Study of energy deposition in the coolant of LFR

Maria Susini, Sacha Barré, Daniele Tomatis, Stefano Argirò
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Abstract

The determination of the fraction of energy deposited in the coolant is required for the setup of accurate thermal-hydraulic calculations in reactor core analysis. This study focuses on assessing this fraction and analysing the neutronic and photonic processes contributing to energy deposition in Lead-cooled Fast Reactors (LFRs). Using OpenMC, coupled neutron-photon transport calculations were performed within a fuel pin cell geometry, representative of the one under development at \textsl{new}cleo. Additionally, the implementation of lattice geometry was tested to gauge the impact of reflective boundary conditions on computational efficiency. In the context of a surface-based algorithm, the pin geometry has proven to be computationally more cost-effective. The fraction of energy deposited in the LFR coolant was evaluated at $\sim5.6$\%, surpassing that of pressurised water Reactors ($\lessapprox 3\%$), with photon interactions emerging as the principal contributor. The influence of bremsstrahlung radiation was also considered, revealing minor impact compared to other photonic processes. Given the continuous exploration of various core designs and the expectation of diverse operational conditions, a parametric analysis was undertaken by varying the coolant temperature and pitch values. Temperature changes did not significantly affect the results, while modifying the pitch induced a rise in the fraction of deposited energy in lead, highlighting its dependence on the coolant mass. This mass effect was explored in various fuel assembly designs based on the ALFRED benchmark and on the typical assembly model proposed by \textsl{new}cleo, leading to a correlation function for the prediction of coolant heating in realistic assemblies from simple pin cell calculations.
低温冷冻机冷却剂中的能量沉积研究
要在堆芯分析中进行精确的热-水力计算,就必须确定沉积在冷却剂中的能量比例。本研究的重点是评估这部分能量,并分析导致铅冷快堆(LFR)能量沉积的中子和光子过程。使用OpenMC,在燃料针状电池几何形状中进行了中子-光子耦合传输计算,该几何形状代表了textsl{new}cleo正在开发的燃料针状电池。此外,还测试了晶格几何的实施情况,以衡量反射边界条件对计算效率的影响。在基于表面的算法中,针形几何被证明在计算上更具成本效益。经评估,沉积在低温冷冻堆冷却剂中的能量比例为5.6%,超过了加压水反应堆(3%),光子相互作用成为主要贡献者。此外,还考虑了轫致辐射的影响,发现与其他光子过程相比,轫致辐射的影响较小。鉴于对各种堆芯设计的不断探索以及对不同运行条件的预期,我们通过改变冷却剂温度和间距值进行了参数分析。温度变化对结果影响不大,而改变间距会导致铅中沉积能量的比例上升,突出了其对冷却剂质量的依赖性。基于ALFRED基准和textsl{new}cleo提出的典型组件模型,在各种燃料组件设计中探索了这种质量效应,从而得出了一个相关函数,用于通过简单的针槽计算预测现实组件中的冷却剂加热。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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