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Title: Early Market Opportunity MHK Energy Site Identification - Wave and Tidal Resources

Abstract

This data was compiled for the 'Early Market Opportunity Hot Spot Identification' project. The data and scripts included were used in the 'MHK Energy Site Identification and Ranking Methodology' Reports (see resources below). The Python scripts will generate a set of results--based on the Excel data files--some of which were described in the reports. The scripts depend on the 'score_site' package, and the score site package depends on a number of standard Python libraries (see the score_site install instructions).

Authors:
Publication Date:
Other Number(s):
154
DOE Contract Number:  
FY16 AOP 141402
Product Type:
Dataset
Research Org.:
Marine and Hydrokinetic Data Repository (MHKDR); National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Wind and Water Technologies Office (EE-4W)
Subject:
16 Tidal and Wave Power
Keywords:
MHK; Marine; Hydrokinetic; energy; power; deployment locations; United States; coastlines; wave power density; water depth; Pacific Northwest; Central California; Hawaii; Pacific Islands; market size; tidal energy; analysis; long term planning; demand; tidal; resource; site; identification; characterization; economics; evaluation; viability; wave; tide; data; siting; ranking; Python; code; script
OSTI Identifier:
1439876
DOI:
10.15473/1439876

Citation Formats

Kilcher, Levi. Early Market Opportunity MHK Energy Site Identification - Wave and Tidal Resources. United States: N. p., 2016. Web. doi:10.15473/1439876.
Kilcher, Levi. Early Market Opportunity MHK Energy Site Identification - Wave and Tidal Resources. United States. doi:10.15473/1439876.
Kilcher, Levi. 2016. "Early Market Opportunity MHK Energy Site Identification - Wave and Tidal Resources". United States. doi:10.15473/1439876. https://www.osti.gov/servlets/purl/1439876. Pub date:Fri Apr 01 00:00:00 EDT 2016
@article{osti_1439876,
title = {Early Market Opportunity MHK Energy Site Identification - Wave and Tidal Resources},
author = {Kilcher, Levi},
abstractNote = {This data was compiled for the 'Early Market Opportunity Hot Spot Identification' project. The data and scripts included were used in the 'MHK Energy Site Identification and Ranking Methodology' Reports (see resources below). The Python scripts will generate a set of results--based on the Excel data files--some of which were described in the reports. The scripts depend on the 'score_site' package, and the score site package depends on a number of standard Python libraries (see the score_site install instructions).},
doi = {10.15473/1439876},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2016},
month = {4}
}

Dataset:

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