Numerical Simulations of Wake Flows of Wind Farm with Fourteen Wind Turbines

Xinze Duan, Ping Cheng, Decheng Wan, Changhong Hu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The wake interaction phenomenon among wind turbines has a great influence on aerodynamic power output, wind speed deficit turbulence stress and wake vortex structure, which indicates that more attention should be placed on the wake interaction for the optimal arrangement of wind farm. In this present study, firstly a numerical validation of aerodynamics for the two offset model wind turbines using actuator line model and CFD technique. The results obtained from the present simulations are compared to the data from the experiment “Blind Test 3” and other simulation models. Based on the simulations results, the present study shows good agreement with the experimental results. Then considering the uniform inflow condition, the complex phenomenon of wake interaction in wind farm containing fourteen wind turbines is simulated using a numerical method. Large eddy simulations combined with an actuator line model are conducted in the in-house CFD code FOWT-UALM-SJTU Solver. The motivation for this work is to create a sound methodology for performing the simulation of large wind farms. To better understand the wake interaction phenomenon, the aerodynamic power coefficients and basic features of both the near and far wake, including the distribution characteristics of the mean wake velocity and vortex structures are studied in detail.

Original languageEnglish
Title of host publicationProceedings of the 28th International Ocean and Polar Engineering Conference, ISOPE 2018
PublisherInternational Society of Offshore and Polar Engineers
Pages519-526
Number of pages8
ISBN (Print)9781880653876
Publication statusPublished - Jan 1 2018
Event28th International Ocean and Polar Engineering Conference, ISOPE 2018 - Sapporo, Japan
Duration: Jun 10 2018Jun 15 2018

Publication series

NameProceedings of the International Offshore and Polar Engineering Conference
Volume2018-June
ISSN (Print)1098-6189
ISSN (Electronic)1555-1792

Other

Other28th International Ocean and Polar Engineering Conference, ISOPE 2018
CountryJapan
CitySapporo
Period6/10/186/15/18

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Ocean Engineering
  • Mechanical Engineering

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