Parameter identification and state estimation for nuclear reactor operation digital twin
Parameter identification and state estimation for nuclear reactor operation digital twin
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核反应堆运行数字孪生参数识别与状态估计
DOI：
10.1016/j.anucene.2022.109497
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发表时间：
2022-10-14
影响因子：
1.9
通讯作者：
Li, Qing
中科院分区：
文献类型：
--
作者：
Gong, Helin;Zhu, Tao;Li, Qing
反应堆运行数字孪生系统（RODT）是核工程领域日益关注和投入的研究课题。RODT原型由中国核动力研究院龚等人首次提出。RODT包含用于在线实时仿真的正向求解器和用于参数识别和状态估计的逆问题求解器。为了进一步提高RODT的效率和精度，促进RODT的实用化部署，本文首先提出了一种改进的差分进化算法来升级逆解器;然后提出了一种考虑同化噪声观测的RODT不确定性量化方法。在HPR 1000的沿着一个循环运行阶段，在不同的运行温度、控制棒步距、总功率水平和实际堆芯入口温度下，对所提出的RODT的准确性和有效性进行了测试。大量的数值结果证实了它的潜在的实际工程应用的在线参数识别和状态估计。
Reactor Operation Digital Twin (RODT) is now receiving increasing attention and investment in nuclear engineering domain. A prototype of a RODT was first brought out by Gong et al. at Nuclear Power Institute of China. The RODT contains a forward solver for online real-time simulation and an inverse problem solver for parameter identification and state estimation. To further improve the efficiency and accuracy of RODT and promote the practical deployment of RODT (i) we first propose an advanced differential evolution algorithm to upgrade the inverse solver; (ii) then we bring out a systematical uncertainty quantification of RODT considering assimilation noisy observations. The accuracy and validity of the proposed RODT are tested along one cycle operating stage of HPR1000, at various operating temperatures, control rod steps, general power level and the inlet temperature of a practical nuclear reactor core. Numerous numerical results confirm its potential for practical engineering applications for on-line parameter identification and state estimation.