The Past as prologue : the value creation of batteries on the U.S. electric grid as a function of time and location
Name
1117774404-MIT.pdf
Size
27.39 MB
Format
Adobe PDF
Checksum (MD5)
fe11ff306c29a8dda4b4844180c9e1a8
Author(s)
Brocks, Annette Josie.
Advisor(s)
Francis O'Sullivan.
Alternative Title
Value creation of batteries on the U.S. electric grid as a function of time and location
Date Issued
2019
Publisher
Massachusetts Institute of Technology
Abstract
We simulate the revenue generated by transmission-connected, small scale energy storage in the energy and capacity markets using historic prices across 10,000 U.S. locations from 2014 to 2017. On average, including capacity market revenue doubles total revenue, such that five-times more systems breakeven. Furthermore, participating in the capacity market shifts the whereabouts of top-earning systems eastwards, and allows top-earning nodes to remain top-earning for longer. That being said, revenue generation still varies greatly across years for a given location. In order to reflect the contribution of storage to grid reliability during times of stress, we treat capacity market revenue as a function of output during given hours throughout the year; changing the identification of these hours - whether taken as some percent of top demand hours, or as determined by market regulators- can increase revenue up to ten-times that of energy market participation alone. Durations shorter than 8-hours are found to more significantly contribute to reliability than predicted via simplistic analysis of the durations of high risk hours. Considering that participation in the capacity market, as modeled, will always increase total revenue, and that storage units will change dispatch behavior even to earn comparatively small increases in total revenue, designing markets that appropriately incentivize system reliability is a critical task of regulators.
Description
Thesis: S.M. in Technology and Policy, Massachusetts Institute of Technology, School of Engineering, Institute for Data, Systems, and Society, 2019
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 168-184).
Subjects
Institute for Data, Systems, and Society.
Technology and Policy Program.
MIT Department
Massachusetts Institute of Technology. Institute for Data, Systems, and Society
Massachusetts Institute of Technology. Engineering Systems Division
Technology and Policy Program
Terms of Use
MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.
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