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Title: Scientific and Computational Challenges of the Fusion Simulation Program (FSP)

Abstract

This paper highlights the scientific and computational challenges facing the Fusion Simulation Program (FSP) a major national initiative in the United States with the primary objective being to enable scientific discovery of important new plasma phenomena with associated understanding that emerges only upon integration. This requires developing a predictive integrated simulation capability for magnetically-confined fusion plasmas that are properly validated against experiments in regimes relevant for producing practical fusion energy. It is expected to provide a suite of advanced modeling tools for reliably predicting fusion device behavior with comprehensive and targeted science-based simulations of nonlinearly-coupled phenomena in the core plasma, edge plasma, and wall region on time and space scales required for fusion energy production. As such, it will strive to embody the most current theoretical and experimental understanding of magnetic fusion plasmas and to provide a living framework for the simulation of such plasmas as the associated physics understanding continues to advance over the next several decades. Substantive progress on answering the outstanding scientific questions in the field will drive the FSP toward its ultimate goal of developing the ability to predict the behavior of plasma discharges in toroidal magnetic fusion devices with high physics fidelity on all relevantmore » time and space scales. From a computational perspective, this will demand computing resources in the petascale range and beyond together with the associated multi-core algorithmic formulation needed to address burning plasma issues relevant to ITER - a multibillion dollar collaborative experiment involving seven international partners representing over half the world's population. Even more powerful exascale platforms will be needed to meet the future challenges of designing a demonstration fusion reactor (DEMO). Analogous to other major applied physics modeling projects (e.g., Climate Modeling), the FSP will need to develop software in close collaboration with computers scientists and applied mathematicians and validated against experimental data from tokamaks around the world. Specific examples of expected advances needed to enable such a comprehensive integrated modeling capability and possible "co-design" approaches will be discussed. __________________________________________________« less

Authors:
Publication Date:
Research Org.:
Princeton Plasma Physics Lab. (PPPL), Princeton, NJ (United States)
Sponsoring Org.:
USDOE Office of Science (SC)
OSTI Identifier:
1007186
Report Number(s):
PPPL-4601
TRN: US1102023
DOE Contract Number:  
De-ACO2-09CH11466
Resource Type:
Conference
Resource Relation:
Journal Name: Plasma Fusion Research (PFR) of the Japan Society of Plasma Science and Nuclear Fusion; Conference: Plasma Fusion Research (PFR) of the Japan Society of Plasma Science and Nuclear Fusion and Presented at 20th International Toki Conference (ITC-20), Toki-City, Gifu, Japan (December 7-10, 2010)
Country of Publication:
United States
Language:
English
Subject:
70 PLASMA PHYSICS AND FUSION TECHNOLOGY; CLIMATES; COMPUTERS; DOLLARS; PHYSICS; PLASMA; PRODUCTION; SIMULATION; THERMONUCLEAR REACTORS; Magnetic Fusion Energy, physics intergrtion, high-performance computing, predictive simulations, experimental validation

Citation Formats

William M. Tang. Scientific and Computational Challenges of the Fusion Simulation Program (FSP). United States: N. p., 2011. Web.
William M. Tang. Scientific and Computational Challenges of the Fusion Simulation Program (FSP). United States.
William M. Tang. Wed . "Scientific and Computational Challenges of the Fusion Simulation Program (FSP)". United States. doi:. https://www.osti.gov/servlets/purl/1007186.
@article{osti_1007186,
title = {Scientific and Computational Challenges of the Fusion Simulation Program (FSP)},
author = {William M. Tang},
abstractNote = {This paper highlights the scientific and computational challenges facing the Fusion Simulation Program (FSP) a major national initiative in the United States with the primary objective being to enable scientific discovery of important new plasma phenomena with associated understanding that emerges only upon integration. This requires developing a predictive integrated simulation capability for magnetically-confined fusion plasmas that are properly validated against experiments in regimes relevant for producing practical fusion energy. It is expected to provide a suite of advanced modeling tools for reliably predicting fusion device behavior with comprehensive and targeted science-based simulations of nonlinearly-coupled phenomena in the core plasma, edge plasma, and wall region on time and space scales required for fusion energy production. As such, it will strive to embody the most current theoretical and experimental understanding of magnetic fusion plasmas and to provide a living framework for the simulation of such plasmas as the associated physics understanding continues to advance over the next several decades. Substantive progress on answering the outstanding scientific questions in the field will drive the FSP toward its ultimate goal of developing the ability to predict the behavior of plasma discharges in toroidal magnetic fusion devices with high physics fidelity on all relevant time and space scales. From a computational perspective, this will demand computing resources in the petascale range and beyond together with the associated multi-core algorithmic formulation needed to address burning plasma issues relevant to ITER - a multibillion dollar collaborative experiment involving seven international partners representing over half the world's population. Even more powerful exascale platforms will be needed to meet the future challenges of designing a demonstration fusion reactor (DEMO). Analogous to other major applied physics modeling projects (e.g., Climate Modeling), the FSP will need to develop software in close collaboration with computers scientists and applied mathematicians and validated against experimental data from tokamaks around the world. Specific examples of expected advances needed to enable such a comprehensive integrated modeling capability and possible "co-design" approaches will be discussed. __________________________________________________},
doi = {},
journal = {Plasma Fusion Research (PFR) of the Japan Society of Plasma Science and Nuclear Fusion},
number = ,
volume = ,
place = {United States},
year = {Wed Feb 09 00:00:00 EST 2011},
month = {Wed Feb 09 00:00:00 EST 2011}
}

Conference:
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