Numerical investigations into the idealized diurnal cycle of atmospheric boundary layer and its impact on wind turbine's power performance

Linlin Tian, Yilei Song, Ning Zhao*, Wen Zhong Shen, Tongguang Wang, Chunling Zhu

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

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Abstract

The power generated by a wind turbine largely depends on the properties of wind resource. In this work, wind characteristics in different regimes occurring throughout the idealized diurnal cycle and its impact on wind turbine's power performance are investigated systematically by means of large-eddy simulation (LES), and blade element momentum method (BEM), respectively. Through a precursor simulation of the atmospheric boundary layer (ABL) over a homogenous surface throughout a day, it is found that the resulting shapes of wind profiles (including wind speed, wind direction and turbulence level) vary significantly at different time periods, induced by distinct stabilities of the atmosphere. The simulated wind field data are then applied to a NREL 5 MW wind turbine for its power evaluation. Due to variabilities in wind shear and turbulence, the equivalent (disk-averaged) wind speed is introduced for power prediction. It is found that the magnitude and fluctuation of turbine's diurnal power are closely related to the atmospheric stability. In general, the average power production is higher under convective conditions during the day than under stable conditions at night, with a difference approaching 24.4%. This indicates that wind energy resource assessment will close to reality and benefit from increased accuracy if atmospheric stability impacts are considered for turbine's power predictions.
Original languageEnglish
JournalRenewable Energy
Volume145
Pages (from-to)419-427
Number of pages9
ISSN0960-1481
DOIs
Publication statusPublished - 2020

Keywords

  • Atmospheric boundary layer (ABL)
  • Atmospheric stability
  • Diurnal wind characteristics
  • Large-eddy simulation
  • Wind power output
  • Wind turbine

Cite this

@article{e3476d949d8e443c89b4784952c82f17,
title = "Numerical investigations into the idealized diurnal cycle of atmospheric boundary layer and its impact on wind turbine's power performance",
abstract = "The power generated by a wind turbine largely depends on the properties of wind resource. In this work, wind characteristics in different regimes occurring throughout the idealized diurnal cycle and its impact on wind turbine's power performance are investigated systematically by means of large-eddy simulation (LES), and blade element momentum method (BEM), respectively. Through a precursor simulation of the atmospheric boundary layer (ABL) over a homogenous surface throughout a day, it is found that the resulting shapes of wind profiles (including wind speed, wind direction and turbulence level) vary significantly at different time periods, induced by distinct stabilities of the atmosphere. The simulated wind field data are then applied to a NREL 5 MW wind turbine for its power evaluation. Due to variabilities in wind shear and turbulence, the equivalent (disk-averaged) wind speed is introduced for power prediction. It is found that the magnitude and fluctuation of turbine's diurnal power are closely related to the atmospheric stability. In general, the average power production is higher under convective conditions during the day than under stable conditions at night, with a difference approaching 24.4{\%}. This indicates that wind energy resource assessment will close to reality and benefit from increased accuracy if atmospheric stability impacts are considered for turbine's power predictions.",
keywords = "Atmospheric boundary layer (ABL), Atmospheric stability, Diurnal wind characteristics, Large-eddy simulation, Wind power output, Wind turbine",
author = "Linlin Tian and Yilei Song and Ning Zhao and Shen, {Wen Zhong} and Tongguang Wang and Chunling Zhu",
year = "2020",
doi = "10.1016/j.renene.2019.05.038",
language = "English",
volume = "145",
pages = "419--427",
journal = "Renewable Energy",
issn = "0960-1481",
publisher = "Pergamon Press",

}

Numerical investigations into the idealized diurnal cycle of atmospheric boundary layer and its impact on wind turbine's power performance. / Tian, Linlin; Song, Yilei; Zhao, Ning; Shen, Wen Zhong; Wang, Tongguang; Zhu, Chunling.

In: Renewable Energy, Vol. 145, 2020, p. 419-427.

Research output: Contribution to journalJournal articleResearchpeer-review

TY - JOUR

T1 - Numerical investigations into the idealized diurnal cycle of atmospheric boundary layer and its impact on wind turbine's power performance

AU - Tian, Linlin

AU - Song, Yilei

AU - Zhao, Ning

AU - Shen, Wen Zhong

AU - Wang, Tongguang

AU - Zhu, Chunling

PY - 2020

Y1 - 2020

N2 - The power generated by a wind turbine largely depends on the properties of wind resource. In this work, wind characteristics in different regimes occurring throughout the idealized diurnal cycle and its impact on wind turbine's power performance are investigated systematically by means of large-eddy simulation (LES), and blade element momentum method (BEM), respectively. Through a precursor simulation of the atmospheric boundary layer (ABL) over a homogenous surface throughout a day, it is found that the resulting shapes of wind profiles (including wind speed, wind direction and turbulence level) vary significantly at different time periods, induced by distinct stabilities of the atmosphere. The simulated wind field data are then applied to a NREL 5 MW wind turbine for its power evaluation. Due to variabilities in wind shear and turbulence, the equivalent (disk-averaged) wind speed is introduced for power prediction. It is found that the magnitude and fluctuation of turbine's diurnal power are closely related to the atmospheric stability. In general, the average power production is higher under convective conditions during the day than under stable conditions at night, with a difference approaching 24.4%. This indicates that wind energy resource assessment will close to reality and benefit from increased accuracy if atmospheric stability impacts are considered for turbine's power predictions.

AB - The power generated by a wind turbine largely depends on the properties of wind resource. In this work, wind characteristics in different regimes occurring throughout the idealized diurnal cycle and its impact on wind turbine's power performance are investigated systematically by means of large-eddy simulation (LES), and blade element momentum method (BEM), respectively. Through a precursor simulation of the atmospheric boundary layer (ABL) over a homogenous surface throughout a day, it is found that the resulting shapes of wind profiles (including wind speed, wind direction and turbulence level) vary significantly at different time periods, induced by distinct stabilities of the atmosphere. The simulated wind field data are then applied to a NREL 5 MW wind turbine for its power evaluation. Due to variabilities in wind shear and turbulence, the equivalent (disk-averaged) wind speed is introduced for power prediction. It is found that the magnitude and fluctuation of turbine's diurnal power are closely related to the atmospheric stability. In general, the average power production is higher under convective conditions during the day than under stable conditions at night, with a difference approaching 24.4%. This indicates that wind energy resource assessment will close to reality and benefit from increased accuracy if atmospheric stability impacts are considered for turbine's power predictions.

KW - Atmospheric boundary layer (ABL)

KW - Atmospheric stability

KW - Diurnal wind characteristics

KW - Large-eddy simulation

KW - Wind power output

KW - Wind turbine

U2 - 10.1016/j.renene.2019.05.038

DO - 10.1016/j.renene.2019.05.038

M3 - Journal article

VL - 145

SP - 419

EP - 427

JO - Renewable Energy

JF - Renewable Energy

SN - 0960-1481

ER -