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Delegates are invited to meet and discuss with the poster presenters in this topic directly after the session 'Remote sensing: From toys to tools?' taking place on Wednesday, 12 March 2014 at 14:15-15:45. The meet-the-authors will take place in the poster area.

Graham More SgurrEnergy, United Kingdom
Co-authors:
Florin Pintilie (1) F P Simon Needham (1) Graham More (1)
(1) SgurrEnergy, Glasgow, United Kingdom

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Presenter's biography

Biographies are supplied directly by presenters at EWEA 2014 and are published here unedited

Graham More works within the analysis team at SgurrEnergy and specialises in analysis of measurements from remote sensing devices, in particular the Galion Lidar. Graham has been involved with ground breaking Lidar campaigns such as detailed measurements of wind turbine wakes onshore and offshore, allowing for accurate calculation of wake loss values for long term wind farm energy yield predictions. Beyond Galion analysis Graham has worked on pre-construction energy yields and optimisation of noise curtailment strategies for wind farm operation. Previous to working at SgurrEnergy, Graham graduated with a Bsc in Physics from the University of Strathclyde.

Abstract

Galion Lidar power curve assessment - novel method

Introduction

There is increasing concern that the wind turbine generator (WTG) power curves used for wind resource estimation studies are not always representative of performance in real site conditions. SgurrEnergy proposes a novel and low cost method of assessing the power curve performance of WTGs both offshore and onshore using Galion Lidar, and quantifying the impact of varying wind parameters such as turbulence and wind shear on power curve performance.

Approach

This method consists of placing a Galion Lidar on the ground or transition piece at the base of the WTG to measure the wind speed and direction in front of the WTG and across the swept rotor area. The use of lidar allows the collection of more detailed information about inflow across the rotor area, allowing a fuller parameterisation of the incident resource and resulting in reduced uncertainties.

Main body of abstract

SgurrEnergy is currently undertaking a number of power curve measurements using this technique, including measurements on both onshore and offshore sites, and in parallel with a traditional IEC compliant onshore power curve test. Both hub height and rotor equivalent wind speeds (using lidar measurements across the rotor diameter) have been used to obtain power curves for comparison with the reference power curves.
Wind speed and direction measurements were made from a Galion Lidar placed at the base of the WTGs. Lidar measured the wind speed and direction at 2.5 rotor diameters in front of the WTG, at hub height, and across the swept rotor area with an arc scan geometry of 20 degree increments.
Both hub height and equivalent wind speed (using lidar measurements across the rotor diameter) were used for obtaining a power curve and compared with other reference power curves. This work presents a comparison of the measured power curves, validating the use of Galion lidar in power curve measurement. This is done for onshore WTGs in relatively complex terrain and offshore WTGs where the lidar in mounted on the transition piece.


Conclusion

In recent projects where this method was applied, SgurrEnergy has found statistically consistent power curves were obtained when compared to IEC compliant met mast power curve and a nacelle mounted anemometer power curve.
Galion Lidar measuring on the transition piece of an offshore WTG was recently independently verified by the Fraunhofer Institute and recommended for use as remote mast for offshore projects, without the need of a short mast nearby.
This clearly demonstrates the potential for power curve measurement using Galion Lidar.



Learning objectives
As well as the reduced uncertainty possible with this method, the cost savings can be significant and with the possibility to test many turbines in a short period of time.