The 79th JSAP Autumn Meeting, 2018

Presentation information

Symposium (Oral)

Symposium » Plasma Informatics - Development of Plasma Science by Taking Advantage of Big Data and Analytics

[19p-141-1~8] Plasma Informatics - Development of Plasma Science by Taking Advantage of Big Data and Analytics

Wed. Sep 19, 2018 1:30 PM - 5:15 PM 141 (141+142)

Takayuki Ohta(Meijo Univ.), Kazunori Koga(Kyushu Univ.)

4:30 PM - 5:00 PM

[19p-141-7] An attempt for thermal transport modelling of fusion plasmas based on statistical approach

Masayuki Yokoyama Yokoyama1,2 (1.NINS, NIFS, 2.SOKENDAI)

Keywords:fusion plasma, thermal transport modelling, statistical approach

A statistical approach has been attempted for the thermal transport modelling for plasmas in fusion experiment. It can provide regression expressions for the heat diffusivities, to be valuable for predicting the temperature profile evolution. This approach should outstrip the conventional scaling laws for the global confinement time 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, TASK3D-a, to the LHD (Large Helical Device) experiment at NIFS (National Institute for Fusion Science). After the first attempt that was published in Ref. [1], the validity check of the obtained regression expression for the ion heat diffusivity profiles has been made through its implementation into the predictive TASK3D calculations to be compared with several LHD experimental results. Furthermore, the improvement for statistical treatment has been promoted by establishing collaborations with experts in statistics. The first attempt and the successive progress will be reported in the workshop, as one of possible and innovative “data-driven” approaches “ in fusion research.