MLDL Presentation Video: Deep Neural Operators as Accurate Surrogates for Shape Optimization
Presentation on content from this publication: https://www.sciencedirect.com/science/article/pii/S0952197623017992
SEARCH · Engineering Papers
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.
Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.
Presentation on content from this publication: https://www.sciencedirect.com/science/article/pii/S0952197623017992
Explore the source record for details and available documents.
Explore the source record for details and available documents.
companion presentation to recently approved SPIE conference paper of same title having Request ID 1781903
Explore the source record for details and available documents.
Optical gas imaging through multispectral cameras is a promising technique for mitigation of methane emissions through localization and quantification of emissions sources. While more advanced cameras developed in recent years have led to lower uncertainties in measuring gas concentrations, a systematic analysis of the uncertainties associated with leak rate estimation have been overlooked. We present a systematic categorization of the involved uncertainties with a focus on a theoretical analysis of projection uncertainties that are inherent to this technique. The projection uncertainties are then quantified using Large Eddy Simulation experiments of a point source release into the atmosphere. Our results show that while projection uncertainties are typically about 5% of the emission rate, low acquisition times and observation of the gas plume at small distances from the emission source (<10 m) can amount to errors of about 20%. Further, we found that acquisition times on the order of tens of seconds are sufficient to significantly reduce (>50%) the projection uncertainties. These findings suggest robust procedures on how to reduce projection uncertainties, however, a balance between other sources of uncertainty due to operational conditions and the employed instrumentation are required to outline more practical guidelines.
Explore the source record for details and available documents.
1. Provide cleaned and filtered data stream from multiple ARM disdrometers; 2. Estimate commonly-used physical parameters of the Drop Size Distribution (DSD). 3. Calculate radar equivalent quantities such as the Radar Reflectivity Factor Z.
Explore the source record for details and available documents.
Explore the source record for details and available documents.
Abstract not provided.
Explore the source record for details and available documents.
Explore the source record for details and available documents.
This presentation by NETL was given at the 2022 American Society of Mechanical Engineers conference in Pittsburgh, PA (July 18-21, 2022). The presentation gives an overview of an analysis of wastewater emissions associated with coal combustion residual leachate, including constituents present, variability according to coal type burned at the plant, national estimates of total volume of wastewater that requires treatment, and the cost to treat.
Explore the source record for details and available documents.
Explore the source record for details and available documents.
Explore the source record for details and available documents.