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首页> 外文期刊>Plasma physics and controlled fusion >Computation of Alfven eigenmode stability and saturation through a reduced fast ion transport model in the TRANSP tokamak transport code
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Computation of Alfven eigenmode stability and saturation through a reduced fast ion transport model in the TRANSP tokamak transport code

机译：通过TANSPOKAMAK运输代码中的减少的快速离子传输模型计算Alfven特征模型稳定性和饱和

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摘要

Alfvenic instabilities (AEs) are well known as a potential cause of enhanced fast ion transport in fusion devices. Given a specific plasma scenario, quantitative predictions of (i) expected unstable AE spectrum and (ii) resulting fast ion transport are required to prevent or mitigate the AEinduced degradation in fusion performance. Reduced models are becoming an attractive tool to analyze existing scenarios as well as for scenario prediction in time-dependent simulations. In this work, a neutral beam heated NSTX discharge is used as reference to illustrate the potential of a reduced fast ion transport model, known as kick model, that has been recently implemented for interpretive and predictive analysis within the framework of the time-dependent tokamak transport code TRANSP. Predictive capabilities for AE stability and saturation amplitude are first assessed, based on given thermal plasma profiles only. Predictions are then compared to experimental results, and the interpretive capabilities of the model further discussed. Overall, the reduced model captures the main properties of the instabilities and associated effects on the fast ion population. Additional information from the actual experiment enables further tuning of the model's parameters to achieve a close match with measurements.
机译：敏锐的稳定性（AES）是众所周知的融合装置中快速离子输送的潜在原因。考虑到特定的等离子体场景，需要（i）预期的不稳定AE光谱和（II）所产生的快速离子转运所需的定量预测，以防止或减轻融合性能中的产生抗菌性降解。减少模型正在成为分析现有场景的有吸引力的工具，以及在时间依赖模拟中的场景预测。在这项工作中，加热NSTX放电的中性光束用作参考来说明最近被称为踢球模型的减少的快速离子传输模型的电位，这已被最近在时间依赖于时间依赖于时间的Tokamak内的解释和预测分析传输代码Transp。首先基于给定的热等离子体型材首先评估AE稳定性和饱和幅度的预测能力。然后将预测与实验结果进行比较，并且进一步讨论了模型的解释能力。总的来说，减少的模型捕获了不稳定性的主要属性和对快速离子群的相关效果。实际实验中的其他信息可以进一步调整模型的参数，以实现与测量的紧密匹配。

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