Wake steering of multirotor wind turbines

Speakman, Gustav A.; Abkar, Mahdi; Martínez‐Tossas, Luis A.; Bastankhah, Majid

Abstract

In this paper, wake steering is applied to multirotor turbines to determine whether it has the potential to reduce wind plant wake losses. Through application of rotor yaw to multirotor turbines, a new degree of freedom is introduced to wind farm control such that wakes can be expanded, channelled or redirected to improve inflow conditions for downstream turbines. Five different yaw configurations are investigated (including a baseline case) by employing large‐eddy simulations (LES) to generate a detailed representation of the velocity field downwind of a multirotor wind turbine. Two lower‐fidelity models from single‐rotor yaw studies (curled‐wake model and analytical Gaussian wake model) are extended to the multirotor case, and their results are compared with the LES data. For each model, the wake is analysed primarily by examining wake cross‐sections at different downwind distances. Further quantitative analysis is carried out through characterisations of wake centroids and widths over a range of streamwise locations and through a brief analysis of power production. Most significantly, it is shown that rotor yaw can have a considerable impact on both the distribution and magnitude of the wake velocity deficit, leading to power gains for downstream turbines. The lower‐fidelity models show small deviation from the LES results for specific configurations; however, both are able to reasonably capture the wake trends over a large streamwise range.

Citation

Speakman, G. A., Abkar, M., Martínez‐Tossas, L. A., & Bastankhah, M. (2021). Wake steering of multirotor wind turbines. Wind Energy, 24(11), 1294-1314. https://doi.org/10.1002/we.2633

• Journal Article Type: Article
• Acceptance Date: Feb 16, 2021
• Online Publication Date: Mar 15, 2021
• Publication Date: 2021-11
• Deposit Date: Apr 8, 2021
• Publicly Available Date: Apr 8, 2021
• Journal: Wind Energy
• Print ISSN: 1095-4244
• Electronic ISSN: 1099-1824
• Publisher: Wiley Open Access
• Peer Reviewed: Peer Reviewed
• Volume: 24
• Issue: 11
• Pages: 1294-1314
• DOI: https://doi.org/10.1002/we.2633
• Public URL: https://durham-repository.worktribe.com/output/1244654