Technical Resilience Navigator
The Technical Resilience Navigator (TRN) is a systematic approach to identifying vulnerabilities with energy and water systems, and prioritizing solutions that reduce risk. The ultimate outcome of the TRN is a set of actionable resilience solutions that address the site's most important gaps in resilience and enhance the ability to maintain mission continuity. The TRN is designed to step users through this planning process, providing a framework to: assign roles and responsibilities; collect and document information and data; document key inputs and outputs for each of the TRN modules (Site Level Planning, Baseline Development, Risk Assessment, Solution Development, and Solution Prioritization); document prioritized list of resilience solutions; and track progress through the entire process.
SYSTEMS AND METHODS OF LONG-DURATION ENERGY STORAGE AND REGENERATION OF ENERGY-BEARING REDOX PAIRS
Described herein are systems and methods of storing and delivering electrical using hydrogen at low-cost and for long-durations. The systems and methods use energy-bearing redox pairs that electrochemically bear energy through decoupled hydrogen and oxygen consumption and/or evolution reactions, which are typically associated with fuel cells. Each species of the energy-bearing redox pair is associated with a standard electrode potential within a water electrolysis voltage window for the electrolyte solution. Electrical energy delivery, hydrogen generation, electrolyte regeneration, or combinations thereof can be performed by logically or physically separated unit operations in a continuous manner, batch manner, or semi-batch manner facilitated by the energy-bearing redox pair.
SYSTEM AND METHOD OF STORING AND ANALYZING INFORMATION
SGEM is a scalable semantic graph databse. The software platform comprises three major components: 1) a SPARQL to C compiler, 2) a mulithreaded graph library (SGLib), and 3) a custom mulithreaded runtime layer (GMT). The compiler converts SPARQL queries to data parallel C code with calls to SGLib and GMT methods. SGLib is a llibrary of graph methods and data structures. It includes methods to ingest RDF triple files, store data in a compressed neighbor graph, and multithreaded graph algorithms customized for query processing and GMT. GMT is a mulithreaded runtime system for comoodity servers, clusters, and cloud systems customized for query processing. GMT manages a global address space, tread scheduling, and data aggregation.
SYSTEM AND METHOD OF STORING AND ANALYZING INFORMATION
SGEM is a scalable semantic graph databse. The software platform comprises three major components: 1) a SPARQL to C compiler, 2) a mulithreaded graph library (SGLib), and 3) a custom mulithreaded runtime layer (GMT). The compiler converts SPARQL queries to data parallel C code with calls to SGLib and GMT methods. SGLib is a llibrary of graph methods and data structures. It includes methods to ingest RDF triple files, store data in a compressed neighbor graph, and multithreaded graph algorithms customized for query processing and GMT. GMT is a mulithreaded runtime system for comoodity servers, clusters, and cloud systems customized for query processing. GMT manages a global address space, tread scheduling, and data aggregation.
EXTRUSION PROCESSES, FEEDSTOCK MATERIALS, CONDUCTIVE MATERIALS AND/OR ASSEMBLIES (iEdison No. 0685901-13-0018)
This document describes the composition and method for manufacturing aluminum/carbon composites with ultra-high conductivity. Solid phase processing techniques such as shear assisted processing and extrusion, direct extrusion, hot forging, and pultrusion can be used to make the aluminum/carbon composites. Carbon used to make the ultra-high conductivity materials is in the form of allotropes such as graphite, graphene, buckyballs, carbon nanotubes as well as quantum dots. The composites can contain carbon in the range of 0 - 1 wt.% and demonstrate electrical conductivity and ampacity (current density) greater than that of aluminum at 20 - 500 degrees C. They also demonstrate temperature coefficient of resistance lower than that of pure aluminum.
GridPACK
This is a follow-on disclosure to 30437. GridPACK is a software framework consisting of a set of modules designed to simplify the development of programs that model the power grid and run on parallel, high performance computing platforms. It also contains several fully developed applications, including powerflow, dynamic simulation, state estimation, Kalman filter analysis (dynamic state estimation), contingency analysis and real time path rating. These applications can be used either standalone or as components in more complicated workflows that combine several different types of application together. The framework modules are available as a combination of libraries and software templates and consist of components for setting up and distributing power grid networks, support for modeling the behavior of individual buses and branches in the network, converting the network models to the corresponding algebraic equations, and parallel routines for manipulating and solving large algebraic systems. The framework also contains a module for distributing tasks evenly amongst computing resources, even if individual tasks vary widely in their execution times. Additional modules support input and output, basic statistical analysis of contingency based calculations, distributed data structures, as well as basic profiling and error management.
cuVite
Identifying densely connected components in a graph (network) is known as the graph clustering or community detection problem. Modularity is a metric that measures the quality of partitioning, and algorithms that optimize modularity have been demonstrated to not only generate high quality solutions but also to converge quickly. Louvain is popular serial algorithm based on the concept of modularity optimization. We developed different heuristics to parallelize the Louvain algorithm and developed implementations targeting multi-GPU systems. The key features of our multi-GPU implementation are: a modified data structure to enable efficient computations on GPU systems, efficient sharing of work between CPUs and GPUs, and the use of cooperative groups for efficient execution on the GPUs.
StreamWorks (Open Source)
The software is a network analysis framework, whereby a user may detect and identify precursor events and patterns as they emerge in complex networks. Scalable subgraph matching algorithms will allow users to identify precursor events based on both structural and semantic subgraph properties and enable efficient subgraph pattern matching in massive and evolving networks. The analysis framework is intended to be used in a dynamic environment where network data is streamed in and is represented as a large-scale evolving dynamic graph. The framework may be applied to identify emerging graph patterns that are known to users in advance or ones that spontaneously emerge that are deemed 'significant" or 'interesting" and then alerted to users as significant events.
FRICTION STIR WELDING (FSW) APPARATUS AND TECHNIQUES (iEdison No. 0685901-23-0119)
A method to fabricate nuclear fuel plate assembly in annular Al pipes using Friction stir welding is described. Tool design and welding parameters resulting in defect-free solid-state bonding of Al tube to Al fuel plate having a pull strength higher than 100 Lbf is claimed. Due to reduced heat input, the thermal distortion of the Al tube is significantly lower than what can be obtained using fusion welding methods. Welds can be performed in circular and/or spiral weld paths around the tube. The combination of tool geometry, and welding parameters results in high-quality joints with minimal pipe distortion. This approach can be applied to the assembly of many research reactors.
MANUFACTURING AND RECYCLING OF PLASTICS VIA SHEAR ASSISTED PROCESSING (iEdison No. 0685901-21-0038.)
This invention discloses a shear assisted processing (SAP) method for producing plastics rods and discs from pellets or waste. During a single-step manufacturing process, shear deformation is introduced to heat and soften the precursor so it can be deformed, mixed, consolidated, and then extruded as solid wire. Toolings, processing procedures and parameters were developed for processing different types of plastics. 2.5mm diameter wires were recycled from polypropylene (PP), polyethylene (PE), a mixture of PP and PE, carbon fiber reinforced plastic (CFRP) and post-consumer plastic bags, respectively. DSC shows that the wires made from mixed plastics have good homogeneity. Tensile test results proved the recycled plastics had retained up to 90% strength of raw materials.