Stanford Researchers Boost Wind Productivity With Wake-Steering

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Stanford University researchers have shown that angling turbines slightly away from the wind can boost the production of energy.

According to the researchers, solitary wind turbines produce the most power when pointing directly into the wind. But when tightly packed lines of turbines face the wind, wakes from upstream generators can interfere with those downstream. Like a speedboat slowed by choppy water from a boat in front, the wake from a wind turbine reduces the output of those behind it.

However, pointing turbines slightly away from oncoming wind – called wake-steering – can reduce that interference and improve both the quantity and quality of power from wind farms, the Stanford study shows.

“To meet global targets for renewable energy generation, we need to find ways to generate a lot more energy from existing wind farms,” says John Dabiri, professor of civil and environmental engineering and of mechanical engineering and senior author of the paper. “The traditional focus has been on the performance of individual turbines in a wind farm, but we need to instead start thinking about the farm as a whole, and not just as the sum of its parts.”

Turbine wakes can reduce the efficiency of downwind generators by more than 40%, the researchers say. Previously, researchers have used computer simulations to show that misaligning turbines from the prevailing winds could raise production of downstream turbines. However, showing this on a real wind farm has been hindered by challenges in finding a project willing to halt normal operations for an experiment – until now.

First, the Stanford group developed a faster way to calculate the optimal misalignment angles for turbines, which they described in a study, published July 1 in “Proceedings of the National Academy of Sciences.”

Then, they tested their calculations on a wind farm in Alberta in collaboration with operator TransAlta Renewables. The overall power output of the farm increased by up to 47% in low wind speeds – depending on the angle of the turbines – and by 7% to 13% in average wind speeds. Wake-steering also reduced the ebbs and flows of power that are normally a challenge with wind power.

“Through wake-steering, the front turbine produced less power as we expected,” says mechanical engineering PhD student Michael Howland, lead author on the study. “But we found that because of decreased wake effects, the downstream turbines generated significantly more power.”

Variability
Variable output by wind farms makes managing the grid more difficult in two important ways, the researchers say.

One is the need for backup power supplies, like natural gas-fired power plants and large batteries. In the new study, the power improvement at low wind speeds was particularly high because turbines typically stop spinning below a minimum speed, cutting production entirely and forcing grid managers to rely on backup power. In slow winds, wake-steering reduced the amount of time that speeds dropped below this minimum, the researchers found. Notably, the biggest gains were at night, when wind energy is typically most valuable as a complement to solar.

The other is the need to match exactly the amount of electricity supplied and used in a region every moment to keep the grid reliable. Air turbulence from wakes can make wind farm production erratic minute by minute – a time period too short to fire up a gas generator. This makes matching supply and demand more challenging for system operators in the very short term. They have tools to do so, but the tools can be expensive. In the study, wake-steering reduced the very short-term variability of power production by up to 72%.

Additionally, reducing variability can help wind farm owners lower their operating costs. Turbulence in wakes can strain turbine blades and raise repair costs. Although the experiment did not last long enough to prove that wake-steering reduces turbine fatigue, the researchers suggested this would happen.

“The first question that a lot of operators ask us is how this will affect the long-term structural health of their turbines,” Dabiri says. “We’re working on pinpointing the exact effects, but so far, we have seen that you can actually decrease mechanical fatigue through wake-steering.”

Modeling and long-term viability
To calculate the best angles of misalignment for the study, the researchers developed a new model based on historical data from the wind farm.

“Designing wind farms is typically a very data and computationally intensive task,” says Sanjiva Lele, a professor of aeronautics and astronautics and of mechanical engineering. “Instead, we established simplified mathematical representations that not only worked but also reduced the computational load by at least two orders of magnitude.”

This faster computation could help wind farm operators use wake-steering widely, according to Stanford.

“Our model is essentially plug-and-play because it can use the site-specific data on wind farm performance,” Howland says. “Different farm locations will be able to use the model and continuously adjust their turbine angles based on wind conditions.”

Although the researchers were unable to measure a change in annual power production because of the limited 10-day duration of this field test, the next step, says Dabiri, is to run field tests for an entire year.

“If we can get to the point where we can deploy this strategy on a large scale for long periods of time, we can potentially optimize aerodynamics, power production and even land-use for wind farms everywhere.”

Dabiri is also a senior fellow at the Precourt Institute for Energy and a member of Stanford Bio-X. Lele is also a member of Stanford Bio-X.

The research was supported by the National Science Foundation, a Stanford Graduate Fellowship and Stanford’s TomKat Center for Sustainable Energy.

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This is what I’ve been explaining with regard to the line of rotors in a Selsam SuperTurbine(TM), offset from the wind direction to bring fresh wind to each rotor. The rotor skew directs the rotor wakes away from downwind rotors.