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Optimisation of confinement in a fusion reactor using a nonlinear turbulence model

机译:非线性湍流模型优化融合反应器中的限制

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The confinement of heat in the core of a magnetic fusion reactor is optimised using a multidimensional optimisation algorithm. For the first time in such a study, the loss of heat due to turbulence is modelled at every stage using first-principles nonlinear simulations which accurately capture the turbulent cascade and large-scale zonal flows. The simulations utilise a novel approach, with gyrofluid treatment of the small-scale drift waves and gyrokinetic treatment of the large-scale zonal flows. A simple near-circular equilibrium with standard parameters is chosen as the initial condition. The figure of merit, fusion power per unit volume, is calculated, and then two control parameters, the elongation and triangularity of the outer flux surface, are varied, with the algorithm seeking to optimise the chosen figure of merit. A twofold increase in the plasma power per unit volume is achieved by moving to higher elongation and strongly negative triangularity.
机译:使用多维优化算法优化磁性熔体反应器的核心中的热量的限制。 在这样的研究中首次,使用湍流导致的热量丧失在每个阶段使用的第一原理是非线性模拟,该非线性模拟精确地捕获湍流级联和大规模区域流动。 该模拟利用了一种新的方法,对陀螺流体处理小规模漂移波和大规模区域流动的旋转处理。 选择具有标准参数的简单近圆形平衡作为初始条件。 计算优点,每单位音量的融合功率,然后改变两个控制参数,外部通量表面的伸长和三角形,随着算法寻求优化所选择的优点图。 通过移动到更高的伸长率和强负三角度,实现了每单位体积的等离子体功率的两倍增加。

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