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Analysis of NREL-5MW wind turbine wake under varied incoming turbulence conditions

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

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Abstract

The offshore environment is an ideal site for wind farm development as it offers abundant wind energy resources. Investigating offshore wind turbine wake under different turbulence conditions is essential for enhancing energy generation efficiency and promoting sustainable development. This paper utilizes a synthetic turbulence method called Discretizing and Synthesizing Random Flow Generation (DSRFG) to generate four categories of turbulence environments based on International Electrotechnical Commission design requirements for offshore wind turbines. A standalone NREL offshore 5-MW baseline wind turbine is then simulated using the actuator line method coupled with large eddy simulation. Proper Orthogonal Decomposition is employed to analyze the wake characteristics under different incoming turbulence conditions. For the overall wake behaviors, the flow mode, in which some tip vortices flow back towards the hub, become more significant with higher incoming turbulence intensity. Those vortices disturb the turbine and result in unfavorable effects. Meanwhile, when the detailed characteristics of the wake are studied, each primary mode experiences an increase in the number of small-scale vortices with higher incoming turbulence intensity. It results from the interaction between the wake and outer flow, which accelerates wake recovery and benefits the downstream turbine. © 2024 Elsevier Ltd. All rights reserved.
Original languageEnglish
Article number120136
JournalRenewable Energy
Volume224
Online published14 Feb 2024
DOIs
Publication statusPublished - Apr 2024

Funding

This work was carried out using the computational facilities, CityU Burgundy, managed and provided by the Computing Services Centre at City University of Hong Kong (https://www.cityu.edu.hk/). The work described in this paper was fully supported by grants from the Science, Technology and Innovation Commission of Shenzhen Municipality (Project No: SGDX2020110309300301, JCYJ20220818101201003), the National Natural Science Foundation of China (Project No: 51978593), and the Research Grants Council of Hong Kong (Project No: CityU 11204020).

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  2. SDG 8 - Decent Work and Economic Growth
    SDG 8 Decent Work and Economic Growth

Research Keywords

  • Inflow turbulence generation
  • Proper orthogonal decomposition
  • Actuator line method
  • Offshore wind turbine
  • Wake flow analysis

Publisher's Copyright Statement

  • COPYRIGHT TERMS OF DEPOSITED POSTPRINT FILE: © 2024 Elsevier. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/.

RGC Funding Information

  • RGC-funded

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