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Title: Techno-Economic Optimization of the SurgeWEC Device

Abstract

This is the post-access report for a Teamer-funded effort to optimize the SurgeWEC device, a near-shore pivoting flap wave energy conversion device used to desalinate water. Parametrically driven cost and performance models enabled an integrated optimization approach at the farm scale. The metric used for this study was the levelized cost of water (LCOW). The data-set includes: 1. A public-domain post access report 2. An excel file with the data and plots generated under this study

Authors:
ORCiD logo
  1. Re Vision Consulting
Publication Date:
Other Number(s):
567
DOE Contract Number:  
EE0008895
Research Org.:
Marine and Hydrokinetic Data Repository (MHKDR); Re Vision Consulting
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Water Power Technologies Office (EE-4WP)
Collaborations:
Re Vision Consulting
Subject:
16 TIDAL AND WAVE POWER; Excel; Hydrokinetic; LCOW; MHK; Marine; Report; SurgeWEC; TEAMER; cost; desalination; economic; energy; power; techno-economic; wave; wave energy converter
OSTI Identifier:
2479747
DOI:
https://doi.org/10.15473/2479747

Citation Formats

Previsic, Mirko. Techno-Economic Optimization of the SurgeWEC Device. United States: N. p., 2022. Web. doi:10.15473/2479747.
Previsic, Mirko. Techno-Economic Optimization of the SurgeWEC Device. United States. doi:https://doi.org/10.15473/2479747
Previsic, Mirko. 2022. "Techno-Economic Optimization of the SurgeWEC Device". United States. doi:https://doi.org/10.15473/2479747. https://www.osti.gov/servlets/purl/2479747. Pub date:Sun Feb 20 04:00:00 UTC 2022
@article{osti_2479747,
title = {Techno-Economic Optimization of the SurgeWEC Device},
author = {Previsic, Mirko},
abstractNote = {This is the post-access report for a Teamer-funded effort to optimize the SurgeWEC device, a near-shore pivoting flap wave energy conversion device used to desalinate water. Parametrically driven cost and performance models enabled an integrated optimization approach at the farm scale. The metric used for this study was the levelized cost of water (LCOW). The data-set includes: 1. A public-domain post access report 2. An excel file with the data and plots generated under this study},
doi = {10.15473/2479747},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Sun Feb 20 04:00:00 UTC 2022},
month = {Sun Feb 20 04:00:00 UTC 2022}
}