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

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).
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Additional Info

DOE Project Name: Early Market Opportunity Hot Spot Identification and Resource Characterization
DOE Project Number: FY16 AOP 141402
DOE Project Lead: Joel Cline
DOI: 10.15473/1439876
Last Updated: over a year ago
Data from April, 2016
Submitted Oct 12, 2016

National Renewable Energy Laboratory




This submission does not list any authors.


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


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