Generating optimal reloading patterns for CNPGS Unit-3 core using multi-objective elitist teaching-learning-based optimizer

IF 3.3 3区工程技术 Q1 NUCLEAR SCIENCE & TECHNOLOGY

Progress in Nuclear Energy Pub Date : 2024-10-18 DOI:10.1016/j.pnucene.2024.105507

Nadeem Shaukat , Amjad Ali , Ammar Ahmad , Ouadie Kabach , Khaled Al-Athel , Afaque Shams

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引用次数: 0

Abstract

Pressurized Water Reactors (PWRs) management presents the core reloading pattern optimization as a significant problem that contributes to the improvement of reactor productivity and optimal fuel utilization with considering safety conditions. In present study, Multi-Objective Elitist Teaching-Learning-Based Optimization (MO-ETLBO) technique is suggested to cope up the multi-objective reloading optimization problem of the Chashma Nuclear Power Generating Station (CNPGS) unit-3 core. A multivariable objective function is designed to evaluate the quality of each loading pattern while maximizing critical boron concentration (CBC), minimizing the power peaking factor (PPF), and optimally enhancing the cycle length while ensuring adequate safety margins and design limits. It has been found that the equilibrium cycle can be extended to 16.07 extended full power days (EFPDs) while maintaining the PPF and CBC within design limits. To validate the effectiveness of TLBO, the optimized loading pattern of the equilibrium core was evaluated using the deterministic computer code DONJON5, for neutronic parameter analysis. The results show that the algorithm proposed in this study is a promising approach for reloading pattern optimization in CNPGS unit-3, offering potential improvements in reactor cycle length while ensuring safety and enhancing overall performance.

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利用基于教学-学习的多目标精英优化器生成 CNPGS Unit-3 核心的最佳重装模式

压水堆（PWR）管理中，堆芯重装模式优化是一个重要问题，它有助于提高反应堆的生产率，并在考虑安全条件的情况下优化燃料利用。本研究建议采用多目标精益教学法优化（MO-ETLBO）技术来解决恰希玛核电站（CNPGS）3 号机组堆芯的多目标重装优化问题。设计了一个多变量目标函数，以评估每种装料模式的质量，同时最大化临界硼浓度（CBC）、最小化功率峰值因数（PPF），并在确保足够的安全裕度和设计限值的情况下优化循环长度。研究发现，平衡周期可延长至 16.07 个延长全功率日 (EFPD)，同时将 PPF 和 CBC 保持在设计限值内。为了验证 TLBO 的有效性，使用确定性计算机代码 DONJON5 对平衡堆芯的优化加载模式进行了评估，以进行中子参数分析。结果表明，本研究提出的算法是 CNPGS 3 号机组重新装料模式优化的一种有前途的方法，在确保安全和提高整体性能的同时，还有可能改善反应堆的周期长度。

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

Progress in Nuclear Energy 工程技术-核科学技术

CiteScore

5.30

自引率

14.80%

发文量

331

审稿时长

3.5 months

期刊介绍： Progress in Nuclear Energy is an international review journal covering all aspects of nuclear science and engineering. In keeping with the maturity of nuclear power, articles on safety, siting and environmental problems are encouraged, as are those associated with economics and fuel management. However, basic physics and engineering will remain an important aspect of the editorial policy. Articles published are either of a review nature or present new material in more depth. They are aimed at researchers and technically-oriented managers working in the nuclear energy field. Please note the following: 1) PNE seeks high quality research papers which are medium to long in length. Short research papers should be submitted to the journal Annals in Nuclear Energy. 2) PNE reserves the right to reject papers which are based solely on routine application of computer codes used to produce reactor designs or explain existing reactor phenomena. Such papers, although worthy, are best left as laboratory reports whereas Progress in Nuclear Energy seeks papers of originality, which are archival in nature, in the fields of mathematical and experimental nuclear technology, including fission, fusion (blanket physics, radiation damage), safety, materials aspects, economics, etc. 3) Review papers, which may occasionally be invited, are particularly sought by the journal in these fields.