1 / 12

Boundary –Layer Dispersion NOAA/ATDD - Duke Energy Cooperative Research and Development Agreement

Boundary –Layer Dispersion NOAA/ATDD - Duke Energy Cooperative Research and Development Agreement Joint Wind Energy Program: Atmospheric Velocity Gradients. Will Pendergrass NOAA/ARL/ATDD OAR Senior Research Council Meeting Oak Ridge, TN August 18-19, 2010. NOAA/DUKE CRADA.

luz
Télécharger la présentation

Boundary –Layer Dispersion NOAA/ATDD - Duke Energy Cooperative Research and Development Agreement

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Boundary –Layer Dispersion NOAA/ATDD - Duke Energy Cooperative Research and Development Agreement Joint Wind Energy Program: Atmospheric Velocity Gradients Will Pendergrass NOAA/ARL/ATDD OAR Senior Research Council Meeting Oak Ridge, TN August 18-19, 2010 Air Resources Laboratory

  2. NOAA/DUKE CRADA Science Questions Goal: Improved Forecasts of Hub Height Winds • Can the forecast of wind turbine hub-height wind speeds be improved through inclusion of near-neutral and unstable flux-gradient wind modeling techniques? • (2) What is the uncertainty associated with high resolution WRF mesoscale in both now-cast and forecast of winds at 10 m and hub-height? • (3) Does assimilation of surface energy flux measurements (heat flux, shear stress, surface roughness, displacement height, and mixed layer height) improve mesoscale forecasts through mesoscale model land surface exchange methodologies? • (4) What is the impact of spatial variability in surface energy-balance on forecasted gradient winds at 10 m and hub-height? Air Resources Laboratory

  3. NOAA/DUKE CRADA Forecast Confidence Level Air Resources Laboratory

  4. NOAA/DUKE CRADA Boundary-Layer Velocity Gradient Program Velocity Gradient Profile field measurements mesoscale modeling Phase one (1) is an evaluation of the flux gradient velocity profile technique based on directly measured surface energy balances. Phase two (2) is an evaluation of results from Phase one as implemented in the WRF model through alternative land use model parameterizations. Monin-Obukov Stability Air Resources Laboratory

  5. NOAA/DUKE CRADA Site Selection Based on conversations between NOAA/ATDD and Duke Energy, the Ocottilo wind farm was selected as the initial focused study area. During a joint site survey, NOAA/ATDD and Duke Energy engineers evaluated the Ocotillo area for installation of a NOAA 10-meter energy balance system and 30-meter wind/temperature profiling system. Additional siting was evaluated for Doppler SODAR operation, additional surface based energy-balance system, and possible radiosonde operations. Big Spring, Texas Duke Energy Ocotillo Wind Farm Prevailing winds Air Resources Laboratory

  6. NOAA/DUKE CRADA Wind Flux Profiling Tower In cooperation with Duke Energy field engineers, NOAA/ATDD install a 30-meter tower monitoring winds and temperature within the surface roughness layer. Acquired Observations 15, 30, 60 minute output u, v, w, ws, wd σu, σv ,σw, u’v’, u’w’, v’w’, T, T’2, w’T’, u’2, v’2, w’2, u run, v run, w run Air Resources Laboratory

  7. NOAA/DUKE CRADA Surface Energy Balance system In cooperation with Duke Energy field engineers, NOAA/ARL installed a 10-meter energy balance monitoring system 15, 30, 60 minute output u, v, w, ws, wd σu, σv ,σw, u’v’, u’w’, v’w’, T, T’2, w’T’, u’2, v’2, w’2, u run, v run, w run, soil temperature (5 levels), soil moisture, solar energy components, surface temperature, CO2/H2O Air Resources Laboratory

  8. NOAA/DUKE CRADA NOAA/ATDD established a web-based data management site to provide both NOAA/ATDD and Duke Energy with access to acquired measurements from both the Energy balance system Air Resources Laboratory 8

  9. NOAA/DUKE CRADA WRF Model Output Air Resources Laboratory 9

  10. NOAA/DUKE CRADA Gradient profile Requirements: U*, z0, h, z/L Evaluated Ocotillo gradient profile parameters Observed Duke Energy Ocotillo 80 m winds Air Resources Laboratory

  11. NOAA/DUKE CRADA Intercomparison of forecast/measured winds and temperature Wind Speed RTMA – red ATDD - black Temperature Wind Direction Air Resources Laboratory

  12. NOAA/DUKE CRADA Next Steps • Technical Interchange Meetings (TIMs) : Researchers from NOAA/ARL and Duke Energy have planned routine (TIMs) to review collaborative efforts (next meeting late September, 2010). • Evaluation/comparison of measured Duke Ocotillo 80-meter winds using measured e-balance surface winds and boundary layer variables using basic velocity gradient profile methodologies. • Evaluation/comparison of measured Duke Ocotillo 80-meter winds using RTMA and WRF forecast surface winds and boundary layer variables using evaluated basic velocity gradient profile methodologies. • Late Summer-2010 study intensive – measurement of vertical profiles using Doppler Sodar, evaluation of CTW lidar, and high frequency spectral wind measurements. Air Resources Laboratory 12

More Related