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Displaying 1 - 25 of 288

Stochastic Method for Generating Residential Household Energy Models of Varying Income Level and Climate Zone for Testing Energy Fairness

September 26, 2023
Author(s)
Hannah Covington, Brian Woo-Shem, Chenli Wang, Thomas Roth, Cuong Nguyen, Hohyun Lee
Interest in residential energy management necessitates fairness testing of energy technology and policy developments. Considering income level is particularly important because increased utility bills put low-income households at higher risk of economic

Impact of Dynamic Prices on Distribution Grid Power Quality

August 16, 2023
Author(s)
David Holmberg, Thomas Roth, Farhad Omar
Dynamic price signals may provide a way to support integration of customer distributed energy resources (DER) into the electric grid and to help manage DER flexibility to support distribution system and bulk grid needs. Use of DER flexibility includes peak

Non-nulling Protocols for Fast, Accurate, 3-D Velocity Measurements in Stacks

July 28, 2023
Author(s)
Iosif Isaakovich Shinder, Aaron Johnson, James Filla, Vladimir B. Khromchenko, Michael R. Moldover, Joey Boyd, John D. Wright, John R. Stoup
We present protocols for making fast, accurate, 3-D velocity measurements in the stacks of coal-fired power plants. The measurements are traceable to internationally-recognized standards; therefore, they provide a rigorous basis for measuring and/or

Comparing Economic Benefits of HVAC Control Strategies in Grid-Interactive Residential Buildings

May 1, 2023
Author(s)
Brian Woo-Shem, Kaleb Pattawi, Hannah Covington, Patrick McCurdy, Chenli Wang, Thomas Roth, Cuong Nguyen, Yuhong Liu, Hohyun Lee
Energy consumption in buildings continues to rise with increased deployment of energy-consuming equipment such as Heating, Ventilation, and Air Conditioning (HVAC) amid a growing world economy. Renewable energy is projected to comprise a majority of the

A Review of Machine Learning Control in Building Operations

March 14, 2023
Author(s)
Liang Zhang, Zhelun Chen, Xiangyu Zhang, Amanda Pertzborn
Machine learning control (MLC) is a highly flexible and adaptable method that enables the design, modeling, tuning, and maintenance of building controllers to be more accurate, automated, flexible, and adaptable. The research topic of MLC in building

Generator Fleet Characteristics Model

February 6, 2023
Author(s)
Cheyney O'Fallon, Avi Gopstein
This manuscript presents the Generator Fleet Characteristics Model (GFCM), a general purpose tool for the analysis of power system operations, economics, and resilience. The GFCM is a collection of MATLAB functions that use publicly available data with

Benefits of Smart Grid Interoperability

December 8, 2022
Author(s)
Avi Gopstein, Cuong Nguyen, Cameron Brooks, Michael Hughes, Marguerite Behringer, Wendy Klarman, Chris Villarreal, Danielle Sass Byrnett
The electricity grid is changing. The National Institute of Standards and Technology (NIST) has indicated that operating a modern grid will involve a diverse portfolio of energy resources and multiple economic structures that will rely on, and ultimately

On the "intrinsic" breakdown of thick gate oxide

October 12, 2022
Author(s)
Kin (Charles) Cheung
Thick gate oxide breakdown mechanism becomes an important topic again due to the rising demand of power electronics. The failure of the percolation model in explaining the observed Weibull shape factor of thick oxide breakdown distribution seriously
Displaying 1 - 25 of 288