High-fidelity simulations of the run-in process for a pebble-bed reactor

Author:

Stewart RyanORCID,Balestra Paolo,Reger DavidORCID,Merzari Elia,Strydom Gerhard

Funder

Office of Nuclear Energy

U.S. Department of Energy

Publisher

Elsevier BV

Subject

Nuclear Energy and Engineering

Reference28 articles.

1. Anon, 2020. PBMR-400 benchmark solution of exercise 1 and 2 using the moose based applications: MAMMOTH, Pronghorn. In: Proceedings of PHYSOR 2020: Transition To a Scalable Nuclear Future. Cambridge, United Kingdom.

2. A control approach investigation of the xe-100 plant to perform load following within the operational range of 100–25–100%;Brits;Nucl. Eng. Des.,2018

3. Chowdhury, S., Stewart, R., Kerby, L., 2023. Utilizing Machine Learning to Model and Analyze the Run-In Scenario of a Pebble Bed Reactor. In: Proceedings of M&C 2023 - the International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering.

4. Burnup computations of multi-pass fuel loading scenarios in HTR-10 using a pre-generated fuel composition library;Hong;Nucl. Eng. Des.,2021

5. Kugeler, K., Nabielek, H., Buckthorpe, D., Scheuermann, W., Haneklaus, N., Fuetterer, M., 2017. The High Temperature Gas-Cooled Reactor. Luxembourg (Luxembourg), ISBN: 978-92-79-71312-5 (print),978-92-79-71311-8 (online).

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