A LiDAR-Based Active Yaw Control Strategy for Optimal Wake Steering in Paired Wind Turbines

Esmail Mahmoodi, Mohammad Khezri, Arash Ebrahimi, Uwe Ritschel () and Majid Kamandi
Additional contact information
Esmail Mahmoodi: Department of Mechanical Engineering of Biosystems, Shahrood University of Technology, Shahrood 3619995161, Iran
Mohammad Khezri: Department of Mechanical Engineering, Ferdowsi University of Mashhad, Mashhad 9177948974, Iran
Arash Ebrahimi: Institute of Wind Energy Technology, Faculty of Mechanical Engineering and Marine Technologies, University of Rostock, 18051 Rostock, Germany
Uwe Ritschel: Institute of Wind Energy Technology, Faculty of Mechanical Engineering and Marine Technologies, University of Rostock, 18051 Rostock, Germany
Majid Kamandi: Department of Mechanical Engineering of Biosystems, University of Tehran, Karaj 7787131587, Iran

Energies, 2024, vol. 17, issue 22, 1-14

Abstract: In this study, we investigate a yaw control strategy in a two-turbine wind farm with 3.5 MW turbines, aiming to optimize power management. The wind farm is equipped with a nacelle-mounted multi-plane LiDAR system for wind speed measurements. Using an analytical model and integrating LiDAR and SCADA data, we estimate wake effects and power output. Our results show a 2% power gain achieved through optimal yaw control over a year-long assessment. The wind predominantly blows from the southwest, perpendicular to the turbine alignment. The optimal yaw and power gain depend on wind conditions, with higher turbulence intensity and wind speed leading to reduced gains. The power gain follows a bell curve across the range of wind inflow angles, peaking at 1.7% with a corresponding optimal yaw of 17 degrees at an inflow angle of 12 degrees. Further experiments are recommended to refine the estimates and enhance the performance of wind farms through optimized yaw control strategies, ultimately contributing to the advancement of sustainable energy generation.

Keywords: wind turbine; partial wake; power gain; LiDAR measurements; yaw control (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/17/22/5635/pdf (application/pdf)
https://www.mdpi.com/1996-1073/17/22/5635/ (text/html)

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:gam:jeners:v:17:y:2024:i:22:p:5635-:d:1518355

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().