SCG-HMH generator (Python coded) Regenerative Multiphysics Framework for High-Density Energy Harvesting via Cryogenic Phase-Change and HTS-MHD Integration
Abstract
Abstract: We present the conceptual design and thermodynamic–electromagnetic simulation of a novel hybrid energy conversion system, termed the Superconducting Cryogenic Generator – Magnetohydrodynamic Hybrid (SCG‑HMH). This architecture integrates cryogenic nitrogen expansion, high‑temperature superconducting (HTS) magnetic bearings, high‑RPM rotor dynamics, non‑equilibrium cold‑plasma ionization, and magnetohydrodynamic (MHD) power extraction to achieve high specific power and potentially net‑positive electrical output relative to parasitic electrical input when augmented by external waste heat. System OverviewThe core cycle employs liquid nitrogen (LN₂) as both the working fluid and electrical insulator:• LN₂ is vaporized at elevated pressure (≈38 bar).• The vapor expands through a near‑frictionless turbine rotor levitated by YBCO‑based HTS magnetic bearings operating up to 120,000 rpm.• The expanded gas then enters an ionization region where a low‑duty‑cycle Marx generator initiates a cold, non‑equilibrium nitrogen plasma (electron temperature eV; gas kinetic temperature K).This plasma exhibits electrical conductivities of 30–80 S/m, far exceeding those of conventional hot‑equilibrium MHD plasmas due to reduced electron‑neutral collision frequency and extended mean free path.The highly conductive flow interacts with concentrated alternating magnetic fields (peak T, folded by HTS puck arrays) to produce significant MHD power via the Lorentz force, supplemented by electromagnetic induction in ReBCO stator windings. Performance‑Enhancing Mechanisms: System‑level performance benefits from several positive‑feedback mechanisms: Near‑zero windage and bearing losses (
Fields of Study & Subjects
Advanced Power Generation Technologies
Superconducting Materials and Applications
Thermodynamic and Exergetic Analyses of Power and Cooling Systems
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 9 February 2026