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Brief Narrative
  
  
  
  
  
  
LWRS researchers in collaboration with ORNL and Blue Wave AI Labs examined the capabilities, feasibility, and regulatory concerns of cloud computing in relation to meeting nuclear industry needs, specifically for achieving risk-informed predictive maintenance strategy. The technical viability of cloud computing was analyzed using data from a boiling-water reactor’s safety relief valve.
Assessment of Cloud-based Applications Enabling a Scalable Risk-informed Predictive Maintenance Strategy, INL/RPT-23-74696
  
9/29/2023New Instrumentation and Control and Human System Interfaces and CapabilitiesRisk-Informed Systems Analysis
The LWRS Digitalization Project at INL seeks to leverage digital technologies to synthesize and transform work processes. We provide a state-of-the-art analysis of digitalized work processes in nuclear power and investigate ways in which researchers at INL and the nuclear industry can work together to identify what data to access, how to access it, what to do with the data, and most importantly, how to use the insights for decision-making across all levels within the business.
Digitalization Guiding Principles and Method for Nuclear Industry Work Processes, INL/RPT-23-74429
  
9/29/2023New Instrumentation and Control and Human System Interfaces and CapabilitiesRisk-Informed Systems Analysis
The purpose and mission of the Integrated Operations for Nuclear Business Model and research effort at Light Water Reactors Sustainability (LWRS) Program is to identify and integrate technological and programmatic changes and modernizations to nuclear plant operations. These changes, called “work reduction opportunities,” are first advanced and integrated into the integrated operations for nuclear model then verified and explored further in applied ways with partnering utilities and plant sites. As the integrated operations for nuclear model gains structure, researchers actively seek to incorporate new work reduction opportunities as components to the existing work reduction opportunities suite from ongoing research within the LWRS Program. To achieve this, each pathway in the LWRS Program was assessed, and interviews conducted with each pathway lead to gather insights into current and future research and development efforts that could contribute to the creation of new work reduction activities.
Complete Evaluation of ION Cost Reduction Opportunities for LWRS Program Pathways, INL/RPT-23-74595
  
9/27/2023New Instrumentation and Control and Human System Interfaces and CapabilitiesPlant Modernization
The report concludes by summarizing the overall effort and implications for utility modernization. The performance of the screening and TERA are discussed as well as the impact on the nuclear industry. The TERA process enables utilities to evaluate and inform investment decisions for WROs and mitigate any potential risks. Through this research, we provide utilities with a valuable framework to optimize operations, reduce costs, and drive continuous process improvement.
Development of a Technical, Economic, and Risk Assessment Framework for the Evaluation of Work Reduction Opportunities, INL/RPT-23-74724
  
9/27/2023New Instrumentation and Control and Human System Interfaces and CapabilitiesPlant Modernization
The purpose of this report is to communicate the next phase of research associated with the Integrated Operations for Nuclear (ION) business model advanced and detailed by the researchers who are part of the Light Water Reactor Sustainability (LWRS) Program. Previous reports detailed work-reduction opportunities and their potential impact on savings, operations and maintenance (O&M) cost reductions to domestic nuclear plants. Advancing the concept once again, researchers have developed and now tested a methodology for assessing a nuclear plant and developing a roadmap for implementation of ION. This report describes that process, which was completed with a domestic nuclear site partner.
Applying the ION Business Model to a Domestic Nuclear Plant: Assessment and Transformation Implementation Plan, INL/RPT-23-73942
  
9/26/202303 Human & Technology Integration​Plant Modernization
In this report we show in detail how the integration and reasoning from numeric and textual ER data elements is performed. First, we present the developed library of MBSE modelsthat focus on common NPP systems and assets. Then we show the development of computational methods designed to process and analyze numeric and textual ER data elements simultaneously. Here, we apply the developed computational methods on the circulating water system of an existing NPP. Our final considerations provide additional insights on further potential applications of these methods to support additional NPP decisions.
Development of Analysis Methods that Integrate Numeric and Textual Equipment Reliability Data, INL/RPT-23-74530
  
9/16/202303 Human & Technology Integration​Risk-Informed Systems Analysis
This document leverages these select ION WROs as a starting point to initiate a specific WRO demonstration strategy. The strategy addresses the select ION WROs categories described above with the intent of applying this outline to other WROs in the future.
Integrated Operations for Nuclear: Work Reduction Opportunity Demonstration Strategy, INL/RPT-23-74671
  
9/15/202305 Technology Enabled Risk-Informed Maintenance StrategyPlant Modernization
While the existing U.S. light-water reactors are highly reliable and safe and provide a significant proportion of carbon-free electricity, the cost of operating and maintaining them has become less competitive compared to other electricity generating sources. The reason for the gap in operating and maintenance costs can be attributed at least in part to the advent of new digital technologies that other electricity generating industries are currently using. Advanced capabilities, including digital instrumentation and control (I&C) systems, advanced automation and analytics, and a greater span of data integration (i.e., connectedness), across these nonnuclear plants have transformed the way work is performed and ultimately given them a competitive advantage in terms of the cost required for operating, maintaining, and supporting them.
Human and Technology Integration Evaluation of Advanced Automation and Data Visualization, INL/RPT-23-74346
  
8/30/202303 Human & Technology Integration​Plant Modernization
Digital Infrastructure Pilot Business Case Objective One: Addressing Concerns with Implementation Costs by Demonstrating Long-Term Value of Digital I&C Modernization. The first major objective of this report and the wider LWRS research is to relieve the concern associated with prohibitively high implementation costs of plant I&C upgrades. This is addressed through demonstrating the long-term net economic value of digital upgrades with an in-depth exposition of the business case for, and detailed process associated with digital I&C modernizations.
Pilot Business Case Analysis for Digital Infrastructure, INL/RPT-23-74393
  
8/30/202303 Human & Technology Integration​Plant Modernization03 Human & Technology Integration​
While the existing U.S. light-water reactors are highly reliable and safe and provide a significant proportion of carbon-free electricity, the cost of operating and maintaining them has become less competitive compared to other electricity generating sources. The reason for the gap in operating and maintenance costs can be attributed at least in part to the advent of new digital technologies that other electricity generating industries are currently using. Advanced capabilities, including digital I&C systems, advanced automation and analytics, and a greater span of data integration, across these nonnuclear plants have transformed the way work is performed and ultimately given them a competitive advantage in terms of the cost required for operating, maintaining, and supporting them.
Human and Technology Integration Evaluation of Advanced Automation and Data Visualization, INL/RPT-23-74346
  
8/30/202303 Human & Technology Integration​Plant Modernization
This report describes progress and findings for a program of research supporting the design and optimization of information automation systems for nuclear power plants (NPPs). Information automation is the customization and delivery of information for a work process, thereby providing users with intuitive, actionable information based on continuous measurements of plant performance.
Optimizing Information Automation Using a New Method Based on System-Theoretic Process Analysis: Tool Development and Method Evaluation, INL/RPT-23-74217
  
8/30/202303 Human & Technology Integration​Plant Modernization
A review of published reports and knowledge gained by working in the nuclear energy sector will form the basis for this scoping study. This study will not seek to draw any conclusions regarding the underlying causes of these personnel issues but will attempt to ask questions and help outline future research. The Integrated Operations for Nuclear business model provides opportunities to partially mitigate some of the current issues facing staffing the nuclear fleet.
FY 23 ION-Based Approaches to Address Labor and Knowledge Retention, INL/RPT-23-73454
  
8/29/2023New Instrumentation and Control and Human System Interfaces and CapabilitiesPlant Modernization
Historically, nuclear power plants have operated predominantly at or near full power, meaning that most of the data collected are in this operating regime. Therefore, data-driven anomaly detection methods that are developed using this data can perform well at full power operations. This presents a challenge when the power drops (referred to as a transient) and may result in false alarms due to the lack of historical data at those new power levels. The current approach to handling this challenge is to turn the anomaly detection algorithms off during transients, causing missed detections. This effort developed and tested multiple data-driven anomaly detection methods that can extend to transient conditions.

Extending Data-Driven Anomaly Detection Methods to Transient Power Conditions in Nuclear Power Plants, INL/RPT-23-73933
  
8/23/202303 Human & Technology Integration​Plant Modernization
Light Water Reactor Sustainability researchers at Idaho National Laboratory in collaboration with Public Service Enterprise Group (PSEG), Nuclear, LLC, completed development and demonstration of three aspects of artificial intelligence (AI) technologies: performance, explainability, and trustworthiness. The work focused on leveraging specific metrics, developing a user-centric visualization interface, and performing human-in-the-loop evaluations to build user confidence in adoption of AI and machine learning technologies for risk-informed predictive maintenance strategy. This effort, documented in INL/RPT-23-74159, concluded 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.
Explainable Artificial Intelligence Technology for Predictive Maintenance, INL/RPT-23-74159
  
8/23/202303 Human & Technology Integration​Plant Modernization
This report focuses on developing methods for applying the U.S. Nuclear Regulatory Commission (NRC)–approved guidance to implement a licensee-controlled, risk-informed surveillance frequency change program in digital instrumentation and control (I&C) systems that include self-diagnostics and online monitoring (OLM) capabilities. This report presents an evaluation of different information and data made available by the utility partner for a digital I&C system since its implementation and describes an application of the proposed methodology. The methodology seeks to take advantage of the self-diagnostics and OLM capabilities to reduce risk or reduce the level of qualitative monitoring assessment needed to perform a risk-informed surveillance test interval extension using existing NRC approved guidance or both.
Technical Specification Surveillance Interval Extension Using Self-Diagnostics, ORNL/TM-2023/3008
  
8/18/202303 Human & Technology Integration​Plant Modernization
This report describes the interim progress for research supporting the design and optimization of information automation systems for nuclear power plants. Much of the domestic nuclear fleet is currently focused on modernizing technologies and processes, including transitioning toward digitalization in the control room and elsewhere throughout the plant, along with a greater use of automation, artificial intelligence, robotics, and other emerging technologies.
Optimizing Information Automation Using a New Method Based on  System-Theoretic Process Analysis, INL/RPT-23-73099
  
6/29/202303 Human & Technology Integration​Plant Modernization
This report presents interim findings of two key collaborations with United States utilities currently planning and executing large-scale digital instrumentation and control modifications to their main control rooms. While these collaborations are ongoing, this report presents lessons learned in the demonstration of the human and technology integration methodology.
Demonstration of the Human and Technology Integration Guidance for the Design of Plant-Specific Advanced Automation and Data Visualization Techniques, INL/RPT-23-71395
  
3/13/202303 Human & Technology Integration​Plant ModernizationHuman & Technology Integration​
Researchers selected nine work reduction opportunities from the full ION. A selected group of utilities verified details of the work reduction opportunities and inputs to the ION model first published in the original report. Verification categories included capital cost, technology requirements, and operational and maintenance savings, among others. Researchers then modeled the data points and data ranges using probabilistic analysis to predict the likelihood of positive or negative net present value outcomes.
Integrated Operations for Nuclear Business Operation Model Analysis and Industry Validation, INL/RPT-22-68671, Rev 1
  
1/26/2023Advance Concepts of OperationsPlant ModernizationAdvance Concepts of Operations
The scope of this work documents the demonstration of the recently developed human and technology integration methodology, as applied to
developing a new vision and concept of operations for a major U.S. nuclear power plant fleet. This report focuses on the methodological aspects of
developing a vision and concept of operations. This report shares the tools, activities, and lessons learned during a modernization currently underway for
industry as a whole to consider when planning any significant digital modification and developing a new vision and concept of operations.
Demonstration and Evaluation of the Human-Technology Integration Guidance for Plant Modernization, INL/RPT-22-70538
  
12/15/202203 Human & Technology Integration​Plant ModernizationHuman & Technology Integration​
This report conducts a techno-economic assessment of a provisional cloud deployment architecture for a nuclear power plant predictive monitoring system. The cloud-based monitoring system would enable maintenance and diagnostics analysts and other authorized plant users to remotely monitor equipment functionality so as to enable predictive monitoring practices and early detection of faults. This report covers certain regulatory and security aspects that may concern licensees looking to implement cloud computing. The report also focuses on the integration of sensor database storage, the application of cloud resources to predictive maintenance, and the identification of technological and economic hurdles associated with moving to a cloud-computing-based architecture.
Development of a Cloud-based Application to Enable a Scalable Risk-informed Predictive Maintenance Strategy at Nuclear Power Plants, INL/RPT-22-70543
  
12/14/202205 Technology Enabled Risk-Informed Maintenance StrategyPlant ModernizationAdvance Concepts of Operations
This report identifies some of the important requirements that need to be considered as part of the data evolution for the condition-based maintenance application on a circulating water system in an nuclear power plant. The concept of data evolution converts data into information, which in turn is converted into insight, decision, and action. An overview of AI design, development, deployment, and operation principles is introduced to support the lifecycle of AI technologies.
Data Architecture and Analytics Requirements for Artificial Intelligence and Machine Learning Applications to Achieve Condition-Based Maintenance, INL/RPT-22-70350
  
11/22/202205 Technology Enabled Risk-Informed Maintenance StrategyPlant ModernizationAdvance Concepts of Operations
The nuclear power industry is data-rich and these data introduce a tremendous potential for automation and cost savings. On the other hand, research organizations, among other stakeholders, have very capable methods and solutions often developed using simulated or synthetic data due to the lack of real data. One cause of this disconnect is data privacy. Data privacy is of paramount importance in all industries, but especially the nuclear industry. This challenge motivated the data obfuscation method called deceptive infusion of data (DIOD).
A Novel Data Obfuscation Method to Share Nuclear Data for Machine Learning Application, INL/RPT-22-69871
  
11/15/2022Advance Concepts of OperationsPlant ModernizationAdvance Concepts of Operations
The nuclear power industry is data-rich and these data introduce a tremendous potential for automation and cost savings. On the other hand, research organizations, among other stakeholders, have very capable methods and solutions often developed using simulated or synthetic data due to the lack of real data. One cause of this disconnect is data privacy. Data privacy is of paramount importance in all industries, but especially the nuclear industry. This challenge motivated the data obfuscation method called deceptive infusion of data (DIOD).
A Novel Data Obfuscation Method to Share Nuclear Data for Machine Learning Application, INL/RPT-22-69871
  
11/14/202202 Data Architecture & Analytics​​Plant ModernizationData Architecture & Analytics​​
This report summarizes outreach efforts to both industry wide organizations and specific utilities. Industry organizations that were engaged including the Pressurized Water Reactor Owner’s Group, the Nuclear Information Technology Strategic Leadership group, and Light Water Reactor Sustainability Plant Modernization Pathway Stakeholders.
Digital Infrastructure Industry Engagement, INL/EXT-22-69268
  
9/21/202201 Digital Infrastructure​Plant ModernizationDigital Infrastructure​
Technical Basis for Advanced Artificial Intelligence and Machine Learning Adoption in Nuclear Power Plants, INL/RPT-22-68942, September 2022.
Technical Basis for Advanced Artificial Intelligence and Machine Learning Adoption in Nuclear Power Plants, INL/EXT-22-68942
  
9/8/202205 Technology Enabled Risk-Informed Maintenance StrategyPlant ModernizationAdvance Concepts of Operations
Integrated Operations for Nuclear Business Operation Model Analysis and Industry Validation, INL/RPT-22-68671, August 2022.
Integrated Operations for Nuclear Business Operation Model Analysis and Industry Validation, INL/RPT-22-68671
  
8/30/2022Advance Concepts of OperationsPlant ModernizationAdvance Concepts of Operations
Demonstration and Evaluation of the Human-Technology Integration Function Allocation Methodology, INL/RPT-22-68472, August 2022.
Demonstration and Evaluation of the Human-Technology Integration Function Allocation Methodology, INL/RPT-22-68472
  
8/11/202203 Human & Technology Integration​Plant ModernizationHuman & Technology Integration​
Using Information Automation and Human Technology Integration to Implement Integrated Operations for Nuclear, INL/RPT-22-68076, July 2022
Using Information Automation and Human Technology Integration to Implement Integrated Operations for Nuclear, INL/RPT-22-68076
  
7/28/2022Advance Concepts of OperationsPlant ModernizationAdvance Concepts of Operations
With the advancements made to date in the field of artificial intelligence (AI), significant potential exists to utilize AI capabilities for nuclear power plant (NPP) applications. AI can replicate human decision making and it is usually faster and more accurate than humans. For implementations that impact critical NPP applications (e.g., safety-related or non-safety systems that potentially affect overall plant risk), a deeper safety analysis of the AI methods is necessary.
Considerations regarding the Use of Computer Vision Machine Learning in Safety-Related or Risk-Significant Applications in Nuclear Power Plants, INL/RPT-23-74920
  
10/16/202105 Technology Enabled Risk-Informed Maintenance StrategyPlant Modernization
Process Anomaly Detection for Sparsely Labeled Events in Nuclear Power Plants, INL/EXT-21-64303, J. Farber, A. Al Rashdan, H. Abdel-Khalik, Y. Li, M. Abdo, D. Mandelli, D. Huang, September 2021.
Process Anomaly Detection for Sparsely Labeled Events in Nuclear Power Plants, INL/EXT-21-64303, September 2021
  
9/30/202102 Data Architecture & Analytics​​Plant ModernizationData Architecture & Analytics​​
Development of an Assessment Methodology That Enables the Nuclear Industry to Evaluate Adoption of Advanced Automation, INL/EXT-21-64320, C. Kovesdi, Z. Spielman, R. Hill. J. Mohon, T. Miyake, C. Pederson, September 2021.
Development of an Assessment Methodology That Enables the Nuclear Industry to Evaluate Adoption of Advanced Automation, INL/EXT-21-64320
  
9/29/202103 Human & Technology Integration​Plant ModernizationHuman & Technology Integration​
Nuclear Work Function Innovation Tool Set Development for Performance Improvement and Human Systems Integration, INL/EXT-21-64428, C. Kovesdi, J. Mohon, K. Thomas, J. Remer, J. Joe, L. Hanes, M. Dainoff, L. Hettinger, September 2021.
Nuclear Work Function Innovation Tool Set Development for Performance Improvement and Human Systems Integration, INL/EXT-21-64428
  
9/29/2021Advance Concepts of OperationsPlant ModernizationAdvance Concepts of Operations
Digital Infrastructure Migration Framework, INL/EXT-21-64580, P. Hunton, R. England, September 2021.
Digital Infrastructure Migration Framework, INL/EXT-21-64580
  
9/25/202101 Digital Infrastructure​Plant ModernizationDigital Infrastructure​
The outcomes presented in this report lay the foundation and provide a much-needed technical basis for focusing on the explainability and trustworthiness of machine language and artificial intelligence-based technologies as part of future research.
Scalable Technologies Achieving Risk-Informed Condition-Based Predictive Maintenance Enhancing the Economic Performance of Operating Nuclear Power Plants, INL/EXT-21-64168
  
8/30/202105 Technology Enabled Risk-Informed Maintenance StrategyPlant ModernizationData Architecture & Analytics​​
Researchers selected nine work reduction opportunities from the full Integrated Operations for Nuclear (ION) suite of initiatives. A selected group of utilities verified details of the work reduction opportunities and inputs to the ION model first published in the original report. Verification categories included capital cost, technology requirements, and operational and maintenance savings, among others. Researchers then modeled the data points and data ranges using probabilistic analysis to predict the likelihood of positive or negative net present value outcomes.
Process for Significant Nuclear Work Function Innovation Based on Integrated Operations Concepts, INL/EXT-21-64134
  
8/26/202104 ​​Integrated Operation for Nuclear​Plant Modernization​​Integrated Operation for Nuclear​
Usability Evaluation of the Innovation Portal and Integrated Capability Analysis Platform, INL/EXT-21-63101, J. Mohon, C. Pederson, C. Kovesdi, J. Joe, June 2021.
Usability Evaluation of the Innovation Portal and Integrated Capability Analysis Platform, INL/EXT-21-63101
  
6/30/2021Full Nuclear Plant Modernization DesignPlant ModernizationFull Nuclear Plant Modernization Design
The R&D activities reported lay the foundation to develop and demonstrate a digital automated platform to centralize the implementation of condition monitoring. Development of fault signatures and ML diagnostic models will be extended to other CWP, CWP motor, and system-level faults in the future.
Machine Learning and Economic Models to Enable Risk-Informed Condition Based Maintenance of a Nuclear Plant Asset, INL/EXT-21-61984
  
3/26/202102 Data Architecture & Analytics​​Plant ModernizationData Architecture & Analytics​​
​​​I&C Infrastructure Modernization Safety-Related I&C Pilot Upgrade Project at Limerick Generating Station (LGS)
I&C Infrastructure Modernization: Safety-Related I&C Pilot Upgrade Project at Limerick Generating Station, INL/EXT-19-54766
  
11/19/202001 Digital Infrastructure​Plant ModernizationDigital Infrastructure​
Report for 2.2.1 Task 5: Develop and Document a State-Based Alarm System for a Nuclear Power Plant Control Room Using Machine Learning, INL/EXT-20-60549, J. Langstrand, R. McDonald H. Nguyen, November 2020.
Report for 2.2.1 Task 5: Develop and Document a State-Based Alarm System for a Nuclear Power Plant Control Room Using Machine Learning, INL/EXT-20-60549
  
11/12/2020Full Nuclear Plant Modernization DesignPlant ModernizationFull Nuclear Plant Modernization Design
Report on the Use and Function of the Work Function Analysis Tool and Nuclear Innovation Portal, INL/EXT-20-59827, C. Kovesdi, K. Thomas, S. Remer, J. Boyce, September 2020.
Report on the Use and Function of the Work Function Analysis Tool and Nuclear Innovation Portal, INL/EXT-20-59827
  
9/20/2020Advance Concepts of OperationsPlant ModernizationAdvance Concepts of Operations
Concept for Integrated Multi-Modal Online Piping Monitoring System along with Data Fusion and Advanced Data Analytical Algorithms Using High- Resolution Fiber Optics Sensors, INL/EXT-20-59810, A. Gribok, M. Wang, J. Wu, Q. Wang, A. Venketeswaran, K. Zhao, K. Chen, September 2020.
Concept for Integrated Multi-Modal Online Piping Monitoring System along with Data Fusion and Advanced Data Analytical Algorithms Using High- Resolution Fiber Optics Sensors, INL/EXT-20-59810
  
9/17/2020Advanced Remote Monitoring of Secondary System Piping in Nuclear Power PlantsPlant ModernizationAdvanced Remote Monitoring of Secondary System Piping in Nuclear Power Plants
This LWRS Program research seeks to assist in breaking this impasse through the support of a SR I&C Pilot Upgrade Project. Exelon’s Limerick Generating Station, a BWR, has been selected as the target for this Project. This research report (1) describes the process followed and products developed during the SR I&C Pilot Project Initial Scoping Phase and (2) captures lessons learned.
Safety-Related Instrumentation & Control Pilot Upgrade Initial Scoping Phase Implementation Report And Lessons Learned, INL/EXT-20-59809
  
9/14/202001 Digital Infrastructure​Plant ModernizationDigital Infrastructure​
An Applied Strategy for Using Empirical and Hybrid Models in Online Monitoring, INL/EXT-20-59688, A. Rashdan, H. Abdel-Khalik, K. Giraud, L. Griffel, D. Guillen, A. Varuttamaseni, September 2020.
An Applied Strategy for Using Empirical and Hybrid Models in Online Monitoring, INL/EXT-20-59688
  
9/11/202002 Data Architecture & Analytics​​Plant ModernizationData Architecture & Analytics​​
Concrete Structure Health Monitoring Using Vibroacoustic Testing and Machine Learning, INL/EXT-20-59941, M. Miele, P. Karve, S. Mahadevan, V. Agarwal, September 2020.
Concrete Structure Health Monitoring Using Vibroacoustic Testing and Machine Learning, INL/EXT-20-59941
  
9/3/2020Advanced Remote Monitoring of Concrete Structures in Nuclear Power PlantsPlant ModernizationAdvanced Remote Monitoring of Concrete Structures in Nuclear Power Plants
Hybrid Modeling of a Circulating Water Pump Motor, INL/EXT-20-59600 V. Agarwal, S. Kovacevic, P. Harry, August 2020.
Hybrid Modeling of a Circulating Water Pump Motor, INL/EXT-20-59600
  
8/11/202005 Technology Enabled Risk-Informed Maintenance StrategyPlant ModernizationTechnology Enabled Risk-Informed Maintenance Strategy
Towards a Deeper Understanding of Automation Transparency in the Operation of Nuclear Plants, INL/EXT-20-59469, G. Skraaning, G. Jamieson, J. Joe, August 2020.
Towards a Deeper Understanding of Automation Transparency in the Operation of Nuclear Plants, INL/EXT-20-59469
  
8/4/2020Halden Reactor ProjectPlant ModernizationHalden Reactor Project
While regulatory advances have improved the environment for modernizing safety systems, the industry has remained reluctant to perform such I&C upgrades because of perceived regulatory risks associated with being the first adopter of the DI&C-ISG-06, Revision 2 process for a major critical safety system.
Business Case Analysis for Digital Safety-Related Instrumentation & Control System Modernizations, INL/EXT-20-59371
  
8/1/202001 Digital Infrastructure​Plant ModernizationDigital Infrastructure​
This report provides an analysis and planning framework for transforming the current NPP operating model via transferable learnings from the North Sea O&G industry. This framework is termed “Integrated Operations for Nuclear” (ION). This report describes the key principles and methods of IO and how they are being applied via collaboration between the DOE LWRSProgram and Xcel Energy in an initiative to transform the NPP operating model in order to foster performance improvement and long-term sustainability.
Analysis and Planning Framework for Nuclear Plant Transformation, INL/EXT-20-59537
  
8/1/202004 ​​Integrated Operation for Nuclear​Plant Modernization​​Integrated Operation for Nuclear​
Markov Process to Evaluate the Value Proposition of a Risk-Informed Predictive Maintenance Strategy, INL/EXT-20-59146, V. Agarwal, A. Gribok, P. Harry, July 2020.
Markov Process to Evaluate the Value Proposition of a Risk-Informed Predictive Maintenance Strategy, INL/EXT-20-59146
  
7/4/202005 Technology Enabled Risk-Informed Maintenance StrategyPlant ModernizationTechnology Enabled Risk-Informed Maintenance Strategy
The commercial nuclear sector faces unprecedented financial challenges driven by low natural gas prices and subsidized renewables in a marketplace that does not reward carbon-free baseload capacity. These circumstances, along with increasingly antiquated labor-centric operating models and analog technology, have forced the premature closure of multiple nuclear facilities and placed a much larger population of nuclear power stations at-risk.
Vendor-Independent Design Requirements for a Boiling Water Reactor Safety System Upgrade, INL/EXT-20-61079
  
5/1/202001 Digital Infrastructure​Plant ModernizationDigital Infrastructure​
Development of an Advanced Integrated Operations Concept for Hybrid Control Rooms, INL/EXT-20-57862, C. Kovesdi, J. Mohon, R. Li, T. Miyake, J. Lehmer, R. Hill, Z. Spielman, T. Mortenson, K. Le Blanc, March 2020.
Development of an Advanced Integrated Operations Concept for Hybrid Control Rooms, INL/EXT-20-57862
  
3/1/2020Control-room ModernizationPlant ModernizationControl-room Modernization
This research focuses on presenting advancements that have been made by non-nuclear I&C vendors and potential savings that could be realized by their optimized nuclear industry application. To promote understanding and to bound the initial scope for this effort, a pilot vendor and an associated pilot implementation were chosen as an integrated presentation example for illustration.
Addressing Nuclear I&C Modernization Through Application of Techniques Employed in Other Industries, INL/EXT-19-55799
  
9/24/201901 Digital Infrastructure​Plant ModernizationDigital Infrastructure​
Modeling and Simulation Introducing hardware-in-the-loop capabilities to the Human Systems Simulation Laboratory, INL/MIS-19-55969, B. Rice, J. Lehmer, R. England, September 2019.
Modeling and Simulation Introducing hardware-in-the-loop capabilities to the Human Systems Simulation Laboratory, INL/MIS-19-55969
  
9/24/2019Full Nuclear Plant Modernization DesignPlant ModernizationFull Nuclear Plant Modernization Design
Automating Fire Watch in Industrial Environments through Machine Learning-Enabled Visual Monitoring, INL-EXT-19-55703, A. Rashdan, M. Griffel, L. Powell, September 2019.
Automating Fire Watch in Industrial Environments through Machine Learning-Enabled Visual Monitoring, INL/EXT-19-55703
  
9/23/201902 Data Architecture & Analytics​​Plant ModernizationData Architecture & Analytics​​
Determination of Sensor Quality of Calibration Using Advanced Data Analytics and Machine Learning Methods, INL/EXT-19-55407, S. Cetiner, N. Rao, P. Ramuhalli, C. Greulich, P. Devineni, F. Zhang, A. Gurgen, V. Agarwal, September 2019.
Determination of Sensor Quality of Calibration Using Advanced Data Analytics and Machine Learning Methods, INL/EXT-19-55407
  
9/22/201905 Technology Enabled Risk-Informed Maintenance StrategyPlant ModernizationTechnology Enabled Risk-Informed Maintenance Strategy
Preliminary Results of a Bounded Exhaustive Testing Study for Software in Embedded Digital Devices in Nuclear Power Applications, INL/EXT-19-55606, C. Elks, A. Jayakumar, A. Collins, R. Hite, T. Karles, C. Deloglos, B. Simmons, A. Tantawy, S. Gautham, September 2019.
Preliminary Results of a Bounded Exhaustive Testing Study for Software in Embedded Digital Devices in Nuclear Power Applications, INL/EXT-19-55606
  
9/21/2019Digital Instrumentation and Control QualificationPlant ModernizationDigital Instrumentation and Control Qualification
Report for 2.2.1 Task 3: Develop and Document an Advanced Human System Interface for the Generic Pressurized Water Reactor Simulator, INL/EXT-19-55788, R. McDonald, A. Ove Braseth, J. Joe, September 2019.
Report for 2.2.1 Task 3: Develop and Document an Advanced Human System Interface for the Generic Pressurized Water Reactor Simulator, INL/EXT-19-55788
  
9/20/2019Digital Architecture for an Automated PlantPlant ModernizationDigital Architecture for an Automated Plant
Data Integration Aggregated Model and Ontology for Nuclear Deployment (DIAMOND): Preliminary Model and Ontology, INL/EXT-19-55610, A. Rashdan, J. Browning, C. Ritter, September 2019.
Data Integration Aggregated Model and Ontology for Nuclear Deployment (DIAMOND): Preliminary Model and Ontology, INL/EXT-19-55610
  
9/20/201902 Data Architecture & Analytics​​Plant ModernizationData Architecture & Analytics​​
Report for 2.2.1 Task 4: Software-Based Tools to Support Human-System Evaluation Studies, INL/EXT-19-55789, M. Hildebrandt, J. Langstrand, H. Nguyen, J. Joe, September 2019.
Report for 2.2.1 Task 4: Software-Based Tools to Support Human-System Evaluation Studies, INL/EXT-19-55789
  
9/20/2019Full Nuclear Plant Modernization DesignPlant ModernizationFull Nuclear Plant Modernization Design
Nuclear Power Plant Modernization Strategy and Action Plan, INL/EXT-19-55852, K. Thomas, P. Hunton, September 2019.
Nuclear Power Plant Modernization Strategy and Action Plan, INL/EXT-19-55852
  
9/18/2019Industrial and Regulatory EngagementPlant ModernizationIndustrial and Regulatory Engagement
Automating Surveillance Activities in a Nuclear Power Plant, INL/EXT-19-55620
Automating Surveillance Activities in a Nuclear Power Plant, INL/EXT-19-55620
  
9/18/201902 Data Architecture & Analytics​​Plant ModernizationData Architecture & Analytics​​
Subtle Process-Anomalies Detection Using Machine-Learning Methods, INL/EXT-19-55629, A. Rashdan, M. Griffel, R. Boza, D. Guillen, September 2019.
Subtle Process-Anomalies Detection Using Machine-Learning Methods, INL/EXT-19-55629
  
9/17/201902 Data Architecture & Analytics​​Plant ModernizationData Architecture & Analytics​​
Utilizing FLEX Equipment for Operations and Maintenance Cost Reduction in Nuclear Power Plants, INL/EXT-19- 55445, V. Yadav, J. Biersdorf, August 2009.
Utilizing FLEX Equipment for Operations and Maintenance Cost Reduction in Nuclear Power Plants, INL/EXT-19-55445
  
8/24/201905 Technology Enabled Risk-Informed Maintenance StrategyPlant ModernizationTechnology Enabled Risk-Informed Maintenance Strategy
Report for 2.2.1 Task 5: Develop and Document a State-Based Alarm System for a Nuclear Power Plant Control Room Using Machine Learning, INL/EXT-19-55368, J. Langstrand, H. Nguyen, R. McDonald, August 2019.
Report for 2.2.1 Task 5: Develop and Document a State-Based Alarm System for a Nuclear Power Plant Control Room Using Machine Learning, NL/EXT-19-55368
  
8/18/2019Halden Reactor ProjectPlant ModernizationHalden Reactor Project
The technology-centric approach is designed to reduce preventive maintenance frequency, drive down costs, enhance safety and reliability, and improve the economics of operation in NPPs. This will ensure the nuclear industry as a whole will remain economically competitive and viable in the energy market.
Technology-Enabled Risk-Informed Maintenance Strategy to Minimize Operation and Maintenance Costs, INL/EXT-19-55169
  
8/13/201905 Technology Enabled Risk-Informed Maintenance StrategyPlant ModernizationTechnology Enabled Risk-Informed Maintenance Strategy
Creating a data warehouse in a plant or a data broker for a fleet of plants requires overcoming multiple challenges, including the lack of a standard form of storing and using data and the lack of integration methods to compare and map the different data sources. This effort develops and demonstrates a data integration method and application through data fusion and data warehousing pilots.
Method and Application of Data Integration at a Nuclear Power Plant, INL/EXt-19-54294
  
8/5/201902 Data Architecture & Analytics​​Plant ModernizationData Architecture & Analytics​​
Methods to Automate Assessing Outage Risk and Technical Specification Compliance for Planned Work and Current Plant Conditions, INL-EXT-19-55308, S. St Germain, J. Masterlark, R. Priddy, S. Beck, August 2019.
Methods to Automate Assessing Outage Risk and Technical Specification Compliance for Planned Work and Current Plant Conditions, INL/EXT-19-55308
  
8/4/2019Outage Risk Management ImprovementPlant ModernizationOutage Risk Management Improvement
Developing a Roadmap for Total Nuclear Plant Transformation, INL/EXT-19-54766
Developing a Roadmap for Total Nuclear Plant Transformation, INL/EXT-19-54766
  
7/29/201902 Data Architecture & Analytics​​Plant ModernizationData Architecture & Analytics​​
Technical Specification Surveillance Interval Extension of Digital Equipment in Nuclear Power Plants: Review, Research, and Recommendations, INL-EXT-19-54251, T. Quinn, J. Mauck, M. Bailey, V. Agarwal, S. St. Germain, P. Ramuhalli, G. Coles, June 2019.
Technical Specification Surveillance Interval Extension of Digital Equipment in Nuclear Power Plants: Review, Research, and Recommendations, INL/EXT-19-54251
  
6/18/201905 Technology Enabled Risk-Informed Maintenance StrategyPlant ModernizationTechnology Enabled Risk-Informed Maintenance Strategy
Vibration-based Techniques for Concrete Structural-health Monitoring, INL/EXT-19-53248, S. Miele, Y. Bao, P. Karve, S. Mahadevan, V. Agarwal, E. Giannini, J. Zhu, March 2019.
Vibration-based Techniques for Concrete Structural-health Monitoring, INL/EXT-19-53248
  
3/4/2019Advanced Remote Monitoring of Concrete Structures in Nuclear Power PlantsPlant ModernizationAdvanced Remote Monitoring of Concrete Structures in Nuclear Power Plants
The primary objective of this proposed research project is to integrate advancements in online monitoring and data analytic techniques with advanced risk assessment methodologies to reduce operating costs and enhance the reliability of commercial nuclear power plants (NPPs).
Integrated Risk-Informed Condition-Based Maintenance Capability and Automated Platform, PKM-DOC-21-0007
  
12/28/201802 Data Architecture & Analytics​​Plant ModernizationData Architecture & Analytics​​
Development of a Technology Roadmap for Online Monitoring of Nuclear Power Plants, INL/EXT-18-52206, A. Rashdan, J. Smith. S. St. Germain, C. Ritter, V. Agarwal, R. Boring, T. Ulrich, J. Hansen, December 2018.
Development of a Technology Roadmap for Online Monitoring of Nuclear Power Plants, INL/EXT-18-52206
  
12/18/201802 Data Architecture & Analytics​​Plant ModernizationData Architecture & Analytics​​
Specification of a Bounded Exhaustive Testing Study for a Software-based Embedded Digital Device, INL/EXT-18-52032, C. Elks, C. Deloglos, A. Jayakumar, November 2018.
Specification of a Bounded Exhaustive Testing Study for a Software-based Embedded Digital Device, INL/EXT-18-52032
  
11/18/2018Digital Instrumentation and Control QualificationPlant ModernizationDigital Instrumentation and Control Qualification
Plant Modernization Pathway: FY 2019 External Review Summary Report, INL/EXT-18-52030, K. Thomas, November 2018.
Plant Modernization Pathway: FY 2019 External Review Summary Report, INL/EXT-18-52030
  
11/15/2018Project ManagementPlant ModernizationProject Management
Report for 2.2.1 Task 1: Support of Operator in the Loop Studies to be Conducted in the HSSL, INL/EXT-18-51360, R. Mcdonald, September 2018.
Report for 2.2.1 Task 1: Support of Operator in the Loop Studies to be Conducted in the HSSL, INL/EXT-18-51360
  
9/20/2018Halden Reactor ProjectPlant ModernizationHalden Reactor Project
Report for 2.2.1 Task 2: Provide Support for the Human Factors Studies Conducted for the LWRS Control Room Modernization Project for PVNGS, INL/EXT-18-51358, M. Hildebrandt, J. Langstrand, H. Nguyen, September 2018.
Report for 2.2.1 Task 2: Provide Support for the Human Factors Studies Conducted for the LWRS Control Room Modernization Project for PVNGS, INL/EXT-18-51358
  
9/20/2018Halden Reactor ProjectPlant ModernizationHalden Reactor Project
Developing a Strategy for Full Nuclear Plant Modernization, INL/EXT-18-51366, J. Joe, C. Kovesdi, September 2018.
Developing a Strategy for Full Nuclear Plant Modernization, INL/EXT-18-51366
  
9/20/2018Fleet Based Control-room ModernizationPlant ModernizationFleet Based Control-room Modernization
Prototype System for Detecting Interactions between Current Plant Configuration States and Component Manipulations Directed by In-Use Procedures, INL/EXT-18-51474, S. St. Germain, J. Hugo, G. Gobbel, R. Reeves, September 2018
Prototype System for Detecting Interactions between Current Plant Configuration States and Component Manipulations Directed by In-Use Procedures, INL/EXT-18-51474
  
9/18/2018Outage Risk Management ImprovementPlant ModernizationOutage Risk Management Improvement
The Strategic Value of Human Factors Engineering in Control Room Modernization, EXT-18-51365, J. Hugo, C. Kovesdi, J. Joe, September 2018.
The Strategic Value of Human Factors Engineering in Control Room Modernization, INL/EXT-18-51365
  
9/6/2018Fleet Based Control-room ModernizationPlant ModernizationFleet Based Control-room Modernization
Casting of Reinforced Concrete Beam: Casting of Reinforced, INL/EXT-18-51461, S. Mahadevan, J. Zhu, V. Agarwal, September 2018.
Casting of Reinforced Concrete Beam: Casting of Reinforced Concrete Beam: Project Progress, INL/EXT-18-51461
  
9/6/2018Online Monitoring of Concrete Structures in Nuclear Power PlantsPlant ModernizationOnline Monitoring of Concrete Structures in Nuclear Power Plants
FY 2018 Summary Report on Industrial and Regulatory Engagement Activities, INL/EXT-18-51462, K. Thomoas, September 2018.
FY 2018 Summary Report on Industrial and Regulatory Engagement Activities, INL/EXT-18-51462
  
9/6/2018Industrial and Regulatory EngagementPlant ModernizationIndustrial and Regulatory Engagement
Automation Technologies Impact on the Work Process of Nuclear Power Plants, INL/EXT-18-51457, A. Rashdan, T. Mortenson, September 2018.
Automation Technologies Impact on the Work Process of Nuclear Power Plants, INL/EXT-18-51457
  
9/3/201802 Data Architecture & Analytics​​Plant ModernizationData Architecture & Analytics
Automation of Data Collection Methods for Online Monitoring of Nuclear Power Plants, INL/EXT-18-51456, A. Rashdan, S. St. Germain, September 2018.
Automation of Data Collection Methods for Online Monitoring of Nuclear Power Plants, INL/EXT-18-51456.
  
9/3/201802 Data Architecture & Analytics​​Plant ModernizationData Architecture & Analytics
Development and Evaluation of the Conceptual Design for a Liquid Radiological Waste System in an Advanced Hybrid Control Room, INL/EXT-18-51107, C. Kovesdi, Z. Spielman, R. Hill, K.Le Blanc, J. Oxstrand, August 2018.
Development and Evaluation of the Conceptual Design for a Liquid Radiological Waste System in an Advanced Hybrid Control Room, INL/EXT-18-51107
  
8/27/2018Control-room ModernizationPlant ModernizationControl-room Modernization
Developing a Human Factors Engineering Program Plan and End State Vision to Support Full Nuclear Power Plant Modernization, INL/EXT-18-51212, J. Joe, L. Hanes, C. Kovesdi, August 2018.
Developing a Human Factors Engineering Program Plan and End State Vision to Support Full Nuclear Power Plant Modernization
  
8/8/2018Full Nuclear Plant Modernization DesignPlant ModernizationFull Nuclear Plant Modernization Design
Planning and Analyses Performed to Install Halden’s Advanced Control Room Concept in the Human Systems Simulation Laboratory, INL/EXT-18-45966, J. Joe, R. McDonald, July 2018.
Planning and Analyses Performed to Install Halden’s Advanced Control Room Concept in the Human Systems Simulation Laboratory, INL/EXT-18-45966.
  
7/29/2018Fleet Based Control-room ModernizationPlant ModernizationFleet Based Control-room Modernization
This report presents an assessment of digital I&C qualification issues and addresses gaps in qualification methods and processes that would potentially benefit from DOE sponsored research and development. Two new qualification methods are described that are recommended for further investigation. They are 1) Testability, and 2) Elimination of CCF triggers.
Strategy for Implementation of Safety-Related Digital I&C Systems
  
6/27/201801 Digital Infrastructure​Plant ModernizationDigital Infrastructure​
Connecting LWRS Human Factors Engineering R&D to NUREG-0711 Elements and Modification Activities in Nuclear Power Plants, INL/EXT-18-45149, G. Clefton, J. Joe, C. Kovesdi, May 2018.
Connecting LWRS Human Factors Engineering R&D to NUREG-0711 Elements and Modification Activities in Nuclear Power Plants
  
5/27/2018Fleet Based Control-room ModernizationPlant ModernizationFleet Based Control-room Modernization
Control Room Modernization End-State Design Philosophy, INL/EXT-18-44798 K. Le Blanc, Jacques Hugo, Z. Spielman, C. Kovesdi, R. Hill, J. Oxstrand, T. Hansen, B. Rice, March 2018.
Control Room Modernization End-State Design Philosophy
  
3/27/2018Full Nuclear Plant Modernization DesignPlant ModernizationFull Nuclear Plant Modernization Design
Lessons Learned from Performing a Human Factors Engineering Validation of an Upgraded Digital Control System in a Nuclear Power Plant Control Room, INL/EXT-18-44618, P. Braarud, H. Svengren, T. Ulrich, R. Boring, J. Joe, L. Hanes, February 2018.
Lessons Learned from Performing a Human Factors Engineering Validation of an Upgraded Digital Control System in a Nuclear Power Plant Control Room,
  
2/18/2018Full Nuclear Plant Modernization DesignPlant ModernizationFull Nuclear Plant Modernization Design
Automated Work Packages: Radio Frequency Identification, Bluetooth Beacons, and Video Applications in the Nuclear Power Industry, INL/EXT-17-43264, A. Rashdan, S. St Germain, R. Boring, T. Ulrich, B. Rice, September 2017.
Automated Work Packages: Radio Frequency Identification, Bluetooth Beacons, and Video Applications in the Nuclear Power Industry
  
9/27/2017Advanced Remote Monitoring of Concrete Structures in Nuclear Power PlantsPlant ModernizationAdvanced Remote Monitoring of Concrete Structures in Nuclear Power Plants
Evaluation of Control Room Interface Designs to Support Modernization in Nuclear Power Plants, INL/EXT-17-43250, K. Le Blanc, C. Kovesdi, R. Hill, Z. Spielman,
T. Hansen, J. Oxstrand, September 2017.
Evaluation of Control Room Interface Designs to Support Modernization in Nuclear Power Plants
  
9/18/2017Full Nuclear Plant Modernization DesignPlant ModernizationFull Nuclear Plant Modernization Design
FY 2017 Summary Report on Industrial and Regulatory Engagement Activities, INL/EXT-17-43352, K. Thomas, September 2017.
FY 2017 Summary Report on Industrial and Regulatory Engagement Activities
  
9/18/2017Industrial and Regulatory EngagementPlant ModernizationIndustrial and Regulatory Engagement
Potential to Extend the Range of Established Online Monitoring Technologies, Such as Guided Waves in Nuclear Power Plant Systems, INL/EXT-17-43242, A. Gribok, September 2017.
Potential to Extend the Range of Established Online Monitoring Technologies,
  
9/18/2017Online Monitoring of Second Phase Structures in Nuclear Power PlantsPlant ModernizationOnline Monitoring of Second Phase Structures in Nuclear Power Plants
Prototype Design, Analysis, and Results for a Liquid Radiological Waste Control Room, INL/EXT-17-43226, C. Kovesdi, R. Hill, J. Oxstrand, Z. Spielman, K, Le Blanc, T. Hansen, September 2017.
Prototype Design, Analysis, and Results for a Liquid Radiological Waste Control Room
  
9/18/2017Full Nuclear Plant Modernization DesignPlant ModernizationFull Nuclear Plant Modernization Design
Technologies for Detecting Interactions between Current Plant Configuration States and Component Manipulations Directed by In-Use Procedures, INL/EXT-17-43234 S. St. Germain, J. Hugo, M. Manic. K. Amarasinghe, September 2017.
Technologies for Detecting Interactions between Current Plant Configuration States and Component Manipulations Directed by In-Use Procedures
  
9/18/2017Outage Risk Management ImprovementPlant ModernizationOutage Risk Management Improvement
Seamless Digital Environment – Data Analytics Use Case Study, INL/EXT-17- 42918, J. Oxstrand, A. Bly, August 2017.
Seamless Digital Environment – Data Analytics Use Case Study
  
8/18/2017Digital Architecture for an Automated PlantPlant ModernizationDigital Architecture for an Automated Plant
Development of an Initial Business Case Framework for Fleet-Based Control Room Modernization, INL/EXT-17-42604, C. Adolfson, K. Thomas, J. Joe, July 2017.
Development of an Initial Business Case Framework for Fleet-Based Control Room Modernization
  
7/29/2017Full Nuclear Plant Modernization DesignPlant ModernizationFull Nuclear Plant Modernization Design
Human Factors Engineering Aspects of Modifications in Control Room Modernization, INL/EXT-17-42190, J. Hugo, G. Clefton, J. Joe, June 2017.
Human Factors Engineering Aspects of Modifications in Control Room Modernization
  
6/18/2017Full Nuclear Plant Modernization DesignPlant ModernizationFull Nuclear Plant Modernization Design
Interrogation of Alkali-Silica Reaction Degraded Concrete Samples using Acoustic and Thermal Techniques to Support Development of a Structural Health Monitoring Framework, INL/EXT-17-41852, S. Mahadevan, S. Miele, K. Neal, Y. Bao, V. Agarwal, B. Pham, D. Adams, April 2017.
Interrogation of Alkali-Silica Reaction Degraded Concrete Samples using Acoustic and Thermal Techniques to Support Development of a Structural Health Monitoring Framework
  
4/18/2017Online Monitoring of Concrete Structures in Nuclear Power PlantsPlant ModernizationOnline Monitoring of Concrete Structures in Nuclear Power Plants
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