Zobrazeno 1 - 10
of 131
pro vyhledávání: '"A. N. Hahmann"'
Publikováno v:
Wind Energy Science, Vol 9, Pp 963-979 (2024)
Wind farm parameterizations (WFPs) are used in mesoscale models for predicting wind farm power production and its impact on wind resources while considering the variability of the regional wind climate. However, the performance of WFPs is influenced
Externí odkaz:
https://doaj.org/article/265c54b4c55d48ad8a998e1679697ad1
Publikováno v:
Wind Energy Science, Vol 7, Pp 2373-2391 (2022)
We explore the changes in wind energy resources in northern Europe using output from historical to mid-21st century CMIP6 simulations and the high-emission SSP5-8.5 scenario. This study improves upon many assumptions made in the past. First, we inter
Externí odkaz:
https://doaj.org/article/7f77470142ae49248f3c525b24f0f09f
Publikováno v:
Wind Energy Science, Vol 7, Pp 2255-2270 (2022)
As wind energy increases its share of total electricity generation and its integration into the power system becomes more challenging, accurately representing the spatio-temporal variability in wind data becomes crucial. Wind fluctuations impact powe
Externí odkaz:
https://doaj.org/article/deb22b8deecf4d48a00a73f5542dc6bc
Autor:
M. Dörenkämper, B. T. Olsen, B. Witha, A. N. Hahmann, N. N. Davis, J. Barcons, Y. Ezber, E. García-Bustamante, J. F. González-Rouco, J. Navarro, M. Sastre-Marugán, T. Sīle, W. Trei, M. Žagar, J. Badger, J. Gottschall, J. Sanz Rodrigo, J. Mann
Publikováno v:
Geoscientific Model Development, Vol 13, Pp 5079-5102 (2020)
This is the second of two papers that document the creation of the New European Wind Atlas (NEWA). In Part 1, we described the sensitivity experiments and accompanying evaluation done to arrive at the final mesoscale model setup used to produce the m
Externí odkaz:
https://doaj.org/article/0514f5ad3ad043eb8dfeb3b9b6e393e9
Autor:
A. N. Hahmann, T. Sīle, B. Witha, N. N. Davis, M. Dörenkämper, Y. Ezber, E. García-Bustamante, J. F. González-Rouco, J. Navarro, B. T. Olsen, S. Söderberg
Publikováno v:
Geoscientific Model Development, Vol 13, Pp 5053-5078 (2020)
This is the first of two papers that document the creation of the New European Wind Atlas (NEWA). It describes the sensitivity analysis and evaluation procedures that formed the basis for choosing the final setup of the mesoscale model simulations of
Externí odkaz:
https://doaj.org/article/4fb028daeda04dd88058d74d3db033f1
Publikováno v:
Wind Energy Science, Vol 5, Pp 375-390 (2020)
Europe's offshore wind resource mapping is part of the New European Wind Atlas (NEWA) international consortium effort. This study presents the results of analysis of synthetic aperture radar (SAR) ocean wind maps based on Envisat and Sentinel-1 with
Externí odkaz:
https://doaj.org/article/f3fb84575c0f48be9c452d9b8c973787
Publikováno v:
Wind Energy Science, Vol 3, Pp 681-691 (2018)
The wake of a single wind turbine in complex terrain is analysed using measurements from lidars. A particular focus of this analysis is the wake deficit and propagation. Six scanning lidars (three short-range and three long-range WindScanners) wer
Externí odkaz:
https://doaj.org/article/4eb6977727d442deaad2f28bb242b77c
Publikováno v:
Wind Energy Science, Vol 2, Pp 211-228 (2017)
Understanding uncertainties in wind resource assessment associated with the use of the output from numerical weather prediction (NWP) models is important for wind energy applications. A better understanding of the sources of error reduces risk and
Externí odkaz:
https://doaj.org/article/ff95b73c1b8b48d6a602d3b07b57ff3c
Publikováno v:
Geoscientific Model Development, Vol 8, Iss 11, Pp 3715-3731 (2015)
We describe the theoretical basis, implementation, and validation of a new parametrisation that accounts for the effect of large offshore wind farms on the atmosphere and can be used in mesoscale and large-scale atmospheric models. This new parame
Externí odkaz:
https://doaj.org/article/0a011134effd4125bb7980e9f5f45ce3
Publikováno v:
Advances in Science and Research, Vol 6, Pp 155-159 (2011)
Wind profiles up to 600 m height are investigated. Measurements of mean wind speed profiles were obtained from a novel wind lidar and compared to model simulations from a mesoscale model (WRF-ARW v3.1). It is found that WRF is able to predict the mea
Externí odkaz:
https://doaj.org/article/3772e8559a164203a3678df5462504af