Turbulence and Control of Wind Farms

Posted: 6 May 2022

See all articles by Carl R. Shapiro

Carl R. Shapiro

Johns Hopkins University; Government of the United States of America - U.S. Department of Energy

Genevieve M. Starke

Johns Hopkins University

Dennice F. Gayme

Johns Hopkins University

Date Written: May 1, 2022

Abstract

The dynamics of the turbulent atmospheric boundary layer play a fundamental role in wind farm energy production, governing the velocity field that enters the farm as well as the turbulent mixing that regenerates energy for extraction at downstream rows. Understanding the dynamic interactions among turbines, wind farms, and the atmospheric boundary layer can therefore be beneficial in improving the efficiency of wind farm control approaches. Anticipated increases in the sizes of new wind farms to meet renewable energy targets will increase the importance of exploiting this understanding to advance wind farm control capabilities. This review discusses approaches for modeling and estimation of the wind farm flow field that have exploited such knowledge in closed-loop control, to varying degrees. We focus on power tracking as an example application that will be of critical importance as wind farms transition into their anticipated role as major suppliers of electricity. The discussion highlights the benefits of including the dynamics of the flow field in control and points to critical shortcomings of the current approaches.

Suggested Citation

Shapiro, Carl R. and Starke, Genevieve M. and Gayme, Dennice F., Turbulence and Control of Wind Farms (May 1, 2022). Annual Review of Control, Robotics, & Autonomous Systems, Vol. 5, pp. 579-602, 2022, Available at SSRN: https://ssrn.com/abstract=4101068 or http://dx.doi.org/10.1146/annurev-control-070221-114032

Carl R. Shapiro

Johns Hopkins University

Baltimore, MD 20036-1984
United States

Government of the United States of America - U.S. Department of Energy

1000 Independence Ave. SW
Washington, DC 20585
United States

Genevieve M. Starke

Johns Hopkins University

Baltimore, MD 20036-1984
United States

Dennice F. Gayme (Contact Author)

Johns Hopkins University ( email )

Baltimore, MD 20036-1984
United States

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Abstract Views
149
PlumX Metrics