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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 559 records · Page 31

GUI Control System for the Mu2e Electrostatic Septum High Voltage at Fermilab

The Mu2e Experiment has stringent beam structure requirements; namely, its proton bunches with a time structure of 1.7 $\mu$s in the Fermilab Delivery Ring. This beam structure will be delivered using the Fermilab 8-GeV Booster, the 8-GeV Recycler Ring, and the Delivery Ring. The 1.7-$\mu$s period of the Delivery Ring will generate the required beam structure by means of a third order resonant extraction system operating on a single circulating bunch. The electrostatic septum (ESS) for this system is particularly challenging, requiring mechanical precision in a ultra high vacuum of 1 x 10$^-8$ Torr to generate 100 kV across 15 mm. This paper describes a graphical user interface that has been developed to automate the conditioning and commissioning process for the electrostatic septa. It is based on an interface to the Fermilab ACNET system using the ACSys Python Data Pool Manager (DPM) Client produced and maintained by Fermilab Accelerator Controls. Network interfacing between data pool managers made by the application and ACNET devices introduce an inherent (approximately 1 s) latency in throughput of the readouts. This delay is utilized to process and graph incoming data events of devices crucial to conditioning of a electrostatic septum (ESS). 'Ramping' and 'Monitoring' modes adjust settings of the power supply based on internal logic to efficaciously increase and maintain the high voltage (HV) in the ESS, easing the voltage setting on incidence of sparking or other possibly damaging events. A timestamped log file is produced as the application runs.

43 PARTICLE ACCELERATORS↗

Multiobjective optimization of nuclear microreactor reactivity control system operation with swarm and evolutionary algorithms

To improve the marketability of novel microreactor designs, there is a need for automated and optimal control of these reactors. This paper presents a methodology for performing multiobjective optimization of control drum operation for a microreactor under normal and off-nominal conditions. Here, two different case studies are used where the control drum configuration is optimized for the reactor to be critical with some desired power distribution that would satisfy peaking limits. A surrogate model for power distribution is developed based on a feedforward neural network. The process for determining weights for scalarization of the multiobjective optimization problem is also detailed. Six optimization algorithms: evolutionary strategies, differential evolution, grey wolf optimization, Harris hawks optimization, moth flame optimization and particle swarm optimization, are all applied to these cases and the results analyzed. Although all these algorithms will demonstrate optima-seeking behavior, for real-time control it is necessary to identify the best algorithm to efficiently provide reasonable optima without operator interference. The moth flame optimization algorithm was found to perform particularly well on both cases. Overall, it was found that the algorithms capable of supplying the best optima were also the most consistent. Finally, the found optima were verified with the original model used to train surrogates.

22 GENERAL STUDIES OF NUCLEAR REACTORS↗

ComEd – LBNL ‘Beyond Widgets’ Project Automated Shading Integrated with Lighting and HVAC Controls: System Program Manual

This program manual contains detailed technical information for developing an incentive program for automated shading integrated with lighting and HVAC controls. The manual was developed by Lawrence Berkeley National Laboratory, in collaboration with ComEd as a partner in the ‘Beyond Widgets’ project funded by the U.S. Department of Energy Building Technologies Office.

32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATI↗

Tightly integrated single- and multi-crystal data collection strategy calculation and parallelized data processing in JBluIce beamline control system

The calculation of single- and multi-crystal data collection strategies and a data processing pipeline have been tightly integrated into the macromolecular crystallographic data acquisition and beamline control software JBluIce . Both tasks employ wrapper scripts around existing crystallographic software. JBluIce executes scripts through a distributed resource management system to make efficient use of all available computing resources through parallel processing. The JBluIce single-crystal data collection strategy feature uses a choice of strategy programs to help users rank sample crystals and collect data. The strategy results can be conveniently exported to a data collection run. The JBluIce multi-crystal strategy feature calculates a collection strategy to optimize coverage of reciprocal space in cases where incomplete data are available from previous samples. The JBluIce data processing runs simultaneously with data collection using a choice of data reduction wrappers for integration and scaling of newly collected data, with an option for merging with pre-existing data. Data are processed separately if collected from multiple sites on a crystal or from multiple crystals, then scaled and merged. Results from all strategy and processing calculations are displayed in relevant tabs of JBluIce .

75 CONDENSED MATTER PHYSICS, SUPERCONDUCTIVITY AND↗

California Publicly-Owned Utilities (POUs) – LBNL ‘Beyond Widgets’ Project. Task: ambient lighting and occupancy-based plug load control. System Program Manual

This program manual contains detailed technical information for implementing an incentive program for task-ambient lighting and occupancy-based plug load control. This manual was developed by Lawrence Berkeley National Laboratory, in collaboration with the California Publicly-Owned Utilities (CA POUs) as a partner in the ‘Beyond Widgets’ program funded by the U.S. Department of Energy Building Technologies Office. The primary audience for this manual is the program staff of the various CA POUs. It may also be used by other utility incentive programs to help develop similar programs. It is anticipated that the content of this manual be utilized by the CA POU staff for developing related documents such as the Technical Resource Manual and other filings pertaining to the rollout of an energy systems-based rebate incentive program.

32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATI↗

Electrically heated particulate matter filter soot control system

A regeneration system includes a particulate matter (PM) filter with an upstream end for receiving exhaust gas and a downstream end. A control module determines a current soot loading level of the PM filter and compares the current soot loading level to a predetermined soot loading level. The control module permits regeneration of the PM filter when the current soot loading level is less than the predetermined soot loading level.

33 ADVANCED PROPULSION SYSTEMS↗

Secure Control Systems for the Energy Sector

The Padlock Project is an alliance between Tennessee Valley Authority (TVA), Sandia National Laboratories (SNL), and Schweitzer Engineering Laboratories Inc. (SEL). SEL is the prime contractor on the Padlock project. Rhett Smith (SEL) is the project director and Adrian Chaves (SNL) and John Stewart (TVA) are principle investigators. SEL is the world’s leader in microprocessor-based electronic equipment for protecting electric power systems. The Tennessee Valley Authority, a corporation owned by the U.S. government, provides electricity for 9 million people in parts of seven southeastern states at prices below the national average. TVA, which receives no taxpayer money and makes no profits, also provides flood control, navigation and land management for the Tennessee River system and assists utilities, and state and local governments with economic development.

54 ENVIRONMENTAL SCIENCES↗

Control System Upgrade for Canal ARC SAW

Upgrading the specific components of the Arc Saw, such as the HMI, the components of the chassis involving the I/O modules, servo motor modules, and PLC modules offers numerous advantages. By enhancing the HMI, the operators will benefit having a user-friendly interface, enabling smoother control and monitoring of the ARC SAW’s functionality. Upgrading the modules will contribute to an improved precision and responsiveness in changing modes of the ARC SAW as well as the adjusting the saw blades position, further enhancing the system's overall performance. These upgrades, while maintaining the same functionality, enable the latest technological advancements without needing significant changes or disruptions to existing operations.

21 SPECIFIC NUCLEAR REACTORS AND ASSOCIATED PLANTS↗

HVAC & Building Management Control System Energy Efficiency Replacements

The project objective was the replacement of an aging, un-repairable HVAC system which has grown inefficient and a huge energy consumer with low energy and efficient HVAC units, and installation of energy efficient building control technologies at City's YMCA Community Center.

32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATI↗

Transient Optimization of the Cryogenic Moderator System Controller at the Spallation Neutron Source for Improved Performance

The high-energy neutron beam generated at the Spallation Neutron Source (SNS) at Oak Ridge National Laboratory is moderated to use cold (slow) neutrons for scientific discoveries. The Cryogenic Moderator System (CMS) removes heat from the neutron beam using cryogenic hydrogen (H 2 ) moderators connected via heat exchangers to a helium (He) refrigeration loop that dissipates heat using a compressor-brake system. However, the CMS is affected by sporadic losses in beam power, referred to as "beam trips," as these events generate significant disturbances in cooling requirements. To accommodate the heat load transients during beam trips, the CMS uses a decentralized control strategy consisting of four flow valves and one electric heater adjusted by independent proportional-integral (PI) controllers. During the CMS’s initial commissioning, the PI gains were calibrated based only on tracking performance, overlooking their effectiveness in disturbance rejection. A data-driven, control-oriented closed-loop model was developed to recalibrate the PI gains and minimize the transient disturbances caused by beam trips. The model consists of three main components: (1) a physics-based model of the He refrigeration loop, (2) a machine-learning model of the cryogenic H 2 cooling trains, and (3) the control logic used for feedback set-point tracking. Experimental results showed that the recalibrated gains obtained in this study improved the CMS’s transient response during beam trips.

Maldonado Puente, Bryan↗

Frequency based electric vehicle charge controller system and method for implementing demand response and regulation services to power grid using frequency detection

Frequency responsive charging for plug-in hybrid electric vehicles (PHEV) and battery electric vehicles (BEV), a frequency sensing charging system and a method are provided for implementing demand response and regulation services to power grid using frequency detection for a frequency-based charge controller for plug-in hybrid electric vehicles (PHEV) and battery electric vehicles (BEV). A frequency of the power grid is continuously monitored and compared to a predefined tolerance band by a frequency sensor. Responsive to the frequency being outside the predefined tolerance band, the frequency is applied to a programmable logic controller. The programmable logic controller uses the applied frequency to identify a control action. A charge controller and a switch coupled to a battery charger receive respective identified control actions for controlling the battery charger.

24 POWER TRANSMISSION AND DISTRIBUTION↗

Ultra-Large-Scale Power System Control and Coordination Architecture: A Strategic Framework for Integrating Advanced Grid Functionality

Electric power grids are being stressed by integration of intermittent renewable resources and significant adoption of distributed energy resources. The complexity of the grid is growing rapidly as we attempt to support technical, business, and societal goals for which power grids were not originally designed. Today, we largely take stability of the grid for granted. Stability could significantly degrade or collapse because of new dynamics introduced to the grid, and because the emerging extreme complexity makes traditional control analysis intractable, so that grid behavior is more unpredictable than in the past. This paper describes emerging issues in grid control and provides reasons why the present path of grid control evolution is problematic and presents an ultra-large scale framework for grid control that can solve today’s problems and those expected over the next 30 years. Failure to address these issues in the short term will result in rapidly escalating system deployment and maintenance costs, potential stranded assets related to replacement of the “ad hoc” systems, along with substantial operational risks that are unacceptable under current utility and regulatory practices.

24 POWER TRANSMISSION AND DISTRIBUTION↗

Outline for Feasibility Study on a Nuclear Material Accounting and Control System for Measurement of High-Activity Waste at Tokai Reprocessing Plant during Decommissioning

The objective of this collaboration between the DOE/NNSA International Nuclear Security Program (INS) and JAEA is to conduct a feasibility study on nuclear material accounting and control needs and requirements for NDA measurement of high-activity waste at TRP during the decommissioning process. Under this study, both sides will exchange information, perform an assessment of needs and requirements, and develop joint recommendations for development of the A-HMMS.

98 NUCLEAR DISARMAMENT, SAFEGUARDS, AND PHYSICAL P↗

SICS: A Sensor-Based In-Line Control System for the Surfaces of Continuously Cast Slabs

The goal of this project was to develop and demonstrate a SICS test unit that meet the need of the steel industry for enhancing the continuous casting process for improved surface quality for the targeted benefits and that is composed of an In-line Imaging Module and a Hybrid Predictive Control Module. The In-line Imaging Module provides the real-time or near real-time Product Information to the Hybrid Predictive Control Module. The latter is able to fuse the Product Information with the Process Information. In order to support the goal, this project had the technical objectives for indexes such as inspection accuracy and in-line service life, based on the inspection coverage of the entire cast slab. The deployment of the SICS systems has the potential to provide benefits in reduction of energy waste, CO 2 emission, waste water amount, toxic waste, and so forth. It will help to uphold the competitiveness of the industry that employs approximately 150,000 people nationwide and consumes about 3% of the energy in the country. The Phase II project has been carried out in accordance to the proposed tasks and budget, based on the original and extended schedule. The R&D team designed and implemented the test unit for the full width coverage, installed the unit in a caster. The development work further included enhanced image processing, in-depth defect study and process control models. The function, operation, and maintenance of the SICS was thoroughly studied during the Phase II research. The experience indicates additional hardware and procedures are required to make the SICS a commercially ready product in operation and maintenance aspect. Such developments have been finished and the team is contacting potential customers for the first commercial installation of SICS. Additionally, OGT is exploring the possibility to team up with a US company that specializes in surface cleaning for slabs/blooms/billets such that the in-line surface inspection can be integrated with in-line surface clean up for the maximum benefit to the steel industry.

32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATI↗