Department of Mechanical Engineering, Johns Hopkins University, Baltimore, Maryland, USA,; AAAS Science & Technology Policy Fellow, Building Technologies Office, US Department of Energy, Washington, DC, USA
Department of Mechanical Engineering, Johns Hopkins University, Baltimore, Maryland, USA,
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.
Shapiro, Carl R., et al. "Turbulence and Control of Wind Farms." Annual Review of Control, Robotics, and Autonomous Systems, vol. 5, no. 1, May. 2022. https://doi.org/10.1146/annurev-control-070221-114032
Shapiro, Carl R., Starke, Genevieve M., & Gayme, Dennice F. (2022). Turbulence and Control of Wind Farms. Annual Review of Control, Robotics, and Autonomous Systems, 5(1). https://doi.org/10.1146/annurev-control-070221-114032
Shapiro, Carl R., Starke, Genevieve M., and Gayme, Dennice F., "Turbulence and Control of Wind Farms," Annual Review of Control, Robotics, and Autonomous Systems 5, no. 1 (2022), https://doi.org/10.1146/annurev-control-070221-114032
@article{osti_1983004,
author = {Shapiro, Carl R. and Starke, Genevieve M. and Gayme, Dennice F.},
title = {Turbulence and Control of Wind Farms},
annote = {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.},
doi = {10.1146/annurev-control-070221-114032},
url = {https://www.osti.gov/biblio/1983004},
journal = {Annual Review of Control, Robotics, and Autonomous Systems},
issn = {ISSN 2573-5144},
number = {1},
volume = {5},
place = {United States},
publisher = {Annual Reviews},
year = {2022},
month = {05}}
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, Vol. 375, Issue 2091https://doi.org/10.1098/rsta.2016.0108
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, Vol. 375, Issue 2091https://doi.org/10.1098/rsta.2016.0100