Reducing Grid Emissions with a Software Upgrade

Event Status
Scheduled

Dr. Kyri Baker
Assistant Professor, University of Colorado Boulder

 

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Bio:

Dr. Kyri Baker received her B.S., M.S., and Ph.D. in Electrical and Computer Engineering from Carnegie Mellon University in 2009, 2010, and 2014, respectively. From 2015 to 2017, she worked at the National Renewable Energy Laboratory. Since Fall 2017, she has been an Assistant Professor at the University of Colorado Boulder and is a Fellow of the Renewable and Sustainable Energy Institute (RASEI). She develops computationally efficient algorithms for energy systems ranging from building-level assets to international transmission grids. Dr. Baker has received a National Science Foundation CAREER award for her work combining power system operations with machine learning, and has led an award-winning team in the ARPA-E Grid Optimization competition.

Abstract: 

Reducing operational emissions in power grids has conventionally centered around three avenues: 1) the development, advancement, and adoption of clean energy technologies; 2) Improving infrastructure efficiency and access (e.g. transmission expansion); and 3) Load-side efforts such as energy efficiency, electrification, and demand response. However, the core optimization problem that governs grid operations within independent system operators, responsible for market clearing and determining prices, relies on multiple engineering approximations. These approximations of the physical laws that govern power flow, in turn, result in suboptimal operations. In this talk, we discuss these approximations, their potential impact on emissions, and potential optimization and machine learning algorithms that can help utilize existing grid assets and infrastructure in a more optimal manner.

Note: This talk will be presented remotely via Zoom Webinar and on the Energy Institute's YouTube channel. If using Zoom, viewers must register for an account with Zoom and log in to Zoom using that registration in order to use the meeting link and participate. Faculty, students and staff of UT, please use your personal UT Zoom account. 

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Date and Time
Feb. 6, 2024, 12:30 to 1:30 p.m.
Location
Live Stream Online (Zoom and YouTube)
Event tags
UT Energy Symposium