Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

Integrated modeling of temperature profiles in L-mode tokamak discharges

View through CrossRef
Simulations of doublet III-D, the joint European tokamak, and the tokamak fusion test reactor L-mode tokamak plasmas are carried out using the PTRANSP predictive integrated modeling code. The simulation and experimental temperature profiles are compared. The time evolved temperature profiles are computed utilizing the Multi-Mode anomalous transport model version 7.1 (MMM7.1) which includes transport associated with drift-resistive-inertial ballooning modes (the DRIBM model [T. Rafiq et al., Phys. Plasmas 17, 082511 (2010)]). The tokamak discharges considered involved a broad range of conditions including scans over gyroradius, ITER like current ramp-up, with and without neon impurity injection, collisionality, and low and high plasma current. The comparison of simulation and experimental temperature profiles for the discharges considered is shown for the radial range from the magnetic axis to the last closed flux surface. The regions where various modes in the Multi-Mode model contribute to transport are illustrated. In the simulations carried out using the MMM7.1 model it is found that: The drift-resistive-inertial ballooning modes contribute to the anomalous transport primarily near the edge of the plasma; transport associated with the ion temperature gradient and trapped electron modes contribute in the core region but decrease in the region of the plasma boundary; and neoclassical ion thermal transport contributes mainly near the center of the discharge.
Title: Integrated modeling of temperature profiles in L-mode tokamak discharges
Description:
Simulations of doublet III-D, the joint European tokamak, and the tokamak fusion test reactor L-mode tokamak plasmas are carried out using the PTRANSP predictive integrated modeling code.
The simulation and experimental temperature profiles are compared.
The time evolved temperature profiles are computed utilizing the Multi-Mode anomalous transport model version 7.
1 (MMM7.
1) which includes transport associated with drift-resistive-inertial ballooning modes (the DRIBM model [T.
Rafiq et al.
, Phys.
Plasmas 17, 082511 (2010)]).
The tokamak discharges considered involved a broad range of conditions including scans over gyroradius, ITER like current ramp-up, with and without neon impurity injection, collisionality, and low and high plasma current.
The comparison of simulation and experimental temperature profiles for the discharges considered is shown for the radial range from the magnetic axis to the last closed flux surface.
The regions where various modes in the Multi-Mode model contribute to transport are illustrated.
In the simulations carried out using the MMM7.
1 model it is found that: The drift-resistive-inertial ballooning modes contribute to the anomalous transport primarily near the edge of the plasma; transport associated with the ion temperature gradient and trapped electron modes contribute in the core region but decrease in the region of the plasma boundary; and neoclassical ion thermal transport contributes mainly near the center of the discharge.

Related Results

Analysis of energetic particle-driven Alfvénic instabilities in tokamak and stellarator plasmas using three dimensional numerical tools
Analysis of energetic particle-driven Alfvénic instabilities in tokamak and stellarator plasmas using three dimensional numerical tools
In this thesis, a detailed analysis of the experientially observed energetic particle-driven Alfvénic instabilities in tokamak and stellarator plasmas using three dimensional numer...
Conceptual design and preliminary data analysis for classification of plasma disruption event at Aditya-U tokamak
Conceptual design and preliminary data analysis for classification of plasma disruption event at Aditya-U tokamak
Disruption prediction and its avoidance/mitigation is an essential part of the tokamak operations, particularly for large size tokamak as the disruptions could produce very large h...
The false alarms and ‘non-impacting’ discharges from event duration monitors (EDM) by a UK water company
The false alarms and ‘non-impacting’ discharges from event duration monitors (EDM) by a UK water company
Abstract Sewage discharges to aquatic environments present a real danger to human and ecosystem health. Event duration monitors (EDMs) from combined stormwater overflows (C...
Stabilized C1-bicubic finite element method for nonlinear MHD modeling of tokamak plasma
Stabilized C1-bicubic finite element method for nonlinear MHD modeling of tokamak plasma
Méthode d'éléments finis C1-bicubique stabilisée pour la modélisation MHD non linéaire du plasma de tokamak Le tokamak est l’un des systèmes prometteurs mis au poin...
Epileptiform EEG Discharges in Healthy Children: Prevalence, Emotional and Behavioral Correlates, and Genetic Influences
Epileptiform EEG Discharges in Healthy Children: Prevalence, Emotional and Behavioral Correlates, and Genetic Influences
Summary: Epileptiform discharges in 8 electrode waking EEGs at rest and during hyperventilation in 1,057 healthy children aged 6–12 years from an elementary school were studied: E...
Slow oscillations open susceptible time windows for epileptic discharges
Slow oscillations open susceptible time windows for epileptic discharges
AbstractObjectiveIn patients with epilepsy, interictal epileptic discharges are a diagnostic hallmark of epilepsy and represent abnormal, so‐called “irritative” activity that disru...
Hospital Discharge Prediction Using Machine Learning
Hospital Discharge Prediction Using Machine Learning
Abstract OBJECTIVE Reliable hospital discharge predictions still remain an unmet need. In this study, we aimed to forecast dail...

Back to Top