Teaming Partners

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Investigator Name 
Organization Type 
Area of Expertise 
Background, Interest,
and Capabilities
 
Contact Information 
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 Argonne National LaboratoryYoung Soo Park Federally Funded Research and Development Center (FFRDC) Power Generation and Energy Production: Fossil/Nuclear Young Soo Park leads the Robotics and Remote Systems program at Argonne National Laboratory. He has 30 years of experience in R&D and design of robotics and remote systems (R&RS) for various nuclear applications, such as operation, inspection, maintenance, waste management, and D&D. ANL R&RS program aims at adopting new emerging technologies, such as 3D sensing, mixed-reality, 3D digital prototyping/simulation, AI, and IT technologies, to develop enhanced remote operations technologies for practical applications. Rather than developing complex robotic systems, which becomes hindrance to deployment, the innovation is focused on enhancement on human-robot interface and adaptation of advanced simulation. In particular, recent R&D programs resulted in the following technology developments, which are directly related to this program call:

- An enhanced telerobotic system, namely augmented teleoperation, which provides mixed-reality operator interface to guide human perception-action in remote operation to simplify and enhance robotic performance for dexterous manipulation of heavy tools. It is implemented by integrating real-time 3D sensing/reconstruction, virtual- and augmented-reality technology.
- An enhanced telerobotic system, namely teleautomy, which adopts machine learning technique to extract robot’s autonomous motion primitives from human demonstration. This method provides efficient semi-automatic operation of complex remote systems.
- Virtual-reality simulator for plant operator training, which integrates the nuclear plant model, plant control/protection systems, and operator interface. It has also integrated plant process monitoring, diagnosis, and 3D robot simulator.
- Robot system framework: We have developed a generic software framework for robotic system encompassing motion control, trajectory planning, path planning, and task planning. Built on the network distributed robot operating system (ROS), it provides flexible framework for integration with external system such as AI engines, user interface and simulator.

ANL R&RS program also has the Robotics and Augmented-Reality Laboratory in support of the program, which houses collaborative robotic systems, multi-modal augmented-reality systems, and large-scale virtual-reality simulator.
Website: www.anl.gov

Email: ypark@anl.gov

Phone: 630-252-5094

Address: 9700 South Cass Ave., Lemont, IL, 60439, United States
IL
 NuScale PowerErwin Laureano Large Business Power Generation and Energy Production: Fossil/Nuclear NuScale Power (NuScale) is developing a new modular light water reactor to supply reliable and abundant carbon-free nuclear energy. The NuScale small modular reactor (SMR) design features a fully fabricated NuScale Power Module™ capable of generating 60 MW of electricity using a safer, smaller, scalable version of pressurized water reactor technology.

A NuScale power plant can house up to 12 SMRs for a total facility output of up to 720 megawatts (gross). The SMR design is scalable, allowing customers to incrementally increase facility output to match demand. It is also flexible, providing significant opportunities to reduce the financial commitments and overall production costs normally associated with legacy nuclear facilities, including the amount of required staff because of the SMR’s unparalleled safety features.

Our interest involves the use of digital twins for both SMR and BOP to support online condition monitoring and performance, optimized predictive maintenance (PdM), use of cloud based servers for big data, optimized O&M activities (maintenance and surveillance testing), and robotics for remote handling and remote inspections.

NuScale Power is capable of providing strong O&M support with our team of previously licensed Senior Reactor Operators (operations, maintenance, and work management), Human Factors Engineers, NIST-1 Test Engineers (prototype modeling), Simulator Engineers, and Software Developers.
Website: https://www.nuscalepower.com/

Email: elaureano@nuscalepower.com

Phone: (541) 250-9223

Address: 1100 NE Circle Blvd., Suite 200, Corvallis, OR, 97330, United States
OR
 Enterprise Energy & Researchshahla keyvan Small Business Power Generation and Energy Production: Fossil/Nuclear EER’s research capabilities and resources in two main domains of data science and nuclear reactor operation encompasses reactor diagnostics/monitoring as well as inspection techniques utilizing Artificial Intelligence (AI). EER has developed real-time automated nuclear fuel pellet inspection prototype which utilizes depleted fuel pellet surface imagery integrated with AI techniques to detect flaws leading to accept/reject decision making based on the fuel manufacturing industry tolerance limit.
EER’s research scientist’s involvement with reactor diagnostics and fault detection (including acoustic monitoring) spans over decades covering fault detection in nuclear plant components via time series/statistical data analysis in the 80’s to AI for both 1-Dimentional data analysis and 2-D data (image analysis) in the 90’s and beyond. An extension of these capabilities has led to the development of temperature profiler, transferring images of surface walls of high temperature furnaces to temperature values at every pixel of the original image.
At the core of EER’s resources to perform analytics & data science is the center for AI application in engineering which holds an extensive library of various AI simulators including ART (Adaptive Resonance Theory) paradigm of Neural Networks.
Dr. Keyvan, a UC-Berkeley and MIT graduate in nuclear engineering, has good understanding of O&M (from operation/control to fuel integrity measurement) of reactor core through her hands-on experience as a licensed reactor operator at UC-Berkeley nuclear reactor in the 1980’s.
EER welcomes collaboration/partnering with interested parties towards accomplishing the GEMINA program’s goal.
Website: WWW.EER.EXPERT

Email: keyvan@eer.expert

Phone: 3142237319

Address: 11500 Olive Street Road, Suite 112, Creve Coeur, MO, 63141, United States
MO
 TerrapowerBaofu Lu Large Business Power Generation and Energy Production: Fossil/Nuclear TerraPower, a leading nuclear innovation company, has accrued a wide variety of knowledge, expertise and experience in reactor design, modeling and simulation, safety analysis and project management. Behind innovations, technologies and programs, TerraPower actively works to bring together the strengths and experiences of the world’s public and private nuclear research and energy sectors. As a leading nuclear innovation company, TerraPower is taking actions in developing advanced nuclear answers for pressing global needs and strives to improve the world through nuclear energy and science.
TerraPower is currently developing the Traveling Wave Reactor (TWR) and the Molten Chloride Fast Reactor (MCFR). TerraPower brings extensive knowledge of advanced reactors to the effort of significant O&M cost reduction through innovations.
Website: www.terrapower.com

Email: blu@terrapower.com

Phone: 425-324-2731

Address: 15800 Northup Way, Bellevue, WA, 98008, United States
WA
 North Carolina State UniversityMihai A. Diaconeasa Academic Power Generation and Energy Production: Fossil/Nuclear I am currently an Assistant Professor of Nuclear Engineering at the North Carolina State University. I obtained my B.S. degree from University College Utrecht, the international undergraduate honors college of Utrecht University, the Netherlands, my M.S. in Nuclear Science and Engineering from Massachusetts Institute of Technology (MIT), and Ph.D. in Mechanical Engineering from University of California, Los Angeles (UCLA). After my graduation, I held a postdoctoral research scholar position at the B. John Garrick Institute for the Risk Sciences from the School of Engineering at UCLA.

Over the past years, I've developed the methodologies needed to design and implement a suite of computer codes in the probabilistic risk, reliability, and resilience assessment fields for nuclear, aerospace, and maritime industries. I was also the associate general chair for the International Conference on Probabilistic Safety Assessment and Management (PSAM-14) hosted by UCLA in 2018. I am a member of the American Nuclear Society (ANS) Standards Committee ANS-30.1 Working Group under the Research and Advanced Reactors Consensus Committee and a non-voting member of the American Society of Mechanical Engineers (ASME) Safety Engineering and Risk Analysis Division (SERAD) Executive Committee.

I lead the design and development of ADS-IDAC, a dynamic probabilistic risk assessment methodology and software platform for nuclear power plants, the Hybrid Causal Logic Analyzer system risk and reliability software used to enhance the design process and assess the commercial off-the-shelf (COTS) parts usage in space systems for extended deep space missions at NASA’s Jet Propulsion Laboratory (JPL), and the Phoenix human reliability analysis methodology and software for Japan’s Nuclear Regulation Authority (JNRA).

My research focus includes theories, applications, and simulation-based techniques in risk sciences such as traditional and dynamic probabilistic risk assessment, reliability analysis, resilient systems design, probabilistic physics of failure modeling, and Bayesian inference.

The Department of Nuclear Engineering has extensive internal computational capabilities to support modeling and validation, aside from the NCSU world-class computational capabilities. The computer capabilities are set up for secure collaborative research and end-to-end software developments.
Website: https://www.ne.ncsu.edu/people/madiacon/

Email: madiacon@ncsu.edu

Phone: 9195153768

Address: 2500 Stinson Drive, Raleigh, NC, 27695-7909, United States
NC
 Blue Wave AI LabsJohn Gruenwald Large Business Power Generation and Energy Production: Fossil/Nuclear Blue Wave AI Labs applies various machine learning techniques including unsupervised learning, supervised learning, reinforcement learning, Generative Adversarial Networks (GANS), in a variety of ways to improve the operational efficiency and safety of Nuclear Power Generation. Blue Wave AI Labs experience includes predictive analyses for Boiling Water Reactors, component lifetime prediction, and resining useful life models for nuclear Power plant components. Blue Wave staff includes scientists and engineers with expertise in AI and power generation domain knowledge. Our offices are located near Purdue University affording the opportunity for teaming with academic experts.
Website: www.bluewaveailabs.com

Email: tom@bwailabs.com

Phone: 6306994124

Address: 3000 Kent Ave, West Lafayette, IN, 47906, United States
IN
 Berkeley Data Analytics Group, LLCRichard Huntsinger Small Business Other Energy Technologies Berkeley Data Analytics Group provides expert advice and analysis to industry and government organizations working on some of the world's hardest data-intensive business operations problems. We are affiliated with the University of California-Berkeley.

Our expertise:
• Data Science & Computational Statistics applied to Business Operations
• Nuclear Power Operations & Maintenance, Training, and Risk Assessment
• Process Optimization and Automation

Contact Dr. Richard Huntsinger (huntsinger@berkeley-data.com) or Dr. Michael Ford (ford@berkeley-data.com).
Website: www.berkeley-data.com

Email: huntsinger@berkeley-data.com

Phone: 408-219-6301

Address: 3573 W Foxes Meadow Drive, Tucson, AZ, 85745, United States
AZ
 Argonne National LaboratoryHussein Khalil Federally Funded Research and Development Center (FFRDC) Power Generation and Energy Production: Fossil/Nuclear Argonne pioneered the application of nuclear fission for energy generation and maintains world leading capabilities for developing innovative reactor and fuel cycle systems. Areas of in-depth expertise include reactor physics, thermal hydraulics, structural mechanics, fuels and materials behavior, and reactor plant instrumentation, diagnostic and control systems. This expertise is employed to optimize the design and operation of reactors operating with a variety of neutron energy spectra, coolant types and fuel-cycle schemes.
Argonne’s nuclear energy research activities range from development and experimental validation of modeling techniques to analysis, optimization studies and codes & standards supporting design, licensing, and operation of nuclear reactor plants. Achievement of competitive economics, inherent safety and a high degree of operational autonomy has been a cornerstone of Argonne’s nuclear energy development efforts.
Argonne researchers carry out reactor design and safety analyses using integrated computer codes aimed at modeling the behavior of the entire reactor and associated engineering systems. These phenomenological models are used to simulate the steady state and transient behaviors of all the major components in a nuclear power plant, including the reactor core, the coolant systems and components, and the plant control and protection systems. Modeling capabilities are continually improved and validated to represent novel design features or demonstrate enhanced performance and safety.
Argonne researchers also develop, demonstrate and apply advanced software tools for optimizing the operation and maintenance of nuclear power plants. This software employs potentially large datasets of plant information, sophisticated data analysis techniques, as well as mechanistic (physics-based) modeling for determination or confirmation of plant system conditions. Development and use of this software leverages extensive computational science capabilities and computing hardware that includes Argonne’s leadership class supercomputers. Plant personnel can employ this software to optimize plant operation and maintenance and assist in the response to potential upsets. Argonne’s capabilities and software are thus highly relevant for ARPA-E’s interest optimizing the operation and maintenance of advanced reactor plants, enhancing flexibility in response to variation in energy demand, and significantly reducing operation & maintenance cost.
Website: www.anl.gov

Email: hkhalil@anl.gov

Phone: 6302527266

Address: 9700 S. Cass Ave, Bldg. 208, Lemont, IL, 60439, United States
IL
 Expert Microsystems, Inc.Randall Bickford Small Business Power Generation and Energy Production: Fossil/Nuclear Randy Bickford is the founder and President of Expert Microsystems, Inc. Randy is a recognized worldwide expert in predictive analytics for asset health management and prognostics. He is one of the industry’s pioneers and holds multiple patents in the areas of pattern recognition, fault detection, diagnostics, and prognostics. He is a principal architect and developer of the SureSense® software suite, which is a comprehensive AI-based reliability assurance software product deployed for predictive asset health management in the power generation, oil and gas, aerospace, military, manufacturing, electronic and industrial process control industries. Randy also led development of the Fleet-wide Prognostics and Health Management Suite software, a web-based, enterprise-scale platform for online health management of power plant asset fleets for the Electric Power Research Institute (EPRI) and its member utilities. Randy has worked widely within industry for developing best practices for advanced pattern recognition modeling; remote monitoring and diagnostic centers; and developing asset fault signatures for monitoring and diagnosing a wide range of industrial assets.
Website: www.expmicrosys.com

Email: rlb@expmicrosys.com

Phone: 916-989-2018 x502

Address: 7932 Country Trail Dr., Suite 1, Orangevale, CA, 95662, United States
CA
 GSE Performance Solutions, Inc.Bahram Meyssami Small Business Power Generation and Energy Production: Fossil/Nuclear GSE Performance Solutions is the world's largest supplier of real-time simulation software for operator training and system design and validation for the nuclear power, fossil power and process industries. Our recent history includes our selection as the simulation software provider for the NuScale, mPower, AP1000, and many US government projects and research collaborations. The academic community is also familiar with our software, making collaborations seamless. Our software has been used in research with academia and the DOE Lab complex to include human factors, plant digitalization, cyber security, procedures and other capabilities.

Our interest is to bring this vast experience to bear in additional First of a Kind reactor designs to inform the designs from a safety, design validation, and maintenance perspective.
Website: www.gses.com

Email: bahram.meyssami@gses.com

Phone: 4109707875

Address: 1332 Londontown Boulevard, Sykesville, MD, 21784, United States
MD
 Argonne National LaboratoryAlexander Heifetz Federally Funded Research and Development Center (FFRDC) Power Generation and Energy Production: Fossil/Nuclear Dr. Alexander Heifetz is currently a Principal Electrical Engineer with Plant Analysis & Control and Nondestructive Evaluation Sensors Group of the Nuclear Science and Engineering Division at Argonne National Laboratory. He received BS in Applied Math, MS in Physics, and PhD in Electrical Engineering, all from Northwestern University. Alex joined the Nuclear Engineering Division as Director’s Postdoctoral Fellow in 2008, then became an Electrical Engineer (technical staff member) , and later Principal Electrical Engineer. At Argonne, he has been involved in a wide range of projects related to nuclear energy and nuclear security. His most recent research has been sponsored by DOE-NEET (Nuclear Energy Enabling Technology) ASI (Advanced Sensors and Instrumentation), and NEET AMM (Advanced Methods in Manufacturing). Alex has published over 50 journal and conference papers (1100+ citations according to Google Scholar), and has three granted US patents, and shared the Best Paper Award at the 2019 IEEE International Conference on Electro/Information Technology (EIT 2019).
Website: https://www.anl.gov/organizations/nuclear-science-and-engineering-division

Email: aheifetz@anl.gov

Phone: 6302524429

Address: 9700 S Cass Ave, Lemont, IL, 60439-4803, United States
IL
 Georgia Institute of TechnologyDan Kotlyar Academic Power Generation and Energy Production: Fossil/Nuclear My group is actively engaged to support the nuclear industry with modeling and simulation challenges related to advanced concepts.
My interests include the design of advanced reactors for terrestrial and special purpose applications. My research in this area includes the design of various reactor types and fuel cycle options to address the issues of the current fuel cycles most efficiently, design of micro-reactors, and design of nuclear thermal propulsion systems. I am also interested to partner-up and investigate various hybrid energy systems and perform economic and market analyses, which aligns well with our expertise. My lab also develops and maintains advanced reactor physics modeling tools which are necessary to understand the operational limits and assess fuel performance, in terms of burnup and thermal hydraulic reliability, and the associated safety margins.
Website: http://pwp.gatech.edu/core/

Email: dan.kotlyar@me.gatech.edu

Phone: 404-385-5372

Address: 770 State St NW, Atlanta, GA, 30332, United States
GA
 Bruce Patton (self employed)Dr. Bruce Patton Individual Power Generation and Energy Production: Fossil/Nuclear I am an experienced Nuclear Engineer with a demonstrated history of working in the DOE nuclear lab research community. I am skilled in reactor physics and shielding. Strong modeling and simulation professional with a Doctor of Philosophy (Ph.D.) in Nuclear Engineering from the University of Michigan.

I have an extensive expertise nuclear systems modeling using both the SCALE and MCNP code packages. I have attended training in the OpenFOAM cfd code, and have basic entry level experience in its applications.

I am interested in the application of both opensource and commercial mult-physics codes with existing neutronics codes to model advanced nuclear reactors, especially molten salt reactors.
Website: https://www.linkedin.com/in/bruce-patton-12179940/

Email: PATTOBW@GMAIL.COM

Phone: 865-320-8515

Address: 1143 Oak Ridge Turnpike Ste 107A-185, Oak Ridge, TN, 37830, United States
TN
 Resolved Analytics, PLLCStewart Bible Small Business Other Energy Technologies Resolved Analytics is an employee-owned engineering firm specializing in development and application of both high fidelity and reduced order physics-based numerical models. Our support of potential partnerships will focus on developing modular computational frameworks for the modeling, optimization, and control of primary systems.
Website: www.resolvedanalytics.com

Email: info@resolvedanalytics.com

Phone: 7045599560

Address: 810 Vickers Ave, Durham, NC, 27701, United States
NC
 Advanced Reactor SolutionsAdam Scheider Small Business Power Generation and Energy Production: Fossil/Nuclear Advanced Reactor Solutions holds significant experience in the design, operations, and maintenance of light water reactors. Strengths we bring are 1. asset performance management and predictive maintenance 2. nuclear plant O&M activities. These are two of the eight areas of expertise identified in the Funding Opportunity Announcement (FOA).
Advanced Reactor Solutions has been active in the nuclear power industry over the past 20 years. We have accrued significant experience in determining critical components for maintenance and repair. We have supported numerous outages of US power plants. Additionally, we have substantial experience with system design of new power plants using US NRC regulations and Quality Assurance framework.
Our industry exposure has raised our awareness of new products that have an opportunity to offer substantial benefit if incorporated properly into system design. Due to the slow and tedious licensing process in the traditional NRC framework, new products often fall to the wayside and are left as "later revisions" or "future candidates" for design considerations. Advanced Reactor Solutions sees this FOA as an opportunity for present day designs to embrace state-of-the-art technology. This practice should optimize design for maximum benefit while balancing cost, performance, safety, and quality.
Website: www.advancedreactorsolutions.com

Email: adamscheider@yahoo.com

Phone: 7028123255

Address: 3019 E DESERT LN, Phoenix, AZ, 85042, United States
AZ
 Wayne State UniversityMurat Yildirim Academic Other Energy Technologies Murat Yildirim is an Assistant Professor of Cyber-Physical Systems in the Department of Industrial and Systems Engineering at Wayne State University. Prior to joining Wayne State, he worked as a postdoctoral fellow at the Georgia Institute of Technology (2016-2018), and obtained a Ph.D. degree in Industrial Engineering - System Informatics and Control (2016), and B.Sc. degrees in Electrical and Industrial Engineering from the same institution (2010).

Dr. Yildirim’s research interest lies in advancing the integration of mathematical programming and sensor data analytics in large scale energy systems. Specifically, he focuses on the modeling and the computational challenges arising from the integration of real-time condition monitoring inferences into large-scale mixed integer programs used for optimizing and controlling networked energy systems and networks.

Dr. Yildirim's areas of expertise are as follows:
1) Degradation modeling in complex multi-component systems with dynamic component-to-component interactions
2) Integration of degradation models into mixed integer decision optimization problems used for identifying optimal operations and maintenance decisions for multi-component and multi-asset energy systems
3) Sensor driven optimization under uncertainty - stochastic and robust optimization
Website: https://engineering.wayne.edu/profile/gr7140

Email: murat@wayne.edu

Phone: 4046473831

Address: 4815 Fourth Street,, Detroit, MI, 48201, United States
MI
 EPRIBrian Schimmoller Non-Profit Power Generation and Energy Production: Fossil/Nuclear The Electric Power Research Institute (EPRI) conducts R&D relating to the generation, delivery and use of electricity for the benefit of the public. An independent, nonprofit organization, EPRI brings together its scientists and engineers as well as experts from academia and industry to address challenges in electricity, including reliability, efficiency, affordability, health, safety and the environment. EPRI members represent 90% of the electricity generated and delivered in the United States, with international participation extending to 40 countries. EPRI’s collaborative business model provides a unique mechanism through which R&D opportunities are weighed against industry needs and challenges to accelerate technology development and deployment.

Membership in EPRI’s nuclear sector includes all U.S. commercial nuclear operators, and global participation encompasses more than 75% of the world’s nuclear units. EPRI has expertise in the areas identified in the RFI-0000038 Teaming Partner List: (i) artificial intelligence; (ii) industrial condition monitoring, asset performance management, predictive maintenance; (iii) advanced, autonomous control systems; (iv) multi-fidelity modeling and simulations; (v) robotics and remote maintenance systems; (vi) advanced reactor design; (vii) nuclear plant O&M activities; and (viii) harsh environment sensors and instrumentation.

For example, EPRI:
1. Leads a broad initiative on artificial intelligence (AI.EPRI) to collect, curate, and secure data sets for diverse AI applications in the power industry; educate operations and technical leaders on AI-related applications and issues ranging from power systems to regulatory and policy considerations; and provide a central hub for AI research, including objective evaluations and examinations of security and risks.
2. Maintains a strategic research focus on advanced nuclear energy systems to inform deployment-driven R&D; this focus includes activities on owner-operator requirements, advanced manufacturing practices, best practices for integration of safety assessment into design, and economic analyses.
3. Leads an industry effort on nuclear plant modernization to establish the technical foundation for adopting process improvements and advanced technology that can potentially reduce operating costs while maintaining plant safety and reliability; research activities include automated chemistry analysis, structural health monitoring, and digital communications.
Website: www.epri.com

Email: bschimmoller@epri.com

Phone: 7045952576

Address: 1300 West W.T. Harris Blvd., Charlotte, NC, 28262, United States
NC
 University of Central FloridaFelipe A. C. Viana Academic Power Generation: Renewable My research group is focused on fusing physics-based domain knowledge, machine learning, and multidisciplinary optimization to tackle applications in energy, propulsion, oil & gas, transportation, and others industries. Research interests include:
- Predictive analytics, diagnostics, and prognostics
- Reliability engineering and asset fleet management
- Design, manufacturing, and services of engineering assets
- Multidisciplinary optimization
Website: http://mae.ucf.edu/pml

Email: viana@ucf.edu

Phone: +1 (407) 823-5142

Address: 12760 Pegasus Blvd, Building ENG 1, Room 344, Orlando, FL, 32816-8030, United States
FL
 Framatome Inc.Farshid Shahrokhi Large Business Power Generation and Energy Production: Fossil/Nuclear Framatome is a major international actor in the nuclear energy market recognized for its innovative solutions and value-added technologies for designing, building, maintaining, and advancing the global nuclear fleet. The company designs, manufactures, and installs components, fuel and instrumentation and control systems for nuclear power plants and offers a full range of reactor services.
Advanced Reactors
Framatome is actively engaged in the development of Generation IV advanced reactors, including development of a family of high-temperature gas-cooled reactors that are passive and inherently safe using prismatic core and TRISO particle fuel. These reactors are scalable from 10MWth to 625MWth, providing high-efficiency electricity production and high-temperature steam for process heat applications.
I&C
Framatome delivers a full range of I&C solutions for the safe and reliable operation of nuclear power plants worldwide. We have decades of experience installing more than 80 safety I&C systems on 44 reactors in 17 countries, 250 automation systems previously installed by Schneider Electric, and have installed more than 300 comprehensive I&C systems in nuclear reactors of all types across the world.
Operations and Maintenance
Framatome’s capabilities include:
• Maintenance, component replacement, inspections and checks, refueling operations, and optimized management of reactor shutdowns for maintenance.
• Design, fabrication, installation and maintenance of core monitoring systems
• Virtual reality, mixed reality and augmented reality
• Robotics and specialized tooling for inspection and maintenance of nuclear plant systems, components, and fuel in harsh environments
Modeling and Simulation
Framatome’s capabilities include:
• Training simulators and engineering simulation platforms (through Framatome’s affiliate Corys)
• 3D scanning and modeling
• Analytical modeling
Testing Facilities
Framatome has a number of testing facilities and capabilities, some of which are unique in the world, for operating full-scale or scaled models to perform qualification tests of systems and components or for validating and increasing the fidelity of codes and calculations.
Interests
Teaming with organizations that have artificial intelligence, digital twin, or predictive maintenance capabilities for the upcoming ARPA-E FOA for Optimal Operations and Maintenance for Advanced Reactors.
Website: www.Framatome.com

Email: f.shahrokhi@framatome.com

Phone: 434-832-2923

Address: 3315 Old Forest Road, Lynchburg, VA, 24501, United States
VA
 Siemens Corporation, Corporate TechnologyKeryl Cosenzo Large Business Other Energy Technologies Siemens Corporation, Corporate Technology, located in Princeton, New Jersey, is one of several world-class central research and development labs within Siemens Corporate Technology. Our hundreds of research scientists and software engineers provide technological solutions to the global family of Siemens’ businesses. We also work closely with Siemens’ customers, government agencies, universities, and other organizations.
Areas of expertise are as follows:
• Operation (also remote) and development of 3D scanning devices, including data processing to extract dimensions, features (e.g., doors)
• Operation (also remote) and development of Thermographic inspection processes and software
• Maintenance planning based on the as-is digitized state of components and structures
• Reverse engineering; from point cloud to 3D feature based model
• Condition-based maintenance: condition monitoring (state estimation, forecasting, prediction), fault diagnosis and root cause analysis, reliability modeling and remaining lifetime estimation.
• Semantic modeling and artificial intelligence machine learning
• Security architecture, design and testing
• Security monitoring & attack detection / security analytics
• Cyber security
• Nuclear site condition monitoring
• Large-scale structured control design, real-time planning and reinforcement learning for advanced, autonomous control systems
• Advanced dynamical system identification to plant monitoring and on model reduction to multi-fidelity control design and planning
Website: https://new.siemens.com/global/en/company/innovation/corporate-technology.html

Email: keryl.cosenzo@siemens.com

Phone: 609-216-3853

Address: 755 College Road East, Princeton, NJ, 08540-6632, United States
NJ
 Kadambi Engineering ConsultantsNarasimha Prasad Kadambi Individual Power Generation and Energy Production: Fossil/Nuclear I am a nuclear safety consultant specializing in using risk-informed and performance-based methods to implement and assess safety. I developed my expertise through service with the USNRC as the champion for performance-based regulatory approaches.

Operations and maintenance (O&M) as currently practiced in US light-water reactors is based on a fallacy. The fallacy is that O&M activities are to prevent or mitigate a stylized design basis accident (DBA) which involves an instantaneous double-ended guillotine rupture of the main coolant pipe. A transformational change to the current state-of-the-art in operating nuclear reactor plants’ O&M procedures would incorporate performance objectives that demonstrate on a continuing basis their validity to more plausible scenarios. Advanced reactors can make a clean break from current practice without affecting the operating fleet by causing regulatory perturbations.

I chair a committee with the American Nuclear Society (ANS) in its function as a standards’ developing organization. The ANS’s Risk-informed, Performance-based Principles and Policy Committee (RP3C) is working with groups developing new voluntary consensus standards to include risk-informed and performance-based (RIPB) concepts. RP3C has been promoting the development of a safety case approach to the licensing of advanced reactors. This approach is based on an integrated perspective of design, operations and maintenance as a continuum developed within a systems’ engineering framework. Consensus standards that incorporate RIPB approaches would make it unnecessary to consider a fallacious DBA. The systems engineering framework would assure consideration of the entire reactor plant system (the reactor core and the balance-of-plant) as an integrated system. Cost effectiveness would be assured in this framework by imposing safety requirements only commensurate with the needs of specific performance objectives, and by obtaining from operational information evidence that the requirements contribute to risk reduction. This type of disciplined requirements management would be enabled by the proposed cyber-physical systems approach to simulation of advanced reactors. A performance-based regulatory regime would focus the NRC review on safety outcomes as opposed to compliance with prescriptive criteria. This would generate timely reactor design feedback and enhance regulatory efficiency.
Website: www.kadambiecpl.com (under construction)

Email: prasad@kadambiecpl.com

Phone: 301-236-4162

Address: 15015, Notley Road, Silver Spring, MD, 20905, United States
MD
 Idaho National LaboratoryHumberto E. Garcia Federally Funded Research and Development Center (FFRDC) Power Generation and Energy Production: Fossil/Nuclear INL is part of the U.S. Department of Energy’s complex of national laboratories. The laboratory performs work in each of the strategic goal areas of DOE: energy, national security, science and environment. INL is the nation’s leading center for nuclear energy research and development and managed by Battelle Energy Alliance for the Department of Energy’s Office of Nuclear Energy. As a brief history of it, INL is the site where 52 pioneering nuclear reactors were designed and constructed, including the first reactor to generate usable amounts of electricity. It was here that nuclear-generated electricity first powered an American community. It was here that the Navy’s nuclear propulsion systems were first demonstrated, and here that sailors and officers were trained on how to operate those systems. Throughout our laboratory’s history, scores of this country’s best and brightest have come to advance the promise of nuclear energy. The full complement of capabilities enables INL to respond to today’s nuclear energy challenges, serve as a multi-program lab with broad competencies in the energy and security sectors, and address the challenges ahead. Among the multiple areas of expertise and experience that INL offers, few of them are mentioned here, particularly those related with the topic areas of interest associated with this opportunity, including systems theories and applications; instrumentation, monitoring, control, automated reasoning, and optimization; secure embedded intelligence and integrated state awareness; artificial intelligence; condition monitoring and asset performance management including predictive controls and maintenance; security and resiliency of cyber-physical systems; multi-fidelity modeling and simulations; risk-informed system-centric engineering; data analytics; smart systems, structures, and components; hybrid energy systems integrating multiple energy resources; nuclear plant O&M activities; mission-driven survivability; sensor and interdiction networks; nuclear non-/counter-proliferation; operations research and optimization; V&V, Hardware-in-the-Loop and at-scale demonstrations.
Website: https://inl.gov/

Email: Humberto.Garcia@inl.gov

Phone: (208) 526-7769

Address: 750 MK Simpson Blvd., Idaho Falls, ID, 83415, United States
ID
 EWIBob Kratzenberg Non-Profit Other Energy Technologies EWI is the only independent engineering consultancy with comprehensive labs and advanced manufacturing technology resources dedicated specifically to production process development and improvement. EWI assists clients objectively identify the right technical solution, develop the solution using scientific methodology, and support them through technology implementation. EWI's capabilities include: welding and joining, additive manufacturing, metal forming, advanced automation, non-destructive testing & inspection, structural integrity and design, ultrasonic processing and testing and lab services.
Website: ewi.org

Email: bkratzenberg@ewi.org

Phone: 614-208-0272

Address: 1250 Arthur E Adams Drive, Columbus, OH, 43221, United States
OH
 Zachry Nuclear EngineeringJeffrey Lane Large Business Power Generation and Energy Production: Fossil/Nuclear Zachry Nuclear provides software tools, analysis and engineering for design and operation of facilities worldwide. This includes licensing and regulatory experience for both the current fleet as well as new reactor designs. We have expertise and demonstrated experience in the areas of digital I&C design and upgrades, including completing the design for several advanced reactors, as well as cyber security. We are also developing autonomous control technologies to provide dynamic accident management strategies as part of a current ARPA-E project. That project applies machine learning (ML) and artificial intelligence (AI) to assimilate data from the operating plant and simulations to train digital twins that will make real-time diagnosis of the plant state, project the effects of actions and uncertainties onto the future behavior and make prioritized recommendations to the operator for mitigating strategies. We are the technology-to-market (T2M) lead for that project based upon our commercialization and industry experience.

Our software tools are developed under Nuclear Quality Assurance programs (NQA), so we understand the software requirements needed to deliver engineering solutions to the industry and comply with regulatory requirements. Our preeminent software tool, GOTHIC, is a hybrid between system and CFD codes that provides a computationally efficient solution for multi-scale applications using a domain decomposition approach. This tool is used by many plants and utilities worldwide for design, licensing, safety analysis and operating analysis.

Zachry Nuclear specializes in providing significant cost savings for our clients through margin recapture or operations flexibility by determining innovative solutions using optimization, efficiency improvements and advanced modeling and simulation methods. We would be interested in partnering with you for this FOA.
Website: www.numerical.com

Email: lanejw@zachrynuclear.com

Phone: 9199036763

Address: 200 Regency Forrest Drive, Suite 330, Cary, NC, 27518, United States
NC
 X-EnergyYvotte Brits Small Business Power Generation and Energy Production: Fossil/Nuclear X-energy is developing Generation IV high temperature gas-cooled reactors and the fuel to power these reactors. Our innovative solution will deliver energy that is clean, safe, secure and affordable. X-energy is leading the path forward to a clean energy future. Each Xe-100 reactor will generate 200MWt and approximately 75MWe. The standard X-energy Reactor “four-pack” plant generates approximately 300MWe and will fit on as few as 13 acres. All of the components for the Xe-100 will be road-transportable, and will be installed, rather than constructed, at the project site to streamline construction.

The Generation IV X-energy reactor is helium cooled with a heat source based on pebble bed technology which has a proven meltdown proof core. Heat transfer is via a proven helical coil steam generator. Small size and modular construction result in relatively low cost. On-line fueling allows for continuous operations.


X-energy have completed Phase 2 (out of 6) of it's in house Xe-100 Simulator development. X-energy have develop various techniques & processes to enhance the optimal operations and maintenance of Advance Reactors which will lower LCOE and benefit the Advanced Reactor Community significantly.

X-Energy would like to propose a control approach for the funding opportunity named the Intelligent Modular Autonomous Control (IMAC). X-Energy propagates a control philosophy where the operator only has the authority to request the plant to perform a certain maneuver like initiating a startup, changing the reactor power, turbine power, mass flows etc. The operator therefore cannot control the actuators like the control rod position, pump speeds etc. directly. The different control modules in the plant that will be well thought through and designed will control the actuators of the plant within the specified design envelope upon an external request from the operator like changing the reactor power, helium mass flow etc. This feature will enhance the safety of the Nuclear plant control significantly while also reducing the operator load. The operator can trip any of the actuators if he thinks it is necessary, however it will be highly unlikely that the operator will ever need to manually trip one of the actuators as the Investment Protection System and Reactor Protection System will be designed to do it automatically should the plant parameters exceed allowable limits/set points.
Website: https://www.x-energy.com/

Email: ybrits@x-energy.com

Phone: 2022889737

Address: 801 Thompson Avenue, Rockville, MD, 20852, United States
MD
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