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Enhanced Simulation Center for Fast Ion Transport

The Plasma Energetic Particle Simulation Center (PEPSC) aims to advance simulations of energetic particle-driven instabilities and transport with a focus on fast ion transport. The PEPSC team led by Guoyong Fu is working on upgrading codes, implementing advanced numerical methods, and applying simulations to experimental scenarios for validation. The plan includes using the M3D-K code, building a gyrokinetic/MHD hybrid code, exploring reduced models, and applying simulations to ITER for alpha particle-driven high-n.TAE scenarios.

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Enhanced Simulation Center for Fast Ion Transport

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  1. PEPSC Plan for Self-consistent Simulations of Fast Ion Transport with Source and Sink Guoyong Fu Princeton Plasma Physics Laboratory

  2. Plasma Energetic Particle Simulation Center (PEPSC) • PEPSC is an advanced simulation center for energetic particle-driven instabilities and energetic particle transport. • PEPSC Team PPPL: Guoyong Fu (PI), Stephane Ethier, Nikolai Gorelenkov, Jianying Lang, and Ravi Samtaney IFS: Herbert Berk (Co-PI), Boris Breizman, James Van Dam and Eugene Chen Univ. Colorado: Yang Chen (Co-PI), Scott Parker ORNL: Scott Klasky (Co-PI)

  3. PEPSC Plan (2008 – 2011) • Upgrade M3D-K code: extension to 3D domain decomposition for particles; add source and sink. (done!) • Build a new gyrokinetic/MHD hybrid code GKM (start from M3D-K) that uses gyrokinetic closure to include kinetic effects of thermal ions as well as energetic particles. • Implement advanced numerical methods: nonlinear implicit method, high-order finite elements, and workflow method. Also, optimize code speed. • Explore reduced models for comparison with GKM. • Apply codes to experiments for code validation and physics understanding. • Apply GKM to ITER for simulations of alpha particle-driven high-n TAEs.

  4. M3D-K simulations of fast ion-driven TAE with source and sink Jianying Lang slowing-down rate = no slowing-down slowing-down rate = Pitch angle Scattering rate

  5. Integrated Simulation with GKM + TRANSP Use TRANSP to evolve plasma equilibrium including NBI source; Use GKM to evolve fast ion distribution in the presence of Alfven modes. fNBI NBI source equilibrium TRANSP GKM TRANSP Because of time scale separation (i.e., mode saturation time << plasma confinement time), the equilibrium evolution and mode evolution can be computed sequentially.

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