Posted in | News | Nanomaterials | Nanoenergy

Nanotechnology Boosting Power Plant Efficiency and Reducing Nuclear Waste

With renewed attention being given to nuclear power, a UT Dallas researcher has snagged an $875,000 Department of Energy (DOE) grant to explore a means to boost power plant efficiency and reduce nuclear waste.

It’s the biggest research grant yet within the University’s young Mechanical Engineering Department.

Nanotechnology Boosting Power Plant Efficiency and Reducing Nuclear Waste" />
A microscopic photo image shows contour lines denoting stress near a propagating crack on the surface of a nuclear fuel rod.

Dr. Hongbing Lu, a nanomaterials expert and the first holder of the Louis Beecherl Jr. Chair in mechanical engineering at the Erik Jonsson School of Engineering and Computer Science, will simulate the cracks that form in the metal-alloy surface, or cladding, of nuclear fuel rods. These cracks - which develop in the stressful reactor environment of tremendous heat, corrosion, irradiation and pressure - are microscopic in size but can cause a reduction in the fuel burn-up rate, decreasing power station efficiency and increasing nuclear waste.

“We’re working on a very general simulation methodology that can be applied to that kind of environment,” Lu said. “It’s more than just crack growth. We need to understand how the material behaves under extreme pressure, temperature, corrosion and irradiation. With the methodology we’re using, we’re taking all of those factors into consideration and incorporating material behaviors into some mathematical models to describe them under very complicated conditions.”

Lu and his team will generate data about the effects of pressure and temperature, factoring in DOE information about fission and other labs’ information about the effects of corrosion.

“Once we’ve gathered all of the information on nuclear fuel cladding in that environment, then we’ll be able to plug it all into a simulation code and develop a better understanding of how quickly the cracks grow,” Lu said. “At that point we can go beyond the simulations and begin working on actual materials tested in the government labs.”

The ultimate goal is to use the results to come up with a better fuel-cladding material, but the work should have application in a variety of other areas as well.

“The same simulation methodologies we’re developing can be applied to other parts of a nuclear power station,” Lu said. “Take the pressure vessels, for instance. The environment may not be as extreme as in the fuel cladding - the temperature and radiation may be lower - but, overall, the two environments are very similar. And if you remove the radiation, you can apply the methodologies to other high-pressure environments such as engines.”

Despite lingering concerns by the public about the safety of nuclear power plants even decades after the Three-Mile Island and Chernobyl nuclear accidents, the planet is in the midst of what has been called a nuclear renaissance, especially in China and India. Lu hopes to assuage people’s concerns.

“With the use of modern technology, nuclear energy is really safe,” Lu said. “It’s quite different from many decades ago. The nuclear physics has already been figured out. Other things are dictating the efficiency of the fuel burn-up. You need people from all disciplines. My contribution has to do with the mechanics and materials aspects of the nuclear fission process.”

Energy is one of the primary issues society has to deal with right now, he added, noting that alternatives to fossil fuels are desperately needed.

Tell Us What You Think

Do you have a review, update or anything you would like to add to this news story?

Leave your feedback
Your comment type
Submit

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.