
Wake steering and wake mixing are two flow-control strategies aimed at improving wind-farm performance by redirecting turbine wakes or accelerating their recovery to increase downstream turbine and overall power production. Among wake-mixing approaches, the Helix and Dynamic Yaw techniques have recently attracted significant attention. Although both strategies have shown promising results in previous studies, they have rarely been compared directly. This experimental work evaluates the performance of wake steering and mixing, relative to the conventional greedy operation, within an extended three-turbine cluster tested in a large boundary-layer wind tunnel. The analysis considers both power production and the resulting Damage Equivalent Loads across different wind directions. Several combinations of wake steering and wake mixing are explored to identify potential synergies. In terms of power production, the results show that an optimally implemented wake-steering strategy outperforms wake mixing. The actuated turbine experiences higher loads when wake mixing is applied, while the load trends on the downstream turbines generally mirror their corresponding power trends.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
