The evolution of the Human Systems and Simulation Laboratory in nuclear power research

Hall, Anna; Joe, Jeffrey C.; Miyake, T.; Boring, Ronald L.

doi:10.1016/j.net.2022.10.036

Cited by 4 publications

(7 citation statements)

References 8 publications

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“…Recent findings by Hall and Joe [ 18 ] suggest that industry's attitudes toward some of these perceived barriers may be declining while others are increasing. The authors asked personnel from utilities and the nuclear industry, including vendors and researchers about perspectives of control room modernization.…”

Section: Historical Barriersmentioning

confidence: 99%

“…Figure 6. Foremost barriers to control room modernization (Reproduced with permission from [ 18 ]) Taken together, the historical underpinnings of analog equipment, stagnation in development for several decades, dominant regulatory oversight and events such as Three Mile Island and Chernobyl have led to the industry being the safest energy generation source and with a strong safety culture. This is a crowning achievement and one of which the industry can be proud.…”

Section: Historical Barriersmentioning

confidence: 99%

“…Importantly, HFE scientists at INL can examine vulnerabilities in human-AI interactions using the Human Systems Simulation Laboratory (HSSL), such that the risk-informed PdM outlined in this report can be developed within the existing framework of a utilities' NRC-required cyber program. An outline of cyber-related research activities conducted at the HSSL can be found in [ 18 ].…”

Section: Cybersecuritymentioning

confidence: 99%

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Explainable Artificial Intelligence Technology for Predictive Maintenance

Walker,

Agarwal,

Lin

et al. 2023

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The accomplishments achieved under this research stem from developing innovative solutions that signify advancements in (1) application of AI/ML in nuclear power plants for predictive maintenance, (2) usercentric visualization interface, and (3) quantitative and qualitative measures to achieve explainability and trustworthiness of AI/ML technologies.The report concludes that the development, implementation, and sustainment of advanced AI-guided technologies will require many different types of expertise for maintenance and regulation. Deployment of AI demands bringing together a truly multidisciplinary team of experts to clearly understand broader societal implications.

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Section: Historical Barriersmentioning

confidence: 99%

Section: Historical Barriersmentioning

confidence: 99%

Section: Cybersecuritymentioning

confidence: 99%

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Explainable Artificial Intelligence Technology for Predictive Maintenance

Walker,

Agarwal,

Lin

et al. 2023

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show abstract

“…Importantly, the relationship between security and usability must be well understood so that systems can be engineered to find an appropriate balance. The cyber research works conducted at the Human Systems Simulation Laboratory thus far are documented in Hall et al, (2022).…”

Section: Cybersecuritymentioning

confidence: 99%

Digitalization Guiding Principles and Method for Nuclear Industry Work Processes

Hall,

Miyake,

Joe

et al. 2023

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The commercial U.S. light-water reactor fleet has been operating at historical efficiency, reliability, and safety over the last decade. Nuclear power has the highest capacity factor of any other power generation technology while also serving as the largest baseload source for carbon-free energy. Despite this remarkable achievement, continued operations for many plants are threatened due to fierce electricity market competition and rising operations and maintenance costs of which continued maintenance of obsolete analog equipment is a contributor.

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“…Simulating NPP operations is essential to understand processes both under normal conditions and during accidents [6][7] [8]. Simulators also serve as training facilities for NPP operators.…”

Section: Introduction mentioning

confidence: 99%

An Approach for Integration of User Requirement and Anthropometry Data in The Process Design of Reactor Main Control Room

Setiawan,

Santoso,

Suryono

et al. 2023

Tri Dasa Mega

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The construction of a Nuclear Power Plant (NPP) using Small Modular Reactor (SMR) technology is an interesting scheme to support Net-Zero Carbon Emission. The SMR design is an advanced generation reactor with high safety and utilization features, especially the electricity needed and industry. Its modular size can also be applied to remote areas with lower construction costs compared to other types of power plants. Considering the geographical location and territory of Indonesia which is an archipelagic country, this type of reactor is suitable for application in Indonesia. To ensure safety and increase mastery of technology, it is necessary to create a simulator to support this program. Nonetheless, specific regulations govern human-machine interactions (HMI) which is covering the nuclear reactor simulators in Indonesia is not yet available. The research carried out is a review of the regulations that have been implemented in other countries, then provides a choice of operator condition designs, which are adjusted to the average size of Indonesian by considering anthropometric aspects and ergonomic aspects.

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The evolution of the Human Systems and Simulation Laboratory in nuclear power research

Cited by 4 publications

References 8 publications

Explainable Artificial Intelligence Technology for Predictive Maintenance

Explainable Artificial Intelligence Technology for Predictive Maintenance

Digitalization Guiding Principles and Method for Nuclear Industry Work Processes

An Approach for Integration of User Requirement and Anthropometry Data in The Process Design of Reactor Main Control Room

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