Multiscale simulations help predict unruly plasma behavior

September 21, 2017 by Kathy Kincade, US Department of Energy
Visualization of temperature fluctuations from a high-resolution simulation of a plasma discharge in the DIII-D tokamak. The DIII-D plasma was designed to match many of the plasma parameters targeted in ITER operation. Credit: Chris Holland

Decades of fusion research have brought many advances in our understanding of the physics of plasma, the hot ionized gas at the heart of a fusion reactor. While many questions are being answered, important challenges remain.

Take, for example, turbulence. It is generally accepted that the turbulent transport of particles, and momentum in a tokamak reactor plays a key role in determining the level of confinement and reactor performance. But a thorough understanding of plasma turbulence and the transport mechanism—and the ability to accurately predict each—is a bit more elusive.

In a fusion reaction, energy is released when two hydrogen isotopes are fused together to form a heavier nucleus, helium and a highly energetic free neutron. To achieve high enough reaction rates to make fusion a useful energy source, hydrogen contained inside the reactor core must be heated to extremely high temperatures—more than 100 million degrees Celsius—which transforms it into hot plasma. In certain reactors, strong magnetic fields are then used to "contain" the plasma and keep it from touching the vessel walls, a process known as magnetic confinement.

So there's a lot going on inside the plasma as it heats up. Driven by electric and magnetic forces, charged particles swirl around and collide into one another, and the central temperature and density are constantly evolving. In addition, plasma instabilities—aka turbulence—disrupt the reactor's ability to produce sustainable energy by increasing the rate of heat loss.

Fortunately, new supercomputer simulations are making it easier to more accurately predict key aspects of plasma behavior. A team of physicists from the University of California at San Diego (UCSD), MIT's Plasma Science and Fusion Center and Princeton Plasma Physics Laboratory (PPPL) ran a series of multiscale gyrokinetic simulations at Lawrence Berkeley National Laboratory's National Energy Research Scientific Computing Center (NERSC) to determine whether electron energy transport in a tokamak plasma discharge is multiscale in nature. Being able to accurately predict electron energy transport is critical for predicting performance in future reactors such as ITER, currently under construction in Cadarache, France.

"In a , most of the heat generated in the plasma will be transported by the electrons," said Chris Holland, a research scientist in the Center for Energy Research at UCSD and lead author on a recent study in Nuclear Fusion describing this work. This study builds on previous research by Holland and colleagues at MIT and General Atomics in which they used multiscale simulations to more precisely study the turbulence instabilities that cause plasma heat loss.

These latest simulations, which were performed with the GYRO gyrokinetic code and used nearly 70 million hours of computing time on NERSC's Edison system, corresponded to conditions measured in a plasma run at the DIII-D tokamak reactor using the ITER baseline scenario. The DIII-D tokamak, located at General Atomics, has been used since the 1980s to develop the techniques required to operate ITER and study their impact on reactor performance.

After examining the new multiscale simulations, the research team found that electron energy transport in these plasmas does appear to have a strong multiscale character—the first such evidence of the multiscale nature of electron transport for conditions like what is expected in ITER. The simulations showed that for these conditions, the electron transport will occur on a much larger range of scales (hence the term "multiscale") than it does in many previous experiments, and that there are strong nonlinear couplings between the different scales that previous simulations could not resolve.

These results further extend our knowledge of what's occurring inside current tokamak research experiments and in future experimental reactors such as ITER, which is expected to improve reactor design. In addition, the new simulations can be used as a direct predictive tool by fusion energy researchers to encapsulate the physics of in a reactor and produce reduced models for designing future reactors, Holland noted.

"It is vital to do these kinds of simulations to identify what phenomena to expect in a future and how it may be different from current experiments," he said. "But if you want to do an actual prediction of how an experiment like ITER is going to perform, you would have to do tens or hundreds of these simulations, which is still certainly beyond what we can do now. So it is important not just to do these simulations but to use them to understand the physics, produce models that are more computationally efficient and make integrated whole-device predictions."

Explore further: Physicists propose new way to stabilize next-generation fusion plasmas

More information: C. Holland et al. Gyrokinetic predictions of multiscale transport in a DIII-D ITER baseline discharge, Nuclear Fusion (2017). DOI: 10.1088/1741-4326/aa6c16

Related Stories

Avoiding disruptions that halt fusion reactions

August 21, 2017

Inside a fusion experiment, where scientists study the reactions at the heart of our sun, disruptions—large-scale instabilities of the plasma—cause rapid and complete loss of magnetic confinement. Models of fusion plasmas ...

Turbulent transport of hydrogen fuel in fusion plasmas

December 16, 2016

Using large-scale computer simulations, the Plasma Physics and Fusion Energy research group at the Department of Earth and Space Sciences is making important contributions to Joint European Torus (JET), the biggest fusion ...

A turbulent solution to a growing problem

October 27, 2016

A recent experiment lead by University of California, Los Angeles (UCLA), researchers on the DIII-D tokamak suggests that plasma turbulence can prevent filamentary structures called magnetic islands from growing so large ...

Recommended for you

New thermoelectric material delivers record performance

January 17, 2019

Taking advantage of recent advances in using theoretical calculations to predict the properties of new materials, researchers reported Thursday the discovery of a new class of half-Heusler thermoelectric compounds, including ...

Zirconium isotope a master at neutron capture

January 17, 2019

The probability that a nucleus will absorb a neutron is important to many areas of nuclear science, including the production of elements in the cosmos, reactor performance, nuclear medicine and defense applications.


Adjust slider to filter visible comments by rank

Display comments: newest first

1 / 5 (1) Sep 21, 2017
We are on the verge of true quantum computers. And they will change everything. :-)

plasma turbulence code and used nearly 70 million hours of computing time on NERSC's Edison system

What is that in quantum computer usage time, a few seconds? The quantum computer simulations will show us the easiest and cheapest way to build a fusion reactor plus it would not surprise me if it showed us a way of doing cold fusion that has never even been contemplated.
Dennis Jasbey
not rated yet Oct 22, 2017
Here is September's fusion "nothingburger," masquerading as a breakthrough.

Please sign in to add a comment. Registration is free, and takes less than a minute. Read more

Click here to reset your password.
Sign in to get notified via email when new comments are made.