Improved Offshore Wind Resource Assessment in Global Climate Stabilization Scenarios
Abstract
This paper introduces a technique for digesting geospatial wind-speed data into areally defined -- country-level, in this case -- wind resource supply curves. We combined gridded wind-vector data for ocean areas with bathymetry maps, country exclusive economic zones, wind turbine power curves, and other datasets and relevant parameters to build supply curves that estimate a country's offshorewind resource defined by resource quality, depth, and distance-from-shore. We include a single set of supply curves -- for a particular assumption set -- and study some implications of including it in a global energy model. We also discuss the importance of downscaling gridded wind vector data to capturing the full resource potential, especially over land areas with complex terrain. This paperincludes motivation and background for a statistical downscaling methodology to account for terrain effects with a low computational burden. Finally, we use this forum to sketch a framework for building synthetic electric networks to estimate transmission accessibility of renewable resource sites in remote areas.
- Authors:
- Publication Date:
- Research Org.:
- National Renewable Energy Lab. (NREL), Golden, CO (United States)
- Sponsoring Org.:
- USDOE Office of Energy Efficiency and Renewable Energy Analysis and Evaluation
- OSTI Identifier:
- 1055364
- Report Number(s):
- NREL/TP-6A20-55049
- DOE Contract Number:
- AC36-08GO28308
- Resource Type:
- Technical Report
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 17 WIND ENERGY; 54 ENVIRONMENTAL SCIENCES; onshore wind; offshore wind; wind resource assessment; climate change; supply curves
Citation Formats
Arent, Doug, Sullivan, Patrick, Heimiller, Donna, Lopez, Anthony, Eurek, Kelly, Badger, Jake, Jorgensen, Hans Ejsing, Kelly, Mark, Clarke, Leon, and Luckow, Patrick. Improved Offshore Wind Resource Assessment in Global Climate Stabilization Scenarios. United States: N. p., 2012.
Web. doi:10.2172/1055364.
Arent, Doug, Sullivan, Patrick, Heimiller, Donna, Lopez, Anthony, Eurek, Kelly, Badger, Jake, Jorgensen, Hans Ejsing, Kelly, Mark, Clarke, Leon, & Luckow, Patrick. Improved Offshore Wind Resource Assessment in Global Climate Stabilization Scenarios. United States. https://doi.org/10.2172/1055364
Arent, Doug, Sullivan, Patrick, Heimiller, Donna, Lopez, Anthony, Eurek, Kelly, Badger, Jake, Jorgensen, Hans Ejsing, Kelly, Mark, Clarke, Leon, and Luckow, Patrick. 2012.
"Improved Offshore Wind Resource Assessment in Global Climate Stabilization Scenarios". United States. https://doi.org/10.2172/1055364. https://www.osti.gov/servlets/purl/1055364.
@article{osti_1055364,
title = {Improved Offshore Wind Resource Assessment in Global Climate Stabilization Scenarios},
author = {Arent, Doug and Sullivan, Patrick and Heimiller, Donna and Lopez, Anthony and Eurek, Kelly and Badger, Jake and Jorgensen, Hans Ejsing and Kelly, Mark and Clarke, Leon and Luckow, Patrick},
abstractNote = {This paper introduces a technique for digesting geospatial wind-speed data into areally defined -- country-level, in this case -- wind resource supply curves. We combined gridded wind-vector data for ocean areas with bathymetry maps, country exclusive economic zones, wind turbine power curves, and other datasets and relevant parameters to build supply curves that estimate a country's offshorewind resource defined by resource quality, depth, and distance-from-shore. We include a single set of supply curves -- for a particular assumption set -- and study some implications of including it in a global energy model. We also discuss the importance of downscaling gridded wind vector data to capturing the full resource potential, especially over land areas with complex terrain. This paperincludes motivation and background for a statistical downscaling methodology to account for terrain effects with a low computational burden. Finally, we use this forum to sketch a framework for building synthetic electric networks to estimate transmission accessibility of renewable resource sites in remote areas.},
doi = {10.2172/1055364},
url = {https://www.osti.gov/biblio/1055364},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon Oct 01 00:00:00 EDT 2012},
month = {Mon Oct 01 00:00:00 EDT 2012}
}