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).
Resources
| Name | Format | Description | Link |
|---|---|---|---|
| 'Score Site' Library | HTML | This library contains tools for performing the site-scoring and ranking described in the MHK Early Market reports. | Open resource |
| run_tide01.py | Unknown | This script is meant to be used with the 'score_site' library for calculating the results presented in the 'Tidal Early Market' report. | Open resource |
| run_wave01.py | Unknown | This script is meant to be used with the 'score_site' library for calculating the results presented in the Wave 'Early Market' report. | Open resource |
| TideData_All.xlsx | XLS | The 'Site' tab includes data on each 'site'. The 'Resource' tab includes all of the resource data. | Open resource |
| WaveData_All.xlsx | XLS | The 'Site' tab includes data on each 'locale'. The 'Resource' tab includes all of the resource data. | Open resource |
| MHK Energy Site Identification and Ranking Methodology - Wave | 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. | Open resource | |
| MHK Energy Site Identification and Ranking Methodology - Tidal | 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. | Open resource |
Tags
- analysis
- central-california
- characterization
- coastlines
- code
- data
- demand
- deployment-locations
- economics
- energy
- evaluation
- hawaii
- hydrokinetic
- identification
- long-term-planning
- marine
- market-size
- mhk
- ocean
- pacific-islands
- pacific-northwest
- power
- python
- ranking
- resource
- script
- site
- siting
- tidal
- tidal-energy
- tide
- united-states
- viability
- water-depth
- wave
- wave-power-density