Simulation analysis of ICRF heating scenarios for CFEDR

Abstract As a critical ion heating technique for future fusion reactors, Ion Cyclotron Range of Frequencies (ICRF) heating is an important auxiliary heating method. The China Fusion Engineering Demo Reactor (CFEDR) plans to inject 20 MW of ICRF power into the plasma for sustaining H-mode operation. In this study, two candidate minority heating schemes, 3 He minority heating (60 MHz) and H minority heating (90 MHz), are considered. Power deposition simulations have been carried out by using the TOMCAT code, including optimization of the minority ion concentration ( ), toroidal mode number ( ), and RF frequency ( ) of both heating schemes. The primary goal is to maximize the ion absorption ratio, and minimize electron absorption, thereby ensuring efficient core heating for CFEDR operation. It is shown that in the cases of and , and for 3 He minority heating ( for H minority heating), maximum power absorption can be achieved with the two main minority heating scenarios, in which ion absorption ratios exceed 70% for 3 He minority heating and 85% for H minority heating, respectively. During the plasma current ramp-up phase, RF power deposition on the minorities of 3 He is about 54%–74% and H is around 62%–85% with off-axis heating. In the flat-top phase, RF power is absorbed predominantly by ions and is on-axis heating. This study aims to optimize ICRF heating scenarios by maximizing ion absorption and ensuring central power deposition while minimizing electron damping losses.

Authors

Institutions

Publication Details

Journal
Plasma Science and Technology
Published
2025-08-25
DOI
https://doi.org/10.1088/2058-6272/adfef5
Citations
2
Primary Topic
High voltage insulation and dielectric phenomena
Type
article
Field-Weighted Citation Impact
1.04

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Simulation analysis of ICRF heating scenarios for CFEDR

Lunan Liu, Xiaojie Wang, Jun Chen, Zhengshuyan Wang et al.
2 citations
Plasma Science and Technology
High voltage insulation and dielectric phenomena
1.04
article

Simulation analysis of ICRF heating scenarios for CFEDR

Lunan Liu, Xiaojie Wang, Jun Chen, Zhengshuyan Wang, Chiun-Fan Chen, Yanqun Jiang, Yaoyao Guo, Rui Ding, Jiangang Li, Guoliang Xu, L. Ai, Wei Zhang, X. J. Zhang, Qin Chengming
article en
2 citations

Abstract

Abstract As a critical ion heating technique for future fusion reactors, Ion Cyclotron Range of Frequencies (ICRF) heating is an important auxiliary heating method. The China Fusion Engineering Demo Reactor (CFEDR) plans to inject 20 MW of ICRF power into the plasma for sustaining H-mode operation. In this study, two candidate minority heating schemes, 3 He minority heating (60 MHz) and H minority heating (90 MHz), are considered. Power deposition simulations have been carried out by using the TOMCAT code, including optimization of the minority ion concentration ( ), toroidal mode number ( ), and RF frequency ( ) of both heating schemes. The primary goal is to maximize the ion absorption ratio, and minimize electron absorption, thereby ensuring efficient core heating for CFEDR operation. It is shown that in the cases of and , and for 3 He minority heating ( for H minority heating), maximum power absorption can be achieved with the two main minority heating scenarios, in which ion absorption ratios exceed 70% for 3 He minority heating and 85% for H minority heating, respectively. During the plasma current ramp-up phase, RF power deposition on the minorities of 3 He is about 54%–74% and H is around 62%–85% with off-axis heating. In the flat-top phase, RF power is absorbed predominantly by ions and is on-axis heating. This study aims to optimize ICRF heating scenarios by maximizing ion absorption and ensuring central power deposition while minimizing electron damping losses.

Plasma Science and TechnologyVol. 27(10)
Hefei Institutes of Physical Science (CN), Institute of Plasma Physics (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 23%
High voltage insulation and dielectric phenomena
1.04
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.