Replication Data for: Power-Delivery Topologies for a D–³He Tandem-Mirror Data-Center Burner: Solid-State-Transformer versus Direct-DC Conversion, Grid-Forming Control, and DC-Bus Fault-Ride-Through
Year: 2026
Type: dataset
Abstract: Replication data for the paper Power-Delivery Topologies for a D–³He Tandem-Mirror Data-Center Burner: Solid-State-Transformer versus Direct-DC Conversion, Grid-Forming Control, and DC-Bus Fault-Ride-Through (Kronos Fusion Energy 2026 Publication Series, paper 2.68), published at doi:10.5281/zenodo.22645941. Abstract of the paper. The MetroVolt burner takes a deuterium–helium-3 (D–^3He) tandem mirror and delivers its output as electricity to a co-located, high-density computing load. Because the burner's direct-energy converter (DEC) decelerates a charged-particle stream against graded collectors, it is a high-voltage DC source by construction, and the power-delivery architecture becomes a set of down-select decisions that a conventional AC plant never faces. We pose those decisions as formal optimisation and stability problems on a DC-native bus, derive their governing equations, solve them with a GPU-accelerated reduced-order campaign, and settle four of them. (i) Isolation and step. A cascaded source-to-load efficiency model shows the solid-state transformer (SST) is redundant: a DEC-direct path reaches 88.39% against 85.43% for an SST-fed path (+2.96 points with one fewer conversion stage), because the galvanic isolation an SST would provide collapses into a single silicon-carbide (SiC) dual-active-bridge (DAB). A conduction/switching/magnetic loss decomposition gives an arithmetic–geometric-mean optimum at f^=15.81 kHz and η_DAB=98.85%. (ii) Grid interface. A single-bus swing-equation model of a 6% generation-loss event on a 1 GVA island (H=3 s) shows the DC-native buffer makes the plant grid-forming: a sub-10 ms fast-frequency response lifts the frequency nadir by 0.527 Hz (49.37349.900 Hz, clear of under-frequency load-shed) and enables black-start and islanding a grid-following plant cannot. What this dataset contains data/key_values.csv and data/anchors.json: the frozen design-point values quoted in the paper (symbol, value, unit, provenance), in machine-readable form. data/verification.csv: the validator gates the paper cites, each with its verdict and a link to a live recompute page. figures/: the figures from the paper, as vector PDF, with an inventory. power-delivery-topologies-for-a-d-he-tandem-mirror-data.data-methods.pdf: methods, the computational codes used, and the full value table. data/data_dictionary.md: column definitions. Every value is a frozen design-point number that is independently re-run and recorded in the Kronos Physics De-Risking Register (doi:10.5281/zenodo.22645689). The paper itself is not duplicated here; read it at the DOI above.
Source: Harvard Dataverse
DOI: 10.7910/dvn/7jiczt
Author: Ford, P I
Language: English
Topic: Advanced DC-DC Converters
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7214599576