Always private
DuckDuckGo never tracks your searches.
Learn More
You can hide this reminder in Search Settings
All regions
Argentina
Australia
Austria
Belgium (fr)
Belgium (nl)
Brazil
Bulgaria
Canada (en)
Canada (fr)
Catalonia
Chile
China
Colombia
Croatia
Czech Republic
Denmark
Estonia
Finland
France
Germany
Greece
Hong Kong
Hungary
Iceland
India (en)
Indonesia (en)
Ireland
Israel (en)
Italy
Japan
Korea
Latvia
Lithuania
Malaysia (en)
Mexico
Netherlands
New Zealand
Norway
Pakistan (en)
Peru
Philippines (en)
Poland
Portugal
Romania
Russia
Saudi Arabia
Singapore
Slovakia
Slovenia
South Africa
Spain (ca)
Spain (es)
Sweden
Switzerland (de)
Switzerland (fr)
Taiwan
Thailand (en)
Turkey
Ukraine
United Kingdom
US (English)
US (Spanish)
Vietnam (en)
Safe search: moderate
Strict
Moderate
Off
Any time
Any time
Past day
Past week
Past month
Past year
  1. sciencedirect.com

    The spatial data fusion aimed to project the onshore measurements to offshore locations in light of numerical simulations, to reduce the cost of direct offshore measurements. The first and last offshore and onshore points in the 36 dual-Doppler line were considered as an example.
    Author:Basem Elshafei, Alfredo Peña, Dong Xu, Jie Ren, Jake Badger, Felipe M. Pimenta, Donald Giddings, Xue...Published:2021
  2. sciencedirect.com

    Measurements by lidars are a source of high-fidelity data. However, they are expensive and sparse in space and time. Contrarily, Weather Research and Forecasting models generate continuous data with relatively low fidelity. We propose a hybrid approach combining measurements and output from numerical simulations for the assessment of offshore wind.
    Author:Basem Elshafei, Alfredo Peña, Dong Xu, Jie Ren, Jake Badger, Felipe M. Pimenta, Donald Giddings, Xue...Published:2021
  3. researchgate.net

    A hybrid solution for offshore wind resource assessmen t from lim- ited onshore measurements. Basem Elshafei, Alfredo Pe˜ na, Dong Xu, Jie Ren, Jake Badger, Felipe M.
  4. backend.orbit.dtu.dk

    A hybrid solution for o shore wind resource assessment from limited onshore measurements. Basem Elshafei a, Alfredo Pena~b, Dong Xuc, Jie Ren , Jake Badgerb, Felipe M. Pimentad, Donald Giddingsa, Xuerui Maoa, aFaculty of Engineering, University of Nottingham, NG7 2RD, Nottingham, UK bDTU Wind Energy, Technical University of Denmark, Roskilde, Denmark cXinjiang Goldwind Science and Technology ...
  5. The Technical University of Denmark offered the raw data collected from LiDAR measurements and numerical simulations. Goldwind, a world leading wind turbine technology and energy solutions provider, compared the present solution with that from Windgrapher, an industrial package for wind resource assessment.
  6. webarchiv.hlrs.de

    A hybrid solution for wind resource assessment - predict offshore wind from limited onshore measurements Xuerui Mao, Basem Elshafei, Jie Ren University of Nottingham Alfredo Pena, Jake Badger Technical University of Denmark H2020 the future and emerging technologies programme with agreement No. 828799.
  7. semanticscholar.org

    DOI: 10.1016/J.APENERGY.2021.117245 Corpus ID: 236289926; A hybrid solution for offshore wind resource assessment from limited onshore measurements @article{Elshafei2021AHS, title={A hybrid solution for offshore wind resource assessment from limited onshore measurements}, author={Basem Elshafei and Alfredo Pe{\~n}a and Dong-Hong Xu and Jie Ren and Jake Badger and Felipe Mendonça Pimenta and ...
  8. ui.adsabs.harvard.edu

    In wind resource assessments, which are critical to the pre-construction of wind farms, measurements by LiDARs or masts are a source of high-fidelity data, but are expensive and scarce in space and time, particularly for offshore sites. On the other hand, numerical simulations, using for example the Weather Research and Forecasting (WRF) model, generate temporally and spatially continuous data ...
  9. sciencedirect.com

    Nov 30, 2024A hybrid solution for offshore wind resource assessment from limited onshore measurements. Appl Energy, 298 (2021), Article 117245, 10.1016/j.apenergy.2021.117245. ISSN 0306 2619. View PDF View article View in Scopus Google Scholar [28] Huang L., Li L., Wei X., et al.
  10. orbit.dtu.dk

    A hybrid solution for offshore wind resource assessment from limited onshore measurements. / Elshafei, Basem; Peña, Alfredo; Xu, Dong et al. In: Applied Energy, Vol. 298, 117245, 2021. Research output: Contribution to journal › Journal article › Research › peer-review

    Can’t find what you’re looking for?

    Help us improve DuckDuckGo searches with your feedback

Custom date rangeX