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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. Here 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 calculation. Ultimately, the model is able to capture both the dynamics of the frontal passage and the turbine response; predictions show good agreement with observed background velocity, turbine wake structure, and power output after accounting for a phase shift in the mesoscale forcing. This study demonstrates the utility of the WRF-GADmore » model framework for simulating wind farm performance under complex atmospheric conditions.« less

Authors:
ORCiD logo [1];  [1];  [2];  [3];  [4];  [1];  [2]
  1. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
  2. Univ. of California, Berkeley, CA (United States)
  3. Texas Tech Univ., Lubbock, TX (United States). National Wind Inst.
  4. Texas Tech Univ., Lubbock, TX (United States). National Wind Inst.
Publication Date:
Research Org.:
Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA); USDOE Office of Energy Efficiency and Renewable Energy (EERE), Wind Energy Technologies Office (EE-4WE)
OSTI Identifier:
1608085
Report Number(s):
LLNL-JRNL-798912
Journal ID: ISSN 2073-4433; ATMOCZ; 1001231
Grant/Contract Number:  
AC52-07NA27344
Resource Type:
Accepted Manuscript
Journal Name:
Atmosphere (Basel)
Additional Journal Information:
Journal Name: Atmosphere (Basel); Journal Volume: 11; Journal Issue: 3; Journal ID: ISSN 2073-4433
Publisher:
MDPI
Country of Publication:
United States
Language:
English
Subject:
17 WIND ENERGY; 97 MATHEMATICS AND COMPUTING; 54 ENVIRONMENTAL SCIENCES; Wind turbine wakes; large-eddy simulation; generalized actuator disk model; Weather Research and Forecasting model

Citation Formats

Arthur, Robert S., Mirocha, Jeffrey D., Marjanovic, Nikola, Hirth, Brian D., Schroeder, John L., Wharton, Sonia, and Chow, Fotini K. Multi-Scale Simulation of Wind Farm Performance during a Frontal Passage. United States: N. p., 2020. Web. doi:10.3390/atmos11030245.
Arthur, Robert S., Mirocha, Jeffrey D., Marjanovic, Nikola, Hirth, Brian D., Schroeder, John L., Wharton, Sonia, & Chow, Fotini K. Multi-Scale Simulation of Wind Farm Performance during a Frontal Passage. United States. doi:https://doi.org/10.3390/atmos11030245
Arthur, Robert S., Mirocha, Jeffrey D., Marjanovic, Nikola, Hirth, Brian D., Schroeder, John L., Wharton, Sonia, and Chow, Fotini K. Sat . "Multi-Scale Simulation of Wind Farm Performance during a Frontal Passage". United States. doi:https://doi.org/10.3390/atmos11030245. https://www.osti.gov/servlets/purl/1608085.
@article{osti_1608085,
title = {Multi-Scale Simulation of Wind Farm Performance during a Frontal Passage},
author = {Arthur, Robert S. and Mirocha, Jeffrey D. and Marjanovic, Nikola and Hirth, Brian D. and Schroeder, John L. and Wharton, Sonia and Chow, Fotini K.},
abstractNote = {Predicting the response of wind farms to changing flow conditions is necessary for optimal design and operation. Here 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 calculation. Ultimately, the model is able to capture both the dynamics of the frontal passage and the turbine response; predictions show good agreement with observed background velocity, turbine wake structure, and power output after accounting for a phase shift in the mesoscale forcing. This study demonstrates the utility of the WRF-GAD model framework for simulating wind farm performance under complex atmospheric conditions.},
doi = {10.3390/atmos11030245},
journal = {Atmosphere (Basel)},
number = 3,
volume = 11,
place = {United States},
year = {2020},
month = {2}
}

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