TY - GEN
T1 - Urban deployment of small wind turbines
T2 - 2013 48th International Universities' Power Engineering Conference, UPEC 2013
AU - Sunderland, Keith
AU - Woolmington, Thomas
AU - Conlon, Michael
AU - Blackledge, Jonathan
PY - 2013
Y1 - 2013
N2 - The urban terrain and the associated topographical complexities therein, present significant challenges to the deployment of small wind turbines. In particular, a considerable amount of uncertainty is attributable to the lack of understanding concerning how turbulence within urban environments affects turbine productivity. This paper considers how the industry standard metric, turbulence intensity (TI), in conjunction with the power characteristic of a 2.5kW wind turbine, can be employed to estimate turbine power performance. The research presented here considers the potential productivity of a wind turbine installation at two sites in (urban and suburban) Dublin, Ireland where the prevalent turbulence at both locations is considered. The industry metric of TI and the statistical properties of the high resolution wind observations at both locations are utilised to drive two models. The high resolution nature of the wind speed observations facilitates accurate application of Gaussian and Weibull statistics in this regard. The analysis demonstrates that the proposed methodologies could provide a means for installers to accurately predict power performance for a wind turbine based on (wind speed) standard deviation and TI observations.
AB - The urban terrain and the associated topographical complexities therein, present significant challenges to the deployment of small wind turbines. In particular, a considerable amount of uncertainty is attributable to the lack of understanding concerning how turbulence within urban environments affects turbine productivity. This paper considers how the industry standard metric, turbulence intensity (TI), in conjunction with the power characteristic of a 2.5kW wind turbine, can be employed to estimate turbine power performance. The research presented here considers the potential productivity of a wind turbine installation at two sites in (urban and suburban) Dublin, Ireland where the prevalent turbulence at both locations is considered. The industry metric of TI and the statistical properties of the high resolution wind observations at both locations are utilised to drive two models. The high resolution nature of the wind speed observations facilitates accurate application of Gaussian and Weibull statistics in this regard. The analysis demonstrates that the proposed methodologies could provide a means for installers to accurately predict power performance for a wind turbine based on (wind speed) standard deviation and TI observations.
KW - Gaussian and Weibull distributions
KW - Small wind turbines
KW - turbulence
KW - turbulence intensity
KW - urban environments
UR - https://www.scopus.com/pages/publications/84894112284
U2 - 10.21427/d76n78
DO - 10.21427/d76n78
M3 - Conference contribution
AN - SCOPUS:84894112284
SN - 9781479932542
T3 - Proceedings of the Universities Power Engineering Conference
BT - 2013 48th International Universities' Power Engineering Conference, UPEC 2013
Y2 - 2 September 2013 through 5 September 2013
ER -