Zobrazeno 1 - 10
of 49 311
pro vyhledávání: '"P. Fleming"'
Publikováno v:
Wind Energy Science, Vol 9, Pp 219-234 (2024)
Wind farm flow control represents a category of control strategies for achieving wind-plant-level objectives, such as increasing wind plant power production and/or reducing structural loads, by mitigating the impact of wake interactions between wind
Externí odkaz:
https://doaj.org/article/a57db037dd684094bf45275e701a109e
Autor:
A. Das, G. Ariyakumar, N. Gupta, S. Kamdar, A. Barugahare, D. Deveson-Lucas, S. Gee, K. Costeloe, M. S. Davey, P. Fleming, D. L. Gibbons
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-15 (2024)
Abstract Bacterial infections are a major cause of mortality in preterm babies, yet our understanding of early-life disease-associated immune dysregulation remains limited. Here, we combine multi-parameter flow cytometry, single-cell RNA sequencing a
Externí odkaz:
https://doaj.org/article/cf8475e2ea90428da183505fc8574ce4
Publikováno v:
Wind Energy Science, Vol 8, Pp 1341-1350 (2023)
Layout design and wake steering through wind plant control are important and complex components in the design and operation of modern wind power plants. They are currently optimized separately, but with more and more computational and experimental st
Externí odkaz:
https://doaj.org/article/ea838cdf94b24fc593a3e78370faa9f6
Publikováno v:
Wind Energy Science, Vol 8, Pp 401-419 (2023)
Wind farm design and analysis heavily rely on computationally efficient engineering models that are evaluated many times to find an optimal solution. A recent article compared the state-of-the-art Gauss-curl hybrid (GCH) model to historical data of t
Externí odkaz:
https://doaj.org/article/676f83f2da064376af4a5c2708fb70e9
Autor:
J. Meyers, C. Bottasso, K. Dykes, P. Fleming, P. Gebraad, G. Giebel, T. Göçmen, J.-W. van Wingerden
Publikováno v:
Wind Energy Science, Vol 7, Pp 2271-2306 (2022)
Wind farm control has been a topic of research for more than two decades. It has been identified as a core component of grand challenges in wind energy science to support accelerated wind energy deployment and to transition to a clean and sustainable
Externí odkaz:
https://doaj.org/article/4846ebd7f7cf4732b040120a962aa3bf
Publikováno v:
Wind Energy Science, Vol 7, Pp 741-757 (2022)
In wind plants, turbines can be yawed into the wind to steer their wakes away from downstream turbines and achieve an overall increase in plant power. Mathematical optimization is typically used to determine the best yaw angles at which to operate th
Externí odkaz:
https://doaj.org/article/af94cfce37ee4a84b6ff4f119fadb013
Publikováno v:
Wind Energy Science, Vol 6, Pp 1521-1531 (2021)
In this article, the authors present a test of wake steering at a commercial wind farm. A single fixed yaw offset, rather than an optimized offset schedule, is alternately applied to an upstream wind turbine, and the effect on downstream turbines is
Externí odkaz:
https://doaj.org/article/e933a1cb0118409aa4aec0968c2a58ed
Publikováno v:
Wind Energy Science, Vol 6, Pp 1427-1453 (2021)
Wake steering is a wind farm control strategy in which upstream wind turbines are misaligned with the wind to redirect their wakes away from downstream turbines, thereby increasing the net wind plant power production and reducing fatigue loads genera
Externí odkaz:
https://doaj.org/article/8b4e3ac5dec843078a756b5cf6b4e4b8
Autor:
Nell, Nicholas, France, Kevin, Kruczek, Nicholas, Fleming, Brian, Ulrich, Stefan, Behr, Patrick, Quijada, Manuel A., Del Hoyo, Javier, Hennessy, John
Publikováno v:
Journal of Astronomical Telescopes, Instruments, and Systems, Vol. 10, Issue 3, 035003 (September 2024)
The Suborbital Imaging Spectrograph for Transition region Irradiance from Nearby Exoplanet host stars (SISTINE) is a rocket-borne ultraviolet (UV) imaging spectrograph designed to probe the radiation environment of nearby stars. SISTINE operates over
Externí odkaz:
http://arxiv.org/abs/2410.02893
Learning from multimodal datasets can leverage complementary information and improve performance in prediction tasks. A commonly used strategy to account for feature correlations in high-dimensional datasets is the latent variable approach. Several l
Externí odkaz:
http://arxiv.org/abs/2409.20559