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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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DECOVALEX23: Task C, Step 0 SNL Updated Thermal Hydrologic Modeling of Full-Scale Heater Experiment.
Abstract not provided.
A Task Analysis of Static Binary Reverse Engineering for Security.
Abstract not provided.
Uncertainty Quantification for the Image Segmentation Task [Slides]
This report provides information about image segmentation, including challenges, experiment results and future efforts.
Redefining Resource Adequacy for Modern Power Systems: A Report of the Redefining Resource Adequacy Task Force
Today's rapidly increasing levels of wind, solar, storage, and load flexibility require the industry to rethink reliability planning and resource adequacy methods for modern power systems. Periods with a risk of shortfall often no longer coincide with peak demand - reliability risks are less about peak load and more about the daily setting of the sun, extended cloud cover, wind speeds, cold snaps, and heat waves. In addition, demand is increasingly flexible. Key resources are time-sensitive, as batteries need time to recharge and electricity customers can only be asked to provide demand response for just so long. And reliability failures are often correlated - with one another and with the weather. Two driving factors require the industry to reconsider its analytical approach for resource adequacy: (1) Chronological grid operations: The increasing importance of variable renewable resources (such as wind and solar) and of energy-limited resources (storage and demand response) make it essential to understand the full year of chronological operation of the grid. Specific attention must be paid to hourly, seasonal, and inter-annual resource variability. The sequence of the variability is key, as energy-limited resources such as batteries or demand response require either a preceding period or subsequent period of high production to be useful for grid reliability. (2) Correlated events: Historically, resource adequacy analysis focused on shortfalls caused by random, discrete mechanical failures of large generating units. In contrast, shortfalls today are often caused by multiple, correlated events caused by common weather patterns. Resource adequacy analysis must increasingly shift its focus to these correlated events. The redesign of resource adequacy methods will benefit from a set of guiding principles to better allow for sharing of insights and best practices, interregional resource coordination, and a smoother regulatory process for resource procurement. The objective of this report is to move this redesign forward. It provides an overview of key drivers changing the way resource adequacy needs to be evaluated, identifies shortcomings of conventional approaches, and outlines first principles for practitioners to consider as they adapt their approaches. The central message is: what got us here won't get us there.
Computer Vision: EO Imaging & Video Tasks, Metrics, and Datasets [Slides]
Classification is an assignment of an image to a certain category. Localization is identified by the box surrounding the object in the image. Object detection detects instances of semantic objects of a certain class. Semantic segmentation categorizes all the pixels of an image into classes of objects. Instance segmentation identifies each instance of each object in the image. Panoptic (i.e., showing or seeing everything at once) segmentation is a combination of semantic and instance segmentation and classifies all the pixels in the image.
Computing Performance Task: Summary, Status, and Future Updates
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Project: Glideinwms Task: installing and testing DE 2.0 on REHL8 Glideinwms Unit tests python3.9
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DLR Calculation Engine Interoperability Profile: A Project for the TOGETs Task Force
This document contains a detailed interoperability profile outlining how the components of the CIM can be used to implement DLR in support of the two use cases identified in the Use Case Document. An interoperability profile is defined by the Smart Electric Power Alliance (SEPA) as a document that “specifies standards-based requirements for interfaces or applications that are accepted by the user-community, testing authorities, and other stakeholders. It specifies configuration options within a standard’s requirements sufficient to deliver the desired level of interoperability and functionality.” To that end, this document is not in itself a standard, nor has it been approved by any formal body. Rather, it is an example of how to implement the CIM standard and has been reviewed by industry, including transmission operators and DLR vendors.
DECOVALEX23: Task C, Step 1, SNL, Preliminary Thermal Hydrologic Modeling of Full-Scale Heater Experiment.
Abstract not provided.
DECOVALEX 2023 TASK B - MAGIC: How to move fluids through deformable low-permeability media.
Abstract not provided.
DECOVALEX 2023 TASK G: Step2 and Step 3 - Benchmark Exercises: G2-HM-BE-2D and G3-TM-BE-2DSNL Modeling Progress.
Abstract not provided.
DECOVALEX23: Task C, Step 1SNL Preliminary Thermal Hydrologic Modeling of Full-Scale Heater Experiment (b).
Abstract not provided.
Evaluating On-Demand Parallel File System Impacts on Compute-Bound Tasks .
Abstract not provided.
DECOVALEX23: Task C, Step 1 SNL Calibration Thermal-Hydrologic Simulations.
Abstract not provided.
Applications of Autonomous Sensor Task Planner for Intelligence, Surveillance and Reconnaissance.
Abstract not provided.