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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,该系统将促进快速和真实的时间响应,并考虑到人为因素,同时根据相关标准分析模型、监测技术、安全和应急系统以及SMR集成。拟议项目将研究综合数字控制系统,包括以下细节:(a)数字控制设计、输入、输出、可视化和技术;(B)与SMR现场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、存储和其他应用集成的状态变量;(f)集成数字控制的联合仿真,以基于SMR操作条件的数量提供不同场景的评估,以支持操作;(g)与SMR设计和数字控制操作以及系统和人为因素相关的标准;(h)安全性、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现。建议的集成数字控制室将使用联合仿真,监控,可视化和数据分析进行演示,以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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