Estimating the response times of human operators working in the main control room of nuclear power plants based on the context of a seismic event – A case study

Park, Jinkyun; Kim, Yochan; Kim, Jung Han; Jung, Woo‐Sik; Jang, Seung-Cheol

doi:10.1016/j.anucene.2015.03.053

Cited by 16 publications

(10 citation statements)

References 21 publications

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“…Many aspects of operator response to seismic events have been characterized in HRA (Park et al, 2015;EPRI, 2012). Presley et al (2013aPresley et al ( & 2013b have performed some additional analyses using the EPRI method.…”

Section: Hra Characterization Of Mcr Operator Response To Sbo and Floodingmentioning

confidence: 99%

“…Presley et al (2013aPresley et al ( & 2013b have performed some additional analyses using the EPRI method. Both Park et al (2015) and the preliminary HRA approach developed by the Electric Power Research Institute (EPRI; 2012) focused on the increased response times in operator actions as a result of a seismic event. Park et al (2015) in particular attempted to quantify the appropriate time delays for diagnosis and action for main control room and field operators under four different levels of seismic damage.…”

Section: Hra Characterization Of Mcr Operator Response To Sbo and Floodingmentioning

confidence: 99%

“…Both Park et al (2015) and the preliminary HRA approach developed by the Electric Power Research Institute (EPRI; 2012) focused on the increased response times in operator actions as a result of a seismic event. Park et al (2015) in particular attempted to quantify the appropriate time delays for diagnosis and action for main control room and field operators under four different levels of seismic damage. Their quantification factored in the operator's stress level and degree to which reliable and valid information about the plant's state could be ascertained (e.g., level of information ambiguity given the availability of functioning I&C).…”

Section: Hra Characterization Of Mcr Operator Response To Sbo and Floodingmentioning

confidence: 99%

“…While the Park et al (2015) analysis is insightful and instructive, its applicability and overlap with the focus of this research is somewhat limited. For example, the first 3 levels of seismic severity in the Park et al (2015) analyses examine operator actions under less severe accident conditions than our situation.…”

Section: Hra Characterization Of Mcr Operator Response To Sbo and Floodingmentioning

confidence: 99%

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Proof-of-Concept Demonstrations for Computation-Based Human Reliability Analysis. Modeling Operator Performance During Flooding Scenarios

Joe

Boring

Herberger

et al. 2015

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The United States (U.S.) Department of Energy (DOE) Light Water Reactor Sustainability (LWRS) program has the objective to develop technologies and other solutions that can improve the reliability, sustain the safety, and extend the life of the current reactors. To accomplish this program objective, there are multiple LWRS "pathways," or research and development (R&D) focus areas. One LWRS focus area is called the Risk-Informed Safety Margin Characterization (RISMC) Pathway. RISMC R&D primarily focuses on qualitatively and quantitatively characterizing risk specifically in terms of safety margin. The RISMC approach probabilistically combines riskassessment with multi-physics models of plant physical processes (e.g., thermal-hydraulic models) that govern aging and degradation of systems, structures, and components (SSCs) in order to better optimize plant safety and performance. Initial efforts to combine probabilistic and plant multi-physics models to quantify safety margins included simplified human reliability analysis (HRA). HRA researchers at Idaho National Laboratory have been collaborating with other risk analysts to develop a computational HRA approach, called the Human Unimodel for Nuclear Technology to Enhance Reliability (HUNTER), for inclusion into the RISMC framework. The HUNTER computational HRA method is a hybrid approach that leverages past work from cognitive psychology, human performance modeling, and HRA, but it is also a departure from existing static and even dynamic HRA methods. The basic premise of this research is to leverage applicable computational techniques, namely simulation and modeling, to develop and then, using the Risk Analysis in a Virtual Environment (RAVEN) as a controller, seamlessly integrate virtual operator models created in HUNTER with 1) the Multiphysics Object Oriented Simulation Environment (MOOSE) as a runtime environment that includes a full-scope plant model, and 2) the RISMC risk models already developed. This report is divided into five chapters that cover the development of an external flooding event example and associated statistical modeling considerations. The first chapter is an overview of RISMC and the HUNTER computational HRA approach. Chapter 2 is a flooding event case study that significantly affected main control room and auxiliary operator performance. Chapter 3 addresses statistical modeling considerations for the development of HUNTER. And finally, Chapter 4 discusses the path forward for the next phase of RISMC research on computation-based HRA.

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Section: Hra Characterization Of Mcr Operator Response To Sbo and Floodingmentioning

confidence: 99%

Section: Hra Characterization Of Mcr Operator Response To Sbo and Floodingmentioning

confidence: 99%

Section: Hra Characterization Of Mcr Operator Response To Sbo and Floodingmentioning

confidence: 99%

Section: Hra Characterization Of Mcr Operator Response To Sbo and Floodingmentioning

confidence: 99%

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Proof-of-Concept Demonstrations for Computation-Based Human Reliability Analysis. Modeling Operator Performance During Flooding Scenarios

Joe

Boring

Herberger

et al. 2015

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“…Company aspects, the personal characteristics of the worker and his/her qualification/training, the complexity of the tasks under existing environmental conditions (temperature, noise, lighting, smells, etc.) and the human-machine interface are some of the PSFs normally considered [5], [6], [10]- [13].…”

Section: Introductionmentioning

confidence: 99%

The Effect of Psychotropic Drugs as a Performance Influencing Factor on Human Reliability Assessment

et al. 2020

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The increasing use/abuse of psychotropic drugs is an alarming social phenomenon with repercusions in many areas, especially in reliability engineering. The aim of this paper is to present a method developed by a multidisciplinary team composed of ergonomists, psychiatrists, information technologists, and reliability engineers to quantitatively consider the impact of psychotropic drugs on the assessment of human reliability of Operation and Maintenance (O&M) personnel of a hydroelectric plant. To achieve the proposed objective, the first step was the identification of drugs that affect the psychic-cognitive/sensory and motor functions as a side effect and the frequency (probability of occurrence) of the effect. This was done mining public and private drug databases. A qualitative (symbolic) scale later translated into numerical values was used to quantify the impact of each drug on the affected functions. At the same time, O&M tasks were broken down into observable activity sequences, recording the frequency of each activity on each task (Task Analysis). Then, the relationship between each activity and the sensory-cognitive-motor psychic functions was established, based on the knowledge and experience of the team involved. Again a qualitative (symbolic) scale was defined and later transformed into a numerical scale. As a result, the first version of a drug effect-task knowledge database (KDB) was built with the symbolic and numerical values assigned to all relationships between the different model elements. Although the KDB needs to be systematically reviewed and updated by a broader network of ergonomists and psychiatrists, it has served as proof of concept and a starting point for the development of a human risk management tool for hydroelectric power plants. The last step was to calculate a new Performance Shaping Factor (PSF) due to Psychotropic Drugs Use (PDU), for each drug in each of the O&M tasks. In a preliminary assessment of the inclusion of PDU-PSF with three common methods of Human Reliability Assessment (HRA), we found an increased risk of human failure ranging from approximately 15% to 35%, depending on the HRA method. The case study used to illustrate the method considered a routine operator inspection task using an antidepressant drug. The proposed method can be updated for new drugs and can be refined/customized for other high-risk human activities such as oil and gas and petrochemical industries, nuclear power plants, aviation, and surgery, among others. INDEX TERMS Human error analysis, reliability, task analysis, psychotropic drugs, human reliability.

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A Fuzzy Modeling Application for Human Reliability Analysis in the Process Industry

Nivolianitou

Konstantinidou

2017

Human Factors and Reliability Engineering for Safety and Security in Critical Infrastructures

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Estimating the response times of human operators working in the main control room of nuclear power plants based on the context of a seismic event – A case study

Cited by 16 publications

References 21 publications

Proof-of-Concept Demonstrations for Computation-Based Human Reliability Analysis. Modeling Operator Performance During Flooding Scenarios

Proof-of-Concept Demonstrations for Computation-Based Human Reliability Analysis. Modeling Operator Performance During Flooding Scenarios

The Effect of Psychotropic Drugs as a Performance Influencing Factor on Human Reliability Assessment

A Fuzzy Modeling Application for Human Reliability Analysis in the Process Industry

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