A5025609743- Magnetic confinement fusion research
- Fusion materials and technologies
- Nuclear reactor physics and engineering
- Superconducting Materials and Applications
- Nuclear Physics and Applications
- Natural Language Processing Techniques
- Viral Infections and Vectors
- Ionosphere and magnetosphere dynamics
- Target Tracking and Data Fusion in Sensor Networks
- Particle accelerators and beam dynamics
- Advanced Frequency and Time Standards
- Laser-Plasma Interactions and Diagnostics
- Fault Detection and Control Systems
- Speech Recognition and Synthesis
- Plasma Diagnostics and Applications
Eindhoven University of Technology
2022-2024
Dutch Institute for Fundamental Energy Research
2022-2024
Abstract A review is given on the highlights of a scatter-shot approach developing machine-learning methods and artificial neural networks based fast predictors for application to fusion exhaust. The aim enable facilitate optimized improved modeling allowing more flexible integration physics models in light extrapolations towards future devices. project encompasses various research objectives: (a) developments surrogate model power & particle exhaust plants; (b) assessments...
Abstract Managing divertor plasmas is crucial for operating reactor scale tokamak devices due to heat and particle flux constraints on the target. Simulation an important tool understand control these plasmas, however, real-time applications or exhaustive parameter scans only simple approximations are currently fast enough. We address this lack of simulators using neural partial differential equation (PDE) surrogates , data-driven network-based surrogate models trained solutions generated...
Abstract This experimental study presents an in-depth investigation of the performance MAST-U Super-X divertor during NBI-heated operation (up to 2.5 MW) focussing on volumetric ion sources and sinks as well power losses detachment. The particle balance loss analysis revealed crucial role Molecular Activated Recombination Dissociation (MAR MAD) in balance, which remain pronounced change from ohmic higher (NBI heated) L-mode conditions. importance MAR MAD remains with double absorbed NBI...
Abstract Tokamak à configuration variable (TCV), recently celebrating 30 years of near-continual operation, continues in its missions to advance outstanding key physics and operational scenario issues for ITER the design future power plants such as DEMO. The main machine heating systems changes are first described. Then follow five sections: plasma scenarios. Base-Line (IBL) discharges, triangularity studies together with X3 N2 seeding. Edge localised mode suppression, a high radiation...
Exhausting power from the hot fusion core to plasma-facing components is one energy's biggest challenges. The MAST Upgrade tokamak uniquely integrates strong containment of neutrals within exhaust area (divertor) with extreme divertor shaping capability. By systematically altering shape, this study shows strongest evidence date our knowledge that long-legged divertors a high magnetic field gradient (total flux expansion) deliver key benefits without adversely impacting core. These are...
Abstract Recent results from MAST Upgrade are presented, emphasising understanding the capabilities of this new device and deepening key physics issues for operation ITER design future fusion power plants. The impact MHD instabilities on fast ion confinement have been studied, including first observation losses correlated with Compressional Global Alfvén Eigenmodes. High-performance plasma scenarios developed by tailoring early current ramp phase to avoid internal reconnection events,...
<title>Abstract</title> Nuclear fusion could offer clean, abundant energy. However, managing the power exhausted from core plasma towards reactor wall remains a major challenge, compounded in emerging compact designs promising more cost-effective pathways commercial Alternative Divertor Configurations (ADCs) are potential solution. In this work, ADC exhaust control is demonstrated for first time, employing novel method to diagnose neutral gas buffer which shields target. Our work on MAST-U...
Abstract This paper presents DIV1D, a new 1D dynamic physics-based model of the divertor plasma under development to study and control dynamics detached plasmas. An innovative feature DIV1D is that it mimics cross-field transport using an effective flux expansion includes neutral gas background outside leg. We outline mapping procedure for static 2D SOLPS-ITER simulations plasmas in Tokamak á Configuration Variable, which can be used benchmark codes. For good agreement found most important...
DEMO will have a limited diagnostic set for optimization of reactor performance, and coverage due to challenging conditions. This poses challenges control, especially detachment control which is planned be performed with spectroscopic lines-of-sight. To demonstrate mitigation the problem, we implemented sparse sensor placement technique on TCV case spectroscopy. Experimental CIII 2D emissivity profiles from MANTIS multispectral imaging system at are used create synthetic spectroscopy system,...
Abstract This paper extends a 1D dynamic physics-based model of the scrape-off layer (SOL) plasma, DIV1D, to include core SOL and possibly second target. The extended is benchmarked on mapped SOLPS-ITER simulations find input settings for DIV1D that allow it describe plasmas from upstream target—calibrating scenario device basis. benchmark shows quantitative match between profiles heat flux, electron temperature, density within roughly 50% on: (1) Tokamak Configuration Variable (TCV) gas...
In this paper we report on the development and demonstration of density feedback control for MAST-U. Sinusoidal perturbations are used to measure frequency response from a deuterium gas valve (actuator) line-integrated core electron measured by interferometer (sensor). range relevant design, only two system-identification experiments were needed regress first-order dynamic model. This control-oriented model informs offline design proportional integral controller with established loop-shaping...
Managing divertor plasmas is crucial for operating reactor scale tokamak devices due to heat and particle flux constraints on the target. Simulation an important tool understand control these plasmas, however, real-time applications or exhaustive parameter scans only simple approximations are currently fast enough. We address this lack of simulators using neural PDE surrogates, data-driven network-based surrogate models trained solutions generated with a classical numerical method. The...
DEMO will have a limited diagnostic set for optimization of reactor performance, and coverage due to challenging conditions. This poses challenges control, especially detachment control which is planned be performed with spectroscopic lines-of-sight. To demonstrate mitigation the problem, we implemented sparse sensor placement technique on TCV case spectroscopy. Experimental CIII 2D emissivity profiles from MANTIS multispectral imaging system at are used create synthetic spectroscopy system,...