On Bridging A Modeling Scale Gap: Mesoscale to Microscale Coupling for Wind Energy
Abstract
Accurately representing flow across the mesoscale to the microscale is a persistent roadblock for completing realistic microscale simulations. The science challenges that must be addressed to coupling at these scales include the following: 1) What is necessary to capture the variability of the mesoscale flow, and how do we avoid generating spurious rolls within the terra incognita between the scales? 2) Which methods effectively couple the mesoscale to the microscale and capture the correct nonstationary features at the microscale? 3) What are the best methods to initialize turbulence at the microscale? 4) What is the best way to handle the surface-layer parameterizations consistently at the mesoscale and the microscale? 5) How do we assess the impact of improvements in each of these aspects and quantify the uncertainty in the simulations? The U.S. Department of Energy Mesoscale-to-Microscale-Coupling project seeks to develop, verify, and validate physical models and modeling techniques that bridge the most important atmospheric scales determining wind plant performance and reliability, which impacts many meteorological applications. The approach begins with choosing case days that are interesting for wind energy for which there are observational data for validation. The team has focused on modeling nonstationary conditions for both flat and complexmore »
- Authors:
-
- National Center for Atmospheric Research, Boulder, CO (United States)
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
- National Renewable Energy Lab. (NREL), Golden, CO (United States)
- National Oceanic and Atmospheric Administration (NOAA), Washington, DC (United States)
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
- Argonne National Lab. (ANL), Argonne, IL (United States)
- Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
- Pacific Northwest National Lab. (PNNL), Redmond, WA (United States)
- Publication Date:
- Research Org.:
- Pacific Northwest National Laboratory (PNNL), Richland, WA (United States); National Renewable Energy Laboratory (NREL), Golden, CO (United States); Argonne National Laboratory (ANL), Argonne, IL (United States); Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
- Sponsoring Org.:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Wind Energy Technologies Office; National Science Foundation (NSF); USDOE Office of Energy Efficiency and Renewable Energy (EERE), Wind and Water Technologies Office (EE-4W)
- OSTI Identifier:
- 1593309
- Alternate Identifier(s):
- OSTI ID: 1567029; OSTI ID: 1608682; OSTI ID: 1774625
- Report Number(s):
- PNNL-SA-139881; NREL/JA-5000-74152; LA-UR-19-28445
Journal ID: ISSN 0003-0007
- Grant/Contract Number:
- AC05-76RL01830; AC36-08GO28308; 89233218CNA000001; AC02-06CH11357
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Bulletin of the American Meteorological Society
- Additional Journal Information:
- Journal Volume: 100; Journal Issue: 12; Journal ID: ISSN 0003-0007
- Publisher:
- American Meteorological Society
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 17 WIND ENERGY; wind energy; mesoscale; microscale; coupling; large-eddy simulation; wind-plant flow; Earth Sciences
Citation Formats
Haupt, Sue Ellen, Kosovic, Branko, Shaw, William, Berg, Larry K., Churchfield, Matthew J., Cline, Joel, Draxl, Caroline, Ennis, Brandon, Koo, Eunmo, Kotamarthi, Rao, Mazzaro, Laura J., Mirocha, Jeffrey D., Moriarty, Patrick, Muñoz-Esparza, Domingo, Quon, Eliot, Rai, Raj K., Robinson, Michael, and Sever, Gokhan. On Bridging A Modeling Scale Gap: Mesoscale to Microscale Coupling for Wind Energy. United States: N. p., 2020.
Web. doi:10.1175/BAMS-D-18-0033.1.
Haupt, Sue Ellen, Kosovic, Branko, Shaw, William, Berg, Larry K., Churchfield, Matthew J., Cline, Joel, Draxl, Caroline, Ennis, Brandon, Koo, Eunmo, Kotamarthi, Rao, Mazzaro, Laura J., Mirocha, Jeffrey D., Moriarty, Patrick, Muñoz-Esparza, Domingo, Quon, Eliot, Rai, Raj K., Robinson, Michael, & Sever, Gokhan. On Bridging A Modeling Scale Gap: Mesoscale to Microscale Coupling for Wind Energy. United States. https://doi.org/10.1175/BAMS-D-18-0033.1
Haupt, Sue Ellen, Kosovic, Branko, Shaw, William, Berg, Larry K., Churchfield, Matthew J., Cline, Joel, Draxl, Caroline, Ennis, Brandon, Koo, Eunmo, Kotamarthi, Rao, Mazzaro, Laura J., Mirocha, Jeffrey D., Moriarty, Patrick, Muñoz-Esparza, Domingo, Quon, Eliot, Rai, Raj K., Robinson, Michael, and Sever, Gokhan. Tue .
"On Bridging A Modeling Scale Gap: Mesoscale to Microscale Coupling for Wind Energy". United States. https://doi.org/10.1175/BAMS-D-18-0033.1. https://www.osti.gov/servlets/purl/1593309.
@article{osti_1593309,
title = {On Bridging A Modeling Scale Gap: Mesoscale to Microscale Coupling for Wind Energy},
author = {Haupt, Sue Ellen and Kosovic, Branko and Shaw, William and Berg, Larry K. and Churchfield, Matthew J. and Cline, Joel and Draxl, Caroline and Ennis, Brandon and Koo, Eunmo and Kotamarthi, Rao and Mazzaro, Laura J. and Mirocha, Jeffrey D. and Moriarty, Patrick and Muñoz-Esparza, Domingo and Quon, Eliot and Rai, Raj K. and Robinson, Michael and Sever, Gokhan},
abstractNote = {Accurately representing flow across the mesoscale to the microscale is a persistent roadblock for completing realistic microscale simulations. The science challenges that must be addressed to coupling at these scales include the following: 1) What is necessary to capture the variability of the mesoscale flow, and how do we avoid generating spurious rolls within the terra incognita between the scales? 2) Which methods effectively couple the mesoscale to the microscale and capture the correct nonstationary features at the microscale? 3) What are the best methods to initialize turbulence at the microscale? 4) What is the best way to handle the surface-layer parameterizations consistently at the mesoscale and the microscale? 5) How do we assess the impact of improvements in each of these aspects and quantify the uncertainty in the simulations? The U.S. Department of Energy Mesoscale-to-Microscale-Coupling project seeks to develop, verify, and validate physical models and modeling techniques that bridge the most important atmospheric scales determining wind plant performance and reliability, which impacts many meteorological applications. The approach begins with choosing case days that are interesting for wind energy for which there are observational data for validation. The team has focused on modeling nonstationary conditions for both flat and complex terrain. This paper describes the approaches taken to answer the science challenges, culminating in recommendations for best approaches for coupled modeling.},
doi = {10.1175/BAMS-D-18-0033.1},
journal = {Bulletin of the American Meteorological Society},
number = 12,
volume = 100,
place = {United States},
year = {Tue Jan 07 00:00:00 EST 2020},
month = {Tue Jan 07 00:00:00 EST 2020}
}
Web of Science
Works referenced in this record:
An inconvenient “truth” about using sensible heat flux as a surface boundary condition in models under stably stratified regimes
journal, November 2007
- Basu, Sukanta; Holtslag, Albert A. M.; Van De Wiel, Bas J. H.
- Acta Geophysica, Vol. 56, Issue 1
A North American Hourly Assimilation and Model Forecast Cycle: The Rapid Refresh
journal, April 2016
- Benjamin, Stanley G.; Weygandt, Stephen S.; Brown, John M.
- Monthly Weather Review, Vol. 144, Issue 4
Sensitivity of Turbine-Height Wind Speeds to Parameters in the Planetary Boundary-Layer Parametrization Used in the Weather Research and Forecasting Model: Extension to Wintertime Conditions
journal, November 2018
- Berg, Larry K.; Liu, Ying; Yang, Ben
- Boundary-Layer Meteorology, Vol. 170, Issue 3
Large-eddy simulation and parametrization of the baroclinic boundary-layer
journal, October 1996
- Brown, A. R.
- Quarterly Journal of the Royal Meteorological Society, Vol. 122, Issue 536
Large-Eddy Simulation and Parametrization of the Effects of Shear on Shallow Cumulus Convection
journal, April 1999
- Brown, A. R.
- Boundary-Layer Meteorology, Vol. 91, Issue 1
Short-term wind forecast of a data assimilation/weather forecasting system with wind turbine anemometer measurement assimilation
journal, July 2017
- Cheng, William Y. Y.; Liu, Yubao; Bourgeois, Alfred J.
- Renewable Energy, Vol. 107
A New Vertical Grid Nesting Capability in the Weather Research and Forecasting (WRF) Model
journal, October 2016
- Daniels, Megan H.; Lundquist, Katherine A.; Mirocha, Jeffrey D.
- Monthly Weather Review, Vol. 144, Issue 10
Numerical Study of Nocturnal Low-Level Jets over Gently Sloping Terrain
journal, August 2017
- Fedorovich, Evgeni; Gibbs, Jeremy A.; Shapiro, Alan
- Journal of the Atmospheric Sciences, Vol. 74, Issue 9
Sensitivity Analysis of the WRF Model: Wind-Resource Assessment for Complex Terrain
journal, March 2018
- Fernández-González, Sergio; Martín, María Luisa; García-Ortega, Eduardo
- Journal of Applied Meteorology and Climatology, Vol. 57, Issue 3
Local and Mesoscale Impacts of Wind Farms as Parameterized in a Mesoscale NWP Model
journal, September 2012
- Fitch, Anna C.; Olson, Joseph B.; Lundquist, Julie K.
- Monthly Weather Review, Vol. 140, Issue 9
Evaluating techniques for redirecting turbine wakes using SOWFA
journal, October 2014
- Fleming, Paul A.; Gebraad, Pieter M. O.; Lee, Sang
- Renewable Energy, Vol. 70
Simulation comparison of wake mitigation control strategies for a two-turbine case: Simulation comparison of wake mitigation control strategies for a two-turbine case
journal, October 2014
- Fleming, Paul; Gebraad, Pieter M. O.; Lee, Sang
- Wind Energy, Vol. 18, Issue 12
Subfilter-scale enrichment of planetary boundary layer large eddy simulation using discrete Fourier–Gabor modes
journal, April 2017
- Ghate, Aditya S.; Lele, Sanjiva K.
- Journal of Fluid Mechanics, Vol. 819
Solution of the implicitly discretised fluid flow equations by operator-splitting
journal, January 1986
- Issa, R. I.
- Journal of Computational Physics, Vol. 62, Issue 1
Turbulence-Turbine Interaction: The Basis for the Development of the TurbSim Stochastic Simulator
report, November 2011
- Kelley, Neil D.
Modulation of Turbulence Energy by Longitudinal Rolls in an Unstable Planetary Boundary Layer
journal, July 1976
- Lemone, Margaret A.
- Journal of the Atmospheric Sciences, Vol. 33, Issue 7
A Wind Power Forecasting System to Optimize Grid Integration
journal, October 2012
- Mahoney, William P.; Parks, Keith; Wiener, Gerry
- IEEE Transactions on Sustainable Energy, Vol. 3, Issue 4
Nested mesoscale‐to‐LES modeling of the atmospheric boundary layer in the presence of under‐resolved convective structures
journal, August 2017
- Mazzaro, L. J.; Muñoz‐Esparza, D.; Lundquist, J. K.
- Journal of Advances in Modeling Earth Systems, Vol. 9, Issue 4
Random Force Perturbations: A New Extension of the Cell Perturbation Method for Turbulence Generation in Multiscale Atmospheric Boundary Layer Simulations
journal, July 2019
- Mazzaro, L. J.; Koo, E.; Muñoz‐Esparza, D.
- Journal of Advances in Modeling Earth Systems, Vol. 11, Issue 7
Implementation of a Nonlinear Subfilter Turbulence Stress Model for Large-Eddy Simulation in the Advanced Research WRF Model
journal, November 2010
- Mirocha, J. D.; Lundquist, J. K.; Kosović, B.
- Monthly Weather Review, Vol. 138, Issue 11
Resolved Turbulence Characteristics in Large-Eddy Simulations Nested within Mesoscale Simulations Using the Weather Research and Forecasting Model
journal, February 2014
- Mirocha, Jeff; Kosović, Branko; Kirkil, Gokhan
- Monthly Weather Review, Vol. 142, Issue 2
Investigating wind turbine impacts on near-wake flow using profiling lidar data and large-eddy simulations with an actuator disk model
journal, July 2015
- Mirocha, Jeffrey D.; Rajewski, Daniel A.; Marjanovic, Nikola
- Journal of Renewable and Sustainable Energy, Vol. 7, Issue 4
Large-eddy simulation sensitivities to variations of configuration and forcing parameters in canonical boundary-layer flows for wind energy applications
journal, January 2018
- Mirocha, Jeffrey D.; Churchfield, Matthew J.; Muñoz-Esparza, Domingo
- Wind Energy Science, Vol. 3, Issue 2
Examining Two-Way Grid Nesting for Large Eddy Simulation of the PBL Using the WRF Model
journal, June 2007
- Moeng, C-H.; Dudhia, Jimy; Klemp, Joe
- Monthly Weather Review, Vol. 135, Issue 6
Generation of Inflow Turbulence in Large-Eddy Simulations of Nonneutral Atmospheric Boundary Layers with the Cell Perturbation Method
journal, June 2018
- Muñoz-Esparza, Domingo; Kosović, Branko
- Monthly Weather Review, Vol. 146, Issue 6
Bridging the Transition from Mesoscale to Microscale Turbulence in Numerical Weather Prediction Models
journal, August 2014
- Muñoz-Esparza, Domingo; Kosović, Branko; Mirocha, Jeff
- Boundary-Layer Meteorology, Vol. 153, Issue 3
A stochastic perturbation method to generate inflow turbulence in large-eddy simulation models: Application to neutrally stratified atmospheric boundary layers
journal, March 2015
- Muñoz-Esparza, D.; Kosović, B.; van Beeck, J.
- Physics of Fluids, Vol. 27, Issue 3
Coupled mesoscale‐ LES modeling of a diurnal cycle during the CWEX ‐13 field campaign: From weather to boundary‐layer eddies
journal, July 2017
- Muñoz‐Esparza, Domingo; Lundquist, Julie K.; Sauer, Jeremy A.
- Journal of Advances in Modeling Earth Systems, Vol. 9, Issue 3
Improving Wind Energy Forecasting through Numerical Weather Prediction Model Development
journal, November 2019
- Olson, Joseph B.; Kenyon, Jaymes S.; Djalalova, Irina
- Bulletin of the American Meteorological Society, Vol. 100, Issue 11
Enrichment methods for inflow turbulence generation in the atmospheric boundary layer
journal, June 2018
- Quon, E. W.; Ghate, A. S.; Lele, S. K.
- Journal of Physics: Conference Series, Vol. 1037
Comparison of Measured and Numerically Simulated Turbulence Statistics in a Convective Boundary Layer Over Complex Terrain
journal, November 2016
- Rai, Raj K.; Berg, Larry K.; Kosović, Branko
- Boundary-Layer Meteorology, Vol. 163, Issue 1
Evaluation of the Impact of Horizontal Grid Spacing in Terra Incognita on Coupled Mesoscale–Microscale Simulations Using the WRF Framework
journal, March 2019
- Rai, Raj K.; Berg, Larry K.; Kosović, Branko
- Monthly Weather Review, Vol. 147, Issue 3
Changes in fluxes of heat, H2O, and CO2 caused by a large wind farm
journal, August 2014
- Rajewski, Daniel A.; Takle, Eugene S.; Lundquist, Julie K.
- Agricultural and Forest Meteorology, Vol. 194
Subgrid scale model for finite difference simulations of turbulent flows in plane channels and annuli
journal, August 1975
- Schumann, U.
- Journal of Computational Physics, Vol. 18, Issue 4
The Second Wind Forecast Improvement Project (WFIP2): General Overview
journal, September 2019
- Shaw, William J.; Berg, Larry K.; Cline, Joel
- Bulletin of the American Meteorological Society, Vol. 100, Issue 9
Large-Eddy Simulations of the Baroclinic Mixed Layer
journal, July 2004
- Sorbjan, Zbigniew
- Boundary-Layer Meteorology, Vol. 112, Issue 1
Numerical Modeling of Wind Turbine Wakes
journal, May 2002
- So̸rensen, Jens No̸rkær; Shen, Wen Zhong
- Journal of Fluids Engineering, Vol. 124, Issue 2
An Observational Study of the Evolution of Horizontal Convective Rolls
journal, September 1999
- Weckwerth, Tammy M.; Horst, Thomas W.; Wilson, James W.
- Monthly Weather Review, Vol. 127, Issue 9
The Second Wind Forecast Improvement Project (WFIP2): Observational Field Campaign
journal, September 2019
- Wilczak, James M.; Stoelinga, Mark; Berg, Larry K.
- Bulletin of the American Meteorological Society, Vol. 100, Issue 9
Toward Numerical Modeling in the “Terra Incognita”
journal, July 2004
- Wyngaard, John C.
- Journal of the Atmospheric Sciences, Vol. 61, Issue 14
Sensitivity of Turbine-Height Wind Speeds to Parameters in Planetary Boundary-Layer and Surface-Layer Schemes in the Weather Research and Forecasting Model
journal, July 2016
- Yang, Ben; Qian, Yun; Berg, Larry K.
- Boundary-Layer Meteorology, Vol. 162, Issue 1
Evaluation of WRF-Predicted Near-Hub-Height Winds and Ramp Events over a Pacific Northwest Site with Complex Terrain
journal, August 2013
- Yang, Qing; Berg, Larry K.; Pekour, Mikhail
- Journal of Applied Meteorology and Climatology, Vol. 52, Issue 8
A preliminary study of assimilating numerical weather prediction data into computational fluid dynamics models for wind prediction
journal, April 2011
- Zajaczkowski, Frank J.; Haupt, Sue Ellen; Schmehl, Kerrie J.
- Journal of Wind Engineering and Industrial Aerodynamics, Vol. 99, Issue 4