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arXiv 2411.09232physics.plasm-ph
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谱加速的边缘与刮削层回转动理学湍流模拟

Spectrally Accelerated Edge and Scrape-Off Layer Gyrokinetic Turbulence Simulations

B. J. Frei, P. Ulbl, J. Trilaksono, F. Jenko

AI总结:

本文在full-f GK代码GENE-X中首次采用速度空间谱方法加速边缘与刮削层湍流模拟,在TCV-X21案例中实现约50倍加速并保持高保真度,使中型装置的高效GK模拟成为可能。

摘要:

本文提出了在full-f GK代码GENE-X中,由速度空间谱方法加速的边缘与刮削层(SOL)湍流的首次回转动理学(GK)模拟。在原始网格速度空间离散化的基础上,我们推导并实现了一种新的谱公式,并使用制造解法验证了数值实现。我们进行了一系列谱湍流模拟,重点关注TCV-X21参考案例[Oliveira D. S. et al., Nucl. Fusion 62, 096001 (2022)],并将这些结果与先前验证过的网格模拟[Ulbl P. et al., Phys. Plasmas 30, 107986 (2023)]进行比较。谱方法以极好的一致性和显著更低的速度空间分辨率重现了由捕获电子模(TEM)湍流主导的外侧中平面(OMP)分布(密度、温度和径向电场)。因此,谱方法将计算成本降低了至少一个数量级,在TCV-X21案例中实现了约50倍的加速。这使得在基于现代CPU的超算上,能够在几天内对中型装置执行高保真GK模拟,并确立了GENE-X作为研究边缘与SOL湍流的强大工具,向ITER等反应堆相关装置迈进。

英文摘要:

This paper presents the first gyrokinetic (GK) simulations of edge and scrape-off layer (SOL) turbulence accelerated by a velocity-space spectral approach in the full-f GK code GENE-X. Building upon the original grid velocity-space discretization, we derive and implement a new spectral formulation and verify the numerical implementation using the method of manufactured solution. We conduct a series of spectral turbulence simulations focusing on the TCV-X21 reference case [Oliveira D. S. et al., Nucl. Fusion 62, 096001 (2022)] and compare these results with previously validated grid simulations [Ulbl P. et al., Phys. Plasmas 30, 107986 (2023)]. The spectral approach reproduces the outboard midplane (OMP) profiles (density, temperature, and radial electric field), dominated by trapped electron mode (TEM) turbulence, with excellent agreement and significantly lower velocity-space resolution. Thus, the spectral approach reduces the computational cost by at least an order of magnitude, achieving a speed-up of approximately 50 for the TCV-X21 case. This enables high-fidelity GK simulations to be performed within a few days on modern CPU-based supercomputers for medium-sized devices and establishes GENE-X as a powerful tool for studying edge and SOL turbulence, moving towards reactor-relevant devices like ITER.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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