Wednesday, September 28 2022 Sign In   |    Register
 

News Quick Search


 

News


Front Page
Power News
Today's News
Yesterday's News
Week of Sep 26
Week of Sep 19
Week of Sep 12
Week of Sep 05
Week of Aug 29
By Topic
By News Partner
Gas News
News Customization
Feedback

 

Pro Plus(+)


Add on products to your professional subscription.
  • Energy Archive News
  •  



    Home > News > Power News > News Article

    Share by Email E-mail Printer Friendly Print

    How artificial intelligence could lower nuclear energy costs


    August 12, 2022 - CE Noticias Financieras

     

      Nuclear power plants provide large amounts of electricity without releasing planet-warming pollution. But the expense of running these plants has made it difficult for them to stay open. If nuclear is to play a role in the U.S. clean energy economy, costs must come down. Scientists at the U.S. Department of Energy& (DOE) Argonne National Laboratory are devising systems that could make nuclear energy more competitive using artificial intelligence.

      Nuclear power plants are expensive in part because they demand constant monitoring and maintenance to ensure consistent power flow and safety. Argonne is midway through a $1 million, three-year project to explore how smart, computerized systems could change the economics.

      «Operation and maintenance costs are quite relevant for nuclear units, which currently require large site crews and extensive upkeep,» said Roberto Ponciroli, a principal nuclear engineer at Argonne. «We think that autonomous operation can help to improve their profitability and also benefit the deployment of advanced reactor concepts.»

      The project, funded by the DOE Office of Nuclear Energy& Nuclear Energy Enabling Technologies program, aims to create a computer architecture that could detect problems early and recommend appropriate actions to human operators. The technology could save the nuclear industry more than $500 million a year, Ponciroli and colleagues estimate.

      A typical nuclear plant can hold hundreds of sensors, all of them monitoring different parts to make sure they are working properly.

      «In a world where decisions are made according to data, it& important to know that you can trust your data,» Ponciroli said. «Sensors, like any other component, can degrade. Knowing that your sensors are functioning is crucial.»

      The job of inspecting each sensor--and also the performance of system components such as valves, pumps, heat exchangers--currently rests with staff who walk the plant floor. Instead, algorithms could verify data by learning how a normal sensor functions and looking for anomalies.

      Having validated a plant& sensors, an artificial intelligence system would then interpret signals from them and recommend specific actions.

      «The lower-level tasks that people do now can be handed off to algorithms,» said Richard Vilim, an Argonne senior nuclear engineer. «We& trying to elevate humans to a higher degree of situational awareness so that they are observers making decisions.»

    TOP

    Other Articles - Generation


    TOP

       Home  -  Feedback  -  Contact Us  -  Safe Sender  -  About Energy Central   
    Copyright © 1996-2022 by CyberTech, Inc. All rights reserved.
    Energy Central® and Energy Central Professional® are registered trademarks of CyberTech, Incorporated. Data and information is provided for informational purposes only, and is not intended for trading purposes. CyberTech does not warrant that the information or services of Energy Central will meet any specific requirements; nor will it be error free or uninterrupted; nor shall CyberTech be liable for any indirect, incidental or consequential damages (including lost data, information or profits) sustained or incurred in connection with the use of, operation of, or inability to use Energy Central. Other terms of use may apply. Membership information is confidential and subject to our privacy agreement.