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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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Deployment of Dynamic Neural Network Optimization to Minimize Heat Rate During Ramping for Coal Power Plants (Final Technical Report)
Much success was achieved throughout the course of this project. A successful implementation of Dynamic Neural Network Optimization (D-NNO) was coupled with Adaptive Predictive Controls (APC) and a novel hardware installation comprised of an advanced sensor network (ASN) measuring mass-weighted averages of flue gas constituents above the horizontal superheater of a coal-fired utility boiler. From 2019 through 2023 (including an extension due to COVID delays), the team was able to prototype, evaluate, deploy, iterate, and ultimately finalize an advanced closed-loop control D-NNO system which demonstrated the ability to: •improve unit efficiency ~2.0% relative to unoptimized operation (represented as total fuel fired per MWh generated) •improve unit NOx emission rates 10%+ beyond static optimization baselines •improve unit temperature stability as much as 58% and on average 12% •improve operating load stability as much as 35% The culmination of this project has generated an advanced methodology of deploying specially designed recurrent neural networks (long short-term memory, gated recurrent unit, encoder-decoder networks, transformers, etc.), customized trajectory planning and closed-loop optimization modules capable of adapting to live electric grid responses and demands, self-tuning and adaptive expert controls constantly adjusting prediction parameters to real-time unit behavior, and a hardware/software package able to reliably calculate net unit heat rate (NUHR) in real-time using flue gas constituents, machine learning, and known combustion relationships. Through this real-time NUHR value, immediate feedback on system adjustments relative to operating efficiency was available, allowing for rapid improvements to system performance. In addition to development and deployment of the advanced D-NNO system, the approach methodology has been readily commercialized through the project platform Griffin Open Systems, LLC, the D-NNO software platform host. Similar methodologies to those developed by this project have already been deployed at 5 other units across the United States, with another 6 implementations scheduled, and more expected. Over the course of the project, multiple academic papers were submitted and accepted for publication within esteemed academic journals, and PhD students were trained and graduated, as well as undergraduate students becoming involved and participating to project objectives.
High-precision room-temperature isotherm of Pt to over 400 GPa from ramp-compression experiments at the Z machine
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Quantifying uncertainty for multi-megabar ramp compression of Pt
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Dynamic x-ray diffraction of materials under ramp compression on the Thor pulsed-power generator
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Using shockless ramp compression to investigate melting in Earth’s mantle
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Deployment of additional LWR test loops and BWR / Ramp testing in ATR – I-Loop [Slides]
Abstract not provided.
Reconceptualizing Off-Ramps as a Tool of U.S.-China Escalation Management
Great power rivalry, at any point on the competition spectrum, involves assessments of risks and decisions on where to take them. Assessing risk versus reward is also integral to the decision to cooperate in the form of arrangements like arms control. As Donald Brennan wrote more than sixty years ago, the value in arms control lies in whether it “reduce[s] the hazards of the present armament policies by a factor greater than the amount of risk introduced by the control measures themselves.” 2 States can assume in peacetime the risks inherent in cooperating with an adversary, to attempt to mitigate risks likely to arise in crisis or conflict. Or they can choose to forgo cooperation and assume risks later, which will complicate their ability to manage crises, war, and war termination.
Fast Ramping Accelerator Dipole Models for Fermilab s Booster Upgrade and Muon Collider
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Shock-ramp compression of MgO up to 390 GPa on Sandia's Z Machine
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Fast Ramping Accelerator Dipole Models for Fermilab’s Booster Upgrade and Muon Collider
The future discoveries in the field of High Energy Physics are led by the development of new types of accelerators. Around the world, there are a lot of researchers that are studying some possible designs for the future accelerators and some of them are considering the use of alternating current inside the superconducting magnets in order to have better efficiency. The work described in this report tries to compare some superconducting magnets made of different materials and to understand which one of them can be considered for its better performance working in a variable magnetic field. For this goal, becomes really important to control the temperature of the coil, and, as visible in the next chapter, to relate this parameter to the frequency of the magnetic field, in order to find, as will be named, the critical frequency .
SATS Enhanced Capabilities and Demonstration of Improved Ramp Rates for In-Cell Testing
This report presents the development of the second-generation Severe Accident Test Station, referred to as SATS 2.0. SATS 2.0 represents a major advancement in addressing critical research needs for the United States nuclear industry, particularly in relation to fuel fragmentation, relocation, and dispersal (FFRD) concerns associated with the nuclear industry’s goal to extend fuel burnup beyond a peak rod average of 62 GWd/tU. The central objective of SATS 2.0 was the deployment a new furnace capable of achieving heating rates up to 100°C/s. This achievement addresses critical capability gaps, enabling assessment of prioritized research objectives established by the Electric Power Research Institute’s (EPRI) Collaborative Research on Advanced Fuel Technologies (CRAFT) working group. These research objectives are directly related to high-burnup loss-of-coolant accident (LOCA) conditions and the effects of prolonged exposure to elevated temperatures, both of which are crucial to enhancing nuclear safety and efficiency. The SATS 2.0 system builds upon prior experience with the original SATS system, which focused on evaluating accident-tolerant fuel (ATF) cladding concepts during accident conditions. However, the new system not only expands upon prior core capabilities by achieving higher heating rates with a better furnace but also plans to incorporate novel auxiliary systems to create a versatile platform for addressing current research needs. For example, a system was developed for the quantification and characterization of fission gas released during high-temperature transients. Additionally, in situ measurement capabilities were developed, such as digital image correlation which enabled the real-time capture of strain related to balloon and burst events and fiber-optic sensors that allowed for high-fidelity characterization of temperature gradients. Demonstration tests of the new 12-lamp furnace achieved heating rates up to 120°C/s. Notably, SATS 2.0 demonstrated its capacity to simulate LOCA burst tests at different pressures, yielding burst data that align with historical empirical models. Moreover, the system exhibited its capability to simulate complex conditions observed in anticipated operational occurrences, while effectively mitigating temperature overshoots. These accomplishments mark significant progress toward overcoming FFRD challenges and advancing the United States nuclear industry's safety basis and technical capabilities for extended burnup.
Exploration of ramp wave analysis methods through the double-wide stripline platform
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Thermoelectricity of MgO up to 400 GPa using shock-ramp compression on the Z machine
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Multi-megabar ramp-compression experiments on rhenium
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Effect of water on shockless ramp compression of amorphous SiO2 to upper mantle pressures
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Effect of water on shockless ramp compression of amorphous SiO2 to upper mantle pressures
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Hypersonic Shock Wave-Boundary Layer Interaction Experiments on a Cone-Slice-Ramp over a Range of Enthalpies
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