:
2022
资助国家:
加拿大
项目状态:
已结题
起止时间:
2022-01-01 至 2023-12-31

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中文摘要
翻译
SMR的部署将需要新的数字控制系统,该系统将在分析模型、监测技术、安全和应急系统以及SMR相关标准集成的同时,促进快速和实时的响应,同时考虑人为因素。建议项目将研究集成数字控制系统的细节:(a)数字控制设计、输入、输出、可视化和技术;(b)与小堆场址有关的环境状态变量和监测系统;(c)人的状态变量,包括物理和心理模型、人的可靠性、性能和监测系统;(d) SMR过程状态变量,包括物理系统模型;(e) SMR与电网、可再生能源、储能和其他应用集成的状态变量;(f)联合模拟,以整合数码控制,根据多个小型堆的运作情况,提供不同情况的评估,以支援运作;(g)与小型反应堆的设计、数字控制和系统的操作以及人为因素有关的标准;(h)安全、可靠性和紧急状态变量和监控系统及其在数字控制系统中的实施。提出的集成数字控制室将使用联合仿真、监控、可视化和数据分析来评估不同的设计技术和操作场景。
英文摘要
The deployments of SMR will require new digital control system that will facilitate fast and real time responses with considerations of human factors while analyzing models, monitoring techniques, safety and emergency systems, and SMR integrations in view of related standards. The proposed project will study the integrated digital control system with these details: (a) digital control design, inputs, outputs, visualization, and technologies; (b) environmental state variables and monitoring systems related to the SMR site; (c) human state variables including physical and mental models, human reliability, performance, and monitoring systems; (d) SMR process state variables, including physical system models; (e) state variables of SMR integration with the grid, renewables, storage, and other applications; (f) co-simulation to integrate the digital control to provide evaluation of different scenarios based on number of SMR operating conditions to support operation; (g) standards related to SMR design and operation of digital control and systems and human factors; (h) safety, reliability, and emergency state variables and monitoring systems and their implementations within the digital control system. The proposed integrated digital control room will be demonstrated using co-simulation, monitoring, visualization, and data analytics to evaluate different design technologies, and operation scenarios.
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