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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.
Afiliación
  • Battisti L; Dipartimento di Ingegneria Civile Ambientale e Meccanica, Università di Trento, Italy.
  • Benini E; Dipartimento di Ingegneria Civile Ambientale e Meccanica, Università di Trento, Italy.
  • Brighenti A; Dipartimento di Ingegneria Civile Ambientale e Meccanica, Università di Trento, Italy.
  • Castelli MR; Dipartimento di Ingegneria Civile Ambientale e Meccanica, Università di Trento, Italy.
  • Dell'Anna S; Dipartimento di Ingegneria Civile Ambientale e Meccanica, Università di Trento, Italy.
  • Dossena V; Dipartimento di Energia, Politecnico di Milano, Italy.
  • Persico G; Dipartimento di Energia, Politecnico di Milano, Italy.
  • Paulsen US; Technical University of Denmark, Risø Campus, Roskilde, Denmark.
  • Pedersen TF; Technical University of Denmark, Risø Campus, Roskilde, Denmark.
Data Brief ; 8: 1120-1126, 2016 Sep.
Article en En | MEDLINE | ID: mdl-30656205
ABSTRACT
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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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Data Brief Año: 2016 Tipo del documento: Article País de afiliación: Italia

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Data Brief Año: 2016 Tipo del documento: Article País de afiliación: Italia
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