Picture of athlete cycling

Open Access research with a real impact on health...

The Strathprints institutional repository is a digital archive of University of Strathclyde's Open Access research outputs. Strathprints provides access to thousands of Open Access research papers by Strathclyde researchers, including by researchers from the Physical Activity for Health Group based within the School of Psychological Sciences & Health. Research here seeks to better understand how and why physical activity improves health, gain a better understanding of the amount, intensity, and type of physical activity needed for health benefits, and evaluate the effect of interventions to promote physical activity.

Explore open research content by Physical Activity for Health...

Wind direction error in the Lillgrund offshore wind farm

Yu, Xi and Infield, David and Maguire, Eoghan (2013) Wind direction error in the Lillgrund offshore wind farm. In: 2nd IET Renewable Power Generation Conference (RPG 2013). IET, Stevenage. ISBN 9781849197588

[img]
Preview
Text (Yu-etal-IETRPG2013-Wind-direction-error-in-the-Lillgrund-offshore-wind-farm)
Yu_etal_IETRPG2013_Wind_direction_error_in_the_Lillgrund_offshore_wind_farm.pdf - Accepted Author Manuscript

Download (2MB) | Preview

Abstract

The reduction of wake effects and maximisation of wind farm power output are always of interest to wind researchers [2][3]. However, one of the research challenges is to distinguish sensor errors from wake losses and losses due to poor yaw alignment. SCADA data from Lillgrund, the Swedish offshore wind farm, shows significant differences between the wind direction as measured at the met mast and as indicated by the nacelle directions measured at the individual wind turbines. Various possibilities might explain this data, the most likely being poor yaw control at particular wind turbines and/or sensor error. Both of these make power performance assessment and wake analysis problematic. In this paper, animations presented have been proved useful in the initial identification of turbines with potential problems. These anomalous turbines are then subject to a range of analyses designed to distinguish the different potential issues