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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.
Bernard André, Gérard Ducros, Jean Pierre Lévêque, Morris F. Osborne, Richard A. Lorenz, Denis Maro
Nuclear Technology | Volume 114 | Number 1 | April 1996 | Pages 23-50
Technical Paper | Nuclear Reactor Safety | doi.org/10.13182/NT96-A35221
Articles are hosted by Taylor and Francis Online.
During the 1970s, reactor safety authorities developed increasing interest in methods for accurately predicting the extent of hazards associated with severe accidents in light water reactors (LWRs). In response to these concerns, out-of-pile experimental projects were initiated by the U.S. Nuclear Regulatory Commission and the French Nuclear Protection and Safety Institute, at Oak Ridge National Laboratory (ORNL) and the Commissariat à l’Energie Atomique (CEA), respectively. Both experimental efforts were designed for source term characterization of the fission products (FPs) released from LWR fuel samples under test conditions representative of severe accidents, i.e., in oxidizing or reducing atmospheres at temperatures up to 2700 K (at ORNL) and 2570 K (at CEA). The experimental devices, procedures, and parameters are described. The combined database of available results is summarized and related to experimental conditions. Using Booth diffusion theory, diffusion coefficients of the FPs were calculated, and their evolution with temperatures in the 1070 to 2700 K range were plotted. The results show the good agreement between the independently determined ORNL and CEA FP diffusion coefficient values. By plotting the data in Arrhenius fashion, it has been possible to do the following: