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

Journal Article · · Energy Strategy Reviews
ORCiD logo [1];  [2];  [1]
  1. US Department of Energy (USDOE), Washington DC (United States). Advanced Research Projects Agency-Energy (ARPA-E)
  2. Univ. of Texas, Austin, TX (United States)

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.

Research Organization:
Univ. of Texas, Austin, TX (United States)
Sponsoring Organization:
USDOE Advanced Research Projects Agency - Energy (ARPA-E)
Grant/Contract Number:
EE0007091
OSTI ID:
1562728
Alternate ID(s):
OSTI ID: 1820941
Journal Information:
Energy Strategy Reviews, Vol. 26; ISSN 2211-467X
Publisher:
ElsevierCopyright Statement
Country of Publication:
United States
Language:
English

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Cited By (2)

Retrospective of the ARPA-E ALPHA Fusion Program journal October 2019
Retrospective of the ARPA-E ALPHA fusion program text January 2019