ASTI: Data assimilation system for particle and heat transport in toroidal plasmas
ASTI: Data assimilation system for particle and heat transport in toroidal plasmas
复制标题
DOI：
10.1016/j.cpc.2022.108287
复制
发表时间：
2022-01-18
影响因子：
6.3
通讯作者：
Ueno, G.
中科院分区：
文献类型：
--
作者：
Morishita, Y.;Murakami, S.;Ueno, G.
阿斯蒂是一个用于聚变等离子体输运综合模拟的数据同化系统，用于预测和控制聚变等离子体的行为。阿斯蒂采用集合卡尔曼滤波（EnKF）和平滑（EnKS）的数据同化方法和集成传输模拟程序的螺旋聚变等离子体，TASK3D，作为系统模型。阿斯蒂同化的时间序列数据的测量温度和密度径向分布到粒子和热传输模拟。在这项研究中，我们考虑的不确定性包括在密度，温度，输运模型，中性束注入（NBI）加热模型，和粒子源模型。将阿斯蒂应用于大螺旋装置（LHD）中NBI加热等离子体的12个实验数据集，考察了阿斯蒂的估计有效性和预测性能。得到的径向分布和时间演化的密度，电子温度和离子温度符合实验数据集。与以往的聚变等离子体综合模拟相比，ASTI实现了更快、更精确的综合输运模拟。(C)2022爱思唯尔有限公司版权所有。
ASTI, a data assimilation system for integrated transport simulation of fusion plasma, has been developed to predict and control the fusion plasma behavior. ASTI employs the ensemble Kalman filter (EnKF) and smoother (EnKS) as data assimilation methods and the integrated transport simulation code for helical fusion plasma, TASK3D, as the system model. ASTI assimilates the time-series data of measured temperature and density radial profiles into the particle and heat transport simulation. In this study, we consider the uncertainties included in the density, temperature, transport model, neutral beam injection (NBI) heating model, and particle source model. We apply ASTI to 12 experimental data sets of the NBI-heated plasma in Large Helical Device (LHD) and investigate the validity of estimation and the prediction performance of ASTI. The obtained radial profile and time evolution of density, electron temperature, and ion temperature agree well with the experimental data sets. Faster and more accurate integrated transport simulation is realized byASTI than the previous integrated simulation of fusion plasmas. (C) 2022 Elsevier B.V. All rights reserved.