DOE PAGES title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Turbulent kinetics of a large wind farm and their impact in the neutral boundary layer

Abstract

High-resolution large-eddy simulation of the flow over a large wind farm (64 wind turbines) is performed using the HIGRAD/FIRETEC-WindBlade model, which is a high-performance computing wind turbine–atmosphere interaction model that uses the Lagrangian actuator line method to represent rotating turbine blades. These high-resolution large-eddy simulation results are used to parameterize the thrust and power coefficients that contain information about turbine interference effects within the wind farm. Those coefficients are then incorporated into the WRF (Weather Research and Forecasting) model in order to evaluate interference effects in larger-scale models. In the high-resolution WindBlade wind farm simulation, insufficient distance between turbines creates the interference between turbines, including significant vertical variations in momentum and turbulent intensity. The characteristics of the wake are further investigated by analyzing the distribution of the vorticity and turbulent intensity. Quadrant analysis in the turbine and post-turbine areas reveals that the ejection motion induced by the presence of the wind turbines is dominant compared to that in the other quadrants, indicating that the sweep motion is increased at the location where strong wake recovery occurs. Regional-scale WRF simulations reveal that although the turbulent mixing induced by the wind farm is partly diffused to the upper region, there is nomore » significant change in the boundary layer depth. The velocity deficit does not appear to be very sensitive to the local distribution of turbine coefficients. However, differences of about 5% on parameterized turbulent kinetic energy were found depending on the turbine coefficient distribution. Furthermore, turbine coefficients that consider interference in the wind farm should be used in wind farm parameterization for larger-scale models to better describe sub-grid scale turbulent processes.« less

Authors:
 [1];  [2];  [2];  [3];  [2];  [1]
  1. Yonsei Univ., Seoul (Republic of Korea)
  2. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
  3. Korea Institute of Atmospheric Prediction System (KIAPS), Seoul (Republic of Korea)
Publication Date:
Research Org.:
Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1255115
Alternate Identifier(s):
OSTI ID: 1359055
Report Number(s):
LA-UR-15-28075
Journal ID: ISSN 0360-5442; PII: S036054421501590X
Grant/Contract Number:  
2013R1A2A2A01015333; 2015R1A5A1037668; 20100040DR; AC52-06NA25396
Resource Type:
Accepted Manuscript
Journal Name:
Energy
Additional Journal Information:
Journal Volume: 95; Journal Issue: C; Journal ID: ISSN 0360-5442
Publisher:
Elsevier
Country of Publication:
United States
Language:
English
Subject:
17 WIND ENERGY; large wind farm; actuator line method; large-eddy simulation; regional-scale simulation; wind farm parameterization; neutral boundary layer

Citation Formats

Na, Ji Sung, Koo, Eunmo, Munoz-Esparza, Domingo, Jin, Emilia Kyung, Linn, Rodman, and Lee, Joon Sang. Turbulent kinetics of a large wind farm and their impact in the neutral boundary layer. United States: N. p., 2015. Web. doi:10.1016/j.energy.2015.11.040.
Na, Ji Sung, Koo, Eunmo, Munoz-Esparza, Domingo, Jin, Emilia Kyung, Linn, Rodman, & Lee, Joon Sang. Turbulent kinetics of a large wind farm and their impact in the neutral boundary layer. United States. https://doi.org/10.1016/j.energy.2015.11.040
Na, Ji Sung, Koo, Eunmo, Munoz-Esparza, Domingo, Jin, Emilia Kyung, Linn, Rodman, and Lee, Joon Sang. Mon . "Turbulent kinetics of a large wind farm and their impact in the neutral boundary layer". United States. https://doi.org/10.1016/j.energy.2015.11.040. https://www.osti.gov/servlets/purl/1255115.
@article{osti_1255115,
title = {Turbulent kinetics of a large wind farm and their impact in the neutral boundary layer},
author = {Na, Ji Sung and Koo, Eunmo and Munoz-Esparza, Domingo and Jin, Emilia Kyung and Linn, Rodman and Lee, Joon Sang},
abstractNote = {High-resolution large-eddy simulation of the flow over a large wind farm (64 wind turbines) is performed using the HIGRAD/FIRETEC-WindBlade model, which is a high-performance computing wind turbine–atmosphere interaction model that uses the Lagrangian actuator line method to represent rotating turbine blades. These high-resolution large-eddy simulation results are used to parameterize the thrust and power coefficients that contain information about turbine interference effects within the wind farm. Those coefficients are then incorporated into the WRF (Weather Research and Forecasting) model in order to evaluate interference effects in larger-scale models. In the high-resolution WindBlade wind farm simulation, insufficient distance between turbines creates the interference between turbines, including significant vertical variations in momentum and turbulent intensity. The characteristics of the wake are further investigated by analyzing the distribution of the vorticity and turbulent intensity. Quadrant analysis in the turbine and post-turbine areas reveals that the ejection motion induced by the presence of the wind turbines is dominant compared to that in the other quadrants, indicating that the sweep motion is increased at the location where strong wake recovery occurs. Regional-scale WRF simulations reveal that although the turbulent mixing induced by the wind farm is partly diffused to the upper region, there is no significant change in the boundary layer depth. The velocity deficit does not appear to be very sensitive to the local distribution of turbine coefficients. However, differences of about 5% on parameterized turbulent kinetic energy were found depending on the turbine coefficient distribution. Furthermore, turbine coefficients that consider interference in the wind farm should be used in wind farm parameterization for larger-scale models to better describe sub-grid scale turbulent processes.},
doi = {10.1016/j.energy.2015.11.040},
journal = {Energy},
number = C,
volume = 95,
place = {United States},
year = {Mon Dec 28 00:00:00 EST 2015},
month = {Mon Dec 28 00:00:00 EST 2015}
}

Journal Article:

Citation Metrics:
Cited by: 14 works
Citation information provided by
Web of Science

Save / Share:

Works referenced in this record:

Wind power meteorology. Part I: climate and turbulence
journal, January 1999


Wind turbine wake aerodynamics
journal, August 2003


On the Climate Impact of Surface Roughness Anomalies
journal, July 2008

  • Kirk-Davidoff, Daniel B.; Keith, David W.
  • Journal of the Atmospheric Sciences, Vol. 65, Issue 7
  • DOI: 10.1175/2007JAS2509.1

The influence of large-scale wind power on global climate
journal, November 2004

  • Keith, D. W.; DeCarolis, J. F.; Denkenberger, D. C.
  • Proceedings of the National Academy of Sciences, Vol. 101, Issue 46
  • DOI: 10.1073/pnas.0406930101

Potential climatic impacts and reliability of very large-scale wind farms
journal, January 2010


Potential climatic impacts and reliability of large-scale offshore wind farms
journal, April 2011


Impacts of wind farms on surface air temperatures
journal, October 2010

  • Baidya Roy, S.; Traiteur, J. J.
  • Proceedings of the National Academy of Sciences, Vol. 107, Issue 42
  • DOI: 10.1073/pnas.1000493107

Local and Mesoscale Impacts of Wind Farms as Parameterized in a Mesoscale NWP Model
journal, September 2012

  • Fitch, Anna C.; Olson, Joseph B.; Lundquist, Julie K.
  • Monthly Weather Review, Vol. 140, Issue 9
  • DOI: 10.1175/MWR-D-11-00352.1

Investigation of Kelvin-Helmholtz instability in the stable boundary layer using large eddy simulation
journal, July 2014

  • Na, Ji Sung; Jin, Emilia Kyung; Lee, Joon Sang
  • Journal of Geophysical Research: Atmospheres, Vol. 119, Issue 13
  • DOI: 10.1002/2013JD021414

Large-eddy simulation of atmospheric boundary layer flow through wind turbines and wind farms
journal, April 2011

  • Porté-Agel, Fernando; Wu, Yu-Ting; Lu, Hao
  • Journal of Wind Engineering and Industrial Aerodynamics, Vol. 99, Issue 4
  • DOI: 10.1016/j.jweia.2011.01.011

Large-eddy simulation of a very large wind farm in a stable atmospheric boundary layer
journal, June 2011

  • Lu, Hao; Porté-Agel, Fernando
  • Physics of Fluids, Vol. 23, Issue 6
  • DOI: 10.1063/1.3589857

Interaction between Large Wind Farms and the Atmospheric Boundary Layer
journal, January 2014


Wind-Turbine Wakes in a Convective Boundary Layer: A Wind-Tunnel Study
journal, July 2012

  • Zhang, Wei; Markfort, Corey D.; Porté-Agel, Fernando
  • Boundary-Layer Meteorology, Vol. 146, Issue 2
  • DOI: 10.1007/s10546-012-9751-4

Validation of FIRETEC wind-flows over a canopy and a fuel-break
journal, January 2009

  • Pimont, François; Dupuy, Jean-Luc; Linn, Rodman R.
  • International Journal of Wildland Fire, Vol. 18, Issue 7
  • DOI: 10.1071/WF07130

Large-Eddy Simulations of Air Flow and Turbulence within and around Low-Aspect-Ratio Cylindrical Open-Top Chambers
journal, August 2013

  • Cunningham, Philip; Linn, Rodman R.; Koo, Eunmo
  • Journal of Applied Meteorology and Climatology, Vol. 52, Issue 8
  • DOI: 10.1175/JAMC-D-12-041.1

MPDATA: A Finite-Difference Solver for Geophysical Flows
journal, March 1998

  • Smolarkiewicz, Piotr K.; Margolin, Len G.
  • Journal of Computational Physics, Vol. 140, Issue 2
  • DOI: 10.1006/jcph.1998.5901

Coupled Atmospheric–Fire Modeling Employing the Method of Averages
journal, October 2000


Canopy element influences on resolved- and subgrid-scale energy within a large-eddy simulation
journal, February 2003


Analytical modelling of wind speed deficit in large offshore wind farms
journal, January 2006

  • Frandsen, Sten; Barthelmie, Rebecca; Pryor, Sara
  • Wind Energy, Vol. 9, Issue 1-2
  • DOI: 10.1002/we.189

Improvement Of The Mellor–Yamada Turbulence Closure Model Based On Large-Eddy Simulation Data
journal, June 2001


Resolved Turbulence Characteristics in Large-Eddy Simulations Nested within Mesoscale Simulations Using the Weather Research and Forecasting Model
journal, February 2014

  • Mirocha, Jeff; Kosović, Branko; Kirkil, Gokhan
  • Monthly Weather Review, Vol. 142, Issue 2
  • DOI: 10.1175/MWR-D-13-00064.1

Bridging the Transition from Mesoscale to Microscale Turbulence in Numerical Weather Prediction Models
journal, August 2014

  • Muñoz-Esparza, Domingo; Kosović, Branko; Mirocha, Jeff
  • Boundary-Layer Meteorology, Vol. 153, Issue 3
  • DOI: 10.1007/s10546-014-9956-9

A Large Eddy Simulation Study of a Quasi-Steady, Stably Stratified Atmospheric Boundary Layer
journal, April 2000


Works referencing / citing this record:

Wind-Turbine and Wind-Farm Flows: A Review
journal, September 2019

  • Porté-Agel, Fernando; Bastankhah, Majid; Shamsoddin, Sina
  • Boundary-Layer Meteorology, Vol. 174, Issue 1
  • DOI: 10.1007/s10546-019-00473-0

Wind-Turbine and Wind-Farm Flows: A Review
journal, September 2019

  • Porté-Agel, Fernando; Bastankhah, Majid; Shamsoddin, Sina
  • Boundary-Layer Meteorology, Vol. 174, Issue 1
  • DOI: 10.1007/s10546-019-00473-0