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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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At least 829 records · Page 46

The Impacts of Freshwater Input and Surface Wind Velocity on the Strength and Extent of a Large High Latitude River Plume

Arctic Ocean physical and biogeochemical properties are strongly influenced by freshwater input from land and through the Bering Strait, where the mean currents transport water northward from the Bering Sea. The Yukon River is one of the largest rivers in North America and the Arctic, contributing large quantities of freshwater and terrigenous material to the coastal ocean in the northern Bering Sea. However, a detailed analysis of the coastal hydrodynamics at the outflow of the river has not been conducted in this remote but regionally important river. A three-dimensional hydrodynamic model was built to represent the lower Yukon River and coastal ocean for the ice-free months in 7 years. On average, a large anticyclonic eddy persisted at the main outflow of the Yukon that recirculates water back toward the coast where the currents converge to form a mean northward transport along the delta. Interannual spatial variance in salinity was relatively small, while there was substantial variance in u and v current velocity. u velocity spatial variance was correlated to the volume of freshwater discharge across years, while v velocity spatial variance was correlated to the N–S wind velocity. During strong wind events, plume structure was substantially altered: southerly winds deepened the plume and enhanced northward transport, while northerly winds shoaled and strengthened the pycnocline, and reversed the flow toward the south. The variability in plume dispersion on short time scales due to wind forcing has implications for where terrigenous material is processed in and settles out of the water column.

river plume↗

Achieving Actionable Results from Available Inputs: Metamodels Take Building Energy Simulations One Step Further

Modeling commercial building energy usage can be a difficult and time-consuming task. The increasing prevalence of optimization algorithms provides one path for reducing the time and difficulty. Many use cases remain, however, where information regarding whole-building energy usage is valuable, but the time and expertise required to run and post-process a large number of building energy simulations is intractable. A relatively underutilized option to accurately estimate building energy consumption in real time is to pre-compute large datasets of potential building energy models, and use the set of results to quickly and efficiently provide highly accurate data. This process is called metamodeling. In this paper, two case studies are presented demonstrating the successful applications of metamodeling using the open-source OpenStudio Analysis Framework. The first case study involves the U.S. Department of Energy's Asset Score Tool, specifically the Preview Asset Score Tool, which is designed to give nontechnical users a near-instantaneous estimated range of expected results based on building system-level inputs. The second case study involves estimating the potential demand response capabilities of retail buildings in Colorado. The metamodel developed in this second application not only allows for estimation of a single building's expected performance, but also can be combined with public data to estimate the aggregate DR potential across various geographic (county and state) scales. In both case studies, the unique advantages of pre-computation allow building energy models to take the place of topdown actuarial evaluations. This paper ends by exploring the benefits of using metamodels and then examines the cost-effectiveness of this approach.

32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATI↗

Multi-input and binary reproducible, high bandwidth floating point adder in a collective network

To add floating point numbers in a parallel computing system, a collective logic device receives the floating point numbers from computing nodes. The collective logic devices converts the floating point numbers to integer numbers. The collective logic device adds the integer numbers and generating a summation of the integer numbers. The collective logic device converts the summation to a floating point number. The collective logic device performs the receiving, the converting the floating point numbers, the adding, the generating and the converting the summation in one pass. One pass indicates that the computing nodes send inputs only once to the collective logic device and receive outputs only once from the collective logic device.

97 MATHEMATICS AND COMPUTING↗

Next Day Building Load Predictions based on Limited Input Features Using an On-Line Laterally Primed Adaptive Resonance Theory Artificial Neural Network.

Optimal integration of thermal energy storage within commercial building applications requires accurate load predictions. Several methods exist that provide an estimate of a buildings future needs. Methods include component-based models and data-driven algorithms. This work implemented a previously untested algorithm for this application that is called a Laterally Primed Adaptive Resonance Theory (LAPART) artificial neural network (ANN). The LAPART algorithm provided accurate results over a two month period where minimal historical data and a small amount of input types were available. These results are significant, because common practice has often overlooked the implementation of an ANN. ANN have often been perceived to be too complex and require large amounts of data to provide accurate results. The LAPART neural network was implemented in an on-line learning manner. On-line learning refers to the continuous updating of training data as time occurs. For this experiment, training began with a singe day and grew to two months of data. This approach provides a platform for immediate implementation that requires minimal time and effort. The results from the LAPART algorithm were compared with statistical regression and a component-based model. The comparison was based on the predictions linear relationship with the measured data, mean squared error, mean bias error, and cost savings achieved by the respective prediction techniques. The results show that the LAPART algorithm provided a reliable and cost effective means to predict the building load for the next day.

25 ENERGY STORAGE↗

Bus based timed input output module

Described herein are features related to a bus based timed input output module (TIO) for use in control systems of physical systems, particularly where the physical systems are safety critical systems. When the TIO is powered on, one or more operations are performed by the TIO, wherein the one or more operations, when performed by the TIO: 1) cause the TIO to be non-functional, thereby preventing the TIO from improperly or accidentally activating a Component in communication with the TIO; 2) clears the TIO of previous operations (if any); and 3) facilitates compatibility of the TIO with an arbitrary Component.

42 ENGINEERING↗

Economic Input-Output Life Cycle Assessment for Power Plant Construction

This work was presented at the International Symposium on Sustainable Systems and Transportation (ISSST) 2017 Conference in Chicago, IL on June 27, 2017. The presentation covers the building of the model, the NETL baseline reports as data sources for the construction model, and application of the model to fossil energy construction. It also presented a comparison of economic input-output models to process-based models, the potential for the economic models to fill data gaps in process-based construction models for construction and infrastructure, the increasing importance of construction to the life cycle of energy systems, and potential future applications of this modeling outside of fossil energy systems.

Skone, Timothy J.↗

Input-output processing on a remote integrated circuit chip

An electronic device includes a first integrated circuit chip including a processing functional block, and a second integrated circuit chip including an input-output (IO) functional block. The IO functional block performs one or more IO processing operations on behalf of the processing functional block in the first integrated circuit chip. The first integrated circuit chip lacks at least some elements of the IO functional block, so that the processing functional block is unable to perform corresponding IO operations without the IO functional block.

42 ENGINEERING↗

Power supply including a nonlinear transmission line that receives a single input pulse and outputs a plurality of pulses

Technologies pertaining to a power supply that includes a nonlinear transmission line are described herein. In an embodiment, a DC power supply comprises a pulsing circuit that receives a DC input and outputs a first plurality of pulses having a first frequency to a nonlinear transmission line. The nonlinear transmission line receives the first plurality of pulses and outputs a second plurality of pulses having a second frequency that is greater than the first frequency. The second plurality of pulses is then received at an amplifier/rectifier circuit that amplifies the second pulses to increase a voltage amplitude of the pulses, and rectifies the pulses to provide a substantially constant DC output.

42 ENGINEERING↗

Distributed multi-input multi-output control theoretic method to manage heterogeneous systems

A processing unit includes a plurality of subsystem control modules. Each subsystem control module includes a set of one or more inputs that receives a set of one or more external signals and a set of one or more monitored outputs from a hardware subsystem corresponding to the subsystem control module, and a set of configuration outputs for controlling one or more configuration settings of the hardware subsystem. The subsystem control module determines the one or more configuration settings based on the set of monitored outputs and on one or more targets derived from the set of external signals.

Pothukuchi, Raghavendra Pradyumna↗

Capturing the 'Representative Person' Using Exposure Equations and Input Variable Distributions - 18416

Radiological performance assessments (PAs) for radioactive waste employ the concept of future human receptors, or persons potentially exposed to radiation releases. The International Commission on Radiological Protection (ICRP) has defined the 'representative person' as a receptor, to replace the earlier concept of an 'average member of the critical group', for use in individual dose assessments and comparisons to regulatory criteria. A representative person can be assessed in PAs by defining a critical group, which is a relatively highly exposed subpopulation; and then estimating average exposures, doses, and risks for that group. Probabilistic PA models employ probability distributions to characterize uncertainty in exposure characteristics/variables at a scale aligned with contaminant transport and other aspects of the PA model. The concept of a representative person from a critical group, in the context of the first stage of an iterative approach and a probabilistic PA model, is illustrated using a receptor scenario and a set of exposure equations that incorporate probability distributions for input variables. Different scenarios may require different equations and distributions, but the approach taken is broadly generalizable. PA practitioners and regulators may benefit from such a generalizable method, as it may simplify approaches as well as facilitate reviews and comparisons between different PAs. (authors)

12 MANAGEMENT OF RADIOACTIVE AND NON-RADIOACTIVE W↗

Characterization of build parameters and microstructure in low heat input WAAM of Ni-based superalloy Haynes 282

Conference paper for 2024 10th International Conference on Advances in Materials, Manufacturing & Repair for Power Plants. Ni-based superalloy Haynes 282 is a prime candidate for advanced power generation systems due to its superior fabricability, weldability, and high-temperature performance. Additive manufacturing offers potential cost and time savings for gas turbine components. Wire-arc direct energy deposition can create large components but often requires post-processing treatments, such as hot isostatic pressing (HIP), to address porosity. This study explores a low heat-input, high deposition rate GMAW process to achieve fully dense Haynes 282 without HIP. Twenty-one blocks were deposited, varying travel and wire feed speeds. Initial analysis (visual inspection, microstructural examination, and CT) revealed the impact of build parameters on internal porosity and defects. Scanning electron microscopy provided insights into structural heterogeneity and microstructural properties. Related journal article can be found at https://doi.org/10.31399/asm.cp.am-epri-2024p0001.

Adam, Benjamin↗

GeoRePORT Input Spreadsheet

The Geothermal Resource Portfolio Optimization and Reporting Tool (GeoRePORT) was developed as a way to distill large amounts of geothermal project data into an objective, reportable data set that can be used to communicate with experts and non-experts. GeoRePORT summarizes (1) resource grade and certainty and (2) project readiness. This Excel file allows users to easily navigate through the resource grade attributes, using drop-down menus to pick grades and project readiness, and then easily print and share the summary with others. This spreadsheet is the first draft, for which we are soliciting expert feedback. The spreadsheet will be updated based on this feedback to increase usability of the tool. If you have any comments, please feel free to contact us.

15 GEOTHERMAL ENERGY↗

EGS Collab Testbed 1 Earth Model Input Files

The EGS Collab is conducting experiments in hydraulic fracturing at a depth of 1.5 km in the Sanford Underground Research Facility (SURF) on the 4850 Level. A total of eight ~60m-long subhorizontal boreholes were drilled at that depth on the western rib of the West Access Drift. Six of these holes are used for geophysical monitoring, one is used for hydraulic fracturing and the remaining hole was designed as a production borehole. In addition to these eight boreholes, 4 5-m Jack leg boreholes were drilled for housing geophones. This submission package includes various data type that were assembled to create Earth Models of the testbed. Note: The coordinate system used is local Homestake Mine Coordinate (HMC) system from an old gold mine that was in operation for over 100 years.

15 GEOTHERMAL ENERGY↗

Sentinel-1 Input Data for PSInSAR Analysis

Files used to perform the Persistent Scatterer InSAR analysis with SARPROZ. The data is sourced from ESAs Sentinel-1 project and covers Brady Hot Springs and Desert Peak geothermal areas. The original titles are included for the Sentinel-1 data. The naming guide is included as a link in this submission. The data contains SAR (Radar) data from the Sentinel 1A satellite between July 2017 and December 2019. The data is necessary to replicate our results, and can be used for further PSInSAR, DInSAR and other modern interferometric analyses to determine line of sight, vertical and, possibly, East-West horizontal displacement. These displacement analysis show the soil deformation in time (including average displacement velocity), which can be used to indicate subsoil phenomena: temperature changes, subsidence, uplift, and inform other analyses like seismicity and porosity.

15 GEOTHERMAL ENERGY↗