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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.
I. Kodeli, A. Milocco, A. Trkov
Nuclear Technology | Volume 168 | Number 3 | December 2009 | Pages 965-969
Miscellaneous | Special Issue on the 11th International Conference on Radiation Shielding and the 15th Topical Meeting of the Radiation Protection and Shielding Division (PART 3) / Radiation Measurements and Instrumentation | doi.org/10.13182/NT09-A9334
Articles are hosted by Taylor and Francis Online.
Several benchmark experiments performed in the past using the time-of-flight technique are stored in the SINBAD database distributed by the Nuclear Energy Agency Data Bank (e.g., OKTAVIAN, FNS, and IPPE benchmarks). These benchmarks proved to be useful for the validation of the computer codes and nuclear data evaluations, but some expertise is required from the users for the proper modeling and interpretation of the problems. The iron spheres experiment carried out in the 14-MeV facility at IPPE, Obninsk, Russia, was proposed as one of the problems in the scope of the Coordinated Network for Radiation Dosimetry (CONRAD) project sponsored by the European Commission within its 6th Framework Programme. The objective was to test the skills of the participants in the use of the computer codes and the nuclear data but also to obtain feedback information on how suitable the information contained in SINBAD is for the nowadays users and the computer codes. Outcomes of the intercomparison provide guidance for the future compilations in order to facilitate the use of the experimental data.