Description |
1 online resource (xii, 48 pages) : color illustrations, color maps. |
|
text txt rdacontent |
|
computer c rdamedia |
|
online resource cr rdacarrier |
Series |
NREL/TP ; 5000-75209 |
|
NREL/TP ; 5000-75209.
|
Note |
"February 2020." |
Bibliography |
Includes bibliographical references (page 48). |
Type Of Report |
Strategic parnership project report. |
Funding |
DE-AC36-08GO28308 |
|
New Jersey Board of Public Utilities FIA-18-01872 |
Note |
Description based on online resource; title from PDF title page (NREL, viewed on August 12, 2020). |
Summary |
The Rutgers University Center for Ocean Observing Leadership (RU-COOL) contracted the National Renewable Energy Laboratory (NREL) to evaluate RU-COOL's atmospheric observation and modeling capabilities for characterizing the New Jersey offshore wind resource. The observational network used by RU-COOL consists of mostly public but some private coastal and offshore buoy-based stations. The core wind resource modeling capability of RU-COOL is a custom setup of the Weather Research and Forecasting (WRF) mesoscale model, referred to in this report as RU-WRF. The most unique feature of RU-WRF and not found in other WRF model setups is the use of custom sea surface temperature (SST) product generated by RU-COOL. This custom product was designed to better capture the unique coastal upwelling and strong storm mixing in the Mid-Atlantic Bight, which other typical SST products are not designed to capture. Funding for the development, maintenance, and use of RU-WRF by RU-COOL is provided by the New Jersey Board of Public Utilities, who also funded the validation work presented in this report. In this validation study, NREL was specifically tasked to: 1) Assess the observational network used by RU-COOL to validate RU-WRF and make recommendations for improvement, 2) Assess methods used by RU-COOL to validate RU-WRF and make recommendations for improvement, 3) Examine the inputs to and setup within RU-WRF, compare against available NREL data sets, and make recommendations for improvement. |
Subject |
Wind power plants -- New Jersey -- Computer simulation.
|
|
Wind power -- New Jersey -- Computer simulation.
|
|
Centrales éoliennes -- New Jersey -- Simulation par ordinateur.
|
|
Énergie éolienne -- New Jersey -- Simulation par ordinateur.
|
|
Wind power -- Computer simulation
(OCoLC)fst01175631
|
|
New Jersey (OCoLC)fst01208379 https://id.oclc.org/worldcat/entity/E39PBJx4kQMRb7rwyH74JVdbBP
|
Indexed Term |
mesoscale |
|
offshore wind energy |
|
RU-COOL |
|
weather research and forecasting |
|
WRF |
Added Author |
National Renewable Energy Laboratory (U.S.), issuing body.
|
|
New Jersey. Board of Public Utilities.
|
|
Rutgers University.
|
Added Title |
Validation of Rutgers University-weather research and forecasting, the custom atmospheric mesoscale model of the Rutgers Center for Ocean Observing Leadership |
Standard No. |
1599576 OSTI ID |
|
0000-0001-5617-6134 |
|
0000-0002-7983-3050 |
|
0000-0002-9446-4310 |
|
0000-0001-7122-5993 |
Gpo Item No. |
0430-P-03 (online) |
Sudoc No. |
E 9.16:NREL/TP-5000-75209 |
|