An Effect of Wind Veer on Wind Turbine Performance

Author:

Tumenbayar Undarmaa1ORCID,Ko Kyungnam2ORCID

Affiliation:

1. Multidisciplinary Graduate School Program for Wind Energy, Jeju National University, 102 Jejudaehakro, Jeju, 63243, South Korea

2. b Department of Electrical and Energy Engineering, Jeju National University, 102 Jejudaehakro, Jeju, 63243, South Korea

Abstract

An investigation was performed to identify the wind veer impact on wind turbine power performance at a wind farm located on Jeju Island, South Korea. A 2 MW wind turbine was used as a test turbine. An 80 m-tall met mast was located 220 m away from the test wind turbine and a ground lidar was installed close to the met mast. The wind veer conditions were divided into four types: veering in upper and lower rotor (VV), veering in upper and backing in lower rotor (VB), backing in upper and lower rotor (BB) and backing in upper and veering in lower rotor (BV). The frequency of the four types was identified at the wind farm. The characteristics of wind veer was analysed in terms of diurnal variation and wind speed. In addition, the power curves of the four types were compared with that under no veer condition. Also, the power deviation coefficient (PDC) derived from the power outputs was calculated to identify the effect of the four types on the turbine power performance. As a result, the frequencies of the types, VV, VB, BB and BV were 62.7 %, 4.9 %, 9.2 % and 23.1 %, respectively. The PDCs for the types VV and BV were 3.0 % and 4.2 %, respectively, meaning a power gain while those for the types VB and BB were -2.9 % and -3.9 %, respectively, meaning a power loss.

Funder

Jeju National University

Publisher

Institute of Research and Community Services Diponegoro University (LPPM UNDIP)

Subject

Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Environmental Engineering,Energy (miscellaneous)

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Unlocking renewable energy potential: Harnessing machine learning and intelligent algorithms;International Journal of Renewable Energy Development;2024-06-07

2. Investigation of wind veer characteristics on complex terrain using ground-based lidar;International Journal of Renewable Energy Development;2023-10-26

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