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Delegates are invited to meet and discuss with the poster presenters during the poster presentation sessions between 10:30-11:30 and 16:00-17:00 on Thursday, 19 November 2015.

Lead Session Chair:
Stephan Barth, ForWind - Center for Wind Energy Research, Germany
Keon-Hoon Kim KIER (Korea Institute of Energy Research), Korea, Republic of
Co-authors:
KEON-HOON KIM (1) F EUN-IL KIM (1)
(1) KIER(Korea Institute of Energy Research), Daejeon, Korea, Republic of

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Presenter's biography

Biographies are supplied directly by presenters at EWEA 2015 and are published here unedited

I have been working in wind energy research field for 20years and I am a principal researcher at KIER which is supported by government. I have studied an aeronautical engineering and got a Ph.D. on the design load evaluation for a wind turbine at INHA unversity in KOREA. I have been involved in several projects for wind turbine design, wind speed measurements and wind turbine testing. My research is focused on the testing, testing standards and the feasibility study of wind farm construction.


Poster

Poster Download poster (13.29 MB)

Abstract

RESEARCH ON THE EFFECT OF PARAMETERS ON THE POWER MEASUREMENT UNCERTAINTY OF A WIND TURBINE

Introduction

The installed capacity of wind turbines in KOREA are growing and enlarging by the central government's support program. Thus, the importance of power performance verification and its uncertainty analysis have been recognized significantly.

Approach

This paper described the power performance measurement results of a small wind turbine, analyzed an uncertainty level of measurements and an effect of a few independent parameters on the uncertainty.

Main body of abstract

The measured power curves are very closely coincide with the calculated one and the annual energy production under the given Rayleigh wind speed distribution are estimated with the 8.6~18.8% of standard uncertainty but, in the dominant wind speed region as 7~8m/s, the standard uncertainty are stably decreased to 9~10%. Also the effects on the uncertainty by few independent parameters are described. All of this analysis is conducted under the control of an international standard for power measurements.

Conclusion

As a final result, the influences of power measurement devices and topographic variation on the uncertainty of energy production are strictly higher than effects by wind speed sensors or environmental devices.


Learning objectives
We can recognize the most influential parameters on the uncertainty of power measurement for a wind turbine system. Thus, it would be possible to control the uncertainty level of power measurements in general conditions.