A Statistical Approach for Predicting Thermal Diffusivity Profiles in Fusion Plasmas as a Transport Model
A Statistical Approach for Predicting Thermal Diffusivity Profiles in Fusion Plasmas as a Transport Model
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作为输运模型预测聚变等离子体热扩散率分布的统计方法
DOI:
10.1585/pfr.9.1302137
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发表时间:
2014
期刊:
影响因子:
--
通讯作者:
M. Yokoyama
中科院分区:
文献类型:
--
作者:
M. Yokoyama
A statistical approach is proposed to predict thermal diffusivity profiles as a transport “model” in fusion plasmas. It can provide regression expressions for the ion and electron heat diffusivities (χi and χe), separately, to construct their radial profiles. An approach that this letter is proposing outstrips the conventional scaling laws for the global confinement time (τE) since it also deals with profiles (temperature, density, heating depositions etc.). This approach has become possible with the analysis database accumulated by the extensive application of the integrated transport analysis suite to experiment data. In this letter, TASK3D-a [M. Yokoyama et al., Plasma Fusion Res. 9, 3402017 (2014)] analysis database for high-ion-temperature (high-Ti) plasmas [H. Takahashi et al., Nucl. Fusion 53, 073034 (2013)] in the LHD (Large Helical Device) [O. Kaneko et al., Nucl. Fusion 53, 104015 (2013)] is used as an example to describe an approach.