Zobrazeno 1 - 10
of 236
pro vyhledávání: '"Sara C. Pryor"'
Autor:
Graziella Caprarelli, David Baratoux, Cinzia Cervato, Paolo Diviacco, Alina Donea, Steven J. Fletcher, Chelle Gentemann, Helen M. Glaves, Jonathan H. Jiang, Cathleen E. Jones, Astrid Maute, Franklin P. Mills, Sara C. Pryor, Kristy Tiampo, Zunyi Xie
Publikováno v:
Earth and Space Science, Vol 11, Iss 4, Pp n/a-n/a (2024)
Abstract The Editors and Staff of Earth and Space Science thank the reviewers whose selfless work has significantly contributed to the publication process of papers highlighting the best research in geophysics, planetary, and space science in 2023. P
Externí odkaz:
https://doaj.org/article/55519733944c45eaa55de50a05d189ff
Autor:
Sara C. Pryor, Rebecca J. Barthelmie
Publikováno v:
Energies, Vol 17, Iss 5, p 1063 (2024)
There is an urgent need to develop accurate predictions of power production, wake losses and array–array interactions from multi-GW offshore wind farms in order to enable developments that maximize power benefits, minimize levelized cost of energy
Externí odkaz:
https://doaj.org/article/90ce1b06e4d2452487b912df7d009a5b
Autor:
Graziella Caprarelli, Ilkay Altintas, David Baratoux, Cinzia Cervato, Paolo Diviacco, Alina Donea, Andrea Donnellan, Chelle Gentemann, Helen M. Glaves, Jonathan H. Jiang, Cathleen E. Jones, Astrid Maute, Franklin P. Mills, Benoit Pirenne, Sara C. Pryor, Kristy Tiampo, Zunyi Xie
Publikováno v:
Earth and Space Science, Vol 10, Iss 4, Pp n/a-n/a (2023)
Externí odkaz:
https://doaj.org/article/ff540a7d22804a37b48becf06915ce35
Publikováno v:
Earth and Space Science, Vol 9, Iss 12, Pp n/a-n/a (2022)
Abstract Short‐term forecasting of wind gusts, particularly those of higher intensity, is of great societal importance but is challenging due to the presence of multiple gust generation mechanisms. Wind gust observations from eight high‐passenger
Externí odkaz:
https://doaj.org/article/68e1f62e6bcd420e93263f8db9a31d3d
Publikováno v:
Energies, Vol 16, Iss 12, p 4550 (2023)
Offshore wind energy development along the East Coast of the US is proceeding quickly as a result of large areas with an excellent wind resource, low water depths and proximity to large electricity markets. Careful planning of wind turbine deployment
Externí odkaz:
https://doaj.org/article/8fa6079fe5374f6e96f473b06cdbac36
Autor:
Fred Letson, Sara C. Pryor
Publikováno v:
Energies, Vol 16, Iss 9, p 3906 (2023)
Wind turbine blade leading-edge erosion (LEE) is a cause of increased operation and maintenance costs and decreased annual energy production. Thus, detailed, site-specific quantification of likely erosion conditions are critically needed to inform wi
Externí odkaz:
https://doaj.org/article/2074eb702dfc4487a1a428af0cd813a3
Publikováno v:
Energies, Vol 16, Iss 6, p 2820 (2023)
Wind turbine blade leading edge erosion is a major source of power production loss and early detection benefits optimization of repair strategies. Two machine learning (ML) models are developed and evaluated for automated quantification of the areal
Externí odkaz:
https://doaj.org/article/8e20c4e39ce84331b8e02fce2f9da561
Autor:
Sara C. Pryor, Rebecca J. Barthelmie, Jeremy Cadence, Ebba Dellwik, Charlotte B. Hasager, Stephan T. Kral, Joachim Reuder, Marianne Rodgers, Marijn Veraart
Publikováno v:
Energies, Vol 15, Iss 22, p 8553 (2022)
Leading edge erosion (LEE) of wind turbine blades causes decreased aerodynamic performance leading to lower power production and revenue and increased operations and maintenance costs. LEE is caused primarily by materials stresses when hydrometeors (
Externí odkaz:
https://doaj.org/article/85d10eeacd434354bdb85c9e9b076f9a
Publikováno v:
Climate, Vol 10, Iss 8, p 117 (2022)
Projected changes to the El Niño Southern Oscillation (ENSO) climate mode have been explored using global Earth system models (ESMs). Regional expressions of such changes have yet to be fully advanced and may require the use of regional downscaling.
Externí odkaz:
https://doaj.org/article/ef1122baa5524198a551c4ed04163513
Publikováno v:
Energies, Vol 15, Iss 2, p 445 (2022)
Two years of high-resolution simulations conducted with the Weather Research and Forecasting (WRF) model are used to characterize the frequency, intensity and height of low-level jets (LLJ) over the U.S. Atlantic coastal zone. Meteorological conditio
Externí odkaz:
https://doaj.org/article/ac7d87bb92be408ab3c0827477c9a7eb