Abstract
Verifying a nodal neutronics solution against a Monte Carlo reference solution over multiple fuel cycles is a difficult task. This article describes the extension of the neutronics solvers Serpent and Ants as well as the reactor simulator Cetus in the Kraken framework for multi-cycle simulations with automated fuel shuffling. In order to verify the Ants reduced order solution with the Serpent high fidelity solution in manageable time, a new cycle replay capability is implemented. The cycle replay capability models the fuel-cycle depletion based on thermal hydraulic fields and reactor stored during an earlier fuel-cycle simulation. The capabilities are demonstrated in the context of control the LDR lite benchmark, which describes a boron free light water small modular reactor. The new Serpent related capabilities should prove useful for any users working with multi-cycle simulations or fuel shuffling.
| Original language | English |
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| Title of host publication | Proceedings of the International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering, M and C 2025 |
| Publisher | American Nuclear Society (ANS) |
| Pages | 2196-2205 |
| Number of pages | 10 |
| ISBN (Electronic) | 978-0-89448-222-9 |
| DOIs | |
| Publication status | Published - 2025 |
| MoE publication type | A4 Article in a conference publication |
| Event | International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering, M&C 2025 : Elevating Peak Performance - The Westin Denver Downtown, Denver, United States Duration: 27 Apr 2025 → 30 Apr 2025 https://www.ans.org/meetings/mc2025/ |
Conference
| Conference | International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering, M&C 2025 |
|---|---|
| Country/Territory | United States |
| City | Denver |
| Period | 27/04/25 → 30/04/25 |
| Internet address |
Funding
This work has received funding from the DECAPOD project under the National Nuclear Safety and Waste Management Research Programme – SAFER2028.