A review of the FLEX strategy for nuclear safety

Xu, Hòng; Zhang, Baorui

doi:10.1016/j.nucengdes.2021.111396

Cited by 11 publications

(4 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To effectively alleviate potential safety apprehensions tied to nuclear power, rigorous safety protocols, thorough risk assessments, and ongoing monitoring must be implemented. Concurrently, investment in research and development is crucial to enhance safety technologies, thereby bolstering the safety benefits of nuclear energy compared to other energy alternatives (Xu & Zhang, 2021). Facilitating transparent communication with the public and stakeholders is vital to amplify comprehension and confidence in nuclear power plants' safety measures and risk management.…”

Section: Josiamentioning

confidence: 99%

Analysis of Nuclear Energy for Future Power Plants in Indonesia: An Assessment for Sustainable Energy Development

Josia

2023

JISDeP

View full text Add to dashboard Cite

Indonesia has been investing in expanding its power generation capacity to meet increasing needs. There is an ongoing demand for a new source of energy that is reliable, affordable, safe, and clean. This research has assessed the feasibility on implementing nuclear power plants in Indonesia using systematic literature review based on a comprehensive SWOT analysis, IFE/EFE matrix analysis, and TOWS analysis. The obtained result is that the impacts of internal and external factors are assessed as moderate-positive and positive, respectively. The research implies that strategies regarding investments, benefits, waste management, and collaborations with other alternative energy sources can significantly maximize the benefits and overcome challenges. This study contributes to the understanding of nuclear energy implementation in Indonesia and provides insights for policymakers, stakeholders, and researchers seeking to explore and promote sustainable energy solutions in an urgent need regarding increasing energy demand.

show abstract

Section: Josiamentioning

confidence: 99%

Analysis of Nuclear Energy for Future Power Plants in Indonesia: An Assessment for Sustainable Energy Development

Josia

2023

JISDeP

View full text Add to dashboard Cite

show abstract

“…In the aftermath of the Fukushima accident and its implications for public acceptance of nuclear energy, the Nuclear Energy Institute (NEI) of the United States proposed the concept of Diverse and Flexible Coping Strategies (FLEX) and the corresponding FLEX Support Guidelines (FSG) for special accidents caused by external events. Subsequently, the concept of the FLEX strategy was widely accepted and disseminated, (Xu and Zhang, 2021). The project includes a series of studies on the development of FLEX strategies that can be used to respond to beyond-design-basis external events.…”

Section: Introductionmentioning

confidence: 99%

Uncertainty study of LOCA accidents for developing FLEX strategy in nuclear power plants

DUO,

HUANG,

2024

Mechanical Engineering Journal

Self Cite

View full text Add to dashboard Cite

As an aftermath of the Fukushima nuclear accident and its implications for public acceptance of nuclear energy, the nuclear industry has begun to seriously rethink and improve the safety strategies of nuclear power plants. The beyond-design-basis external events, such as the earthquake and tsunami in Fukushima nuclear accident, may lead to an extreme accident which may lead to the failure of the traditional strategies. In the recent decade, the concept of FLEX strategies has been accepted in the nuclear engineering community and attracted a large number of researchers to investigate it for nuclear accident mitigation. The development of FLEX strategies is divided into two steps. One is an uncertainty study of system response, especially the safety injection system. The other is training and testing of machine learning (ML)-based FLEX strategies and to verify the effectiveness of ML algorithms in the development of FLEX strategies for nuclear power plants. This paper focuses on first step uncertainty study of the nuclear accidents by using statistical algorithm to generate a database of incidents and system responses. The conclusion of this paper is useful for analyzing the characteristic of typical nuclear accidents and benefits to the FLEX strategy development, which will be focused on in the near future.

show abstract

“…The safety systems of NPPs have undergone extensive development after facing unexpected accidents. For instance, research on human reliability has been actively conducted since the Three Mile Island accident, and countermeasures to the extended loss of alternating current power have been discussed after the Fukushima Daiichi accident [2,3]. According to Korea's operational performance information system for nuclear power plants, unexpected shutdowns of reactors due to human error amount to about 20 percent of all shutdowns, and to cope with human error, some studies have been conducted to support MCR operators in abnormal transients using artificial intelligence (AI) based on improved computing resources [4,5].…”

Section: Introductionmentioning

confidence: 99%

Multi-Abnormality Attention Diagnosis Model Using One-vs-Rest Classifier in a Nuclear Power Plant

Cho

Choi

Shin

et al. 2023

JNE

View full text Add to dashboard Cite

Multi-abnormal events, referring to the simultaneous occurrence of multiple single abnormal events in a nuclear power plant, have not been subject to consideration because multi-abnormal events are extremely unlikely to occur and indeed have not yet occurred. Such events, though, would be more challenging to diagnose than general single abnormal events, exacerbating the human error issue. This study introduces an efficient abnormality diagnosis model that covers multi-abnormality diagnosis using a one-vs-rest classifier and compares it with other artificial intelligence models. The multi-abnormality attention diagnosis model deals with multi-label classification problems, for which two methods are proposed. First, a method to effectively cluster single and multi-abnormal events is introduced based on the predicted probability distribution of each abnormal event. Second, a one-vs-rest classifier with high accuracy is employed as an efficient way to obtain knowledge on which particular multi-abnormal events are the most difficult to diagnose and therefore require the most attention to improve the multi-label classification performance in terms of data usage. The developed multi-abnormality attention diagnosis model can reduce human errors of operators due to excessive information and limited time when unexpected multi-abnormal events occur by providing diagnosis results as part of an operator support system.

show abstract

A review of the FLEX strategy for nuclear safety

Cited by 11 publications

References 34 publications

Analysis of Nuclear Energy for Future Power Plants in Indonesia: An Assessment for Sustainable Energy Development

Analysis of Nuclear Energy for Future Power Plants in Indonesia: An Assessment for Sustainable Energy Development

Uncertainty study of LOCA accidents for developing FLEX strategy in nuclear power plants

Multi-Abnormality Attention Diagnosis Model Using One-vs-Rest Classifier in a Nuclear Power Plant

Contact Info

Product

Resources

About