{"title":"Full-scale demonstration of human reliability analysis framework for TRIGA research reactor","authors":"Wasin Vechgama , Jinkyun Park , Saensuk Wetchagarun , Anantachai Pechrak , Weerawat Pornroongruengchok , Kampanart Silva","doi":"10.1016/j.pnucene.2025.105718","DOIUrl":null,"url":null,"abstract":"<div><div>The Thailand Institute of Nuclear Technology (TINT) and the Korea Atomic Energy Research Institute (KAERI) together developed the human reliability analysis (HRA) framework for the TRIGA research reactor based on the EMpirical data-Based crew Reliability Assessment and Cognitive Error analysis (EMBRACE) and TAsk COMplexity (TACOM) methods with the Human Reliability data EXtraction (HuREX) database for extracting human errors and estimating the human error probabilities (HEPs) of actions during the implementation of emergency operating procedures (EOPs). This study provides a full-scale demonstration of how to use the HRA framework through the Thai Research Reactor-1/Modification 1 (TRR-1/M1) case study to extract human errors of actions and estimate the overall HEPs of the steps and tasks in EOPs. Human error of Type C was mainly gathered as the data source from observations of TRR-1/M1's emergency training. Application of the TACOM method systematically and consistently improved the EOPs by providing how to identify the primitive tasks of human errors using the double-column procedure, the same standard as in nuclear power plants. The HRA event tree from the Technique for Human Error Rate Prediction (THERP) was used to consider human errors without machine or system failures to represent realistic human errors in the estimation of nominal human error probabilities (NHEPs). The highest NHEP task was found to be Task 8 of the loss of coolant accident (LOCA) EOP in error of omission (EOO) mode at 6.929E-01 due to multiple manual operations of valves. Additionally, consideration of performance shaping factors (PSF) significantly increased the HEPs when compared to their NHEPs due to the effects of the complexity of the required task and subjective stress.</div></div>","PeriodicalId":20617,"journal":{"name":"Progress in Nuclear Energy","volume":"184 ","pages":"Article 105718"},"PeriodicalIF":3.3000,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Progress in Nuclear Energy","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0149197025001167","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"NUCLEAR SCIENCE & TECHNOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
The Thailand Institute of Nuclear Technology (TINT) and the Korea Atomic Energy Research Institute (KAERI) together developed the human reliability analysis (HRA) framework for the TRIGA research reactor based on the EMpirical data-Based crew Reliability Assessment and Cognitive Error analysis (EMBRACE) and TAsk COMplexity (TACOM) methods with the Human Reliability data EXtraction (HuREX) database for extracting human errors and estimating the human error probabilities (HEPs) of actions during the implementation of emergency operating procedures (EOPs). This study provides a full-scale demonstration of how to use the HRA framework through the Thai Research Reactor-1/Modification 1 (TRR-1/M1) case study to extract human errors of actions and estimate the overall HEPs of the steps and tasks in EOPs. Human error of Type C was mainly gathered as the data source from observations of TRR-1/M1's emergency training. Application of the TACOM method systematically and consistently improved the EOPs by providing how to identify the primitive tasks of human errors using the double-column procedure, the same standard as in nuclear power plants. The HRA event tree from the Technique for Human Error Rate Prediction (THERP) was used to consider human errors without machine or system failures to represent realistic human errors in the estimation of nominal human error probabilities (NHEPs). The highest NHEP task was found to be Task 8 of the loss of coolant accident (LOCA) EOP in error of omission (EOO) mode at 6.929E-01 due to multiple manual operations of valves. Additionally, consideration of performance shaping factors (PSF) significantly increased the HEPs when compared to their NHEPs due to the effects of the complexity of the required task and subjective stress.
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.
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