Development of a streamline wake model for wind farm performance predictions

Matias Sessarego, Ju Feng, Mikkel Friis-Møller, Yun Xu, Mengying Xu, Wen Zhong Shen*

*Corresponding author for this work

    Research output: Contribution to journalConference articleResearchpeer-review

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    Abstract

    In the present paper a new streamline model for wake development based on a streamline topology is applied and compared with different approaches for modeling the wind turbine wakes. The contribution of the present work is the comparison of the streamline-and straight-wake models as well as the different wake models, e.g., Jensen and Gaussian. The models have been applied to two wind farm cases. The results from the first case are compared against SCADA measurements and computational fluid dynamics simulations (CFD). The CFD simulations are performed using Reynolds-Averaged Navier Stokes (RANS) together with the actuator disc (AD) approach. The mean percent difference in power using the different wake models ranged between 19-20%. Mean percent difference in power for the AD-RANS was approximately 20%. For the second wind farm case only wake models are compared and approximately ±1% difference exists between them. The present work shows that the streamline topology of the wind turbine wake flow as well as the wake models have an effect on the performance prediction of wind farms.
    Original languageEnglish
    Article number062027
    Book seriesJournal of Physics: Conference Series
    Volume1618
    Issue number6
    Number of pages11
    ISSN1742-6596
    DOIs
    Publication statusPublished - 2020
    EventTORQUE 2020 - Online event, Netherlands
    Duration: 28 Sept 20202 Oct 2020
    https://www.torque2020.org/

    Conference

    ConferenceTORQUE 2020
    LocationOnline event
    Country/TerritoryNetherlands
    Period28/09/202002/10/2020
    Internet address

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