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At least 1,531 records · Page 85

Enhanced Micro-Pocket Fission Detector for High Temperature Reactors - FY17 FInal Project Report

A collaboration between the Idaho National Laboratory (INL), the Kansas State University (KSU), and the French Atomic Energy Agency, Commissariat à l'Énergie Atomique et aux Energies Alternatives, (CEA), has been initiated by the Nuclear Energy Enabling Technologies (NEET) Advanced Sensors and Instrumentation (ASI) program for developing and testing High Temperature Micro-Pocket Fission Detectors (HT MPFD), which are compact fission chambers capable of simultaneously measuring thermal neutron flux, fast neutron flux and temperature within a single package for temperatures up to 800 °C. The MPFD technology utilizes a small, multi-purpose, robust, in-core fission chambers and thermocouple. As discussed within this report, the small size, variable sensitivity, and increased accuracy of the MPFD technology represent a revolutionary improvement over current methods used to support irradiations in US Material Test Reactors (MTRs). Previous research conducted through NEET ASI1-3 has shown that the MPFD technology could be made robust and was successfully tested in a reactor core. This new project will further the MPFD technology for higher temperature regimes and other reactor applications by developing a HT MPFD suitable for temperatures up to 800 °C. This report summarizes the research progress for this three year project.

46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND ↗

ATDM ASD report to ECP FY18Q4

Kokkos and DARMA teams worked together on several significant proposals for the C++ standards body, including the MDSpan and Exectutors proposals. This work has potential for long-term impact into the language standard reflecting core abstractions needed for our HPC programming and development efforts. Kokkos team collaborating with AMD via the Path Forward effort. This is advancing Kokkos support for [AMD] backends, necessary for future exascale/HPC architectures.

97 MATHEMATICS AND COMPUTING↗

Renewable hydrogen production via thermochemical/electrochemical coupling

A coupled electrochemical/thermochemical cycle was investigated to produce hydrogen from renewable resources. Like a conventional thermochemical cycle, this cycle leverages chemical energy stored in a thermochemical working material that is reduced thermally by solar energy. However, in this concept, the stored chemical energy only needs to be partially capable of splitting steam to produce hydrogen. To push the reaction to completion, a proton-conducting membrane is employed to separate hydrogen as it is produced, thus shifting the thermodynamics toward further hydrogen production. This novel coupled-cycle concept provides several benefits. First, the required oxidation enthalpy of the reversible thermochemical material is reduced, enabling the process to occur at lower temperatures. Second, removing the requirement for spontaneous steam splitting widens the scope of materials compositions, allowing for less expensive/more abundant elements to be used. Lastly, thermodynamics calculations suggest that this concept can potentially reach higher efficiencies than photovoltaic-to-electrolysis hydrogen production methods. This Exploratory Express LDRD involved assessing the practical feasibility of the proposed coupled cycle. A test stand was designed and constructed and proton-conducting membranes were synthesized. An LDRD plus-up of $10k enabled the remediation of a membrane sealing issue and enabled testing with an improved membrane. However, the membrane proved too thick for efficient proton conduction, and there were insufficient funds to continue. While the full proof of concept was not achieved, the individual components of the experiment were validated and new capabilities that can be leveraged by a variety of programs were developed.

08 HYDROGEN↗

24.1.3.1.1 – Frisch Grid CZT Spectrometer

During FY18, BNL continued helping FLIR to integrate the instrument prototype, improving the readout software and testing electronics. BNL and LLNL carried out more measurements with the 4x4 arrays in laboratory conditions using several Cs sources and reanalyzed the raw data from the field measurements. LLNL processed the old recalibrated data and new data collected in the lab. These efforts allowed us to understand the cause of the discrepancies observed during the measurements at the Westinghouse Fuel Fabrication Facility (WFFF). The problem was traced back to the original ASIC and DAQ firmware provided by the ASIC developers. A program error and some other deficiencies were identified in the original firmware. These problems, which caused missing some detected events from the data stream, never showed up in the lab environment. So, they were not spotted before the field test. The ASIC designers are currently working to address these problems and will provide the updated firmware for the next field measurements.

36 MATERIALS SCIENCE↗

24.1.3.1.1 – Frisch Grid CZT Spectrometer

During FY18, BNL continued helping FLIR to integrate the instrument prototype, improving the readout software and testing electronics. BNL and LLNL carried out more measurements with the 4x4 arrays in laboratory conditions using several Cs sources and reanalyzed the raw data from the field measurements. LLNL processed the old recalibrated data and new data collected in the lab. These efforts allowed us to understand the cause of the discrepancies observed during the measurements at the Westinghouse Fuel Fabrication Facility (WFFF). The problem was traced back to the original ASIC and DAQ firmware provided by the ASIC developers. A program error and some other deficiencies were identified in the original firmware. These problems, which caused missing some detected events from the data stream, never showed up in the lab environment. So, they were not spotted before the field test. The ASIC designers are currently working to address these problems and will provide the updated firmware for the next field measurements.

97 MATHEMATICS AND COMPUTING↗

Applications of Analytic Models to Spent Fuel Cask Analysis

The advent of high performance computing has changed the way scientists and engineers solve problems. Scientists previously would make a tremendous effort to simplify a complex problem to it’s essence by reducing geometry, neglecting changes and only preserving first-order effects. Now, scientist are able to leave the details in the problem and computationally arrive at a result. To develop the computational physics programs used by scientists, developers make assumptions and use approximation to reduce complex, continuous calculus to algebraic expressions which computers are able to solve.

12 MANAGEMENT OF RADIOACTIVE AND NON-RADIOACTIVE W↗

Final Technical Report on Fluoride Salt Study

This report fulfills the Level 3 Milestone No. M3FT-15IN0311022 titled, “Uranium Electrorefining Using Fluoride Salt” within the Department of Energy (DOE) Work Package No. FT-15IN031102 titled, “U/TRU Codeposition and Fluoride Salt Studies – INL”. This work package falls under the Fuel Cycle Research and Development (FCR&D) Materials Recovery and Waste Form Development (MRWFD) Program 1.02.03.11 titled “Domestic Echem”. The electrorefining of uranium in a LiF-NaF-KF, or FLiNaK, salt containing UF 3 has been performed. Several gram-scale electrodeposits of uranium were collected exhibiting a dendritic morphology similar to uranium electrorefining in chloride salts. Additionally, cyclic voltammetry experiments have been performed at 773 K in FLiNaK-UF 4 , FLiNaK-UF 3 , and FLiNaK-UF 3 -LaF 3 salt mixtures to analyze the feasibility of electrorefining uranium in the FLiNaK salt containing lanthanides. Results are promising, showing a 0.48 V potential window between uranium and lanthanum depositions.

11 NUCLEAR FUEL CYCLE AND FUEL MATERIALS↗

High Resolution Measurements and Modeling in the Arctic

This report details the activity of the project, "High Resolution Modeling and Measurements in the Arctic" spanning Fiscal Years 2016 - 2018 supported by the Sandia National Laboratories Laboratory Directed Research and Development (LDRD) program. The project's primary goal was to test the hypothesis that global climate model bias of low boundary layer clouds lacking liquid water in the Arctic could be improved by increasing horizontal resolution in the model. As model resolution is constrained by computational resources, four different model types were explored and compared to test the project's primary theory. Given the Arctic is a data-sparse region lacking robust data sets of liquid water in clouds, this project also obtained in situ measurements of low clouds with sensors on a tethered balloon system to constrain and compare with the models. Although other model biases remained, the liquid water path generally increased with resolution, supporting the original hypothesis.

54 ENVIRONMENTAL SCIENCES↗

Next-Generation Analysis and Visualization Platform for Manufacturing and Engineering Workflows (Final Report)

Advanced manufacturing and engineering are fundamental to the economic strength and national security of the United States. With the introduction of advanced modeling and simulation practices in manufacturing and engineering over the last several decades, we are producing better products, more quickly, and at decreased cost. Through the adoption of high-performance computing (HPC) enabled workflows, in small- to medium-sized manufacturers and engineering firms, which employ fewer than 500 people, is renewing United States manufacturing and engineering. Despite successes, there are significant barriers to widespread adoption of these tools. Our Phase I SBIR project, Next-Generation Analysis and Visualization Platform for Manufacturing and Engineering Workflows, aims to address several of these barriers. Our project helped us evaluate the feasibility and benefits and mitigate risks of asynchronous processing for analysis and visualization workflows. We evaluated the impact of asynchronous, non-blocking communication can have on the user experience in a complex visualization application. Besides the impact on users, we wanted to understand the impacts on developers (development application programming interfaces (APIs))and generated applications (robustness and stability). Any asynchronous platform implementation is bound to rely on multiple threads which can make the programming model extraordinarily complex and prone to bugs. If not managed carefully, the complexity and resulting instability would be an unacceptable evolution for widely used production tools like ParaView and putting the success of the Phase II project at risk.

42 ENGINEERING↗

Toward Uncertainty Quantification for Supervised Classification

Our goal is to develop a general theoretical basis for quantifying uncertainty in supervised machine learning models. Current machine learning accuracy-based validation metrics indicate how well a classifier performs on a given data set as a whole. However, these metrics do not tell us a model's efficacy in predicting particular samples. We quantify uncertainty by constructing probability distributions of the predictions made by an ensemble of classifiers. This report details our initial investigations into uncertainty quantification for supervised machine learning. We apply an uncertainty analysis to the problem of malicious website detection. Machine learning models can be trained to find suspicious characteristics in the text of a website's Uniform Resource Locator (URL). However, given the vast numbers of URLs and the ever changing tactics of malicious actors, it will always be possible to find sets of websites which are outliers with respect to a model's hypothesis. Therefore, we seek to understand a model's per-sample reliability when classifying URL data. Acknowledgements This work was funded by the Sandia National Laboratories Laboratory Directed Research and Development (LDRD) program.

97 MATHEMATICS AND COMPUTING↗

Electric Field Calculation of Coherent Synchrotron Radiation via the Jefimenko Equation

The electric field of coherent synchrotron radiation (CSR) from an electron beam was investigated by employing an alternate formulation of the Maxwell equation, i.e., the Jefimenko field equation where the electric field depends only on the retarded charge density and retarded current density as described by McDonald1 . From this approach, a simple program is developed in python to calculate the electric field from CSR particle-in-cell(PIC) simulation data. For the CSR problem it is intended that the results of this calculation will be used to assist in the diagnosis of discrepancies found during previous PIC simulation.

73 NUCLEAR PHYSICS AND RADIATION PHYSICS↗

A High-Fidelity Approach for the Simulation of Flow-Induced Vibration

Flow-induced vibration (FIV) is a widespread problem in energy systems becausethey rely on fluid movement for energy conversion. Vibrating structures may be damaged as fatigue or wear occur. Given the importance of reliable components in the nuclear industry, flow-induced vibrations have long been a major concern in the safety and operation of nuclear reactors. In particular,nuclear fuel and steam generators have been known to suffer from flow-induced vibrations and related failures. Over the past five years, the Nuclear EnergyAdvanced Modeling and Simulation program has developed the integrated multiphysics code suite SHARP. The goal of developing such a tool is to perform multiphysics modeling of the components inside a reactor core, the full reactor core or portions of it, and be able to achieve that with various levelsof fidelity. This flexibility allows users to select the appropriate level of fidelity for their computational resources and design constraints.In particular SHARP contains high-fidelity single-physics codes for structural mechanics and fluid mechanics calculations: the structural mechanics implicit code Diablo and the computational fluid dynamics spectral element code Nek5000. Both codes are state-of-the-art.highly scalable (up to millions of processors in the case of Nek5000) tools that have been extensively validated. These tools form a strong basis on which to build an FIV modeling capability.

73 NUCLEAR PHYSICS AND RADIATION PHYSICS↗

Hurricane Evacuation Study (HES) Process Requirements

The Federal Emergency Management Agency's (FEMA) National Hurricane Program (NHP), helps protect communities and residents from hurricane hazards by providing evacuation preparedness technical assistance to State, local, and tribal governments. The Department of Homeland Security (DHS) Science and Technology Directorate (S&T) and FEMA are co- sponsoring an effort to modernize technology components of the NHP, including the Hurricane Evacuation Study (HES), which addresses planning and impact assessments for coastal regions. The current HES process is manual, financially costly, and can take up to several years to complete. To streamline this process, the NHP Technology Modernization Program is developing an automated HES Tool that will reduce the cost and time requirements of the HES process by up to 70%. This document outlines the requirements of the current HES process and explains how the HES Tool can be used to fulfill those requirements. It also contains a detailed list of the modeling and simulation capabilities available within the HES tool.

54 ENVIRONMENTAL SCIENCES↗

Sensitivity Analysis in Xyce

Parametric sensitivities of dynamic system responses are very useful in a variety of applications, including circuit optimization and uncertainty quantification. Sensitivity calculation methods fall into two related categories: direct and adjoint methods. Effective implementation of such methods in a production circuit simulator poses a number of technical challenges, including instrumentation of device models. This report documents several years of work developing and implementing direct and adjoint sensitivity methods in the Xyce circuit simulator. Much of this work sponsored by the Laboratory Directed Research and Development (LDRD) Program at Sandia National Laboratories, under project LDRD 14-0788.

42 ENGINEERING↗

GeoRePORT Protocol Volume I: Background Document

The aim of the GeoRePORT Protocol is not to create a country-wide reporting standard for hydrothermal resources. Instead, it aims to best fit the needs of GTO in reporting impacts of its research, development, and deployment (RD&D) activities. The goals of the GeoRePORT Protocol documents are to: provide a clear, objective, comprehensive, understandable (to technical and nontechnical audiences) protocol for reporting geothermal resource grade and project progress; provide examples for using the methodology for GTO goal setting, measuring baselines, and reporting the impact of GTO-funded projects. This Protocol will help GTO to: quantitatively identify the greatest barriers to geothermal development; develop measurable program goals the will have the greatest impact to geothermal deployment; objectively evaluate proposals based (in part) on a project's ability to contribute to program goals; monitor project progress; report on GTO portfolio performance; communicate the impacts of funding decisions to non-technical budget decision makers (e.g., U.S. Congress).

15 GEOTHERMAL ENERGY↗

Understanding Transient Combustion Phenomena in Low-NO x Gas Turbines

The goal of this work was to understand, quantify, and eventually predict combustion instability during operational transients in low-NO x gas turbine combustors. Transient operation is defined as a mode where one or more key operating parameters, including equivalence ratio, fuel composition, or fuel splitting between nozzles in a combustor, are varying in time. The timescale over which this variation occurs will be referred to as the transient timescale, the magnitude of the change in the transient parameter will be referred to as the transient amplitude, and the direction of the variation will be referred to as the transient direction. Transients occur regularly in power generation gas turbine operation. For example, load-following gas turbines vary load to meet power demands while accounting for variation in unsteady grid contributors like wind and solar power. Operators achieve this by varying equivalence ratio and fuel splitting inside the combustors to produce more or less power. Another example of transient operation is during fuel-switching operations, a particular issue for turbines operating with syngas fuels in a co-generation facility. In this case, the composition of the fuel stream may vary in time either as a result of fluctuations in the pipeline, or in the case of a co-generation plant, variations in feedstock or gasification processes. This fluctuation in fuel composition can have significant implications for combustion processes, particularly with high-hydrogen fuels. A small number of studies have investigated transient behavior in gas turbine combustors, particularly in the context of flame blow-off; here, investigators have typically focused on issues of transient amplitude, though without the depth and physics-based experimental design that is proposed in this program. To our knowledge, there have been no studies that have quantified the impact of the transient timescale on combustion. The work helped us understand the impact of several types of transients on combustion stability. Both static and dynamic combustion stability will be considered. The transients will be quantified using their amplitude, direction, and timescale, and we will consider transients in equivalence ratio, fuel composition, and fuel splitting. There were two main objectives of this work: 1. Provide a fundamental understanding of combustion stability during transient operation using data obtained from a number of high-speed diagnostic techniques on experimental configurations that capture important gas turbine combustor features and operating conditions. This goal was met in conjunction with our industrial partner, GE Global Research, with whom we worked closely throughout the program. 2. Develop a stability prediction framework that will allow for the prediction, and possible control, of instabilities as a function of the transient amplitude, direction, and timescale. This input/output model should be physics-based and allow for screening of operating conditions and prediction of unstable behavior at the end of a transient by monitoring combustor health and precursor signals during operation.

03 NATURAL GAS↗

Adapting Existing Energy Planning, Simulation, and Operational Models for Resilience Analysis

Resilience is a topic receiving much attention in relation to energy systems, with particular attention being paid to the supply of electricity. As a result, research communities have proposed a plethora of candidate indicators and metrics for resilience, most of which remain immature at different scales and segments within the energy system. Given the complexity of resilience analyses and mitigation strategies, there is limited value in attempting to identify a single resilience metric, as no one metric can quantify resilience or its associated value for all stakeholders. Instead, a necessary focus of the research community should lie in implementing, testing, and validating resilience metrics and analysis approaches in energy sector models, which will be invaluable for informing resilience planning and investment decisions. Recognizing that implementing, testing, and validating resilience metrics are challenges that need to be addressed, the National Renewable Energy Laboratory (NREL) dedicated staff and time to researching how to effectively integrate resilience considerations into energy sector models and tools, as part of the Laboratory Directed Research and Development (LDRD) program. The overarching goal of the effort was to evaluate the data needs, methodologies, and outcomes - including consequences and/or changes in investment or operational decisions due to avoided consequences - based on resilience analysis in a range of existing tools. In particular, we selected five models originally built at NREL to explore non-resilience energy research questions to implement and exercise resilience metrics and analysis approaches.

29 ENERGY PLANNING, POLICY, AND ECONOMY↗

2019 LDRD Annual Report

The Laboratory Directed Research and Development (LDRD) Program Annual Report for Savannah River National Laboratory for FY2019 focuses on the following project areas: legacy waste cleanup, nuclear materials threat reduction; nuclear deterrent, and secure energy & manufacturing.

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