PolyPole-1: An accurate numerical algorithm for intra-granular fission gas release

• A new numerical algorithm (PolyPole-1) for intra-granular fission gas release in time-varying conditions is developed.
• The concept combines the modal analytic solution for constant conditions and a polynomial correction.
• PolyPole-1 is extensively verified and compared to other state-of-the-art algorithms.
• PolyPole-1 exhibits a superior accuracy and a similar computational time relative to other algorithms.
• The PolyPole-1 algorithm can be implemented in any fuel performance code.

The transport of fission gas from within the fuel grains to the grain boundaries (intra-granular fission gas release) is a fundamental controlling mechanism of fission gas release and gaseous swelling in nuclear fuel. Hence, accurate numerical solution of the corresponding mathematical problem needs to be included in fission gas behaviour models used in fuel performance codes. Under the assumption of equilibrium between trapping and resolution, the process can be described mathematically by a single diffusion equation for the gas atom concentration in a grain. In this paper, we propose a new numerical algorithm (PolyPole-1) to efficiently solve the fission gas diffusion equation in time-varying conditions. The PolyPole-1 algorithm is based on the analytic modal solution of the diffusion equation for constant conditions, combined with polynomial corrective terms that embody the information on the deviation from constant conditions. The new algorithm is verified by comparing the results to a finite difference solution over a large number of randomly generated operation histories. Furthermore, comparison to state-of-the-art algorithms used in fuel performance codes demonstrates that the accuracy of PolyPole-1 is superior to other algorithms, with similar computational effort. Finally, the concept of PolyPole-1 may be extended to the solution of the general problem of intra-granular fission gas diffusion during non-equilibrium trapping and resolution, which will be the subject of future work.