Ultrascale scientific computing, combined with the nation's
best physicists and computer scientists in research partnerships,
will be needed to solve difficult problems to hasten the design of
a cost-effective fusion power plant.
If we continue to burn fossil fuels for energy at the current rate,
they will last only another few hundred years. In the context of civilization,
the fossil fuel era is drawing to a close. In addition, it would be wise
to reduce our combustion of oil, gas, and coal because the process produces
pollutants that are bad for our health and carbon dioxide that could
change our climate in undesirable ways. One possible future source
of electricity for the world is fusion energy.

The Quasi Poloidal Stellarator was designed with the help of a computer optimization
model that used an extensive suite of physics design tools. The QPS is expected to be
built by 2008.
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When the fusion process
that produces the energy of the sun and stars is harnessed on the earth,
we will have a virtually unlimited supply of clean energy.
Achieving
this goal will occur when a hot plasma gas containing heavy hydrogen
atoms—deuterium obtained from the ocean and tritium
bred by the fusion process itself—is heated to a high enough
temperature, squeezed to a high enough density, and held in
this state by magnetic fields for a long enough time to sustain fusion
reactions. The heat produced from these reactions could then be used
to drive a turbine and generate electricity.
Which geometry
should external magnetic fields have to confine the plasma in a way
that ensures sustained fusion reactions? Can radiofrequency (rf) heating—high-frequency
radio waves generated by oscillators outside the doughnut-shaped plasma
vessel—possess
the right set of frequencies to heat and control the plasma? Heating
involves transferring rf energy to the charged particles in the plasma,
which in turn collide with other plasma particles, boosting the temperature
of the bulk plasma. Controlling the plasma involves suppressing its instabilities
so fewer particles crash into the plasma vessel wall and cool the
plasma. The most efficient way to answer these questions and to identify
all the parameters needed for heating and controlling fusion plasmas
in an economic fusion device is through fusion simulation on supercomputers
and validation of these simulations by experiments.
In the past five years, the
theory group in ORNL's Fusion Energy Division in collaboration with computer scientists and
applied mathematicians in ORNL's Computer Science and Mathematics Division, has developed
powerful computer codes to simulate fusion plasmas in two and three dimensions and predict
their responses to simulated magnetic fields and radiofrequency heating. During that time,
the Department of Energy's Center for Computational Sciences at ORNL obtained powerful
supercomputers, including the IBM Power4 (Cheetah), which is a primary production resource
for DOE's Scientific Discovery through Advanced Computing (SciDAC) program, and the SGI
Altix, which has the extra advantage of having a large memory that holds 2 trillion bytes
of data.
ORNL's fusion theorists have
been using these two supercomputers for their SciDAC-sponsored research and have also ported
their codes to the Cray X1 system at CCS. They are glad DOE is providing funding to build a
supercomputer at ORNL that will exceed the computational speed record currently held by
Japan's Earth Simulator supercomputer. A supercomputer with this much capability will
hasten the solution of design problems related to future fusion power devices.
ORNL
and ITER
One DOE
goal is to demonstrate a sustained, self-heated (burning) fusion plasma,
in which the plasma is maintained at fusion temperatures by the heat
generated by the fusion reaction itself. To attain this ambitious goal,
DOE recently declared the International Thermonuclear Experimental
Reactor (ITER) to be its number one near-term-science facility of the
future. ITER, the first facility capable of producing a sustained
burning plasma, will demonstrate the scientific and technological feasibility
of fusion energy. To fully exploit ITER's capabilities and
to guide the design and development of subsequent fusion power devices
will eventually require a predictive capability for fusion systems. To
accomplish this goal, DOE will launch a major effort to advance state-of-the-art
computational modeling and simulation of plasma behavior. ORNL's
fusion simulation work will contribute to this effort and ORNL's
involvement with ITER will allow fusion researchers to use
data from the ITER project to validate simulation programs and reliably
design future fusion reactors. The fusion community at ORNL in collaboration
with other major U.S. research institutions, such as DOE's Princeton
Plasma Physics Laboratory (PPPL), will leverage American successes
in fusion simulation to regain a U.S. leadership role in this $5 billion
international project.
Simulation—A
Shortcut to Solutions
Fusion
energy research has a long history of employing supercomputers to solve
highly complex mathematical equations. Physicists know the equations,
and applied mathematicians and computer scientists bring expertise in
solving them. In addition to fusion specialists,
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ORNL's All Orders Spectral Algorithm computational model for analyzing
plasma wave interactions is a success story in integrating physics
and software.
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ORNL is home to a team
of world-class physicists, mathematicians, and computer scientists
who collaborate with their peers from other national laboratories
and international organizations.
To solve complex scientific problems, the research community must develop new algorithms,
optimize computer codes for modern computer architectures, and help vendors design and
build ultrascale supercomputers.
The ultimate
goals of fusion simulation are quite ambitious—to predict, reliably,
the behavior of plasma discharges in a toroidal magnetic fusion device
on all relevant time and space scales. This effort would bring together
into one framework all the codes and models that presently constitute
separate disciplines within plasma science. Scientific and numerical
issues awaiting solutions are those associated with the coupling of
codes with different natural time- and length-scales.
In the
near term, ORNL scientists will be carrying out massively parallel
computations on the IBM Power3 supercomputers at DOE's National Energy
Research Scientific Computing Center (NERSC) and on the IBM Power4
and Cray X1 supercomputers at CCS. These fusion simulation efforts,
including collaborative projects funded by SciDAC, focus primarily
on grand challenge problems in four areas: transport processes in plasmas,
wave/plasma interaction, advanced stellarator designs, and simulation
of plasma evolution.
Advanced
stellarator designs, for example, have the potential for leading to
a fusion reactor that is smaller and more economically attractive than
existing stellarators and would eliminate the potentially damaging
plasma disruptions that plague conventional research tokamaks (including
ITER). Stellarators employ 3-D magnetic fields as opposed to the 2-D
fields used for tokamaks. This added complexity has historically limited
our ability to design optimized systems. New software and faster computers
have lifted this constraint. ORNL,
in collaboration with PPPL, has developed a computer optimization model
that employs an extensive suite of stellarator design tools. These
tools enabled the design of compact stellarator facilities valued
at $100 million, including the Quasi-Poloidal Stellarator that DOE
plans to build at ORNL later this decade.
Simulation
of plasma evolution will help validate recent evidence that non-linear
processes called self-organized criticality exists for fusion plasmas.
This approach could provide insight into the vulnerability of complex
systems such as power grids and communication networks.
Fusion
Energy Institute
In the past, tough physics problems could be attacked only piecemeal.
Now, thanks to advanced computer simulations, more powerful supercomputers,
and improved data storage, these once intractable problems are now
within the realm of being solved systematically. To speed this process,
ORNL experts in physics, applied mathematics, and computer science have
formed a Fusion Energy Institute in CCS. The Institute will draw on the
expertise of the world's best fusion scientists to identify
grand challenges in fusion that can be solved only by using the leadership-class
computing capabilities available at CCS. Because CCS will become a site for the
world's fastest scientific supercomputer, it is more likely that today's intractable
fusion problems will be solved, enabling a more rapid design of cost-effective fusion
devices for power production.
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