A novel yaw wake model for wind farm control applications
Wen Zhong Shen,
Jian Wei Lin,
Yu Hang Jiang,
Ju Feng,
Li Cheng and
Wei Jun Zhu
Renewable Energy, 2023, vol. 218, issue C
Abstract:
Yaw control is a potential control strategy to redirect the wakes of wind turbines for the purpose of improving the wind farm performance. Because of its time-consuming nature, high fidelity numerical simulations are hard to be applied in engineering applications. Instead, a simple and efficient engineering wake model is preferable. In this paper, a novel yaw wake model is developed in the following three steps: a novel wake velocity model for non-yawed wind turbines is first developed; second, a novel wake deflection model is developed to overcome the shortcomings in existing models; and third, a novel wake model for yawed wind turbines is developed. To verify its accuracy, the results of the novel yaw wake model implemented in the in-house Analytical Wake Model Calculator (AWMC) are validated against experimental data and simulation results. Moreover, the comparisons with a few existing yaw wake models show its superiority. In terms of error, the overall accuracy of the wake deflection model is enhanced by more than 20 % compared to other models in all cases. In addition, the overall accuracy of the novel yaw wake distribution model is improved by at least 10 % in most cases as compared to state-of-the-art yaw wake models.
Keywords: Analytical model; AWMC; Wake deflection; Wakes; Yawed turbine (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960148123013800
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:218:y:2023:i:c:s0960148123013800
DOI: 10.1016/j.renene.2023.119465
Access Statistics for this article
Renewable Energy is currently edited by Soteris A. Kalogirou and Paul Christodoulides
More articles in Renewable Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().