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Title: Characterizing fusion market entry via an agent-based power plant fleet model

Abstract

An agent based model characterizing the U.S. power plant fleet was formulated to compare scenarios for fusion energy technology diffusion. The model employs historical data to form distributions for power plant retirements, and simulates construction of new capacity to meet electricity demand on an annual basis. Scenario analysis within this paper explores model sensitivity to 1) the year of market entry for commercial fusion technologies, 2) rate of diffusion, and 3) market capture limit. Results indicate that the first-decade market potential for fusion power plants depends on retirements of other generating resources and finds that near-term availability of fusion technology has limited potential to mitigate fleet-wide emissions in the near term, even at high rates of market capture.

Authors:
ORCiD logo; ;
Publication Date:
Research Org.:
Univ. of Texas, Austin, TX (United States)
Sponsoring Org.:
USDOE Advanced Research Projects Agency - Energy (ARPA-E)
OSTI Identifier:
1562728
Alternate Identifier(s):
OSTI ID: 1820941
Grant/Contract Number:  
EE0007091
Resource Type:
Published Article
Journal Name:
Energy Strategy Reviews
Additional Journal Information:
Journal Name: Energy Strategy Reviews Journal Volume: 26 Journal Issue: C; Journal ID: ISSN 2211-467X
Publisher:
Elsevier
Country of Publication:
Netherlands
Language:
English
Subject:
11 NUCLEAR FUEL CYCLE AND FUEL MATERIALS; Agent-based modeling; Fusion energy; Power plant; Green new deal

Citation Formats

Spangher, Lucas, Vitter, J. Scott, and Umstattd, Ryan. Characterizing fusion market entry via an agent-based power plant fleet model. Netherlands: N. p., 2019. Web. doi:10.1016/j.esr.2019.100404.
Spangher, Lucas, Vitter, J. Scott, & Umstattd, Ryan. Characterizing fusion market entry via an agent-based power plant fleet model. Netherlands. https://doi.org/10.1016/j.esr.2019.100404
Spangher, Lucas, Vitter, J. Scott, and Umstattd, Ryan. Fri . "Characterizing fusion market entry via an agent-based power plant fleet model". Netherlands. https://doi.org/10.1016/j.esr.2019.100404.
@article{osti_1562728,
title = {Characterizing fusion market entry via an agent-based power plant fleet model},
author = {Spangher, Lucas and Vitter, J. Scott and Umstattd, Ryan},
abstractNote = {An agent based model characterizing the U.S. power plant fleet was formulated to compare scenarios for fusion energy technology diffusion. The model employs historical data to form distributions for power plant retirements, and simulates construction of new capacity to meet electricity demand on an annual basis. Scenario analysis within this paper explores model sensitivity to 1) the year of market entry for commercial fusion technologies, 2) rate of diffusion, and 3) market capture limit. Results indicate that the first-decade market potential for fusion power plants depends on retirements of other generating resources and finds that near-term availability of fusion technology has limited potential to mitigate fleet-wide emissions in the near term, even at high rates of market capture.},
doi = {10.1016/j.esr.2019.100404},
journal = {Energy Strategy Reviews},
number = C,
volume = 26,
place = {Netherlands},
year = {2019},
month = {11}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
https://doi.org/10.1016/j.esr.2019.100404

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Cited by: 1 work
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