P Klaywittaphat, T Onjun. Scaling of the density peak with pellet injection in ITER[J]. Plasma Science and Technology, 2012, 14(12): 1035-1040. DOI: 10.1088/1009-0630/14/12/01
Citation:
P Klaywittaphat, T Onjun. Scaling of the density peak with pellet injection in ITER[J]. Plasma Science and Technology, 2012, 14(12): 1035-1040. DOI: 10.1088/1009-0630/14/12/01
P Klaywittaphat, T Onjun. Scaling of the density peak with pellet injection in ITER[J]. Plasma Science and Technology, 2012, 14(12): 1035-1040. DOI: 10.1088/1009-0630/14/12/01
Citation:
P Klaywittaphat, T Onjun. Scaling of the density peak with pellet injection in ITER[J]. Plasma Science and Technology, 2012, 14(12): 1035-1040. DOI: 10.1088/1009-0630/14/12/01
School of Manufacturing Systems and Mechanical Engineering, Sirindhorn International Institute of Technology, Thammasat University, Pathum Thani, 12121, Thailand
Funds: supported by the National Research University Project of Thailand Office of Higher Education Commission, the Thailand Institute of Nuclear Technology, and the Low Carbon Scholarship for SIIT Graduate Students.
Scalings of the density peak and pellet penetration length in ITER are developed based on simulations using 1.5D BALDUR integrated predictive modeling code. In these simulations, the pellet ablation is described by the Neutral Gas Shielding (NGS) model with grad-B drift effect taken into account. The NGS pellet model is coupled with a plasma core transport model, which is a combination of an MMM95 anomalous transport model and an NCLASS neoclassical transport model. The BALDUR code with a combination of MMM95 and NCLASS models, together with the NGS model, is used to simulate the time evolution of plasma current, ion and electron temperatures, and density profiles for ITER standard type I ELMy H-mode discharges during the pellet injection. As a result, the scaling of the density peak and pellet penetration length at peak density can be established using this set of predictive simulations that covers a wide range of ITER plasma conditions and pellet parameters. The multiple regression technique is utilized in the development of the scaling. It is found that the scaling for density at center is sensitive to both the plasma and pellet parameters; whereas the scaling for density and location of the additional peak is sensitive to the pellet parameters only.