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A coupled mesoscale–microscale framework for wind resource estimation and farm aerodynamics

Authors :
Jefferey D. Mirocha
Kevin Brown
Harish Gopalan
Christopher Gundling
Wayne O. Miller
Jayanarayanan Sitaraman
Beatrice Roget
Source :
Journal of Wind Engineering and Industrial Aerodynamics. 132:13-26
Publication Year :
2014
Publisher :
Elsevier BV, 2014.

Abstract

This study discusses the development of a coupled mesoscale–microscale framework for wind resource estimation and farm aerodynamics. WINDWYO is a computational framework for performing coupled mesoscale–microscale simulations. The framework is modular, automated and supports coupling of different mesoscale and microscale solvers using overset or matched grids. The modular nature of the framework and the support for overset grids allows the independent development of mesoscale and microscale solvers and the efficient coupling between the codes. The performance of the framework is evaluated by coupling Weather Research and Forecasting (WRF) model with three microscale computational fluid dynamics (CFD) codes of varying complexity. The solvers used are: (i) UWake: a blade element model with free-vortex wake, (ii) Flowyo: large eddy simulation code with actuator line/disk parametrization of the wind turbine and (iii) HELIOS: detached eddy simulation code with full rotor modeling and adaptive mesh refinement. Power predictions and wake visualization of single turbine and off-shore Lillgrund wind farm in uniform and turbulent inflow are used to demonstrate the capabilities of the framework.

Details

ISSN :
01676105
Volume :
132
Database :
OpenAIRE
Journal :
Journal of Wind Engineering and Industrial Aerodynamics
Accession number :
edsair.doi...........ca718339d96ae180939ab0764c5986fb
Full Text :
https://doi.org/10.1016/j.jweia.2014.06.001