TMSR-SF2全厂断电事故分析

钍基熔盐堆.固态燃料二号堆(ThoriumMoltenSaltReactor.SolidFuel2,TMSR—SF2)是基于球床熔盐堆SFl(SolidFuel1)的小型模块化升级堆型,这种新概念堆结合了两者的诸多优点,目前已经完成了预概念设计,对其进行典型事故的分析与安全特性的评估成为当前重要研究内容。本文基于Relap5/MOD4.0程序,建立了反应堆事故模型,进行了全厂断电事故的模拟,分析了反应性、反应堆功率、冷却剂温度和燃料温度等关键参数的变化规律。结果表明,SF2在全厂断电事故中具备高度安全性,其中固有安全性发挥了重要作用。此外还进行了全厂断电事故伴生不同事件的后果比对以及不同温度反...

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Bibliographic Details
Published in核技术 Vol. 40; no. 10; pp. 53 - 58
Main Author 徐博 邹杨 孙强 余笑寒
Format Journal Article
LanguageChinese
Published 中国科学院上海应用物理研究所嘉定园区 上海 201800 2017
中国科学院大学 北京 100049%中国科学院上海应用物理研究所嘉定园区 上海 201800
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ISSN0253-3219
DOI10.11889/j.0253-3219.2017.hjs.40.100601

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Summary:钍基熔盐堆.固态燃料二号堆(ThoriumMoltenSaltReactor.SolidFuel2,TMSR—SF2)是基于球床熔盐堆SFl(SolidFuel1)的小型模块化升级堆型,这种新概念堆结合了两者的诸多优点,目前已经完成了预概念设计,对其进行典型事故的分析与安全特性的评估成为当前重要研究内容。本文基于Relap5/MOD4.0程序,建立了反应堆事故模型,进行了全厂断电事故的模拟,分析了反应性、反应堆功率、冷却剂温度和燃料温度等关键参数的变化规律。结果表明,SF2在全厂断电事故中具备高度安全性,其中固有安全性发挥了重要作用。此外还进行了全厂断电事故伴生不同事件的后果比对以及不同温度反应性系数的敏感性分析,证明了直接反应堆辅助冷却系统(DirectReactorAuxiliaryCoolingSystem,DRACS)在事故前期余热排出能力的局限性,而依靠主泵可以最大限度利用熔盐堆的热惰性从而显著缓解熔盐堆堆芯过热。
Bibliography:31-1342/TL
Background: Thorium fluoride salt reactor - solid fuel 2 (TMSR-SF2) is a small module reactor (SMR) based on the experimental prototype SF1. Its concept design combines many outstanding characteristics from fluoride high temperature reactor (FHR), and brings in or enhances many more attractive features inspired from the small module idea. Purpose: This study aims to evaluate its operation performance and assess the safety limits during postulated transients. Methods: A preliminary analysis of station blackout (SBO) in SF2 is presented by using RELAPS/MOD4.0 code, relative hydraulic components have been equivalently modeled. Results: Modification result shows that an immediate safety shutdown can be obtained and guaranteed by strong thermal inertia while passive safety system based on natural circulation can maintain long term cooling of the reactor core and guarantee no server consequences and sufficient redundancy. Several postulated initiating events and sensitivity analyses coveting several react
ISSN:0253-3219
DOI:10.11889/j.0253-3219.2017.hjs.40.100601