We present a hybrid fluid–kinetic model for the hydrogenic atoms in the plasma edge that is implemented in SOLPS‐ITER. A micro–macro decomposition of the kinetic equation leads to a fluid model with a continuity and parallel momentum equation (implemented in B2.5) coupled to a kinetic correction equation (implemented in EIRENE). We assess the hybrid model for a high recycling fixed background plasma. The hybrid approach leads to a reduction of the Central Processing Unit(CPU) time required to obtain the same statistical error as the full kinetic Monte Carlo (MC) simulation with approximate factors of 1.7, 4.9, and 1.9 for the particle, parallel momentum, and electron energy source, respectively. However, there is an increase in CPU time for the ion energy source. By comparing the results with our in‐house plasma edge code, we conclude that the hybrid performance can be improved by adapting some default MC features in EIRENE.

中文翻译：

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SOLPS-ITER等离子边缘代码套件中基于微宏分解的流体动力学混合中性模型

我们提出了在SOLPS-ITER中实现的等离子体边缘氢原子的混合流体动力学模型。动力学方程的微观宏观分解导致流体模型具有连续性和平行动量方程（在B2.5中实现）与动力学校正方程（在EIRENE中实现）耦合。我们评估高回收率固定背景血浆的混合模型。混合方法可减少获得与全动力学蒙特卡洛（MC）模拟相同的统计误差所需的中央处理单元（CPU）时间，对于粒子，平行动量，近似因子分别为1.7、4.9和1.9，和电子能源。但是，离子能源的CPU时间增加了。通过将结果与我们的内部等离子边缘代码进行比较，