The University of Southampton
University of Southampton Institutional Repository

Dataset for thesis "Effects of turbulence on the performance and wake of a model-scale wind turbine"

Dataset for thesis "Effects of turbulence on the performance and wake of a model-scale wind turbine"
Dataset for thesis "Effects of turbulence on the performance and wake of a model-scale wind turbine"
This dataset contains all the data used for the Southampton Doctoral thesis entitled : "Effects of turbulence on the performance and wake of a model-scale wind turbine". It consists of two archives: the first one, piv-insta.zip, contains the instantaneous PIV snapshots acquired in the turbine wake, while the second, data.zip, contains all other data. It is a large dataset 258Gb available on request via https://library.soton.ac.uk/datarequest.
University of Southampton
Gambuzza, Stefano
1f5bfca9-d0e8-457a-ae45-2258412f2fdf
Gambuzza, Stefano
1f5bfca9-d0e8-457a-ae45-2258412f2fdf

Gambuzza, Stefano (2022) Dataset for thesis "Effects of turbulence on the performance and wake of a model-scale wind turbine". University of Southampton doi:10.5258/SOTON/D2197 [Dataset]

Record type: Dataset

Abstract

This dataset contains all the data used for the Southampton Doctoral thesis entitled : "Effects of turbulence on the performance and wake of a model-scale wind turbine". It consists of two archives: the first one, piv-insta.zip, contains the instantaneous PIV snapshots acquired in the turbine wake, while the second, data.zip, contains all other data. It is a large dataset 258Gb available on request via https://library.soton.ac.uk/datarequest.

Text
readme.txt - Text
Available under License Creative Commons Attribution Share Alike.
Download (1kB)

More information

Published date: 24 April 2022

Identifiers

Local EPrints ID: 457491
URI: http://eprints.soton.ac.uk/id/eprint/457491
PURE UUID: 7dce8e62-4734-4160-8c09-86da4be9d739

Catalogue record

Date deposited: 09 Jun 2022 17:04
Last modified: 05 May 2023 19:35

Export record

Altmetrics

Contributors

Creator: Stefano Gambuzza

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×