Meso-microscale coupling for wind resource assessment using averaged atmospheric stability conditions

Pablo Durán; Cathérine Meissner; Kendall Rutledge; Ricardo Fonseca; Javier Martin-Torres; Muyiwa S. Adaramola

doi:10.1127/metz/2019/0937

Meso-microscale coupling for wind resource assessment using averaged atmospheric stability conditions

Pablo Durán^*, Cathérine Meissner, Kendall Rutledge, Ricardo Fonseca, Javier Martin-Torres, Muyiwa S. Adaramola

^*Corresponding author for this work

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Abstract

A methodology to couple Numerical Weather Prediction (NWP) models with steady-state Computational Fluid Dynamic (CFD) models for wind resource assessment applications is proposed. NWP simulations are averaged according to their atmospheric stability and wind direction. The averaged NWP simulations are used to generate the initial and boundary conditions of the CFD model. The method is applied using one year of Weather Research and Forecasting (WRF) simulations at the Honkajoki wind farm in Finland and validated by Sonic Detection and Ranging (SODAR) measurements at the site. It is shown that coupled simulations reproduce a more realistic shear for heights above 150 m. In terms of estimated energy production, there is not a big difference between coupled and standalone models. Nevertheless, a considerable difference in the horizontal wind speed patterns can be seen between the coupled and non-coupled approaches. The WRF model resolution has only a small influence on the coupled CFD results.

Original language	English
Pages (from-to)	273-291
Number of pages	19
Journal	Meteorologische Zeitschrift
Volume	28
Issue number	4
Early online date	20 Sept 2019
DOIs	https://doi.org/10.1127/metz/2019/0937
Publication status	Published - 21 Nov 2019

Bibliographical note

This research was supported by a grant from The Norwegian Research Council, project number 271080. We acknowledge Botnia-Atlantica, an EU-programme
financing cross border cooperation projects in Sweden, Finland and Norway, for their support of this work through the WindCoE project. We would like to thank the High Performance Computing Center North (HPC2N) for providing the computer resources needed to perform the numerical experiments presented in this paper. We would also like to thank the two anonymous reviewers for their useful comments.

Keywords

Mesoscale microscale coupling
Wind energy resource assessmente
Computational fluid dynamics (CFD)
Physical downscaling
Boundary conditions

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Cite this

@article{50796f12d7e04120a18c707b54d7bab1,

title = "Meso-microscale coupling for wind resource assessment using averaged atmospheric stability conditions",

abstract = "A methodology to couple Numerical Weather Prediction (NWP) models with steady-state Computational Fluid Dynamic (CFD) models for wind resource assessment applications is proposed. NWP simulations are averaged according to their atmospheric stability and wind direction. The averaged NWP simulations are used to generate the initial and boundary conditions of the CFD model. The method is applied using one year of Weather Research and Forecasting (WRF) simulations at the Honkajoki wind farm in Finland and validated by Sonic Detection and Ranging (SODAR) measurements at the site. It is shown that coupled simulations reproduce a more realistic shear for heights above 150 m. In terms of estimated energy production, there is not a big difference between coupled and standalone models. Nevertheless, a considerable difference in the horizontal wind speed patterns can be seen between the coupled and non-coupled approaches. The WRF model resolution has only a small influence on the coupled CFD results.",

keywords = "Mesoscale microscale coupling, Wind energy resource assessmente, Computational fluid dynamics (CFD), Physical downscaling, Boundary conditions",

author = "Pablo Dur{\'a}n and Cath{\'e}rine Meissner and Kendall Rutledge and Ricardo Fonseca and Javier Martin-Torres and Adaramola, {Muyiwa S.}",

note = "This research was supported by a grant from The Norwegian Research Council, project number 271080. We acknowledge Botnia-Atlantica, an EU-programme financing cross border cooperation projects in Sweden, Finland and Norway, for their support of this work through the WindCoE project. We would like to thank the High Performance Computing Center North (HPC2N) for providing the computer resources needed to perform the numerical experiments presented in this paper. We would also like to thank the two anonymous reviewers for their useful comments.",

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AU - Durán, Pablo

AU - Meissner, Cathérine

AU - Rutledge, Kendall

AU - Fonseca, Ricardo

AU - Martin-Torres, Javier

AU - Adaramola, Muyiwa S.

N1 - This research was supported by a grant from The Norwegian Research Council, project number 271080. We acknowledge Botnia-Atlantica, an EU-programme financing cross border cooperation projects in Sweden, Finland and Norway, for their support of this work through the WindCoE project. We would like to thank the High Performance Computing Center North (HPC2N) for providing the computer resources needed to perform the numerical experiments presented in this paper. We would also like to thank the two anonymous reviewers for their useful comments.

PY - 2019/11/21

Y1 - 2019/11/21

N2 - A methodology to couple Numerical Weather Prediction (NWP) models with steady-state Computational Fluid Dynamic (CFD) models for wind resource assessment applications is proposed. NWP simulations are averaged according to their atmospheric stability and wind direction. The averaged NWP simulations are used to generate the initial and boundary conditions of the CFD model. The method is applied using one year of Weather Research and Forecasting (WRF) simulations at the Honkajoki wind farm in Finland and validated by Sonic Detection and Ranging (SODAR) measurements at the site. It is shown that coupled simulations reproduce a more realistic shear for heights above 150 m. In terms of estimated energy production, there is not a big difference between coupled and standalone models. Nevertheless, a considerable difference in the horizontal wind speed patterns can be seen between the coupled and non-coupled approaches. The WRF model resolution has only a small influence on the coupled CFD results.

AB - A methodology to couple Numerical Weather Prediction (NWP) models with steady-state Computational Fluid Dynamic (CFD) models for wind resource assessment applications is proposed. NWP simulations are averaged according to their atmospheric stability and wind direction. The averaged NWP simulations are used to generate the initial and boundary conditions of the CFD model. The method is applied using one year of Weather Research and Forecasting (WRF) simulations at the Honkajoki wind farm in Finland and validated by Sonic Detection and Ranging (SODAR) measurements at the site. It is shown that coupled simulations reproduce a more realistic shear for heights above 150 m. In terms of estimated energy production, there is not a big difference between coupled and standalone models. Nevertheless, a considerable difference in the horizontal wind speed patterns can be seen between the coupled and non-coupled approaches. The WRF model resolution has only a small influence on the coupled CFD results.

KW - Mesoscale microscale coupling

KW - Wind energy resource assessmente

KW - Computational fluid dynamics (CFD)

KW - Physical downscaling

KW - Boundary conditions

U2 - 10.1127/metz/2019/0937

DO - 10.1127/metz/2019/0937

M3 - Article

SN - 0941-2948

VL - 28

SP - 273

EP - 291

JO - Meteorologische Zeitschrift

JF - Meteorologische Zeitschrift

IS - 4

ER -

Meso-microscale coupling for wind resource assessment using averaged atmospheric stability conditions

Abstract

Bibliographical note

Keywords

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