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fuel-cycle-python

This is an open-source version of the fuel cycle model described in Meschini et al., 2023. The code models and simulates the various components of the fuel cycle in a nuclear fusion plant. Its primary objective is to determine the startup tritium inventory and the Tritium Breeding Ratio (TBR) required to achieve a specified doubling time, defined as the period necessary to double the initial tritium inventory.

References

Meschini, S., Ferry, S. E., Delaporte-Mathurin, R., & Whyte, D. G. (2023). Modeling and analysis of the tritium fuel cycle for ARC-and STEP-class DT fusion power plants. Nuclear Fusion, 63(12), 126005.

Meschini, S., Delaporte-Mathurin, R., Tynan, G. R., & Ferry, S. (2025). Impact of trapping on tritium self-sufficiency and tritium inventories in fusion power plant fuel cycles. Nuclear Fusion.

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