Computing the shape gradient of stellarator coil complexity with respect to the plasma boundary
Arthur Carlton-Jones (1), Elizabeth J. Paul (2), William Dorland (1), ((1) University of Maryland, College Park, (2) Department of Astrophysical, Sciences, Princeton University)

TL;DR
This paper introduces a method to incorporate coil complexity considerations directly into plasma boundary optimization for stellarators, using shape gradients and an efficient surface representation to produce simpler coil designs.
Contribution
It extends the REGCOIL code to compute derivatives of coil complexity metrics with respect to plasma boundary parameters, enabling coupled coil and plasma boundary optimization.
Findings
Shape gradients reveal features of plasma boundaries compatible with simple coils.
A spectral representation of the plasma surface improves optimization efficiency.
The method facilitates coil complexity-aware plasma boundary design.
Abstract
Coil complexity is a critical consideration in stellarator design. The traditional two-step optimization approach, in which the plasma boundary is optimized for physics properties and the coils are subsequently optimized to be consistent with this boundary, can result in plasma shapes which cannot be produced with sufficiently simple coils. To address this challenge, we propose a method to incorporate considerations of coil complexity in the optimization of the plasma boundary. Coil complexity metrics are computed from the current potential solution obtained with the REGCOIL code (Landreman 2017 Nucl. Fusion 57 046003). We compute the local sensitivity of these metrics with respect to perturbations of the plasma boundary using the shape gradient (Landreman & Paul 2018 Nucl. Fusion 58 076023). We extend REGCOIL to compute derivatives of these metrics with respect to parameters describing…
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