Data supporting the PhD thesis: Medium-Voltage Medium-Frequency Transformer for Green Hydrogen Applications

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Authors: Reza Mirzadarani
Cited by: 0

Abstract

This dataset supports the PhD research on the design and validation of medium-voltage, medium-frequency transformers (MFTs) for solid-state transformer (SST) applications in large-scale green hydrogen production. The research is applied and experimental, focusing on electromagnetic, insulation, thermal, and parasitic-parameter aspects of high-power MFTs. The dataset includes simulation results (FEM electromagnetic and thermal models), analytical and Python-based calculations, design parameter sets, and experimental measurement data from a downscaled laboratory prototype, including loss measurements, partial-discharge tests, impedance/Bode analysis, and thermal-rise tests. Data were generated through a combination of numerical simulations, controlled laboratory experiments, and post-processing scripts, and are intended to support reproducibility of the reported results and further research on SST-based power conversion systems.

Fields of Study & Subjects

Advanced DC-DC Converters Multilevel Inverters and Converters Induction Heating and Inverter Technology

Publication details

Journal / source
4TU.ResearchData
Publication date
27 January 2026
Language
EN
Document type
Dataset