Looking at Atmospheric Stability to Predict Wind Power
- Tuesday, 24 January 2012
Power generated by a wind turbine largely depends on wind speed. In a wind farm in which the turbines experience the same wind speeds but different shapes, such as turbulence, to the wind profile, a turbine will produce different amounts of power. Two researchers say that this variable power can be predicted by looking at atmospheric stability.
Those two researchers are Sonia Wharton of Lawrence Livermore National Laboratory and Julie Lundquist of the University of Colorado at Boulder. Wharton and Lundquist examined turbine-generated power data, segregated by atmospheric stability, to figure out the power performance at a West Coast wind farm. They found that power generated at a set wind speed is higher under stable conditions and lower under strongly unsteady conditions at that location. The average wind power output difference is as high as 15 percent less wind power generation when the atmosphere is unstable.
While turbulence is a relatively well-known term in assessing turbine efficiency, wind shear - which is a difference in wind speed and direction over a relatively short distance in the atmosphere - also plays an important role when assessing how much power a turbine generates over certain time scales.
Though earlier research looked at atmospheric stability effects on power output, few studies have analyzed power output from modern turbines with hub heights of more than 60 meters. In the new research, Wharton and Lundquist gathered a year of power data from upwind modern turbines (80 meters high) at a multi-megawatt wind farm on the West Coast. They considered turbine power information as well as meteorological data from an 80-meter tall tower and a Sonic Detection and Ranging (SODAR), which provided wind profiles up to 200 meters above the surface, to look at turbulence and wind shear. Looking at upwind turbines removed any influence that turbine wakes may have on power performance.
They found that wind speed and power production varied by season as well as from night to day. Wind speeds were higher at night (more power) than during the day (less power) and higher during the warm season (more power) than in the cool season (less power). For example, average power production was 43 percent of maximum generation capacity on summer days and peaked at 67 percent on summer nights.