Evaluating stellarator configurations in a Zero-D Python application

Evaluating the performance of a proposed plasma confinement device without physical testing is imperative to the viability of nuclear fusion. Their construction is far too expensive to justify investing in a poor design, and nontrivial simulation codes are currently too bulky to be run practically without the use of a supercomputer. The intent of this work is to develop a Python application that can meaningfully simulate stellarator transport with some simplifications that allow it to run quickly on a home desktop computer. We will discuss those simplifications, basis calculations, and any assumptions necessary to the function of the program. Our code finds values of heating power, volume averaged density, and helium concentration yield maximum Q and minimum ISS-04 H confinement scaling for a given stellarator configuration (defined by user input design parameters). We present extensions of the 0-D model to include higher fidelity physics calculations and demonstrate their performance and impact on the assessments.