Implementing the Dynamic Wake Meandering Model in the NWTC Design Codes

Matthew Churchfield; Patrick Moriarty; Yujia Hao; Matthew Lackner; Rolf-Erik Keck; Sang Lee

doi:10.2514/6.2014-1089

Implementing the Dynamic Wake Meandering Model in the NWTC Design Codes

Matthew Churchfield, Patrick Moriarty, Yujia Hao, Matthew Lackner, Rolf-Erik Keck, Sang Lee

National Wind Technology Center

Research output: Contribution to conference › Paper › peer-review

14 Scopus Citations

Abstract

This paper focuses on implementing the dynamic wake meandering (DWM) model in the National Wind Technology Center (NWTC) design code framework. The DWM model calculates the wake deficit and the meandered wake center behind a wind turbine. The advantage of incorporating the DWM model into the NWTC design codes is to provide the ability to simulate unsteady wake effects and examine their impact on power generation, structural loads, and turbine control schemes, while maintaining an acceptably low computational cost. In the present paper, the method of implementing the DWM model into the NWTC design codes is described. In addition, the performance of the DWM model is verified by comparing the generated turbine power and blade loads with high-fidelity large-eddy simulation (LES) and field data for North Hoyle and Lillgrund wind farm. It was found that the results from the DWM model are in good agreement with the LES results and the field data. Further efforts are in pursuit to allow simulations of a full wind farm with an arbitrary wind turbine layout and incoming flow directions which are briefly described in this paper.

Original language	American English
DOIs	https://doi.org/10.2514/6.2014-1089 https://doi.org/10.2514/6.2014-1089
State	Published - 2014
Event	32nd ASME Wind Energy Symposium - SciTech Forum and Exposition 2014 - National Harbor, MD, United States Duration: 13 Jan 2014 → 17 Jan 2014

Conference

Conference	32nd ASME Wind Energy Symposium - SciTech Forum and Exposition 2014
Country/Territory	United States
City	National Harbor, MD
Period	13/01/14 → 17/01/14

Bibliographical note

Paper never sent for approvals before being presented at and published by the conference in January 2014

NREL Publication Number

NREL/CP-5000-61115

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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title = "Implementing the Dynamic Wake Meandering Model in the NWTC Design Codes",

abstract = "This paper focuses on implementing the dynamic wake meandering (DWM) model in the National Wind Technology Center (NWTC) design code framework. The DWM model calculates the wake deficit and the meandered wake center behind a wind turbine. The advantage of incorporating the DWM model into the NWTC design codes is to provide the ability to simulate unsteady wake effects and examine their impact on power generation, structural loads, and turbine control schemes, while maintaining an acceptably low computational cost. In the present paper, the method of implementing the DWM model into the NWTC design codes is described. In addition, the performance of the DWM model is verified by comparing the generated turbine power and blade loads with high-fidelity large-eddy simulation (LES) and field data for North Hoyle and Lillgrund wind farm. It was found that the results from the DWM model are in good agreement with the LES results and the field data. Further efforts are in pursuit to allow simulations of a full wind farm with an arbitrary wind turbine layout and incoming flow directions which are briefly described in this paper.",

author = "Matthew Churchfield and Patrick Moriarty and Yujia Hao and Matthew Lackner and Rolf-Erik Keck and Sang Lee",

note = "Paper never sent for approvals before being presented at and published by the conference in January 2014; 32nd ASME Wind Energy Symposium - SciTech Forum and Exposition 2014 ; Conference date: 13-01-2014 Through 17-01-2014",

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doi = "10.2514/6.2014-1089",

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AU - Churchfield, Matthew

AU - Moriarty, Patrick

AU - Hao, Yujia

AU - Lackner, Matthew

AU - Keck, Rolf-Erik

AU - Lee, Sang

N1 - Paper never sent for approvals before being presented at and published by the conference in January 2014

PY - 2014

Y1 - 2014

N2 - This paper focuses on implementing the dynamic wake meandering (DWM) model in the National Wind Technology Center (NWTC) design code framework. The DWM model calculates the wake deficit and the meandered wake center behind a wind turbine. The advantage of incorporating the DWM model into the NWTC design codes is to provide the ability to simulate unsteady wake effects and examine their impact on power generation, structural loads, and turbine control schemes, while maintaining an acceptably low computational cost. In the present paper, the method of implementing the DWM model into the NWTC design codes is described. In addition, the performance of the DWM model is verified by comparing the generated turbine power and blade loads with high-fidelity large-eddy simulation (LES) and field data for North Hoyle and Lillgrund wind farm. It was found that the results from the DWM model are in good agreement with the LES results and the field data. Further efforts are in pursuit to allow simulations of a full wind farm with an arbitrary wind turbine layout and incoming flow directions which are briefly described in this paper.

AB - This paper focuses on implementing the dynamic wake meandering (DWM) model in the National Wind Technology Center (NWTC) design code framework. The DWM model calculates the wake deficit and the meandered wake center behind a wind turbine. The advantage of incorporating the DWM model into the NWTC design codes is to provide the ability to simulate unsteady wake effects and examine their impact on power generation, structural loads, and turbine control schemes, while maintaining an acceptably low computational cost. In the present paper, the method of implementing the DWM model into the NWTC design codes is described. In addition, the performance of the DWM model is verified by comparing the generated turbine power and blade loads with high-fidelity large-eddy simulation (LES) and field data for North Hoyle and Lillgrund wind farm. It was found that the results from the DWM model are in good agreement with the LES results and the field data. Further efforts are in pursuit to allow simulations of a full wind farm with an arbitrary wind turbine layout and incoming flow directions which are briefly described in this paper.

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Y2 - 13 January 2014 through 17 January 2014

ER -

Implementing the Dynamic Wake Meandering Model in the NWTC Design Codes

Abstract

Conference

Bibliographical note

NREL Publication Number

UN SDGs

Access to Document

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Cite this