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Early Market Opportunity MHK Energy Site Identification - Wave and Tidal Resources
L o a d i n g
Organization
National Renewable Energy Laboratory (NREL) - view all
Update frequencyunknown
Last updated5 days ago
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 CaliforniaHawaiiHydrokineticMHKMarinePacific IslandsPacific NorthwestPythonUnited Statesanalysischaracterizationcoastlinescodedatademanddeployment locationseconomicsenergyevaluationidentificationlong term planningmarket sizeoceanpowerrankingresourcescriptsitesitingtidaltidal energytideviabilitywater depthwavewave 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/7843
Harvest Object Id3bcee2fc-ea86-492d-b1f7-2292ff364c55
Harvest Source Id4eb7107f-a2b1-40e3-b36a-8161aa98a56e
Harvest Source TitleOpenEI Data Portal
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Trust Signals
Trust Framework(s)None
Assuranceunknown
Data Sensitivity Classunknown
Licenceunknown
Files
  • WaveData_All.xlsx

  • TideData_All.xlsx

  • run_wave01.py

  • run_tide01.py

  • 'Score Site' Library

  • MHK Energy Site Identification and Ranking Methodology - Tidal

  • MHK Energy Site Identification and Ranking Methodology - Wave