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Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.

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All sourcesNASA NTRSDOE OSTI
DOE OSTI2018

Updated General Separations Areas (GSA) Groundwater Model Calibration Targets

The work described in this report is part of an effort to update the General Separations Area (GSA) regional groundwater flow calibration targets to incorporate additional well data, emphasizing Z-Area, and consideration of Mixed Waste Management Facility groundwater plume monitoring data. This work utilizes a modified version of the Excel-based Well Hydrograph Analysis Tool (WHAT), previously detailed by Hiergesell and coworkers (2015a and 2015b), to evaluate the water level measurements obtained from the Environmental Restoration Data Management System (ERDMS) database. The original version of WHAT did not correctly compute median well water level, and occasionally the minimum and maximum values.

12 MANAGEMENT OF RADIOACTIVE AND NON-RADIOACTIVE W↗
DOE OSTI2018

Excluding Benchmark Statistical Outliers in Nuclear Criticality Safety Validation: A Comparison Study of Upper Subcritical Limits for Plutonium Systems using Whisper-1.1

Neutron transport methods used to establish subcriticality require validation by comparison to critical experiments considered to be benchmarks. Whisper is a sensitivity/uncertainty analysis tool developed to assist with the task of validation in nuclear criticality safety. Details on the Whisper methodology can be found in References 1-3 on the MCNP® reference collection website at https://mcnp.lanl.gov. During the process of validation there can be cases where a benchmark experiment may be found to be a statistical outlier, in which the calculated k-effective value and the experiment k-effective value differ by an amount atypical for similar experiments. A methodology optionally employed by Whisper is the exclusion of statistical outliers based upon the iterative diagonal chi-squared statistical rejection technique. Alternatively, there is an option to include all benchmarks in the Whisper library collection, even those benchmarks found to be statistical outliers, when computing the bias, bias uncertainty and margin of subcriticality (MOS) leading to establishment of the baseline upper subcritical limit (USL). A comparison study has been done to compute USLs with and without statistical outliers in the Whisper benchmark collection to determine what effect rejection of statistical outliers has on the recommended USL. The results show little overall difference in the recommended baseline USLs developed by Whisper when excluding statistical outliers. Additionally, there does not appear to be a clear trend in predicting whether the baseline USL will be higher or lower when rejecting statistical outliers from the benchmark critical experiment collection used for validation.

98 NUCLEAR DISARMAMENT, SAFEGUARDS, AND PHYSICAL P↗
DOE OSTI2018

Study of Gamma-ray Production from Neutron-induced Activity on Spacecraft for DIORAMA

The Distributed Infrastructure Offering Real{Time Access to Modeling and Analysis (DIORAMA) software provides performance modeling capabilities of the United States Nuclear Detonation Detection System (USNDS) with a focus on the characterization of Space{Based Nuclear Detonation Detection (SNDD) instrument performance [1]. A study was conducted investigating the neutron activation on spacecraft caused by cosmic{ray and trapped proton{induced spallation, and by direct irradiation from hypothetical nuclear detonations as a background component to be incorporated into DIORAMA. The neutron activation background study amasses a database of pre-calculated Monte Carlo data that reflects the delayed gamma-ray production from activated nuclei as a function of incident cosmic or neutron flux, incident energy, material volume, etc. CINDER2008 coupled with MCNPX and the Activation Analysis Tools in the Activation in Accelerator Radiation Environments (AARE) distribution along with a suite of Python scripts are used to calculate and assemble the Monte Carlo database [2{6]. The neutron activation background study improves the fidelity of DIORAMA by providing the neutron-induced activation component to the background of the instruments on-board the spacecraft, and has implications for future instrument design studies.

46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND ↗
DOE OSTI2018

Validation Study of the Spacecraft Background Activation using RHESSI Data

This document serves as a brief writeup of the work done to validate CINDER2008 and the Activation Analysis Tools in the Activation in Accelerator Radiation Environments (AARE) distribution that are used to calculate the activation of spacecraft material while in orbit [1{3]. The validation study involves replicating the decay gamma spectrum as observed onboard the RHESSI spacecraft in the high-purity germanium (HPGe) detectors after crossing the South Atlantic Anomaly (SAA) [4]. The tools involved are a suite of Python scripts, the transmutation code CINDER2008 accompanied with a suite of scripts distributed with AARE,MCNPX, and MCNP6.2 [2,5{7]. Figure 1 shows the gamma ray spectrum this study replicates as the spectrum designated \Difference".

42 ENGINEERING↗
DOE OSTI2016

Risk Assessment in Event Evaluation P-302

Incidents at locations such as nuclear power plants, waste repositories, and medical treatment facilities occur at many different times and under a variety of situations. Even the most modern, well run organizations may experience events that are precursors to more serious situations. Currently, the U.S. Nuclear Regulatory Commission evaluates a variety of such events at commercial nuclear plants via the Significance Determination Process (SDP), Management Directive 8.3, and the Accident Sequence Precursor (ASP) program. In these programs, the analyst calculates a conditional risk measure (e.g., conditional core damage probability) for an initiating event situation or an unplanned equipment outage. This calculation is called an “event evaluation.” An “event evaluation” uses a probabilistic risk assessment model to obtain a risk measure that is conditional on the situation which existed during an incident. The Risk Assessment in Event Evaluation material is intended to address how this evaluation is performed using modern risk analysis tools.

98 NUCLEAR DISARMAMENT, SAFEGUARDS, AND PHYSICAL P↗
DOE OSTI2017

Fusion Energy Sciences FY 2017 Joint Research Target (JRT) Summary Milestone Report

In support of the 2017 JRT, the DIII-D, NSTX-U and C-Mod teams performed coordinated research, focused on the subjects of dissipative divertor physics and divertor heat flux footprints. As evident in this report, good progress was made on many fronts toward assembling informed pictures of the plasma physics. The teams chose research topics that would best utilize the unique capabilities of DIII-D, NSTX and C-Mod – access to interesting divertor magnetic configurations and geometries, excellent diagnostic sets and extended parameter regimes. The research took advantage of dedicated experimental investigations on DIII-D and archived data analyses from NSTX and C-Mod – all targeted to address keys questions for tokamak power exhaust handling. DIII-D dedicated significant run time to support the 2017 JRT. This included coordinated experiments to investigate an NSTX-like, high flux expansion divertor configuration to compare its detachment response to that seen in NSTX. DIII-D implemented divertor diagnostic upgrades as well and operated with a ‘small angle slot’ divertor to investigate this ‘closed’ divertor configuration. Follow-on experiments are planned to utilize these tools. Analysis of archived data from NSTX and C-Mod was designed to exploit the wealth of information that had been collected during prior experimental campaigns. These investigations included the influence of high poloidal flux expansion on detachment onset (NSTX), magnetic flux balance dependencies of the power exhaust footprints (NSTX and C-Mod), power exhaust channel widths at poloidal magnetic fields greater than 1 Tesla, in the I-mode confinement regime and in response to divertor nitrogen seeding (C-Mod).

70 PLASMA PHYSICS AND FUSION TECHNOLOGY↗
DOE OSTI2018

Interatomic Potentials Models for Cu-Ni and Cu-Zr Alloys

This study explores a Bayesian calibration framework for the RAMPAGE alloy potential model for Cu-Ni and Cu-Zr systems, respectively. In RAMPAGE potentials, it is proposed that once calibrated potentials for individual elements are available, the inter-species interactions can be described by fitting a Morse potential for pair interactions with three parameters, while densities for the embedding function can be scaled by two parameters from the elemental densities. Global sensitivity analysis tools were employed to understand the impact each parameter has on the MD simulation results. A transitional Markov Chain Monte Carlo algorithm was used to generate samples from the multimodal posterior distribution consistent with the discrepancy between MD simulation results and DFT data. For the Cu-Ni system the posterior predictive tests indicate that the fitted interatomic potential model agrees well with the DFT data, justifying the basic RAMPAGE assumptions. For the Cu-Zr system, where the phase diagram suggests more complicated atomic interactions than in the case of Cu-Ni, the RAMPAGE potential captured only a subset of the DFT data. The resulting posterior distribution for the 5 model parameters exhibited several modes, with each mode corresponding to specific simulation data and a suboptimal agreement with the DFT results.

73 NUCLEAR PHYSICS AND RADIATION PHYSICS↗
DOE OSTI2018

Molten Salt Reactor Campaign Modeling and Simulation Program Plan

The modeling and simulation activities within the Molten Salt Reactor Research and Development Campaign of the US Department of Energy Office of Nuclear Energy Advanced Reactor Technologies Program facilitate the development and application of analysis tools for the licensing and design of molten salt reactors.

22 GENERAL STUDIES OF NUCLEAR REACTORS↗
DOE OSTI2018

Complexity and Simplicity: Putting Complexity Science in Perspective

As technical systems and social problems in modern society become ever more complex, many organizations are turning to what is commonly termed complexity science to find solutions. The problem many organizations face is that they frequently have no clear idea what they are trying to accomplish, no in-depth understanding of the nature, size and dimension of their problem, and only a limited understanding of what theoretical approaches and off-the-shelf analysis tools exist or are applicable to their particular problem. This paper examines the larger topic of complexity science, providing insight, and helping to place its promises in perspective.

99 GENERAL AND MISCELLANEOUS↗
DOE OSTI2015

System Advisor Model (SAM) Enhancements for CSP

Previous work led by NREL has produced a suite of hourly CSP performance and annual financial models that are currently implemented in SAM. These analysis tools are used within the DOE national laboratory system and worldwide by researchers, industry members, academics, and policymakers to determine the potential performance and financial impact of renewable energy technologies. SAM includes models for the following CSP solar-field technologies: parabolic troughs, both molten-salt and direct-steam central receivers, dish/Stirling, and direct-steam linear Fresnel systems. SAM also includes a generic solar system model that represents the solar field using a set of optical efficiency values for different sun angles and can be used for any solar technology that uses solar energy to generate steam for electric power generation. Each technology model requires information about the receiver and collector, power block, thermal storage, and operating conditions to predict component and overall system performance. The CSP models also include an optional auxiliary fossil backup system, as appropriate. This project aims to maintain SAM’s unique ability to efficiently model pertinent CSP technologies by improving the functionality of SAM and improving current or creating new technology models.

14 SOLAR ENERGY↗
DOE OSTI2017

NETL Carbon Capture Retrofit Analyses

This presentation discusses carbon capture retrofit analyses for existing coal and natural gas power plants, and industrial facilities. Also discussed is development of an analysis tool that would quantify the cost and performance impacts of CCS retrofits.

01 COAL, LIGNITE, AND PEAT↗
DOE OSTI2019

Radiation Signatures of Potential Nuclear Threats

This report gives a brief overview of the DOE Triage and JTOT programs, gamma and neutron signatures in select measurements, software demos of FRAM and PeakEasy, and discussions of GADRAS as an analysis tool.

73 NUCLEAR PHYSICS AND RADIATION PHYSICS↗
DOE OSTI2019

Certification and Rating of Attachments for Fenestration Technologies

In the U.S., windows still represent a significant energy savings opportunity in residential and commercial buildings, and for decades the United States Department of Energy (DOE) has funded fenestration software tools, analysis, studies, and the National Fenestration Rating Council (NFRC). Despite significant developments in window technology and recognition of efficient products, studies conducted by the U.S. Energy Information Administration and Pacific Northwest National Laboratory (PNNL) found that approximately 64% of U.S. homes currently have inefficient windows. Window attachments (interior and exterior blinds, shades, storm windows, awnings, shutters, etc.) can offer a more cost-effective option to improve the energy performance of residential and commercial windows. In previous years, the window attachment industry attempted to work with the NFRC to generate a window attachment rating program, but was unable to access funding or technical resources necessary to address window attachments, which added many levels of complexity on top of NFRC’s scope of windows and glazing. Starting in 2014, the DOE Office of Energy Efficiency and Renewable Energy (EERE) funded the Window Coverings Manufacturing Association (WCMA) to develop the Attachments Energy Rating Council (AERC) along with policies and procedures to deliver an unbiased, credible, comparable, relevant, and cost-effective window attachment energy rating program for the residential and commercial sectors over a four-year period. This project was created because there were no consistent and credible performance rating mechanisms for assessing the energy performance of window attachments. Without a standardized approach, consumers found it difficult to make informed and comparative decisions about the energy performance of window attachments, and utilities faced challenges offering incentives for energy-efficient attachments. The goal of this project was two-fold: to develop procedures to rate and certify the energy performance of window attachments and to create an educational, consumer-facing Certified Products Website (CPW) to help consumers and other stakeholders make more informed window attachments purchasing decisions.

32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATI↗
DOE OSTI2019

Bison Robustness and Performance Improvements

In last year’s Bison robustness report, the authors demonstrated that improving the Jacobian matrix can drastically increase solution convergence rates. The development of an automatic differentiation (AD) capability in the MOOSE framework has created the possibility of having exact Jacobian matrices for all of our material models. A large focus in this year’s report is the application of AD to MOOSE physics modules, such as the tensor mechanics module, and the application to Bison fuel and cladding material models. A second main focus in this year’s report is the investigation of a set of algorithmic solver changes to improve the robustness and performance of Bison LWR simulations. Beyond providing increased solver robustness, the ability to solve strongly coupled multiphysics problems, and solving large deformation problems with ease, these automatically generated perfect Jacobians also drastically reduce development time for new models. In models converted to AD, Jacobian computation made up the majority of the code base. With this code removed, both readability and maintainability of the MOOSE/Bison code base are improved. The work documented here significantly improved the robustness of the Bison LWR assessment case suite. Through algorithmic changes in solver infrastructure, such as the application of predictors and improvements in timestepping, tangible improvements in performance were observed. These improvements are documented using a new standard set of metrics that are collected in all assessment cases, and a suite of statistical analysis tools developed for this report.

11 NUCLEAR FUEL CYCLE AND FUEL MATERIALS↗
DOE OSTI2019

Development of Ambient Mass Spectrometry Rapid Analysis Methods for Trace Inorganics

Ambient mass spectrometry is being investigated as a new method for rapidly characterizing trace inorganic species, including nuclear materials. SRNL is currently developing electrospray ionization (ESI) and paper spray ionization (PSI) methods for mass spectrometry for the detection of trace inorganic compounds JEOL AccuTOF™-DART ® LP 4G mass spectrometer. Sample analysis generates a complex three-dimensional data set with 10 2 -10 3 individual mass spectra spread temporally. To improve the quality and ease of data extraction from this amount of information, a simple data analysis pipeline written in R/R Studio has been improved and expanded upon. Specifically, the software now has header inputs to set base input/output filenames, isotopes of interest, and a list of concentrations analyzed on the instrument. Using list-based structures to enable batch processing of many concentrations at once, it then loads each file, extracts the relevant intensities for masses of interest from each spectrum, and iterates through each concentration to generate graphs of internal standard & analyte correlations, measured isotope ratios, and total ion chromatograms. It then filters the data to remove points at background levels or at the detector saturation limit. Using this filtered data, the pipeline re-creates the graphs to reveal high-quality information from a low-quality raw dataset. All graphs of the R software then output to PowerPoint format. Additionally, faster 3D visualization functionality was added to the pipeline for viewing the entire data file produced by the instrument as an intensity map. With these data analysis tools ready, samples of strontium nitrate/yttrium nitrate as an analyte/internal standard combination were measured on the AccuTOF. From the filtered data, calibration curves were prepared and limits of detection (LOD) of 1 ppb for ESI-MS and 20 ppb for PSI-MS were obtained. The quality available from the calibration curves and the low limits of detection demonstrate the value of the instrument/analysis pipeline system in characterizing trace inorganics.

47 OTHER INSTRUMENTATION↗
DOE OSTI2019

Synthesis of Year Two Outcomes in the Smart Energy Analytics Campaign

Buildings are full of hidden energy savings potential that can be uncovered with the right analysis. With sophisticated software to inform and assist in building operations, building owners now are reducing energy and improving operations using building data analytics. The cornerstone of successful building data analytics is the ability to extract accurate and actionable insights from large amounts of data. Modern building automation systems (BAS) monitor hundreds of points per building, and an owner may have a portfolio generating many thousands of data points. The BAS can provide alarms for points out of range, but the analytical capabilities fall well short of helping achieve an optimized system. Further, common analysis tools for energy meter data tend to manage the monthly bills but do not support hourly interval data. Energy management and information systems (EMIS) are software that provide the needed analytical horsepower to building owners as they work to find meaning from data. This section highlights the benefits and challenges in using EMIS for continuous energy management.

32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATI↗
DOE OSTI2019

Quarterly Progress Report Q3 FY2019 Apr-Jun 2019

Our main activity this quarter was focused on carrying out the data analysis following the experimental campaign conducted at the Irradiated Fuel Examination Laboratory (IFEL) at ORNL. More specifically, we focused on the demonstration of hard X-rays two reflections, as well as the quantification of the background reduction and signal-to-noise-ratio (SNR) under different experimental conditions. Significant time and effort was spent developing data analysis tools using the Root software toolkit, and carefully checking data consistency across data sets and with simulations. Some results are presented below.

73 NUCLEAR PHYSICS AND RADIATION PHYSICS↗

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