Offshore Wind Resource Assessment in Rhode Island Waters

2013 ◽  
Vol 37 (6) ◽  
pp. 579-594 ◽  
Author(s):  
Annette R. Grilli ◽  
Malcolm L. Spaulding
2021 ◽  
Vol 298 ◽  
pp. 117245
Author(s):  
Basem Elshafei ◽  
Alfredo Peña ◽  
Dong Xu ◽  
Jie Ren ◽  
Jake Badger ◽  
...  

2019 ◽  
Vol 232 ◽  
pp. 111316 ◽  
Author(s):  
Merete Badger ◽  
Tobias Ahsbahs ◽  
Petr Maule ◽  
Ioanna Karagali

2015 ◽  
Vol 168 ◽  
pp. 349-359 ◽  
Author(s):  
Paula Doubrawa ◽  
Rebecca J. Barthelmie ◽  
Sara C. Pryor ◽  
Charlotte B. Hasager ◽  
Merete Badger ◽  
...  

Wind Energy ◽  
2007 ◽  
Vol 10 (2) ◽  
pp. 121-134 ◽  
Author(s):  
Barbara Jimenez ◽  
Francesco Durante ◽  
Bernhard Lange ◽  
Torsten Kreutzer ◽  
Jens Tambke

Energies ◽  
2019 ◽  
Vol 12 (14) ◽  
pp. 2780
Author(s):  
Jared A. Lee ◽  
Paula Doubrawa ◽  
Lulin Xue ◽  
Andrew J. Newman ◽  
Caroline Draxl ◽  
...  

Offshore wind resource assessments for the conterminous U.S. and Hawai’i have been developed before, but Alaska’s offshore wind resource has never been rigorously assessed. Alaska, with its vast coastline, presents ample potential territory in which to build offshore wind farms, but significant challenges have thus far limited Alaska’s deployment of utility-scale wind energy capacity to a modest 62 MW (or approximately 2.7% of the state’s electric generation) as of this writing, all in land-based wind farms. This study provides an assessment of Alaska’s offshore wind resource, the first such assessment for Alaska, using a 14-year, high-resolution simulation from a numerical weather prediction and regional climate model. This is the longest-known high-resolution model data set to be used in a wind resource assessment. Widespread areas with relatively shallow ocean depth and high long-term average 100-m wind speeds and estimated net capacity factors over 50% were found, including a small area near Alaska’s population centers and the largest transmission grid that, if even partially developed, could provide the bulk of the state’s energy needs. The regional climate simulations were validated against available radiosonde and surface wind observations to provide the confidence of the model-based assessment. The model-simulated wind speed was found to be skillful and with near-zero average bias (−0.4–0.2 m s−1) when averaged over the domain. Small sample sizes made regional validation noisy, however.


2012 ◽  
Author(s):  
Doug Arent ◽  
Patrick Sullivan ◽  
Donna Heimiller ◽  
Anthony Lopez ◽  
Kelly Eurek ◽  
...  

2020 ◽  
Author(s):  
Michael Optis ◽  
Oleksa Rybchuk ◽  
Nicola Bodini ◽  
Michael Rossol ◽  
Walter Musial

Author(s):  
Rachel Nicholls-Lee

With offshore wind becoming a key source of renewable energy there exists a requirement for the acquisition of meteorological information at the sites allocated for development. Installation of a conventional, static, meteorological mast is costly. Multiple masts are required to obtain data at several positions in a large offshore wind farm, which further increases the cost of gathering such data. A structure that has mobility for relocation about the site has the potential to reduce costs whilst improving data capture coverage. As such, an instrumentation platform in the form of a floating structure which can be moved easily is desirable. This work discusses the development of a low-motion, lightweight, floating platform with tunable motion response as a basis for a repositionable meteorological measurement station. Wind speed and direction measurements are acquired at a range of heights in the atmosphere through the use of a pulsed Lidar (light detection and ranging) system. The motions of the platform have been analyzed both numerically and experimentally, and the performance of the platform in a range of seas is good.


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