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Workshop to Plan Fusion Simulation Project
(Tokamak Whole Device Modeling)
Presented by
Arnold H. KritzLehigh University
Physics Department Bethlehem, PA 18015, USA
IMAGE WGMay 8, 2007
IMAGE Overview of Integrated Modeling May 8, 2007
FSP Objective and Motivation• Primary objective of FSP
– Create high-performance software to carry out comprehensive predictive integrated modeling simulations, with high physics fidelity, relevant to ITER and other tokamaks
• Leadership class computers will be necessary to achieve this objective
• Urgent need for FSP motivated by fact that there are significant physics problems associated with ITER discharge scenario planning and control – Prior to completion of ITER construction, controls must be developed to
suppress large scale instabilities that can adversely affect confinement
– Accurate predictions are needed for• Edge transport barrier that enhances the core plasma confinement
• Edge instabilities that cause fluctuations in power to the divertor and first wall
– Each discharge in ITER is expected to cost about a million dollars• Whole device computer simulations needed to optimize discharge scenarios
• Fully verified and validated comprehensive integrated modeling capability is essential to support ITER as well as other current and planned tokamaks
IMAGE Overview of Integrated Modeling May 8, 2007
FSP Background• Previous Fusion Simulation Project (FSP) to address questions
outlined in charge letter, February 22, 2002– Develop 5-6 year initiative the goal of which is develop an improved capacity
for Integrated Simulation and Optimization of Fusion Systems
• FESAC appointed committee to develop a roadmap–Final FESAC Report December 2002
• http://www.isofs.info/FSP_Final_Report.pdf http://www.isofs.info/FSP_Appendix.pdf
– Fusion Simulation Project (FSP) envisioned as a 15 year, $25M/year multi-institutional project
• Develop a comprehensive simulation capability for magnetic fusion experimentswith a focus on ITER
– Recommended an approach through Focused Integration Initiatives• Coupling pairs of components before moving to whole device modeling
• OFES formed an FSP Steering Committee in 2003– Develop project vision, governance concept, and roadmap for the FSP– Recommends that the FSP consist of three elements:
• Production component, a research and integration component, and a software infrastructure component
– Final report in Journal of Fusion Energy, Vol. 23, No. 1, March 2004
IMAGE Overview of Integrated Modeling May 8, 2007
Context for FSP• It is clear that computer plasma physics simulations have become
significantly more sophisticated in recent decades– The first round of SciDAC projects concentrated on first principles
simulations of individual physical phenomena• Development of high fidelity physics models for
individual physical processes needs to continue
– The second round of SciDAC projects combined pairs of processes– FSP is intended, after 15 years, to combine all relevant physical
phenomena in comprehensive tokamak plasma simulations• In the first 5 years, there will be focus on a limited number of problems for which
advanced simulation capability can provide exciting scientific deliverables that substantially impact realistic predictive capabilities
• Computer hardware is evolving beyond all expectations– Within the next five years, we will be in age of petascale
computing (1015 FLOPS) with massively parallel computers– Integrated modeling is particularly challenging because of the
diverse physics and algorithmic modules• FSP will develop comprehensive modeling of whole tokamak plasma
– With simultaneous interactions of multiple physical processes treated in a self-consistent manner
– Using modules with much improved physics fidelity
Elements of an Integrated Tokamak Modeling Code
CoreTransport
EdgeTransport
PlasmaTurbulence
MHDEquilibrium
HeatingCurrent Drive
AtomicPhysics
RadiativeTransport
Large ScaleInstabilities
Plasma-WallInteractions
• Sawtooth Region (q < 1)
• Core Confinement Region
• Magnetic Islands
• Edge Pedestal Region
• Scrape-off Layer
•Vacuum/Wall/ Conductors/Antenna
IMAGE Overview of Integrated Modeling May 8, 2007
Physics is Interactive• Many physical processes in tokamaks interact strongly
– Whole device integrated modeling codes are needed to simulate strongly interacting physical processes observed in experiments
• Examples of interacting processes:
– Large scale instabilities can strongly modify plasma profiles and are strongly affected by the plasma profiles
• Sawtooth oscillations that are triggered by kink or m=1 tearing modes redistribute current density, thermal particles and fast particle species
• Neoclassical tearing modes (NTMs) are very sensitive to current and pressure profiles and produce flat spots in those profiles
– Boundary conditions strongly affect core plasma profiles• H-mode pedestal height, normally limited by ELM crashes, controls core
temperature profiles since anomalous transport models are “stiff”
• Wall conditioning has a strong effect on hot ion scenarios
– Distortion of velocity distribution due to slowing down of fast ions from NBI, RF and fusion reactions need to be included in gyrokinetic turbulence codes
• Fast ions are redistributed by large scale instabilities and slowing down time is affected by plasma profile changes caused by sawtooth crashes
IMAGE Overview of Integrated Modeling May 8, 2007
Questions and Plan for FSP • Current funding of simulation efforts clearly insufficient to achieve
FSP requirements
– Dramatic increase in funding is required if FSP goals are to be achieved
• To initiate the FSP project, it is necessary to answer the questions: – What are the critical technical issues facing the fusion program?
• How can high performance computer simulations contribute to the resolution of these issues?
– What substantial contribution can computer simulation make that traditional theory or experiment, by themselves, cannot?
– What new contributions can result from advances in physics models, algorithms, software, and computer hardware?
• What investments in fusion science as well as computational science and infrastructure must be made to obtain the needed answers?
– How should the Fusion Simulation Project be organized and managed to address these critical technical issues?
• To obtain required answers, OFES and OASCR have formed a Fusion Simulation Project committee to plan and hold a workshop
IMAGE Overview of Integrated Modeling May 8, 2007
FSP Workshop Committee• Co-Chairs: David Keyes (Columbia Univ.)
Arnold Kritz (Lehigh Univ.)
• Phil Colella (LBNL)
• Martin Greenwald (MIT)
• Dan Meiron (Cal Tech)
• Scott Parker (Univ. Colorado)
• Cynthia Phillips (PPPL)
• Tom Rognlien (LLNL)
• Andrew Siegel (Univ. Chicago/ANL)
• Xianzhu Tang (LANL)
• Pat Worley (ORNL)
• Workshop: Wednesday and Thursday May 16-17, 2007– Atrium Court Hotel, Rockville, MD
– FSP Committee members will continue on Friday, May 18, to complete a final draft of workshop report
IMAGE Overview of Integrated Modeling May 8, 2007
FSP Workshop – May 16-17, 2007
• Forty five scientists, representing twenty institutions, from the OFES and OASCR communities will participate on four panels
– Workshop will include the opportunity for comments by observers
• FSP Workshop Web site has been established
http:/www.lehigh.edu/~infusion
– Web wiki is being used to prepare panel reports
• The result of the workshop will be a report containing the conclusions and recommendations of each panel
– The result of the work of the FSP panels will be reviewed by a FESAC appointed subcommittee
• The FSP Workshop will be patterned after DOE-BES Workshops
– Examples of 17 reports that have been written by Basic Energy Sciences (BES) workshops are available on the Web at http://www.sc.doe.gov/BES/reports/list.html
IMAGE Overview of Integrated Modeling May 8, 2007
Panel Structure
Project Structure and Management –P. Colella, M. Greenwald, D. Keyes, A. Kritz
• Integration and Management of Code Components–D. Meiron, T. Rognlien, A. Siegel
• Status of Physics Components–S. Parker, C. Phillips, X. Tang
• Status of Required Computational and Applied Math Tools–P. Colella, D. Keyes, P. Worley
IMAGE Overview of Integrated Modeling May 8, 2007
Project Structure and Management Panel
Phil Colella – LBNL Don Batchelor – ORNL
Martin Greenwald – MIT Vincent Chan – GA
David Keyes – Columbia Bruce Cohen – LLNL
Arnold Kritz – Lehigh Steve Jardin – PPPL
David Schissel – GA
Dalton Schnack – Wisconsin
Frank Waelbroeck – Texas
Michael Zarnstorff – PPPL
• Panel Issues:– Scope of the FSP (ITER requirements)
– General management structure
– Establishing project Gantt charts
• Process when deadlines are not met
– Coordination and management of geographically distributed teams
– Interaction with other related national and international projects
– How to allow for alternative approaches
IMAGE Overview of Integrated Modeling May 8, 2007
Integration and Management of Code Components Panel
• Panel Issues– Component coupling – framework issues– Project Phasing
• Duration and sequencing of various phases
– Validation and Verification procedures– Code version control and management– Coding standards
Dan Meiron – Cal Tech Michael Aivazis – CalTech
Tom Rognlien – LLNL Rob Armstrong – Sandia
Andrew Siegel – ANL/U. Chicago David Brown – LLNL
John Cary – Tech-X
Lang Lao – GA
Jay Larson – ANL
Wei-Li Lee – PPPL
Doug McCune – PPPL
Ron Prater – GA
Mark Shepherd – RPI
IMAGE Overview of Integrated Modeling May 8, 2007
Status of Physics Components Panel
Panel Issues: – Completeness and robustness of
physics modules• NBI and RF and nuclear heating• Fueling• Current drive• Transport and turbulence • Large-scale instabilities • Plasma edge • Wall and atomic physics• Feedback control• Energetic particles
– What can be achieved in various time frames
Scott Parker – U. Colorado Glenn Bateman – Lehigh
Cynthia Phillips – PPPL Paul Bonoli – MIT
Xianzhu Tang – LANL CS Chang – NYU
Ron Cohen – LLNL Pat Diamond – UCSD
Guo-Yong Fu – PPPL
Chris Hegna – Wisconsin
Dave Humphreys – GA
George Tynan – UCSD
IMAGE Overview of Integrated Modeling May 8, 2007
Status of Required Computational and Applied Math Tools
• Panel Issues:– Numerical algorithms
• Discretization, adaptivity, solution, optimization
– Data handling
– Graphics and visualization
– Scalability to highest-end platforms
– Performance evaluation and performance engineering
Phil Colella – LBNL Jeff Candy – GA
David Keyes – Columbia Luis Chacon – LANL
Pat Worley – ORNL George Fann – ORNL
Bill Gropp – ANL
Chandrika Kamath – LLNL
Valerio Pascucci – LLNL
Ravi Samtaney – PPPL
John Shalf – LBNL
IMAGE Overview of Integrated Modeling May 8, 2007
FSP Committee Activities• The FSP Committee was convened in January 2007
– There have been many, many conference calls to date
– Four-panel FSP workshop structure was accepted on 16 January
– There have been extensive committee discussions about the overall objectives and scope of the Fusion Simulation Project
– Focus on the specific deliverables, particularly those that will be delivered at the end of the first five years
• Members for the four FSP panels were chosen by mid-February
– Careful consideration was given to expertise of panel membershipas well as geographical and institutional balance
– A scribe in each panel has maintained a written record of the conference call discussions
• Public FSP web site was established
– Wiki was established in order to facilitate input, panel interaction and report writing
– Workshop agenda and outline of workshop report is on the wiki
IMAGE Overview of Integrated Modeling May 8, 2007
Conclusions• The FSP committee and workshop will:
– Address issues associated with project structure and management of the proposed FSP
– Identify the critical scientific and technical challenges for the fusion program for which predictive integrated simulation modeling has a unique potential for providing answers in a timely fashion,
• In a way that traditional theory or experiment by themselves cannot
– Establish a clear plan to improve the fidelity of the physics modules required for predictive tokamak whole device modeling
– Identify the critical areas of computational science and infrastructure in which investments would likely produce the tools required for the FSP to achieve its goals
• It is essential that we produce, in a timely way, advanced simulation capability in support of ITER that can provide exciting scientific deliverables which substantially impact realistic predictive capabilities– There is a need to make a clear distinction between new individual scientific
discoveries driven by leadership class supercomputers and useful integrated models that are capable of delivering whole device simulations with significantly improved validation