On the potential yield of wind turbines on high-rise buildings
Urban wind energy has intrigued some investments and applications over the last decade. However, most applications have been unsuccessful, in many cases leaving behind non-rotating wind turbines in the built environment. Research on urban wind energy has also lacked in providing a reliable descripti...
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doaj-7b8389f938344b76b85f508cbdf8b1052021-02-18T10:43:47ZengEDP SciencesE3S Web of Conferences2267-12422021-01-012380100410.1051/e3sconf/202123801004e3sconf_100res2021_01004On the potential yield of wind turbines on high-rise buildingsVita Giulio0Salvadori Simone1Sarkić-Glumac Anina2Misul Daniela Anna3Dipartimento di Ingegneria Industriale (DIEF), Università degli Studi FirenzeDipartimento Energia (DENERG), Politecnico di TorinoInterdisciplinary Centre for Security, Reliability and Trust (SnT), University of LuxembourgDipartimento Energia (DENERG), Politecnico di TorinoUrban wind energy has intrigued some investments and applications over the last decade. However, most applications have been unsuccessful, in many cases leaving behind non-rotating wind turbines in the built environment. Research on urban wind energy has also lacked in providing a reliable description of the local flow features small wind turbines are placed in, and the positioning strategy is mostly based on empiricism. This study uses data from a wind tunnel test on the flow pattern above the roof of high-rise buildings to estimate the potential yield of small wind turbines installed in various configurations. The data are collected at a height of 12 m above the flat roof under various wind directions. The capacity factor of a medium-size horizontal axis wind turbine is calculated using power curve data available from the literature. The local wind resource is calculated using the mean wind speed as measured with hot-wire anemometry. The annual energy production of the various configurations is calculated using the climate data available for Firenze (IT) and the orientation of the building with respect to main winds. A rather large variability in the power output of the roof-farm was found for the chosen configuration.https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/14/e3sconf_100res2021_01004.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Vita Giulio Salvadori Simone Sarkić-Glumac Anina Misul Daniela Anna |
spellingShingle |
Vita Giulio Salvadori Simone Sarkić-Glumac Anina Misul Daniela Anna On the potential yield of wind turbines on high-rise buildings E3S Web of Conferences |
author_facet |
Vita Giulio Salvadori Simone Sarkić-Glumac Anina Misul Daniela Anna |
author_sort |
Vita Giulio |
title |
On the potential yield of wind turbines on high-rise buildings |
title_short |
On the potential yield of wind turbines on high-rise buildings |
title_full |
On the potential yield of wind turbines on high-rise buildings |
title_fullStr |
On the potential yield of wind turbines on high-rise buildings |
title_full_unstemmed |
On the potential yield of wind turbines on high-rise buildings |
title_sort |
on the potential yield of wind turbines on high-rise buildings |
publisher |
EDP Sciences |
series |
E3S Web of Conferences |
issn |
2267-1242 |
publishDate |
2021-01-01 |
description |
Urban wind energy has intrigued some investments and applications over the last decade. However, most applications have been unsuccessful, in many cases leaving behind non-rotating wind turbines in the built environment. Research on urban wind energy has also lacked in providing a reliable description of the local flow features small wind turbines are placed in, and the positioning strategy is mostly based on empiricism. This study uses data from a wind tunnel test on the flow pattern above the roof of high-rise buildings to estimate the potential yield of small wind turbines installed in various configurations. The data are collected at a height of 12 m above the flat roof under various wind directions. The capacity factor of a medium-size horizontal axis wind turbine is calculated using power curve data available from the literature. The local wind resource is calculated using the mean wind speed as measured with hot-wire anemometry. The annual energy production of the various configurations is calculated using the climate data available for Firenze (IT) and the orientation of the building with respect to main winds. A rather large variability in the power output of the roof-farm was found for the chosen configuration. |
url |
https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/14/e3sconf_100res2021_01004.pdf |
work_keys_str_mv |
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