Zobrazeno 1 - 10
of 269
pro vyhledávání: '"C. Draxl"'
Autor:
N. Bodini, M. Optis, S. Redfern, D. Rosencrans, A. Rybchuk, J. K. Lundquist, V. Pronk, S. Castagneri, A. Purkayastha, C. Draxl, R. Krishnamurthy, E. Young, B. Roberts, E. Rosenlieb, W. Musial
Publikováno v:
Earth System Science Data, Vol 16, Pp 1965-2006 (2024)
This article introduces the 2023 National Offshore Wind data set (NOW-23), which offers the latest wind resource information for offshore regions in the United States. NOW-23 supersedes, for its offshore component, the Wind Integration National Datas
Externí odkaz:
https://doaj.org/article/d1d6ef4ae9a74a67984bf62fb8c710c3
Autor:
S. E. Haupt, B. Kosović, L. K. Berg, C. M. Kaul, M. Churchfield, J. Mirocha, D. Allaerts, T. Brummet, S. Davis, A. DeCastro, S. Dettling, C. Draxl, D. J. Gagne, P. Hawbecker, P. Jha, T. Juliano, W. Lassman, E. Quon, R. K. Rai, M. Robinson, W. Shaw, R. Thedin
Publikováno v:
Wind Energy Science, Vol 8, Pp 1251-1275 (2023)
The Mesoscale to Microscale Coupling team, part of the U.S. Department of Energy Atmosphere to Electrons (A2e) initiative, has studied various important challenges related to coupling mesoscale models to microscale models for the use case of wind ene
Externí odkaz:
https://doaj.org/article/0386f7d030124e3b9d38e0b44ff989bf
Publikováno v:
Wind Energy Science, Vol 8, Pp 1-23 (2023)
As offshore wind farm development expands, accurate wind resource forecasting over the ocean is needed. One important yet relatively unexplored aspect of offshore wind resource assessment is the role of sea surface temperature (SST). Models are gener
Externí odkaz:
https://doaj.org/article/aa47bfe789764b508e9112998118cd4c
Autor:
W. J. Shaw, L. K. Berg, M. Debnath, G. Deskos, C. Draxl, V. P. Ghate, C. B. Hasager, R. Kotamarthi, J. D. Mirocha, P. Muradyan, W. J. Pringle, D. D. Turner, J. M. Wilczak
Publikováno v:
Wind Energy Science, Vol 7, Pp 2307-2334 (2022)
With the increasing level of offshore wind energy investment, it is correspondingly important to be able to accurately characterize the wind resource in terms of energy potential as well as operating conditions affecting wind plant performance, maint
Externí odkaz:
https://doaj.org/article/2ec03064d9104777b9647cca9bdd1035
Publikováno v:
Wind Energy Science, Vol 7, Pp 815-829 (2022)
With the planned construction of vast offshore wind farms along the US East Coast, identifying and understanding key coastal processes, such as sea breezes, has become a critical need for the sustainability and development of US offshore wind energy.
Externí odkaz:
https://doaj.org/article/1acf4d734448487d9bf6d64e900d462f
Autor:
V. Pronk, N. Bodini, M. Optis, J. K. Lundquist, P. Moriarty, C. Draxl, A. Purkayastha, E. Young
Publikováno v:
Wind Energy Science, Vol 7, Pp 487-504 (2022)
Mesoscale numerical weather prediction (NWP) models are generally considered more accurate than reanalysis products in characterizing the wind resource at heights of interest for wind energy, given their finer spatial resolution and more comprehensiv
Externí odkaz:
https://doaj.org/article/4a9d33044f7745e1b036c72b9393e048
Publikováno v:
Wind Energy Science, Vol 6, Pp 737-758 (2021)
Methods of turbine wake modeling are being developed to more accurately account for spatially variant atmospheric conditions within wind farms. Most current wake modeling utilities are designed to apply a uniform flow field to the entire domain of a
Externí odkaz:
https://doaj.org/article/0c5f8b84352f4eddb20e24f736f69e17
Autor:
C. Draxl, R. P. Worsnop, G. Xia, Y. Pichugina, D. Chand, J. K. Lundquist, J. Sharp, G. Wedam, J. M. Wilczak, L. K. Berg
Publikováno v:
Wind Energy Science, Vol 6, Pp 45-60 (2021)
Mountains can modify the weather downstream of the terrain. In particular, when stably stratified air ascends a mountain barrier, buoyancy perturbations develop. These perturbations can trigger mountain waves downstream of the mountains that can reac
Externí odkaz:
https://doaj.org/article/662a3148f31d4eeab0bdf40bc9fe3c72
Publikováno v:
Wind Energy Science, Vol 5, Pp 1191-1210 (2020)
We present the first synthetic aperture radar (SAR) offshore wind atlas of the US East Coast from Georgia to the Canadian border. Images from RADARSAT-1, Envisat, and Sentinel-1A/B are processed to wind maps using the geophysical model function (GMF)
Externí odkaz:
https://doaj.org/article/f94cb457fbc146eea0d2df92f43a323f
Autor:
J. D. Mirocha, M. J. Churchfield, D. Muñoz-Esparza, R. K. Rai, Y. Feng, B. Kosović, S. E. Haupt, B. Brown, B. L. Ennis, C. Draxl, J. Sanz Rodrigo, W. J. Shaw, L. K. Berg, P. J. Moriarty, R. R. Linn, V. R. Kotamarthi, R. Balakrishnan, J. W. Cline, M. C. Robinson, S. Ananthan
Publikováno v:
Wind Energy Science, Vol 3, Pp 589-613 (2018)
The sensitivities of idealized large-eddy simulations (LESs) to variations of model configuration and forcing parameters on quantities of interest to wind power applications are examined. Simulated wind speed, turbulent fluxes, spectra and cospect
Externí odkaz:
https://doaj.org/article/176bb8c7c672482690e2fbd24e16d2a7