Spectral features of the wake and power fluctuations of model wind turbines under low-level jets

Author:

Evans Humberto Bocanegra1ORCID,Doosttalab Ali1ORCID,Siguenza-Alvarado Diego12ORCID,Cheng Shyuan3ORCID,Chamorro Leonardo P.3ORCID,Castillo Luciano1

Affiliation:

1. School of Mechanical Engineering, Purdue University, West Lafayette, Indiana 47907, USA

2. ESPOL Polytechnic University, Escuela Superior Politécnica del Litoral, ESPOL, FIMCP CERA, Campus Gustavo Galindo Km. 30.5 Vía Perimetral, P.O. Box 09-01-5863, Guayaquil, Ecuador

3. Department of Mechanical Science and Engineering, University of Illinois-Urbana-Champaign, Urbana, Illinois 61801, USA

Abstract

Laboratory experiments are conducted to inspect the modulation of model low-level-jet (LLJ) velocity profiles on the wake of a model wind turbine and power output fluctuations and a spectral structure of a simple two-turbine system in an aligned configuration. The scenario with a canonical incoming turbulent boundary layer profile is included for comparison. The results reveal a significant effect of the relative height of the LLJ peak velocity on the near and intermediate wake and power output fluctuations. Those effects are more notorious with the LLJ peak velocity coincident with the turbine top tip. The strong mean shear right above the wake promotes enhanced vertical transport and generation of energetic coherent motions. In particular, the near and intermediate wake velocity spectra showed a robust local signature with a streamwise length on the order of ∼4 times the rotor diameter. Although this shear layer did not significantly affect the spectrum of the power output fluctuations, the relatively large-scale velocity fluctuations may affect wind turbines' downwind in arrays.

Funder

Kenninger Chair

Publisher

AIP Publishing

Subject

Renewable Energy, Sustainability and the Environment

Cited by 1 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. On the design and power output response of hydraulic wind turbines;Energy Conversion and Management;2023-10

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