ML22299A137

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University of Tennessees Powerpoint Presentation on Fast Reactor
ML22299A137
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Site: 07007030
Issue date: 10/26/2022
From: Hines W
Univ of Tennessee - Knoxville
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Office of Nuclear Material Safety and Safeguards
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University of Tennessee Nuclear Engineering Department and Fast Neutron Source

Dr. Wes Hines jhines2@utk.edu Study Nuclear Engineering: Save the World Fast Neutron Source

  • Highly Flexible Subcritical Core designed to replicate the neutron spectrum of any fast reactor (Pb, Na, MSR) or detonation by using artificial intelligence guided core design
  • Used for

- Nuclear data uncertainty reduction to support

  • advanced reactor design
  • nuclear security applications

- Neutron filter design studies for isotope production

- Neutron sensor validation studies

- Nuclear criticality safety training (ORNL)

Fast Reactor Cross Section Data Needs

Next generation (fast reactor) reactor design is strongly dependent on Higher uncertainty in modeling & simulation nuclear data will conservative design result in more which will make the plants more expensive and less competitive Modeling & simulation depends on nuclear data Fast Reactor Designers

Lead Fast Reactor Sodium Fast ReactorMolten Chloride SaltMolten Chloride Salt Fast Reactor Fast Reactor

Sodium Fast Reactor Gas Cooled Fast Reactor Gas Cooled Fast Reactor Nuclear Data Affecting Reactor Design Example 1

  • Beginning-of-Life (BOL) keff +/- 2.2%
  • Coolant temperature feedback coefficient +/- 138%
  • Void worth +/- 147%
  • Uncertainties in key design parameters due to nuclear data have been computed that may be used to set design margins during the TWR development program. The uncertainties of many parameters are higher than is desired, motivating additional efforts in cross section measurements, improved data evaluations, and data assimilations. -

N. Touran, et al.

Source: N. Touran and J. Yang, "Sensitivities and Uncertainties Due to Nuclear Data in a Traveling Wave Reactor," Proceedings of the PHYSOR 2016 Meeting in Sun Valley, ID, May 2016.

Nuclear Data Affecting Reactor Design Example 2

  • A change in absorption cross section Molten Chloride Fast Reactor of 35Cl resulted in 2000 pcm change in BOL keff
  • What are the consequences for depletion studies?

2011 Present

Takeaway: Lower confidence nuclear data leads to unnecessarily robust, ultraconservative and uneconomic designs.

Nuclear Data Needs New Engineering Complex

  • Provided the opportunity to design in a one -of-a- kind facility.
  • NASA, INNL, ORNL, and others contacted to develop vision (2017).
  • Opened for classes in August 2021.
  • Laboratory facilities are being completed.

UTK Fast Neutron Source (FNS)

FNS Facility Design:

- 16x70 Heavily shielded vault and adjacent control room

- Physical security systems

- 18 ceilings and Bridge Crane for moving shielding and core pieces FNS Core and Design:

- Neutron Generator driven subcritical system (.95-.98 Keff )

- Oscillatordifferential cross section measurements, Transfer System, and Beam Line for both integral and

- Highly flexible and reconfigurable design INL VTR Concept - > STEK Facility

  • Sub-Netherlands (operated 1969-critical Fast -Thermal Coupled Facility in 1973)
  • Fast/Thermal coupled design to minimize fuel requirements
  • Influence of fission product cross sections on European breeder reactor.
  • Integral measurements of fission cross sections by sample oscillator in fast spectrum using the inverse-kinetics method
  • Unique experiment with a comprehensive list (~ 115 samples) of fission products (and other materials) measured at 5 different core configurations to represent different levels of burnup.

Flexibility Concept

  • MASURCA Facility (Cadarache, Fr.)

- Neutronics studies of fast lattices (1966)

- Air cooled fast reactor operating at

  • maximum of 5kW th
  • flux level up to 109 n /c m 2 /s

- Reconfigured into subcritical ADS: MUSE

Flexible Design:

  • Core of wrapper tubes 4x4x 1m long
  • cylinder rodlets
  • square platelets
  • Flexible loadings

Soule, R, W. Assal, P. Chaussonnet, C. Destouches, C. Domergue, G. Imel, G.M. Thomas, Neutronic Studies in Support of ADS : The MUSE Experiments in the MASURCA Facility, 2002 Fast/Thermal Coupled Design Concept 24

1 diameter Uranium rod (8 long) 1 square ended rectangle Pb, Na, or Salt (8 long) 30 Fast Cassette

0.5 diameter Uranium rod (8 long)High Density Poly Block 30

Flexible Core Design Thermal Cassette

Experimental Volume Thermal Ke f f = 0.88 Flux 2.23E+06 Fa s t Ke f f = 0.60 w/ 3x10^9 n-Generator Coupled Ke f f = 0.95 Simulation Results

Fast Flux Thermal Flux

Reflector: 10 steel Shielding: 4 borated poly and 6 steel Extreme Flexible and AI Design

AI Design Optimization Plate Design

0.5 thick Uranium plate

Human Design 0.5 thick Lead plate 6x6 x.5

0.05 thick Cadmium plate

0.5 thick poly plate

AI Design Initial Genetics Algorithm Design:

  • Improved Performance by 3X Expert-Designed vs. AI Designs

Goal: Fast Flux F/NF Ratio Uranium For a specific desired neutron spectrum and Mass (lbs.)

materials (advanced reactor design), optimize GA A 2.29E+06 62.4 1788 GA B 2.72+06 42.8 1677 the distributions of the materials throughout Cyl. Model 1.16+06 40.0 1709 the core. Plate Model 1.24E+06 32.5 1739

  • When constraints were removed: GA
  • Loaded more fuel around the experiment volume
  • Increased thermal booster size by moving polyethylene in center zone
  • Added lead (reflector) behind neutron source
  • Cadmium (thermal neutron poison) near experiment volume
  • Performance Metric Results
  • 92% higher Fast/Non-Fast Flux Ratio
  • Matches neutron spectrum better Color Key:
  • 119% higher fast flux per source neutron Horizontal Cut of First Iteration of Uranium
  • Leads to quicker experiments Plate Model (left) and an Example of Lead GA designed FNS (right) Polyethylene Void Multi-objective Optimization
  • We may have several competing objectives for a Specific FNS loading design

- Maximize Flux

- Maximize Representativity

- Limits on Keff

  • NSGA-II algorithm

- Non-dominated Sorting Genetic Algorithm II Need Slide Here

- Simultaneously optimizes each objective without being dominated by any other solution.

- Seen as selecting individuals spaced along a p a reto f ro nt.

AI Aided GA Speed-up

  • MCNP is very computationally intensive.
  • CNN is trained with learn relationships that MCNP calculates.
  • CNN is used to proactively delete poor designs

Target Spectrum GA MCNP Objective Multi-Objectives S co re s Candidate Designs CNN Recall CNN Train

A rch i te ct u re Speed-up Results

  • Reduced the number of calls to MCNP that resulted in poor designs that did not meet requirements such as Ke ff.

Pareto front expanded significantly. Shows the network learns features that are based on relative plate locations with one plate swapped: average error of ~0.00280 dk Neutron Spectrum Representativity

Calculated neutron flux spectra achievable by different FNS designs compared to a target flux spectrum from a generic sodium fast reactor.

FNS NRC Licensing

  • The Fast Neutron Source Facility will require a U.S. Nuclear Regulatory Commission (NRC) 10 CFR 70 license prior to commissioning and operation.

Category I: Strategic special nuclear material uranium-235 (contained in uranium enriched to 20 percent or more in the U - 235 isotope),

uranium-233, or plutonium.

Category II: Special nuclear material of moderate strategic significance 10,000 grams or more of uranium-235 (contained in uranium enriched to 10 percent or more but less than 20 percent in the U - 235 isotope).

Categories III: Special nuclear material of low strategic significance 10,000 grams or more of uranium-235 (contained in uranium enriched above natural but less than 10 percent in the U-235 isotope).

  • Category II and above require 24 hour2.777778e-4 days <br />0.00667 hours <br />3.968254e-5 weeks <br />9.132e-6 months <br /> guard and layered defenses.

FNS NRC Licensing -continued

  • Topical Areas of the License

- Organization

- Criticality safety

- Radiation protection

- Fire protection

- Environmental protection

- Security

- Materials control & accounting

The University has already had several meetings with the NRC and in May of 2018, it filed a Letter of Intent with the NRC to submit a license application to possess and use special nuclear material (10 CFR Part 70) in its new Nuclear Engineering Building.

Path Forward

  • Infrastructure Grant

- Tour Aurned down 4 times requesting neutron generators to use in TC facility and then the FNS

- Some reviews consider FNS as a long timeline and high risk of such as facility that uses close to a ton of 9.75% enriched Uranium.

- Independently moved forward with the DD neutron generator purchase

- Revised our plans into a stepwise design which will significantly reduce project risk through the initial utilization of several tons of natural Uranium which we currently possess.

- Risk reduction also results in reduced licensing requirements, lowered safeguards and material accountability requirements, and the removal of engineered safety and shutdown systems, to name a few.

Past FNS Meeting History

  • Early discussions with ORNL (2017-)

- Agreed on need and synergistic activities with criticality safety group

- Lou Qualls, David Holcomb, Doug Bowen, Alan Icenhour,

  • Discussions with INL (2017-)

- Phillip Finck, Kelly Beierschmitt, Brenden Heidrich,

- Visit to Cadarache with Phillip Finck and Jesse Gehin

  • Discussion with Y-12 and BWXT on fuel manufacturing (2017-present)
  • Meetings with NRC on Facility Licensing (Apr. 2018)
  • Meetings with DOE Leadership (Apr. 2018)

- Shane Johnson, Tom Miller, Frank Goldner, Dan Funk

  • TRTR Meetings:

- Douglas K. Morrell, DOE-NE Research Reactor Infrastructure Program

  • Meeting with Brent Park NA-20 (Mar. 2019)
  • Meetings with key congressional personnel (2018-present)
  • Meeting with Thomas Zacharia (Apr. 2019)
  • Meeting with Brian Robinson, DOE MSR lead (Oct. 2019)
  • Meeting with Rita Baranwal DOE NE-1 (Nov. 2019)
  • Meeting with Dr. Kathryn Huff DOE NE-1 (August 2021)

FNS Select UTNE Investments

  • UTNE Senior Design Projects (>2 per year funded and dedicated to FNS facility)

- 2017: Approach to Critical Facility, Fast Neutron Source Initial Design

- 2018: FNS Oscillator System, Automated Flux Mapping System

- 2019: Pneumatic Transfer and Counting System, FNS Flux Mapping Continued

- 2020: Pneumatic Transfer Continued, Shutdown System, Safeguards Design, Criticality Design

- 2021: FNS Time of Flight Chopper Design, FNS Time of Flight Detector Design

  • NRC Licensing Preparations

- Meetings with NRC

- Collaboration with Ralph Butler

  • Experimental Facility

- DD Neutron Generator, Custom Neutron Source Purchased ($230K)

- Structural Components Purchased ($40K)

- Radiation Monitoring Detectors ($20K)

  • Faculty Hires

- Vlad Sobes

- Sandra Bogetic Vlad Sobes January 2020

Research Interests

- Nuclear Data with a particular interest in the application of Artificial Intelligence

- Sensitivity/Uncertainty (S/U) analysis methods Previous Appointment

- Research Scientist, Oak Ridge National Education Laboratory

  • PhD, Nuclear Science and Engineering, Massachusetts Institute of Technology Related Ser vice
  • Chair of the 2021 Workshop for Applied Nuclear Data Activities (WANDA): AI/ML for Nuclear Data Sandra Bogetic January 2021

Research Interests

- Numerical methods for neutral particles

- Applications in reactor design, shielding, and nuclear security and nonproliferation Previous Appointments

- Postdoctoral Researchers at Lawrence Livermore National Laboratory Education

  • PhD Nuclear Engr. University of California, Berkeley Related Serivce
  • Co-Chaired WoNDRAM: Workshop on Nuclear Data for Reactor Antineutrino Monitoring.

National Letters Support Evidence

  • Douglas G Bowen: ORNL Section Head, Nuclear Criticality, Radiation Transport, and Safety (also nuclear data group)

- Specific Comments

  • Jess Gehin: INL Associate Laboratory Director, Nuclear Science and Technology directorate

- Specific Comments 2020 DOE IRP Proposal

  • In 2020 a $5M DOE Integrated Research Project proposal was submitted.

The goal of this NEUP-IRP is to design, license, construct, and test a facility that can be used to measure nuclear physics properties in specific fast reactor flux spectra. This project will deliver to the nation a Fast Neutron Source (FNS) experimental facility that supports Molten Salt Reactors (MSRs), as well as other advanced fast reactor concepts, through improved cross sections and neutronics codes for advanced reactor design and licensing.

  • Therefore, a strong plan and team of faculty and laboratory experts have been identified to support final design, licensing, construction, and testing.
  • Collaborators were from INL and ORNL.
  • The IRP was not funded, instead a Molten Salt loop was constructed at MIT, which was more in line with the call.

DOE IRP Proposal Reviewer Comments

  • The project builds on a $129M investment from the University of Tnew nuclear engineering building which will house the FNS experiment. Overall, a ennessee into a very good proposal and good objectives but isn't MSR specific.
  • The proposals senior/key personnel have previous research experience with fast reactor design, and research reactor facilities and measurement systems.
  • The existing research space, instrumentation and facilities at the host institution and its partners will meet the needs of the proposed IRP.
  • The plan collaboration between UTK, ISU, NCSO, and ORNL, Y -12, INL is good and appropriate.
  • Excellent discussion on the use of the equipment to support the NE mission.
  • Safety and protocols well described. NRC licensing for SNM in progress - would be a good investment for NE.
  • There is no facility of this type in the U.S. to produce nuclear RR data for fast reactors. This will strongly support M&S,
  • The Fast Flux Facility (FFF) addresses an identified gap by NSUFwell-represented in DOE -NE, but this supports M&S as well as other programs.. Nuclear data is not
  • We l l -organized and thorough plan. Each phase builds upon the previous one. Good team, drawing from the whole department.
  • Proposed research unquestionably addresses the needs of DOE-NE.

Ralph Butler NRC Licensing Expert

  • Ralph A. Butler, P.E., has over 35 years if nuclear experience in the management, oversight, and operation of Navy, commercial, university, and U.S.

Department of Energy (DOE) facilities, both domestic and international.

  • Vette d by NRC.
  • RA BUTLER PE, LLC, St. Charles (2018 - present)

- Senior Advisor to Northwest Medical Isotopes, LLC (2018-present)

- NRC Licensing: Construction Permit - Operating License for their Radioisotope Production Facility

  • University of Missouri Research Reactor Center, MURR, (2000-2017)

- Director, MURR (2001-2017)

- Overall responsibility for safe and reliable operation of the 10 M We research reactor, Directed and oversaw the development and submission of multiple NRC license amendments including 20 year renewal of operation license.

Summary

  • UTNE is constructing a Fast Neutron Source to meet national needs.
  • New building has opened and labs are being completed.
  • Custom DD Neutron Generator purchased.
  • Design changed to natural Uranium to reduce risk and show proof of principle.

Thanks to ORNL and INL for their collaboration and contributions.

FNS Publications

  • Hines, J.the University of TW., J. Peveyennessee, and V. Sobes, Preliminary Design of a Fast Flux User Facility at. American Nuclear Society Winter Meeting, 2018.
  • Peveyof a Coupled Fast and Thermal Subcritical Assembly, J. Chvala, O., Davis, S., Sobes, V., and J.W. Hines, Genetic Algorithm Design, Nuclear Technology, 206:4, 2019, doi: 10.1080/00295450.2019.1664198
  • PeveyDesign of a Coupled Fast-Thermal Subcritical Assembly, J. O. Chvala, S., Davis, V., Sobes, and J.W. Hines, Current Progress on the, Transactions of the American Nuclear Society Vol 212, 2019.
  • Pevey, J, C. Salyer; O. Chvala; V. Sobes and J.W. Hines Multi -Objective Design Optimization of a Fast Spectrum Nuclear Experiment Facility Using Artificial Intelligence, Annals of Nuclear Energy, 162:7, 2021.
  • Pevey J, B. Hiscox, A. Williams, O. Chvá la, V. Sobes, and J.W., Gradient -Informed Design Optimization of Select Nuclear Systems, Nuclear Science and Engineering, 2021.
  • VSource at UTK: A Project with Massimo Salvatores. Sobes, J. Pevey, A. Depillis, O. Chvala, S. Bogetic, W, PHYSOR 2022.. Hines, The Fast Neutron
  • Pevey, J.,V. Sobes and J.W. Hines, Neural Network Acceleration of Genetic Algorithms for Nuclear Core Design, Artificial Intelligence Applications in Nuclear Energy special issue of Frontiers in Energy Research, 2022.