TY - JOUR
T1 - Dependence of optimal wind turbine spacing on wind farm length
AU - Stevens, Richard J.A.M.
N1 - Funding Information:
The author thanks Charles Meneveau and Dennice Gayme for valuable conversations and comments. This work is funded in part by the research program ''Fellowships for Young Energy Scientists'' (YES!) of the Foundation for Fundamental Research on Matter (FOM) supported by the Netherlands Organization for Scientific Research (NWO) and by the National Science Foundation grant number 1243482 (the WINDINSPIRE project). This work used the Extreme Science and Engineering Discovery Environment (XSEDE), which is supported by the National Science Foundation grant number OCI-1053575 and the LISA cluster of SURFsara in the Netherlands.
Publisher Copyright:
Copyright © 2015 John Wiley & Sons, Ltd.
PY - 2016/4/1
Y1 - 2016/4/1
N2 - Recent large eddy simulations have led to improved parameterizations of the effective roughness height of wind farms. This effective roughness height can be used to predict the wind velocity at hub-height as function of the geometric mean of the spanwise and streamwise turbine spacings and the turbine loading factors. Recently, Meyers and Meneveau used these parameterizations to make predictions for the optimal wind turbine spacing in infinitely large wind farms. They found that for a realistic cost ratio between the turbines and the used land surface, the optimal turbine spacing may be considerably larger than that used in conventional wind farms. Here, we extend this analysis by taking the length of the wind farm, i.e. the number of rows in the downstream direction into account and show that the optimal turbine spacing strongly depends on the wind farm length. For small to moderately sized wind farms, the model predictions are consistent with spacings found in operational wind farms. For much larger wind farms, the extended optimal spacing found for infinite wind farms is confirmed.
AB - Recent large eddy simulations have led to improved parameterizations of the effective roughness height of wind farms. This effective roughness height can be used to predict the wind velocity at hub-height as function of the geometric mean of the spanwise and streamwise turbine spacings and the turbine loading factors. Recently, Meyers and Meneveau used these parameterizations to make predictions for the optimal wind turbine spacing in infinitely large wind farms. They found that for a realistic cost ratio between the turbines and the used land surface, the optimal turbine spacing may be considerably larger than that used in conventional wind farms. Here, we extend this analysis by taking the length of the wind farm, i.e. the number of rows in the downstream direction into account and show that the optimal turbine spacing strongly depends on the wind farm length. For small to moderately sized wind farms, the model predictions are consistent with spacings found in operational wind farms. For much larger wind farms, the extended optimal spacing found for infinite wind farms is confirmed.
KW - Large eddy simulations
KW - Top-down model
KW - Turbine spacing
KW - Wind energy
KW - 2023 OA procedure
UR - https://www.scopus.com/pages/publications/84960146231
U2 - 10.1002/we.1857
DO - 10.1002/we.1857
M3 - Article
SN - 1095-4244
VL - 19
SP - 651
EP - 663
JO - Wind energy
JF - Wind energy
IS - 4
ER -