Multi-Scale Simulation of Wind Farm Performance during a Frontal Passage

Robert Arthur; Jeffrey Mirocha; Nikola Marjanovic; Brian Hirth; John Schroeder; Sonia Wharton; Fotini Chow

Multi-Scale Simulation of Wind Farm Performance during a Frontal Passage

Robert Arthur, Jeffrey Mirocha, Nikola Marjanovic, Brian Hirth, John Schroeder, Sonia Wharton, Fotini Chow

Research output: Contribution to journal › Article › peer-review

Abstract

Predicting the response of wind farms to changing flow conditions is necessary for optimal design and operation. In this work, simulation and analysis of a frontal passage through a utility scale wind farm is achieved for the first time using a seamless multi-scale modeling approach. A generalized actuator disk (GAD) wind turbine model is used to represent turbine–flow interaction, and results are compared to novel radar observations during the frontal passage. The Weather Research and Forecasting (WRF) model is employed with a nested grid setup that allows for coupling between multi-scale atmospheric conditions and turbine response. Starting with mesoscale forcing, the atmosphere is dynamically downscaled to the region of interest, where the interaction between turbulent flows and individual wind turbines is simulated with 10 m grid spacing. Several improvements are made to the GAD model to mimic realistic turbine operation, including a yawing capability and a power output calculatio

Original language	English
Pages (from-to)	245
Journal	Atmosphere
State	Published - Feb 29 2020

Fingerprint Dive into the research topics of 'Multi-Scale Simulation of Wind Farm Performance during a Frontal Passage'. Together they form a unique fingerprint.

Cite this

@article{f968d40ae87a4b76a3f299596def4922,

title = "Multi-Scale Simulation of Wind Farm Performance during a Frontal Passage",

abstract = "Predicting the response of wind farms to changing flow conditions is necessary for optimal design and operation. In this work, simulation and analysis of a frontal passage through a utility scale wind farm is achieved for the first time using a seamless multi-scale modeling approach. A generalized actuator disk (GAD) wind turbine model is used to represent turbine–flow interaction, and results are compared to novel radar observations during the frontal passage. The Weather Research and Forecasting (WRF) model is employed with a nested grid setup that allows for coupling between multi-scale atmospheric conditions and turbine response. Starting with mesoscale forcing, the atmosphere is dynamically downscaled to the region of interest, where the interaction between turbulent flows and individual wind turbines is simulated with 10 m grid spacing. Several improvements are made to the GAD model to mimic realistic turbine operation, including a yawing capability and a power output calculatio",

author = "Robert Arthur and Jeffrey Mirocha and Nikola Marjanovic and Brian Hirth and John Schroeder and Sonia Wharton and Fotini Chow",

year = "2020",

month = feb,

day = "29",

language = "English",

pages = "245",

journal = "Atmosphere",

publisher = "Multidisciplinary Digital Publishing Institute",

}

TY - JOUR

T1 - Multi-Scale Simulation of Wind Farm Performance during a Frontal Passage

AU - Arthur, Robert

AU - Mirocha, Jeffrey

AU - Marjanovic, Nikola

AU - Hirth, Brian

AU - Schroeder, John

AU - Wharton, Sonia

AU - Chow, Fotini

PY - 2020/2/29

Y1 - 2020/2/29

N2 - Predicting the response of wind farms to changing flow conditions is necessary for optimal design and operation. In this work, simulation and analysis of a frontal passage through a utility scale wind farm is achieved for the first time using a seamless multi-scale modeling approach. A generalized actuator disk (GAD) wind turbine model is used to represent turbine–flow interaction, and results are compared to novel radar observations during the frontal passage. The Weather Research and Forecasting (WRF) model is employed with a nested grid setup that allows for coupling between multi-scale atmospheric conditions and turbine response. Starting with mesoscale forcing, the atmosphere is dynamically downscaled to the region of interest, where the interaction between turbulent flows and individual wind turbines is simulated with 10 m grid spacing. Several improvements are made to the GAD model to mimic realistic turbine operation, including a yawing capability and a power output calculatio

AB - Predicting the response of wind farms to changing flow conditions is necessary for optimal design and operation. In this work, simulation and analysis of a frontal passage through a utility scale wind farm is achieved for the first time using a seamless multi-scale modeling approach. A generalized actuator disk (GAD) wind turbine model is used to represent turbine–flow interaction, and results are compared to novel radar observations during the frontal passage. The Weather Research and Forecasting (WRF) model is employed with a nested grid setup that allows for coupling between multi-scale atmospheric conditions and turbine response. Starting with mesoscale forcing, the atmosphere is dynamically downscaled to the region of interest, where the interaction between turbulent flows and individual wind turbines is simulated with 10 m grid spacing. Several improvements are made to the GAD model to mimic realistic turbine operation, including a yawing capability and a power output calculatio

M3 - Article

SP - 245

JO - Atmosphere

JF - Atmosphere

ER -