MODELING STUDIES AND CODE-TO-CODE COMPARISONS FOR PRESSURE TUBE HEAVY WATER REACTOR CORES

IF 0.6
Huiping Yan, B. Bromley, C. Dugal, A. V. Colton
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Abstract

Preliminary, conceptual studies have been performed previously using deterministic lattice physics (WIMS-AECL) and core physics codes (RFSP) to estimate performance and safety characteristics of various thorium-based fuels and uranium-based fuels augmented by small amounts of thorium for use in pressure tube heavy-water reactors (PT-HWRs). To confirm the validity of the results, the WIMS-AECL/RFSP results are compared against predictions made with the stochastic neutron transport code MCNP. This paper describes the development of a method for setting up an MCNP core model of at PT-HWR for comparison with WIMS-AECL/RFSP results, using a core with 37-element natural uranium fuel bundles as a test case for sensitivity studies. These studies included evaluating the sensitivity of the bias of the effective neutron multiplication factor (keff), a source convergence study, uncertainties correction with multiple independent simulations, the impact of irradiation map binning methods, and the impact of reflector models. A Python-based software scripting tool was developed to automate the creation, execution, and post-processing of reactor physics data from the MCNP models. The software tool and algorithm for creating an MCNP core model using data from the WIMS-AECL and RFSP models are described in this paper. Based on the preliminary evaluations of the simulation parameters with the base model, reactor physics analyses were performed for PT-HWR cores with thorium-based fuels in a 35-element bundle type. Code-to-code results demonstrate good agreement between MCNP and RFSP, giving confidence in the method developed and its applicability to other fuels and core types.
压力管式重水堆堆芯的建模研究和代码间比较
先前已经使用确定性晶格物理(WIMS-AECL)和堆芯物理代码(RFSP)进行了初步的概念研究,以估计用于压力管重水反应堆(PT HWR)的各种钍基燃料和添加少量钍的铀基燃料的性能和安全特性。为了证实结果的有效性,将WIMS-AECL/RFSP结果与用随机中子输运代码MCNP进行的预测进行了比较。本文介绍了一种建立at PT-HWR的MCNP堆芯模型的方法,用于与WIMS-AECL/RFSP结果进行比较,使用37元素天然铀燃料束的堆芯作为灵敏度研究的测试案例。这些研究包括评估有效中子倍增因子(keff)偏差的敏感性、源收敛研究、多重独立模拟的不确定性校正、辐射图装仓方法的影响以及反射器模型的影响。开发了一个基于Python的软件脚本工具,用于自动创建、执行和后处理MCNP模型中的反应堆物理数据。本文描述了使用WIMS-AECL和RFSP模型的数据创建MCNP核心模型的软件工具和算法。在用基本模型对模拟参数进行初步评估的基础上,对35元素束型钍基燃料的PT-HWR堆芯进行了反应堆物理分析。代码对代码的结果证明了MCNP和RFSP之间的良好一致性,使人们相信所开发的方法及其对其他燃料和堆芯类型的适用性。
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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来源期刊
CNL Nuclear Review
CNL Nuclear Review NUCLEAR SCIENCE & TECHNOLOGY-
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