The Long distance wake behind Horns Rev I studied using large eddy simulations and a wind turbine parameterization in WRF

Conference Paper

Title: The Long distance wake behind Horns Rev I studied using large eddy simulations and a wind turbine parameterization in WRF

Author:

Eriksson, O.; Baltscheffsky, M.; Breton, S-P.; Söderberg, S.; Ivanell, S.

Publication Date:

May 1, 2017

Event Name:

Wake Conference 2017

Event Location:

Visby, Sweden

Pages:

012012

Publisher:

IOP Publishing

Affiliation

Uppsala University, WeatherTech Scandinavia

Technology:

Wind Energy, Fixed Offshore Wind

Stressor:

Changes in Flow

Receptor:

Physical Environment

Language:

English

Document Access

Website:

External Link

Citation

Eriksson, O.; Baltscheffsky, M.; Breton, S-P.; Söderberg, S.; Ivanell, S. (2017). The Long distance wake behind Horns Rev I studied using large eddy simulations and a wind turbine parameterization in WRF. Paper presented at Wake Conference 2017, Visby, Sweden. https://doi.org/10.1088/1742-6596/854/1/012012

@conference{Eriksson-2017-,
author = {Eriksson, O and Baltscheffsky, M and Breton, S-P and Söderberg, S and Ivanell, S},
title = {The Long distance wake behind Horns Rev I studied using large eddy simulations and a wind turbine parameterization in WRF},
year = {2017},
month = {may},
series = {Wake Conference 2017},
pages = {012012},
address = {Visby, Sweden},
publisher = {IOP Publishing},
doi = {10.1088/1742-6596/854/1/012012},
url = {https://iopscience.iop.org/article/10.1088/1742-6596/854/1/012012/meta},
keywords = {Wind Energy, Fixed Offshore Wind, Changes in Flow, Physical Environment},
}

Export Citation to BibTex

TY - CONF
TI - The Long distance wake behind Horns Rev I studied using large eddy simulations and a wind turbine parameterization in WRF
AU - Eriksson, O
AU - Baltscheffsky, M
AU - Breton, S-P
AU - Söderberg, S
AU - Ivanell, S
T2 - Wake Conference 2017
C1 - Visby, Sweden
AB - The aim of the present paper is to obtain a better understanding of long distance wakes generated by wind farms as a first step towards a better understanding of farm to farm interaction. The Horns Rev I (HR) wind farm is considered for this purpose, where comparisons are performed between microscale Large Eddy Simulations (LES) using an Actuator Disc model (ACD), mesoscale simulations in the Weather Research and Forecasting Model (WRF) using a wind turbine parameterization, production data as well as wind measurements in the wind farm wake.The LES is manually set up according to the wind conditions obtained from the mesoscale simulation as a first step towards a meso/microscale coupling. The LES using an ACD are performed in the EllipSys3D code. A forced boundary layer (FBL) approach is used to introduce the desired wind shear and the atmospheric turbulence field from the Mann model. The WRF uses a wind turbine parameterization based on momentum sink. To make comparisons with the LESs and the site data possible an idealized setup of WRF is used in this study.The case studied here considers a westerly wind direction sector (at hub height) of 270 ± 2.5 degrees and a wind speed of 8 ± 0.5 m/s. For both the simulations and the site data a neutral atmosphere is considered. The simulation results for the relative production as well as the wind speed 2 km and 6 km downstream from the wind farm are compared to site data. Further comparisons between LES and WRF are also performed regarding the wake recovery and expansion.The results are also compared to an earlier study of HR using LES as well as an earlier comparison of LES and WRF. Overall the results in this study show a better agreement between LES and WRF as well as better agreement between simulations and site data.The procedure of using the profile from WRF as inlet to LES can be seen as a simplified coupling of the models that could be developed further to combine the methods for cases of farm to farm interaction.
DA - 2017/05//
PY - 2017
SP - 012012
PB - IOP Publishing
UR - https://iopscience.iop.org/article/10.1088/1742-6596/854/1/012012/meta
DO - 10.1088/1742-6596/854/1/012012
LA - English
KW - Wind Energy
KW - Fixed Offshore Wind
KW - Changes in Flow
KW - Physical Environment
ER -

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Abstract

The aim of the present paper is to obtain a better understanding of long distance wakes generated by wind farms as a first step towards a better understanding of farm to farm interaction. The Horns Rev I (HR) wind farm is considered for this purpose, where comparisons are performed between microscale Large Eddy Simulations (LES) using an Actuator Disc model (ACD), mesoscale simulations in the Weather Research and Forecasting Model (WRF) using a wind turbine parameterization, production data as well as wind measurements in the wind farm wake.

The LES is manually set up according to the wind conditions obtained from the mesoscale simulation as a first step towards a meso/microscale coupling. The LES using an ACD are performed in the EllipSys3D code. A forced boundary layer (FBL) approach is used to introduce the desired wind shear and the atmospheric turbulence field from the Mann model. The WRF uses a wind turbine parameterization based on momentum sink. To make comparisons with the LESs and the site data possible an idealized setup of WRF is used in this study.

The case studied here considers a westerly wind direction sector (at hub height) of 270 ± 2.5 degrees and a wind speed of 8 ± 0.5 m/s. For both the simulations and the site data a neutral atmosphere is considered. The simulation results for the relative production as well as the wind speed 2 km and 6 km downstream from the wind farm are compared to site data. Further comparisons between LES and WRF are also performed regarding the wake recovery and expansion.

The results are also compared to an earlier study of HR using LES as well as an earlier comparison of LES and WRF. Overall the results in this study show a better agreement between LES and WRF as well as better agreement between simulations and site data.

The procedure of using the profile from WRF as inlet to LES can be seen as a simplified coupling of the models that could be developed further to combine the methods for cases of farm to farm interaction.