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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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Self-Evolving Digital Twin-Based Online Health Monitoring of Multiphase Boost Converters
Not provided.
An Isolated Bidirectional DC-DC Converter with High Voltage Conversion Ratio and Reduced Output Current Ripple.
Abstract not provided.
Masterri Automated Saphire File Intermediary Converter
The program is used to generate a files that are used with in SAPHIRE for contingency analysis and risk assessment.
Converting from NIS to Redhat Identity Management
The Jefferson Lab (Jlab) accelerator controls network has transitioned to a new authentication and network service interface. The new system uses the Redhat Identity Manager (IdM) as a single integrating front end to the Lightweight Directory Access Protocol (LDAP) and a replacement for NIS and the Kerberos authentication service. This system allows for integration of access and authentication across Unix and Windows environments and across different Jlab computing environments, including across firewalls. The decision making process, conversion steps, issues and solutions will be discussed.
Machine Learning for Improved Availability of the SNS Klystron High Voltage Converter Modulators
Beam availability has increased at the SNS, however, the targeted availability is greater than 95 %, while the SNS has failed to meet lower targets in the past. The HVCM used to power the linac klystrons have been one source of lost beam time and was chosen to explore using AI/ML techniques to improve reliability. Among the possibilities being explored are automating the tuning of HVCMs and predicting component failures such as capacitor aging, rectifier assemblies containing hundreds of diodes, and insulating oil degradation. The methodology pursued includes data cleaning, de-noising, post-analysis data labeling, and machine learning model development. We explore using Long Short-Term Memory and autoencoders for anomaly detection and prognostication used to schedule maintenance. We evaluate the use of model regularizers and constraints to improve the performance of the model and investigate methods to estimate the uncertainty of the models to provide a robust prediction with statistical interoperability. This paper describes the operational experience and known failures of the HVCMs and the proposed ML methodology and the preliminary results of training the AI/ML algorithms.
Simulation of Nanoscale High-Efficiency Thermionic Converters
LBNL provided development and feedback for Warp's mesh refinement solver and cutcell capabilities, authoring adjusted implementations for use with the dielectric solver in 3D. This work has been documented in a separate branch of the RadiaSoft Warp fork, and is currently under review. LBNL has also provided feedback on the new tests developed to study dielectric charging and shaped emitters. The LBNL contributions enabled the Radiasoft team to progress steadily and meet the goal of the projects for the duration of the collaboration. Results have been reported in one refereed paper, three proceeding papers, four oral and six poster presentions.
A Process for Converting Corn Bran to Furfural without Mineral Acids
Furfural is a bio-derived industrial chemical that has been identified as a platform chemical for the production of renewable fuels and chemicals. Currently, domestic feedstock and processing costs are high, so United States-based furfural production is not competative on the global market. Furthermore, furfural production costs must be much less than the current market price if it is to be competative platform for bio fuels and chemicals. An alternative low-cost feedstock for furfural is corn bran from a corn ethanol process. We have proposed a new process for producing furfural from corn bran that consumes no mineral acids. The high hemicellulose content of corn bran reduces capital and operating costs. Eliminating mineral acids reduces chemical consumption and makes the residual solids suitable for consumption as animal feed. The combination of a low cost source of hemicellulose and high valued residue could make the proposed process more economical than current processes based on corncobs.
An Autonomous Microgrid with Eight Grid forming Power Electronic Converters
This student project has demonstrated the operation of an autonomous microgrid that is built up with eight grid-forming solar inverters. Experimental results from the microgrid under different operational scenarios are presented.
Co-Optimization of Boost Converter Reliability and Volumetric Power Density Using Genetic Algorithm.
Abstract not provided.