Monte Carlo Simulation of the UK’s First EPR Nuclear Reactor Startup Core Using Serpent

Li, Jinfeng

doi:10.20944/preprints202008.0111.v1

Cited by 4 publications

(1 citation statement)

References 10 publications

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“…It is worth mentioning that comparing Monte Carlo base codes (such as Serpent and MCNP6) with traditional deterministic methods (such as DRAGON), the Monte Carlo method rely on fewer approximations, e.g., no discretization of space or energy required. But, this results in a higher computational cost and a longer running time [11][12][13], especially for 3D full-core burnup calculations. In the case of our investigation layout, the number of investigated burnable materials and configuration is high so time cost is so important.…”

Section: Methodsmentioning

confidence: 99%

AP1000 fuel assembly reactivity flattening using a novel candidate composite burnable absorber

Khoshahval

2021

Eur. Phys. J. Plus

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To increase fuel utilization and decrease the total cost of a nuclear reactor, it is ideal to prolong the core lifetime of a nuclear reactor as high as possible. Burnable poisons (with large neutron absorption cross sections) play a great role in this process. Burnable poisons' material, amount, concentration, and location inside the fuel assembly, as well as inside the reactor core, are the variable parameters that the designer of a pressurized water reactor can employ to attain a desirable core lifetime. In this paper, a new pattern and combination of two well-known poisons are proposed and applied for a standard AP1000 fuel assembly as our case study. The new suggested combinatorial of erbium and gadolinium bearing rods resulted in an excellent performance in less reactivity swing and negative Moderator Temperature Coefficient. The less reactivity swing can, in turn, provide the stability of the infinity multiplication factor. The stability and flattening of the reactivity will lower the cost of conserving the criticality state of the fuel.

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Section: Methodsmentioning

confidence: 99%

AP1000 fuel assembly reactivity flattening using a novel candidate composite burnable absorber

Khoshahval

2021

Eur. Phys. J. Plus

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Design and Control Optimisation of a Novel Bypass-embedded Multilevel Multicell Inverter for Hybrid Electric Vehicle Drives

2020

2020 IEEE 11th International Symposium on Power Electronics for Distributed Generation Systems (PEDG)

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A novel bypass-embedded multilevel multicell inverter is proposed with manipulation of bidirectional flow of currents targeting electric motor drives and regenerative braking (battery recharging) for hybrid electric vehicles. To balance switching losses, maximise DC supply utilisations, balance the state of charge, and minimise total harmonic distortions, the inverter control method is optimised by incorporating phase disposition PWM with variable carrier frequency, third harmonic injection, as well as carrier reordering and reduction schemes. The proposed control scheme is investigated on an 11-level inverter for motor drives of a parallel hybrid electric vehicle with regenerative braking capability. The total harmonic distortion is 1.23% for line voltage, and 1.04% for stator current without filtering networks, i.e. a comparable performance to the states of the arts.

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This article (AETiC V5N1 - Paper #1) has been withdrawn based on the request of the author(s). We apologise for any inconvenience caused.

Li¹

2021

AETiC

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Nuclear reactor core depletion and thermal-hydraulics coupling have long been calculation-intensive tasks challenging both nuclear industry development and academic research projects regarding computing budgets of memory and time. Albeit future evolution in smart computation hardware with artificial intelligence and quantum computing facilities embedded could continuously push the predictive modelling limit, the fundamental reactor physics model will still tip the balance in underpinning the prediction accuracy, as evidenced by a benchmark of two computational models in this work for characterising the depletion of highly self-shielded Gadolinium burnable poison-bearing fuel pins in assessing the British first European Pressurised Reactor’s start-up core performance. Specifically, a sub-group multi-annular-ring method is verified to efficiently represent the self-shielded skin effect, which addresses the deficiencies of classic equivalence models. The subgroup method is subsequently applied into a deterministic neutron transport code and a Monte Carlo stochastic code, respectively, for another benchmark. Resulting discrepancies in power peaking factors for the same assembly are less than 2% for the first fuel cycle, the agreement of which well demonstrates the validity of the proposed subgroup model. At the forefront of efforts to quantitatively understand the burnable poisons’ behaviour precisely for fuel optimisation (e.g., mitigating power peaking), this work could also be advantageously used for training purposes in boosting safety philosophy and public engagement in the roadmap for decarbonisation.

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Monte Carlo Simulation of the UK’s First EPR Nuclear Reactor Startup Core Using Serpent

Cited by 4 publications

References 10 publications

AP1000 fuel assembly reactivity flattening using a novel candidate composite burnable absorber

AP1000 fuel assembly reactivity flattening using a novel candidate composite burnable absorber

Design and Control Optimisation of a Novel Bypass-embedded Multilevel Multicell Inverter for Hybrid Electric Vehicle Drives

This article (AETiC V5N1 - Paper #1) has been withdrawn based on the request of the author(s). We apologise for any inconvenience caused.

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