In this work, L-mode analyses are performed in order to assess a modeling framework for the prediction of electron cyclotron resonant heating (ECRH) -assisted current ramp-up phases for JT-60SA tokamak hybrid scenario #4-2. We compare two turbulence transport models, CDBM and TGLF, using the integrated modeling code CRONOS. Model validation is performed on the basis of an L-mode ramp-up phase in a JET plasma, and a flat-top L-mode TCV (Tokamak a configuration variable) plasma with applied ECRH. Parameter scans in and in-edge electron temperature (T _e ) are performed. Our results indicate effective prediction of the q profile in JET ramp-up if edge T _e is properly captured. Indeed, our sensitivity scan demonstrates the strong impact of edge T _e on q profile evolution. The results of CDBM and TGLF modeling show good agreement with the experimental measurements. With respect to a JT-60SA hybrid scenario, a significant amount of ECRH off-axis is required to maintain a q profile above unity across the entire plasma radius. Based on an analysis of power deposition location, we find that ECRH applied close to ρ = 0.33 allows a compromise between a q profile larger than unity, and high central T _e . We evaluate two current ramp-up rates, where the fast rate is double that of the slower rate. The quantity of ECRH required for the fast ramp scenario is found to be greater by almost a factor of two than that required in the slow ramp scenario.

在这项工作中，执行L模式分析以评估用于JT-60SA托卡马克混合动力方案＃4-2的电子回旋共振加热（ECRH）辅助电流加速阶段的预测的建模框架。我们使用集成的建模代码CRONOS比较了两种湍流传输模型CDBM和TGLF。基于JET等离子体中的L模式加速阶段和应用了ECRH的平顶L模式TCV（Tokamak配置变量）等离子体进行模型验证。进行参数扫描和边缘电子温度（T _e）。我们的结果表明，如果边缘为T _e，则可以有效预测JET加速中的q轮廓 被正确捕获。确实，我们的灵敏度扫描证明了边缘T _e对q轮廓演变的强烈影响。CDBM和TGLF建模的结果与实验测量结果吻合良好。对于JT-60SA混合方案，需要大量ECRH离轴，以使q轮廓在整个等离子体半径上保持大于1的统一性。基于对功率沉积位置的分析，我们发现ECRH接近ρ  = 0.33时，可以在大于一的q分布和较高的中心T _e之间做出折衷 。我们评估了两个当前的上升速率，其中快速速率是较慢速率的两倍。发现快速斜坡方案所需的ECRH数量比缓慢斜坡方案所需的ECRH几乎大两倍。