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LLNL, Ampera partner to develop thorium-based TRISO fuel
Lawrence Livermore National Laboratory has formed a strategic partnership with Ampera to develop the company’s nuclear fuel concept through a project named THUNDER, for Thorium Unimodal Droplet Ejection for Reactors.
The focus of THUNDER is fabricating TRISO made with kernels of thorium rather than the usual uranium. LLNL and Ampera will evaluate and optimize liquid metal–jetting technology to produce highly uniform, spherical kernels of thorium-232 for later processing into TRISO fuel.
H. M. Hashemian, C. J. Kiger, G. W. Morton, B. D. Shumaker
Nuclear Technology | Volume 173 | Number 1 | January 2011 | Pages 8-16
Technical Note | NPIC&HMIT Special / Nuclear Plant Operations and Control | doi.org/10.13182/NT11-1
Articles are hosted by Taylor and Francis Online.
Wireless sensors are becoming very popular in industrial processes for measurement and control, condition monitoring, predictive maintenance, and management of operational transients and accidents. In the last five years, many sensor manufacturers have teamed up with companies who make wireless transmitters, receivers, and network equipment to provide industrial facilities with integrated networks of wireless sensors that can be used to measure process temperature, pressure, vibration, humidity, and other parameters to improve process safety and efficiency, increase output, and optimize maintenance activities. Historically, the nuclear industry has been slower than others in implementing new technologies - wireless technologies are no exception. This is of course justified, as nuclear research and power reactors must perform a more thorough "due diligence" than other industries before they can adopt a new technology because of the increased safety and licensing requirements.This paper reports on a research and development (R&D) effort sponsored by the U.S. Department of Energy (DOE) under the Small Business Innovation Research (SBIR) program to implement wireless sensors for equipment condition monitoring and other applications in nuclear power plants. The project is being demonstrated through the development and implementation of a system that integrates signals from existing wired sensors and new wireless sensors to facilitate a holistic view of the health of equipment and processes in nuclear power reactors.