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An Energy Potential Estimation Methodology and Novel Prototype Design for Building-Integrated Wind Turbines

  • Oscar Garcia
  • , Alain Ulazia
  • , Mario del Rio
  • , Sheila Carreno-Madinabeitia
  • , Andoni Gonzalez-Arceo

Producción científica: Contribución a una revistaArtículorevisión exhaustiva

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Resumen

ROSEO-BIWT is a new Building-Integrated Wind Turbine (BIWT) intended for installation on the edge of buildings. It consists of a Savonius wind turbine and guiding vanes to accelerate the usual horizontal wind, together with the vertical upward air stream on the wall. This edge effect improves the performance of the wind turbine, and its architectural integration is also beneficial. The hypothetical performance and design configuration were studied for a university building in Eibar city using wind data from the ERA5 reanalysis (European Centre for Medium-Range Weather Forecasts’ reanalysis), an anemometer to calibrate the data, and the actual small-scale behavior in a wind tunnel. The data acquired by the anemometer show high correlations with the ERA5 data in the direction parallel to the valley, and the calibration is therefore valid. According to the results, a wind speed augmentation factor of three due to the edge effect and concentration vanes would lead to a increase in working hours at the rated power, resulting annually in more than 2000 h.
Idioma originalInglés
Páginas (desde-hasta)2027
Número de páginas1
PublicaciónEnergies
Volumen12
N.º10
DOI
EstadoPublicada - 27 may 2019

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

  1. ODS 4: Educación de calidad
    ODS 4: Educación de calidad
  2. ODS 7: Energía asequible y no contaminante
    ODS 7: Energía asequible y no contaminante
  3. ODS 17: Alianzas para lograr los objetivos
    ODS 17: Alianzas para lograr los objetivos

Palabras clave

  • Building integrated wind turbine
  • Savonius
  • ERA5
  • Anemometer
  • Calibration

Project and Funding Information

  • Funding Info
  • The research leading to these results was carried out in the framework of the Programme Campus Bizia_x000D_ Lab EHU (Campus Living Lab) with a financial grant from the Office of Sustainability of the Vice-Chancellorship_x000D_ for Innovation, Social Outreach and Cultural Activities of the University of the Basque Country (UPV/EHU)._x000D_ This programme is supported by the Basque Government. We acknowledge also the availability given by the_x000D_ School of Engineering of Gipuzkoa-Eibar in the University of Basque Country, the EDP-Renewable awards_x000D_ in which we obtained the main award in September 2017, the Youth Enterprise Grant of UPV/EHU, and the_x000D_ project GIU17/02 of EHU/UPV. All computations and representations of this work were developed using the_x000D_ programming language R

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