Technology for Energy Corporation (United States)

This paper investigates the application of deep learning techniques, Random Forest and Neural Network, for classifying transformer faults based on Dissolved Gas Analysis (DGA). A real-world data set has been used, with fault labels assigned according to the IEC 61198:1993 standard, including fault classes. In order to ensure statistical reliability, each model has been evaluated over ten runs, and performance metrics have been averaged. The Random Forest model has achieved a mean accuracy of 80.87% (±9.87%), outperforming the Neural Network, which has reached a mean accuracy of 68.70% (±12.51%). Confusion matrices and class-wise metrics have showed that Random Forest has classified the majority of Normal and T3 cases correctly, while Neural Network had higher misclassification rates, especially between Normal and D1. Overall, Random Forest has exhibited greater robustness and interpretability, making it a more suitable choice for practical fault diagnostics in power transformers.

Creacionde l segundo experimento

Typically, the source voltages of a single photovoltaic module with energy storage battery system are low, in which converters with high step-up gain are required. This study proposes a non-isolated three-port converter with compact size that utilizes three-winding coupled inductor and switched capacitor techniques to achieve high voltage gain with lower voltage stresses of power switches for photovoltaic module with energy storage system. The voltage gain from photovoltaic to output is improved by cascoding the switched capacitor voltage with photovoltaic voltage. For increasing the voltage gain from battery to output, the coupled inductor technique is adopted. The proposed three-port converter can be operated in five power converting stages among three ports, and regulate the power transferring independently. The operational principles, steady-state analyses, and key parameters design of the proposed topology are presented in detail in this paper. Finally, the laboratory prototype is built to verify the theoretical analyses, with photovoltaic voltage of 24V, battery voltage of 48V, and load voltage of 200V. The maximum efficiency among the five operational stages in this article is 98.1%.

These files provide MATLAB code associated to the article "Evolutionary Dynamics on Any Population Structure" (Allen et al. 2017), which is available at http://dx.doi.org/10.1038/nature21723 . Code is provided to compute the critical benefit-cost threshold on any weighted graph (for death-birth updating), along with coalescence times and remeeting times.

Industrial BiotechnologyVol. 7, No. 5 COMMENTARYTennessee case study in full-scale development and integration of switchgrass feedstocks with biorefinery operations: Genera Energy and UT Biofuels InitiativeKelly TillerKelly TillerSearch for more papers by this authorPublished Online:24 Oct 2011https://doi.org/10.1089/ind.2011.7.357AboutSectionsPDF/EPUB Permissions & CitationsPermissionsDownload CitationsTrack CitationsAdd to favorites Back To Publication ShareShare onFacebookTwitterLinked InRedditEmail FiguresReferencesRelatedDetailsCited byHigh-Resolution Multiobjective Optimization of Sustainable Supply Chains for a Large-Scale Lignocellulosic Biofuel Industry4 March 2021Effect of land use change for bioenergy production on feedstock cost and water qualityApplied Energy, Vol. 210Multi‐attribute uncertainty analysis of the life cycle of lignocellulosic feedstock for biofuel production13 December 2016 | Biofuels, Bioproducts and Biorefining, Vol. 11, No. 2Normalization in sustainability assessment: Methods and implicationsEcological Economics, Vol. 130Assessing multimetric aspects of sustainability: Application to a bioenergy crop production system in East Tennessee26 February 2016 | Ecosphere, Vol. 7, No. 2Economic analysis of alternative logistics systems for Tennessee-produced switchgrass to penetrate energy marketsBiomass and Bioenergy, Vol. 85Assessing Sustainable Bioenergy Feedstock Production Potential by Integrated Geospatial Analysis of Land Use and Land Quality3 May 2015 | BioEnergy Research, Vol. 8, No. 4Sustainable Production of Bioenergy Feedstock from the Industrial Forest: Potential and Challenges of Operational Scale Implementation1 December 2015 | Current Sustainable/Renewable Energy Reports, Vol. 2, No. 4Multifunctional landscapes: Site characterization and field-scale design to incorporate biomass production into an agricultural systemBiomass and Bioenergy, Vol. 80Conversion of switchgrass to ethanol using dilute ammonium hydroxide pretreatment: influence of ecotype and harvest maturityEnvironmental Technology, Vol. 34, No. 13-14 Volume 7Issue 5Oct 2011 InformationCopyright 2011, Mary Ann Liebert, Inc.To cite this article:Kelly Tiller.Tennessee case study in full-scale development and integration of switchgrass feedstocks with biorefinery operations: Genera Energy and UT Biofuels Initiative.Industrial Biotechnology.Oct 2011.357-364.http://doi.org/10.1089/ind.2011.7.357Published in Volume: 7 Issue 5: October 24, 2011PDF download

SEC provides radiological control services for the D&D of the K-25 Gaseous Diffusion Plant in Oak Ridge TN. The demolition of the structure of the building has been initiated. Building debris will be disposed in a waste management facility on the Oak Ridge Reservation. This will require an estimated 70,000 truck shipments and each truck shipment must be inspected for radiological contamination. The inspection process includes measurements with hand held survey instruments and preparation of a “clearance ticket.” We developed a system for automatically generating the clearance ticket in order to reduce costs. The system automates data collection and report preparation by using a programmable handheld data terminal (HDT) that acquires the instrument readings and prints a preformatted clearance ticket. We estimate that the number of labor hours required to perform these truck inspections will be reduced by 33% compared to previous methods. The key to success for this project was developing a simple software interface that provides a graphic diagram of the truck and the survey points, provides step-by-step directions and status during the inspection, and enters data onto a preformatted report that can be printed directly from the HDT. Symbols differentiate the contact and smear measurements. The inspector simply positions the instrument probe and presses a button on the HDT to acquire data. The HDT software evaluates each measurement and instructs the inspector to continue taking measurements or respond to elevated levels of contamination. When the survey is completed, the HDT provides a clearance message on the LCD screen and the inspector may proceed to the next truck survey. At the end of the work turn, the stored results are printed for review and signature. Although the time required to complete the measurements is not reduced, the time required to prepare documentation is drastically condensed. Although the initial implementation is limited to surveying large trucks, the process may be extended to any repetitive waste management survey, such as inspections of shipping packages. Future versions of the software may also be expanded to minimize the time required for each measurement.

An abstract is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content.

This presentation briefly reviews the historical views of the industry and regulators toward the risks associated with potential severe accidents in nuclear power plants and focuses on actions and changes since the accident at Three Mile Island in 1979. Primary emphasis is placed on the intense interactions between the Nuclear Regulatory Commission and the Industry Degraded Core Rulemaking (IDCOR) Program since 1981.

The gamma thermometer depends upon the heat produced in the metallic instrument structure by gamma rays and high-energy neutrons. The heat so produced is primarily generated by gamma rays. The resulting temperature differential is proportional to the specific power of nearby nuclear fuel rods. Currently, several U. S. and foreign utilities have research and development programs underway to evaluate gamma thermometers as power monitors in large commercial reactor units. A program to fabricate and calibrate seven prototypic gamma thermometers (7.5 mm in diameter) has been completed by the Technology for Energy Corporation (TEC). Two different designs of the gamma thermometer for PWR applications were constructed. Basically, both designs consisted of two concentric 316 L stainless steel tubes swaged onto a bundle of sheathed thermocouple cables placed circumferentially around a sheathed nichrome-wire heater. The monolithic stainless steel thermocouple assembly was calibrated using electric resistance heating. Electric resistance heating results are presented, which show the output EMF for selected difference and double difference thermocouples versus specific power for these prototypic gamma thermometers. The results of the calibration program indicated that gamma thermometers show promise as in-core local power detectors for PWR applications due to their strong signals, highly linear sensitivities and relatively fast time responses. These prototypical instruments are now being irradiated in the Oak Ridge Research Reactor at Oak Ridge National Laboratory in an effort to establish the effect of neutron damage on the instrument calibration.