Economic optimization of a CO2-based EGS power plant

Atrens, Aleks D., Gurgenci, Hal and Rudolph, Victor (2011) Economic optimization of a CO2-based EGS power plant. Energy and Fuels, 25 8: 3765-3775. doi:10.1021/ef200537n

Author Atrens, Aleks D.
Gurgenci, Hal
Rudolph, Victor
Title Economic optimization of a CO2-based EGS power plant
Formatted title
Economic optimization of a CO2-based EGS power plant
Journal name Energy and Fuels   Check publisher's open access policy
ISSN 0887-0624
Publication date 2011-08
Sub-type Article (original research)
DOI 10.1021/ef200537n
Volume 25
Issue 8
Start page 3765
End page 3775
Total pages 11
Place of publication Washington, DC, U.S.A.
Publisher American Chemical Society
Collection year 2012
Language eng
Formatted abstract
CO2-based enhanced geothermal systems (EGSs) have been examined from a reservoir-oriented perspective, and as a result thermodynamic performance is well explored. Economics of the system are still not well understood, however. In this study, the economics of the CO2-based EGS technology is explored for an optimized power plant design and best-available cost estimation data. We demonstrate that near-optimum turbine exhaust pressure can be estimated from surface temperature. We identify that achievable cooling temperature is an important economic site consideration alongside resource temperature. The impact of time required to sufficiently dry the reservoir prior to power generation is also addressed. The role of sequestration as part of CO2-based EGS is also examined, and we conclude that if fluid losses occur, the economic viability of the concept depends strongly on the price associated with CO2.
Keyword Enhanced geothermal systems
Working fluid
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: School of Mechanical & Mining Engineering Publications
Official 2012 Collection
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 13 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 18 times in Scopus Article | Citations
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Created: Sun, 04 Sep 2011, 01:10:37 EST by System User on behalf of School of Mechanical and Mining Engineering