Python Application to Evaluate Stellarator Performance

POSTER

Abstract

The goal of this project is to create an interactive Python application to analyze and create visual representations of the performance of potential stellarator configurations. We use 0D scaling formulas used by Hammett et al. (2019), but the application is adaptable to more complex formulations. Our code provides a tool to explore the impact of changes in various parameters on stellarator efficiency. Our code generates optimized heating power estimate, volume averaged density, and helium concentration estimate values, which are then used to calculate a maximized fusion Q, and a minimized ISS-04 confinement multiplier within the design constraints of the proposed stellarator configuration. This tool is best used as a method to quickly and accurately identify and focus on attractive stellarator geometries.

*N/A

Publication: N/A

Presenters

  • Nastassia Patnaik

    • Brearley School
    • The Brearley School

Authors

  • Nastassia Patnaik

    • Brearley School
    • The Brearley School
  • William D Dorland

    • University of Maryland, College Park
    • Princeton Plasma Physics Laboratory
    • University of Maryland Department of Physics
    • UMD
  • Michael C Zarnstorff

    • Princeton Plasma Physics Laboratory
    • PPPL
  • Tony Qian

    • Princeton Plasma Physics Laboratory
    • PPPL
  • Santiago Lisa

    • Montgomery Blair High School
    • N/A
    • Montgomery Blair
    • Montgomery Blair HS
  • Nathaniel Stauffer

    • UMD
    • University of Maryland, College Park
    • University of Maryland
  • Wenxi Wu

    • University of Maryland,College Park
    • University of Maryland, College Park
    • UMD
    • U. of Maryland, College Park
    • University of Maryland
  • Chesson S. Sipling

    • Georgia Tech
    • Georgia Institute of Technology
  • Braden Buck

    • Purdue University
    • Purdue U.
    • Purdue Univ.
  • Sorah Fischer

    • CUNY
    • City College of New York
  • Brian X Jiang

    • Columbia University
    • Columbia U.
    • Columbia Univ.
  • Dominic Seidita

    • Princeton Plasma Physics Laboratory
    • Purdue University
    • Purdue U.