Zobrazeno 1 - 10
of 171
pro vyhledávání: '"Alfredo Peña"'
Publikováno v:
Wind Energy, Vol 25, Iss 12, Pp 2036-2051 (2022)
Abstract Many wind energy projects start with resource assessments based on outputs from numerical models followed by meteorological campaigns. These models are imperfect and have a substantial input parameter space. It is difficult to discern how th
Externí odkaz:
https://doaj.org/article/af1a5f24b33a41e19614ee76e686b922
Publikováno v:
Remote Sensing, Vol 15, Iss 10, p 2660 (2023)
We revisit two recent methodologies based on Monin–Obukhov Similarity Theory (MOST), the 2D method and Hybrid-Wind (HW), which are aimed at estimation of the Obukhov length, friction velocity and kinematic heat flux within the surface layer. Both m
Externí odkaz:
https://doaj.org/article/28760fc4b77c4f1b84797313be8f14f1
Publikováno v:
Remote Sensing, Vol 14, Iss 23, p 6065 (2022)
Estimates of atmospheric turbulence performed by both fixed and floating vertically profiling, conically scanning wind lidars are affected by the measurement volume and turbulence structure, among others. We study this phenomenon by simulating the li
Externí odkaz:
https://doaj.org/article/df877964aec04226bb8d84818e5cc22d
Autor:
Aslak Harbo Poulsen, Ole Raaschou-Nielsen, Alfredo Peña, Andrea N. Hahmann, Rikke Baastrup Nordsborg, Matthias Ketzel, Jørgen Brandt, Mette Sørensen
Publikováno v:
Environment International, Vol 121, Iss , Pp 207-215 (2018)
Noise from wind turbines (WTs) has been reported more annoying than traffic noise at similar levels, and concerns have been raised about whether WT noise (WTN) can increase risk for cardiovascular disease. We aimed to investigate if long-term exposur
Externí odkaz:
https://doaj.org/article/89b7e9028a854fc0838eaa117965c1be
Autor:
Marcos Paulo Araújo da Silva, Francesc Rocadenbosch, Joan Farré-Guarné, Andreu Salcedo-Bosch, Daniel González-Marco, Alfredo Peña
Publikováno v:
Remote Sensing, Vol 14, Iss 6, p 1394 (2022)
This work presents a parametric-solver algorithm for estimating atmospheric stability and friction velocity from floating Doppler wind lidar (FDWL) observations close to the mast of IJmuiden in the North Sea. The focus of the study was two-fold: (i)
Externí odkaz:
https://doaj.org/article/e0284ef375214b81931eed70c6dee7ff
Autor:
Pedro Quiroga-Novoa, Gabriel Cuevas-Figueroa, José Luis Preciado, Rogier Floors, Alfredo Peña, Oliver Probst
Publikováno v:
Energies, Vol 14, Iss 14, p 4364 (2021)
Wind turbines are often placed in complex terrains, where benefits from orography-related speed up can be capitalized. However, accurately modeling the wind resource over the extended areas covered by a typical wind farm is still challenging over a f
Externí odkaz:
https://doaj.org/article/d0788a6d0570472d8be6ad3cf3d40247
Publikováno v:
Atmosphere, Vol 12, Iss 6, p 672 (2021)
It is well known that when eddies are small, the eddy fluxes can be directly related to the mean vertical gradients, the so-called flux-gradient relation, but such a relation becomes weaker the larger the coherent structures. Here, we show that this
Externí odkaz:
https://doaj.org/article/220144d3bd4a4d7fbd7aef2a0fa07691
Publikováno v:
Meteorologische Zeitschrift, Vol 24, Iss 6, Pp 581-589 (2015)
Here we describe a nearly 1-yr meteorological campaign, which was carried out at the FINO3 marine research platform on the German North Sea, where a pulsed wind lidar and a ceilometer were installed besides the platform's 105-m tower and measured win
Externí odkaz:
https://doaj.org/article/c1daa6c9f23c4b05a23b86f7ed973b11
Autor:
Charlotte Bay Hasager, Pauline Vincent, Jake Badger, Merete Badger, Alessandro Di Bella, Alfredo Peña, Romain Husson, Patrick J. H. Volker
Publikováno v:
Energies, Vol 8, Iss 6, Pp 5413-5439 (2015)
Offshore wind farm cluster effects between neighboring wind farms increase rapidly with the large-scale deployment of offshore wind turbines. The wind farm wakes observed from Synthetic Aperture Radar (SAR) are sometimes visible and atmospheric and w
Externí odkaz:
https://doaj.org/article/149f55c7cc16422e849c58285064ba9f
Autor:
Alfredo Peña, Jakob Mann
Publikováno v:
Remote Sensing, Vol 11, Iss 20, p 2444 (2019)
Velocity-component variances can be directly computed from lidar measurements using information of the second-order statistics within the lidar probe volume. Specifically, by using the Doppler radial velocity spectrum, one can estimate the unfiltered
Externí odkaz:
https://doaj.org/article/77169615775444e0a9c419ce37797a02