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: 12 months ago
Data from April, 2016
Submitted Oct 12, 2016


National Renewable Energy Laboratory



Publicly accessible License 


Levi Kilcher
National Renewable Energy Laboratory


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, ocean


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