Investigation of the Impact of Flow on MHD Perturbations with the NIMROD Code (Final Report)
DOE
Key Details
- Posted Date
- Source
- doe_osti
Description
This work will enable improved understanding of tokamak edge flows and impurity-species dynamics and their impact on MHD stability as it relates to ELMs, RMPs and QH-mode by leveraging computational developments of the NIMROD code. Experimentally, it is established that the tokamak flows and impurities species can have a substantial effect on MHD stability. This is particularly true for the edge plasma where, for example, large flow shear is correlated with the occurrence of the Quiescent H-mode (QH- mode) state as opposed to operation with edge localized modes (ELMs). Understanding plasma flows is challenging because of the many physical effects that come into play: particle orbits loss, neutrals dynamics, and interaction between multiple ion species with decoupled motion. We will develop a model that incorporates multiple ion species into the MHD framework that includes self-consistent magnetic-field evolution. With this model we will understand how the presence of impurities impacts the tokamak edge-pedestal flows. Finally, we will quantify the impact of the new multiple species modeling on 3D QH-mode simulations. This work will have broader impacts on all MHD studies when multiple species are present (as is the case in modern tokamaks), as well as contributing to the edge and transport communities who also are interested in the studies of multiple-ion-species flows in the edge pedestal region.. Authors: King, Jacob R. [Tech-X Corporation, Boulder, CO (United States)]. DOE Contract: SC0018311. Subjects: ELM Free Regimes; Extended MHD Modeling; Multispecies Modeling; Plasma-Neutral Modeling; Quiescent H-mode
Frequently Asked Questions
Is this research still open?+
How do I apply for this research?+
Intelligence
- Win probability analysis
- Competitive landscape
- Incumbent analysis
- Price-to-win estimate
- Similar awards history
Explore Related
Data sourced from doe_osti