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).
Citation Formats
TY - DATA
AB - 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).
AU - Kilcher, Levi
DB - Open Energy Data Initiative (OEDI)
DP - Open EI | National Renewable Energy Laboratory
DO - 10.15473/1439876
KW - MHK
KW - Marine
KW - Hydrokinetic
KW - energy
KW - power
KW - deployment locations
KW - United States
KW - coastlines
KW - wave power density
KW - water depth
KW - Pacific Northwest
KW - Central California
KW - Hawaii
KW - Pacific Islands
KW - market size
KW - tidal energy
KW - analysis
KW - long term planning
KW - demand
KW - tidal
KW - resource
KW - site
KW - identification
KW - characterization
KW - economics
KW - evaluation
KW - viability
KW - wave
KW - tide
KW - data
KW - siting
KW - ranking
KW - Python
KW - code
KW - script
KW - ocean
LA - English
DA - 2016/04/01
PY - 2016
PB - National Renewable Energy Laboratory
T1 - Early Market Opportunity MHK Energy Site Identification - Wave and Tidal Resources
UR - https://doi.org/10.15473/1439876
ER -
Kilcher, Levi. Early Market Opportunity MHK Energy Site Identification - Wave and Tidal Resources. National Renewable Energy Laboratory, 1 April, 2016, MHKDR. https://doi.org/10.15473/1439876.
Kilcher, L. (2016). Early Market Opportunity MHK Energy Site Identification - Wave and Tidal Resources. [Data set]. MHKDR. National Renewable Energy Laboratory. https://doi.org/10.15473/1439876
Kilcher, Levi. Early Market Opportunity MHK Energy Site Identification - Wave and Tidal Resources. National Renewable Energy Laboratory, April, 1, 2016. Distributed by MHKDR. https://doi.org/10.15473/1439876
@misc{OEDI_Dataset_7843,
title = {Early Market Opportunity MHK Energy Site Identification - Wave and Tidal Resources},
author = {Kilcher, Levi},
abstractNote = {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).},
url = {https://mhkdr.openei.org/submissions/154},
year = {2016},
howpublished = {MHKDR, National Renewable Energy Laboratory, https://doi.org/10.15473/1439876},
note = {Accessed: 2025-05-20},
doi = {10.15473/1439876}
}
https://dx.doi.org/10.15473/1439876
Details
Data from Apr 1, 2016
Last updated Jul 2, 2020
Submitted Oct 12, 2016
Organization
National Renewable Energy Laboratory
Contact
Levi Kilcher
303.384.7192
Authors
Original Source
https://mhkdr.openei.org/submissions/154Research Areas
Keywords
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, oceanDOE Project Details
Project Name Early Market Opportunity Hot Spot Identification and Resource Characterization
Project Lead Joel Cline
Project Number FY16 AOP 141402
