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).
Resources
7 resources available
-
'Score Site' Library
HTML -
TideData_All.xlsx
XLSX -
WaveData_All.xlsx
XLSX -
run_tide01.py
PY -
run_wave01.py
PY -
MHK Energy Site Identification and Ranking Methodology - Wave
PDF -
MHK Energy Site Identification and Ranking Methodology - Tidal
PDF
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Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[ "019:20" ] |
| contactPoint |
{ "fn": "Levi Kilcher", "@type": "vcard:Contact", "hasEmail": "mailto:levi.kilcher@nlr.gov" } |
| dataQuality |
true
|
| description | 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). |
| distribution |
[ { "@type": "dcat:Distribution", "title": "'Score Site' Library", "format": "HTML", "accessURL": "https://github.com/lkilcher/score_site", "mediaType": "text/html", "description": "This library contains tools for performing the site-scoring and ranking described in the MHK Early Market reports." }, { "@type": "dcat:Distribution", "title": "TideData_All.xlsx", "format": "xlsx", "accessURL": "https://mhkdr.openei.org/files/154/TideData_All.xlsx", "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet", "description": "The 'Site' tab includes data on each 'site'. The 'Resource' tab includes all of the resource data." }, { "@type": "dcat:Distribution", "title": "WaveData_All.xlsx", "format": "xlsx", "accessURL": "https://mhkdr.openei.org/files/154/WaveData_All.xlsx", "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet", "description": "The 'Site' tab includes data on each 'locale'. The 'Resource' tab includes all of the resource data." }, { "@type": "dcat:Distribution", "title": "run_tide01.py", "format": "py", "accessURL": "https://mhkdr.openei.org/files/154/run_tide01.py", "mediaType": "application/octet-stream", "description": "This script is meant to be used with the 'score_site' library for calculating the results presented in the 'Tidal Early Market' report." }, { "@type": "dcat:Distribution", "title": "run_wave01.py", "format": "py", "accessURL": "https://mhkdr.openei.org/files/154/run_wave01.py", "mediaType": "application/octet-stream", "description": "This script is meant to be used with the 'score_site' library for calculating the results presented in the Wave 'Early Market' report." }, { "@type": "dcat:Distribution", "title": "MHK Energy Site Identification and Ranking Methodology - Wave", "format": "pdf", "accessURL": "https://www.nrel.gov/docs/fy17osti/66038.pdf", "mediaType": "application/pdf", "description": "Paper which utilizes the tidal data included in this dataset. The ranking methodology is a multi-criteria decision analysis that uses six criteria to identify likely deployment locations. The criteria include resource density (wave power density), market size, energy price (an estimate of avoided energy cost in the market), distance to transmission, shipping cost, and water depth. " }, { "@type": "dcat:Distribution", "title": "MHK Energy Site Identification and Ranking Methodology - Tidal", "format": "pdf", "accessURL": "https://www.nrel.gov/docs/fy17osti/66079.pdf", "mediaType": "application/pdf", "description": "Paper which utilizes the tidal data included in this dataset. The ranking methodology is a multi-criteria decision analysis that uses six criteria to identify likely deployment locations. The criteria include resource density (tidal power density), market size, energy price (an estimate of avoided energy cost in the market), range to resource, shipping cost, and water depth." } ] |
| DOI | 10.15473/1439876 |
| identifier | https://data.openei.org/submissions/7843 |
| issued | 2016-04-01T06:00:00Z |
| keyword |
[ "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" ] |
| landingPage | https://mhkdr.openei.org/submissions/154 |
| license | https://creativecommons.org/licenses/by/4.0/ |
| modified | 2020-07-02T17:20:39Z |
| programCode |
[ "019:009" ] |
| projectLead | Joel Cline |
| projectNumber | FY16 AOP 141402 |
| projectTitle | Early Market Opportunity Hot Spot Identification and Resource Characterization |
| publisher |
{ "name": "National Renewable Energy Laboratory", "@type": "org:Organization" } |
| spatial |
"{"type":"Polygon","coordinates":[[[159.9294875,13.817014664209],[-62.2691,13.817014664209],[-62.2691,74.162368939078],[159.9294875,74.162368939078],[159.9294875,13.817014664209]]]}"
|
| title | Early Market Opportunity MHK Energy Site Identification - Wave and Tidal Resources |
