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Results for “Reduce order modeling”
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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A data-driven reduced-order model for stiff chemical kinetics using dynamics-informed training
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A time-relaxation reduced order model for the turbulent channel flow
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Approximating a branch of solutions to the Navier–Stokes equations by reduced-order modeling
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Grain boundary network plasticity: Reduced-order modeling of deformation-driven shear-coupled microstructure evolution
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An energy-based lengthscale for reduced order models of turbulent flows
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Reduced order modeling of a fluidized bed particle receiver for concentrating solar power with thermal energy storage
Oxide particles can serve as both the heat transfer and thermal energy storage (TES) media for next-generation concentrating solar power (CSP) plants where high-temperature TES enables dispatchable electricity from efficient power cycles with firing temperatures above 600 °C. Transferring heat to flowing particles at such high temperatures in a MW-scale central tower receiver remains a challenge for the CSP community. For indirect receivers with external walls to contain the particles, maintaining wall temperatures below the limits of structural metal alloys requires high heat transfer coefficients between the wall and the moving particle stream. Bubbling fluidization of downward-flowing particles can sustain high bed-wall heat transfer coefficients (> 1000 W m -2 K -1 ). Using experimentally calibrated correlations for bed-wall heat transfer and vertical particle dispersion, this study implements an axially discretized zonal model of a counterflow fluidized bed receiver to explore how bubbling fluidization may enable indirect cavity particle receivers. High bed-wall heat transfer coefficients support solar fluxes on angled cavity walls > 200 kW m -2 at peak aperture fluxes of 980 kW m -2 while maintaining external wall temperatures < 950 °C. Lateral particle dispersion enables hotter particles near the receiver leading edge to mix with cooler particles further from the leading edge to lower maximum external wall temperatures. Parametric studies identify how mass fluxes, particle dispersion, and solar concentrations impact indirect receiver thermal efficiency and uniformity for a CSP plant. These studies provide a basis for the design of indirect fluidized-bed cavity receivers that can maintain particle outlet temperatures for TES above 750 °C.
Data-Driven Reduced Ordering Modeling for Warm Rain Microphysics
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Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process
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Physics Guided Machine Learning for Variational Multiscale Reduced Order Modeling
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User’s Manual for Seal_Flux: A Seal Barrier Reduced-Order Model
This report provides a brief description on the use of the Seal_Flux computer program developed as part of the effort to quantify the risk of geologic storage of carbon dioxide (CO 2 ) under the U.S. Department of Energy’s (DOE) National Risk Assessment Partnership (NRAP). The Seal_Flux code simulates the flow of CO 2 through a low permeability rock horizon or seal formation overlying the storage reservoir into which CO 2 is injected. A two-phase, relative permeability approach with Darcy’s law is used for one-dimensional (1D) flow computations of CO 2 through the horizon in the vertical direction. The code also allows the simulation of time-dependent processes that can influence such flow.
Projection-based Reduced Order Models at Sandia National Labs.
Abstract not provided.
Reduced Order Model in a substructural formulation for component-oriented reduction.
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The Mallat Scattering Transform fro reduced order modeling of partial differential equations.
Abstract not provided.