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

OwnerNational Renewable Energy Laboratory (NREL) - view all

Update frequencyunknown

Last updatedabout 1 year ago

Format

Overview

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).

Central California Hawaii Hydrokinetic MHK Marine Pacific Islands Pacific Northwest Python United States analysis characterization coastlines code data demand deployment locations economics energy evaluation identification long term planning market size ocean power ranking resource script site siting tidal tidal energy tide viability water depth wave wave power density

Additional Information

KeyValue

dcat_issued2016-04-01T06:00:00Z

dcat_modified2020-07-02T17:20:39Z

dcat_publisher_nameNational Renewable Energy Laboratory

guidhttps://data.openei.org/submissions/3950

ib1_trust_framework[]

language

Files

XLSX
WaveData_All.xlsx
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XLSX
TideData_All.xlsx
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py
run_wave01.py
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py
run_tide01.py
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HTML
'Score Site' Library
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PDF
MHK Energy Site Identification and Ranking Methodology - Tidal
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PDF
MHK Energy Site Identification and Ranking Methodology - Wave
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