Sonic anemometer wind speed field for urban wind flows around a noise barrier (acoustic screen) and weather station supplementary dataset (temperature, wind, solar)

Datacite citation style:
Chrysochoidis-Antsos, Nikolaos (2019): Sonic anemometer wind speed field for urban wind flows around a noise barrier (acoustic screen) and weather station supplementary dataset (temperature, wind, solar). Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/uuid:b878c00c-1c31-40bb-a3f4-0bed7aabb9ed
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

Delft University of Technology logo

Usage statistics

1684
views
1
citations
812
downloads

Geolocation

Multiple sonic anemometer set-up at N470/A13 intersection, Delft
lat (N): 51.99725
lon (E): 4.39033
view on openstreetmap

Time coverage

Several recorded periods through November 2016-July 2018

Licence

CC BY 4.0
An installation of 3 poles with sonic anemometers installed in different heights. The poles are installed on top of a noise barrier structure (acoustic screen obstacle). Research objective is to evaluate wind flow conditions for micro wind turbine installation on top a noise barrier. This is an experimental type of research. The data are time-stamped time series of 3 vector components (Ux,Uy,Uz). Sonic temperatures are also estimated. The sonic anemometers are named accordingly in each dataset and there is support material that explains all the coding. The dataset is valuable for wind energy engineers, infrastructure planners, atmospheric modellers, aerodynamic researchers.

History

  • 2019-03-26 first online, published, posted

Publisher

4TU.Centre for Research Data

Format

media types: application/pdf, application/vnd.openxmlformats-officedocument.spreadsheetml.sheet, application/vnd.openxmlformats-officedocument.wordprocessingml.document, application/x-7z-compressed, image/jpg, text/csv, text/plain, text/x-matlab

Organizations

TU Delft, Faculty of Mechanical, Maritime and Materials Engineering, Department of Process and Energy

DATA

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