Normalized performance and load data for the deepwind demonstrator in controlled conditions

Performance and load normalized coefficients, deriving from an experimental campaign of measurements conducted at the large scale wind tunnel of the Politecnico di Milano (Italy), are presented with the aim of providing useful benchmark data for the validation of numerical codes. Rough data, derived...

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Detalles Bibliográficos
Autores principales: Battisti, L., Benini, E., Brighenti, A., Castelli, M. Raciti, Dell’Anna, S., Dossena, V., Persico, G., Paulsen, U. Schmidt, Pedersen, T.F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2016
Materias:
Engineering
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6328930/
https://www.ncbi.nlm.nih.gov/pubmed/30656205
http://dx.doi.org/10.1016/j.dib.2016.07.029
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author Battisti, L.
Benini, E.
Brighenti, A.
Castelli, M. Raciti
Dell’Anna, S.
Dossena, V.
Persico, G.
Paulsen, U. Schmidt
Pedersen, T.F.
author_facet Battisti, L.
Benini, E.
Brighenti, A.
Castelli, M. Raciti
Dell’Anna, S.
Dossena, V.
Persico, G.
Paulsen, U. Schmidt
Pedersen, T.F.
author_sort Battisti, L.
collection PubMed
description Performance and load normalized coefficients, deriving from an experimental campaign of measurements conducted at the large scale wind tunnel of the Politecnico di Milano (Italy), are presented with the aim of providing useful benchmark data for the validation of numerical codes. Rough data, derived from real scale measurements on a three-bladed Troposkien vertical-axis wind turbine, are manipulated in a convenient form to be easily compared with the typical outputs provided by simulation codes. The here proposed data complement and support the measurements already presented in “Wind Tunnel Testing of the DeepWind Demonstrator in Design and Tilted Operating Conditions” (Battisti et al., 2016) [1].
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spelling pubmed-63289302019-01-17 Normalized performance and load data for the deepwind demonstrator in controlled conditions Battisti, L. Benini, E. Brighenti, A. Castelli, M. Raciti Dell’Anna, S. Dossena, V. Persico, G. Paulsen, U. Schmidt Pedersen, T.F. Data Brief Engineering Performance and load normalized coefficients, deriving from an experimental campaign of measurements conducted at the large scale wind tunnel of the Politecnico di Milano (Italy), are presented with the aim of providing useful benchmark data for the validation of numerical codes. Rough data, derived from real scale measurements on a three-bladed Troposkien vertical-axis wind turbine, are manipulated in a convenient form to be easily compared with the typical outputs provided by simulation codes. The here proposed data complement and support the measurements already presented in “Wind Tunnel Testing of the DeepWind Demonstrator in Design and Tilted Operating Conditions” (Battisti et al., 2016) [1]. Elsevier 2016-07-20 /pmc/articles/PMC6328930/ /pubmed/30656205 http://dx.doi.org/10.1016/j.dib.2016.07.029 Text en © 2016 The Authors. Published by Elsevier Inc. http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Engineering
Battisti, L.
Benini, E.
Brighenti, A.
Castelli, M. Raciti
Dell’Anna, S.
Dossena, V.
Persico, G.
Paulsen, U. Schmidt
Pedersen, T.F.
Normalized performance and load data for the deepwind demonstrator in controlled conditions
title Normalized performance and load data for the deepwind demonstrator in controlled conditions
title_full Normalized performance and load data for the deepwind demonstrator in controlled conditions
title_fullStr Normalized performance and load data for the deepwind demonstrator in controlled conditions
title_full_unstemmed Normalized performance and load data for the deepwind demonstrator in controlled conditions
title_short Normalized performance and load data for the deepwind demonstrator in controlled conditions
title_sort normalized performance and load data for the deepwind demonstrator in controlled conditions
topic Engineering
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6328930/
https://www.ncbi.nlm.nih.gov/pubmed/30656205
http://dx.doi.org/10.1016/j.dib.2016.07.029
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