Enhancing Wind Farm Performance through Axial Induction and Tilt Control: Insights from Wind Tunnel Experiments

Author:

Armengol Barcos Guillem1,Porté-Agel Fernando1ORCID

Affiliation:

1. Wind Engineering and Renewable Energy Laboratory (WIRE), École Polytechnique Fédérale de Lausanne (EPFL), 1015 Lausanne, Switzerland

Abstract

Static axial induction control and tilt control are two strategies that have the potential to increase power production in wind farms, mitigating wake effects and increasing the available power for downstream turbines. In this study, wind tunnel experiments are performed to evaluate the efficiency of these two techniques. First, the axial induction of upstream turbines in wind farms comprising two, three, and five turbines is modified through the tip-speed ratio. This strategy is found to be ineffective in increasing power extraction. Next, the power extraction and flow through a two-turbine wind farm are evaluated, considering different tilt angles for the upstream turbine, under two levels of incoming flow turbulence intensities and turbine spacing distances. It is shown that forward tilting increases the overall power extraction by deflecting the wake downwards and promoting the entrainment of high-speed fluid in the upper shear layer, regardless of the turbine spacing distance and turbulence intensity level. Also, the wake is seen to recover faster due to the increased shear between the wake and the outer flow. Tilting a turbine backward deflects the wake upwards and pulls low-speed flow from under the turbine into the wake space, increasing the available power for downstream turbines, but it is not enough to increase global power extraction. Moreover, since the wake deflection under backward tilting is not limited by ground blockage, it leads to larger secondary steering compared with forward tilting. Finally, it is demonstrated that the secondary steering of the downstream turbine’s wake influences the flow encountered by a turbine positioned farther downstream.

Funder

Swiss National Science Foundation

European Union Horizon 2020 research and innovation program, Train2Wind project

Swiss Federal Office of Energy

Publisher

MDPI AG

Subject

Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Control and Optimization,Engineering (miscellaneous),Building and Construction

Reference43 articles.

1. International Energy Agency (IEA) (2021). World Energy Outlook 2021, WEO2021, IEA.

2. International Renewable Energy Agency (IRENA) (2018). Renewable Power Generation Costs in 2018, IRENA.

3. Wind turbine wake control strategies: A review and concept proposal;Nash;Energy Convers. Manag.,2021

4. Evolutionary computation for wind farm layout optimization;Wilson;Renew. Energy,2018

5. Wind-turbine and wind-farm flows: A review;Bastankhah;Bound.-Layer Meteorol.,2020

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