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Results for “loss”
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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Voltage-Controlled Fast and Low-Loss Single-Photon Cross-Bar Switch Using Integrated Photonics
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Combined Estimation of Degradation and Soiling Losses in Photovoltaic Systems
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Analysis of PV Module Power Loss and Cell Crack Effects Due to Accelerated Aging Tests and Field Exposure
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Photovoltaic Module Spectral Mismatch Losses Due to Cell-Level EQE Variation
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Distributed Mixed Voltage Angle and Frequency Droop Control of Microgrid Interconnections With Loss of Distribution-PMU Measurements
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Characterization and Modeling of Ceramic Capacitor Losses Under Large Signal Operating Conditions
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Self-Adaptation of Line Driver Pre-Emphasis Parameters via Embedded Line Loss Sensing
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Estimating Subhourly Inverter Clipping Loss From Satellite-Derived Irradiance Data
Photovoltaic system production simulations are conventionally run using hourly weather datasets. Hourly simulations are sufficiently accurate to predict the majority of long-term system behavior but cannot resolve high-frequency effects like inverter clipping caused by short-duration irradiance variability. Direct modeling of this subhourly clipping error is only possible for the few locations with high-resolution irradiance datasets. This paper describes a method of predicting the magnitude of this error using a machine learning regressor ensemble model, comprised of a random forest and an XGBoost model, and 30-minute satellite irradiance data. The method predicts a correction for each 30-minute interval with the potential to roll up into 60-minute corrections to match an hourly energy model. The model is trained and validated at locations where the error can be directly simulated from 1-minute ground data. The validation shows low bias at most ground station locations. The model is also applied to gridded satellite irradiance to produce a heatmap of the estimated clipping error across the United States. Finally, the relative importance of each predictor satellite variable is retrieved from the model and discussed.
Improved Snow Loss Modeling Accounting for the Orientation of Modules
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Performance Loss Rate Estimation of Fielded Photovoltaic Systems Based on Statistical Change-Point Techniques .
Abstract not provided.
Critical Current Densities and n-Values of MgB 2 Conductors for SMES, MRI, and Low AC Loss Applications
Multifilamentary MgB 2 strands (filament numbers 36 to 114) prepared by the in-situ power-in-tube (PIT) route with carbon doping contents of 0, 2, and 3.2% were wound on barrels for transport J c and n -value measurement at 4.2 K in fields of up to 12 T. The strand and gauge lengths were 1 m and 0.5 m. Heat treatments at 675 °C and 650 °C centered around the melting point of Mg (650 °C) and both utilized the liquid-solid reaction. A pair of strands, with and without 2% C doping exhibited the J c (B) crossover effect. Here studied were the dependencies of J c on field strength, dopant concentration, and cabling and the dependence of n -value on field strength.
Mitigating Transformer Loss of Life and Reducing the Hazard of Failure by the Smart EV Charging
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