U.S. Department of EnergyOffice of Scientific and Technical Information
Modular RivGen LCOE Content Model
Abstract
The Modular RivGen LCOE Content Model contains estimates of levelized cost of energy (LCOE) for three array configurations operating in a theoretical river environment. The LCOE is distinguished by the CapEx, OpEx, and annual energy production and capture for each river environment.
- Authors:
-
- Ocean Renewable Power Company
- Publication Date:
- Other Number(s):
- 353
- DOE Contract Number:
- EE0008948
- Research Org.:
- Marine and Hydrokinetic Data Repository (MHKDR); Ocean Renewable Power Company
- Sponsoring Org.:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Wind and Water Technologies Office (EE-4W)
- Collaborations:
- United States Geological Survey
- Subject:
- 16 TIDAL AND WAVE POWER; AEP; CEC; CapEx; Humboldt Bay; Hydrokinetic; LCOE; MHK; Marine; OM; OpEx; RivGen; annual; cost; cross flow turbine; economics; efficiency; electrical; energy; energy capture; energy production; mechanical; modular; power; power coefficient; power matrix; resource; river
- OSTI Identifier:
- 1706616
- DOI:
- https://doi.org/10.15473/1706616
Citation Formats
Obomsawin, Tagwongo. Modular RivGen LCOE Content Model. United States: N. p., 2020.
Web. doi:10.15473/1706616.
Obomsawin, Tagwongo. Modular RivGen LCOE Content Model. United States. doi:https://doi.org/10.15473/1706616
Obomsawin, Tagwongo. 2020.
"Modular RivGen LCOE Content Model". United States. doi:https://doi.org/10.15473/1706616. https://www.osti.gov/servlets/purl/1706616. Pub date:Tue Dec 15 04:00:00 UTC 2020
@article{osti_1706616,
title = {Modular RivGen LCOE Content Model},
author = {Obomsawin, Tagwongo},
abstractNote = {The Modular RivGen LCOE Content Model contains estimates of levelized cost of energy (LCOE) for three array configurations operating in a theoretical river environment. The LCOE is distinguished by the CapEx, OpEx, and annual energy production and capture for each river environment.},
doi = {10.15473/1706616},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Dec 15 04:00:00 UTC 2020},
month = {Tue Dec 15 04:00:00 UTC 2020}
}
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