Abstract

To examine the applicability of the nacelle transfer function (NTF) derived from nacelle light detection and ranging (LIDAR) measurements to wind turbine power performance testing without a met mast, wind turbine power performance measurement was carried out at the Dongbok wind farm on Jeju Island, South Korea. A nacelle LIDAR was mounted on the nacelle of a 2-MW wind turbine to measure wind conditions in front of the turbine rotor, and an 80-m-high met mast was installed near another wind turbine to measure the free-stream wind speed. The power measurement instruments were installed in the turbine tower base, and wind speeds measured by the nacelle anemometer of the turbine were collected by the SCADA (Supervisory control and data acquisition) system. The NTF was determined by the table method, and then the power curve drawn using the NTF by the nacelle LIDAR (PCNTF, NL) was compared with the power curves drawn in compliance with International Electrotechnical Commission (IEC) standards, 61400-12-1 and 61400-12-2. Next, the combined standard uncertainties of the power curves were calculated to clarify the magnitude of the components of the uncertainties. The uncertainties of annual energy production (AEP) were also estimated by assuming that wind speed is a Rayleigh cumulative distribution. As a result, the PCNTF, NL was in good agreement with the power curves drawn in accordance with the IEC standards. The combined standard uncertainty of PCNTF, NL was almost the same as that of the power curve based on IEC 61400-12-2.

Highlights

  • Wind energy is the most well-known form of renewable energy

  • The anemometer wind speeds for turbine no. 1, from which NTFNL was calculated using the table relationship was close to the slope of one, which means that the correlation between the nacelle light detection and ranging (LIDAR)

  • The relationship was close to the slope of one, which means that the correlation between and nacelle anemometer wind speeds was very high and NTFNL was considered to be the nacelle LIDAR and nacelle anemometer wind speeds was very high and NTFNL

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Summary

Introduction

Wind energy is the most well-known form of renewable energy. Studies on wind resource assessment, wind farm design, and wake effect analysis [1,2,3,4,5,6] have been conducted to increase the energy efficiency of wind farms. Shin et al [28,29] clarified the reliability of the nacelle LIDAR measurements through comparison with the reference cup anemometer wind data They compared the power curves from the nacelle. If it is possible to apply NTF derived from nacelle LIDAR measurements without a met mast to power performance testing, power curves of other wind turbines can be drawn, which will be done at a comparatively low cost and in a short period of time. It will be helpful for offshore wind turbine testing. The uncertainties of AEP (uAEP ) were evaluated assuming that the wind follows a Rayleigh wind distribution

Test Site
January
Specification
Criteria
NTF Derivation
NTF Application
A higher
Power Curve Uncertainty
Uncertainty in Free-Stream Wind Speed from Nacelle LIDAR
Nacelle
Relative
Combined Standard Uncertainty
15. It was the combined standard of the originated from wind
AEP Uncertainty
Conclusions
Evaluation
Full Text
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