Large-Eddy Simulation of Utility-Scale Wind Farm Sited over Complex Terrain

Jagdeep Singh () and Jahrul M Alam ()
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Jagdeep Singh: Interdisciplinary Scientific Computing Program, Memorial University of Newfoundland, St. John’s, NL A1C 5S7, Canada
Jahrul M Alam: Interdisciplinary Scientific Computing Program, Memorial University of Newfoundland, St. John’s, NL A1C 5S7, Canada

Energies, 2023, vol. 16, issue 16, 1-26

Abstract: The realm of wind energy is a rapidly expanding renewable energy technology. Wind farm developers need to understand the interaction between wind farms and the atmospheric flow over complex terrain. Large-eddy simulations provide valuable data for gaining further insight into the impact of rough topography on wind farm performance. In this article, we report the influence of spatial heterogeneity on wind turbine performance. We conducted numerical simulations of a 12 × 5 wind turbine array over various rough topographies. First, we evaluated our large-eddy simulation method through a mesh convergence analysis, using mean vertical profiles, vertical friction velocity, and resolved and subgrid-scale kinetic energy. Next, we analyzed the effects of surface roughness and dispersive stresses on the performance of fully developed large wind farms. Our results show that the ground roughness element’s flow resistance boosts the power production of large wind farms by almost 68% over an aerodynamically rough surface compared with flat terrain. The dispersive stress analysis revealed that the primary degree of spatial heterogeneity in wind farms is in the streamwise direction, which is the “wake-occupied” region, and the relative contribution of dispersive shear stress to the overall drag may be about 45%. Our observation reveals that the power performance of the wind farm in complex terrain surpasses the drag effect. Our study has implications for improving the design of wind turbines and wind farms in complex terrain to increase their efficiency and energy output.

Keywords: wind farm; complex terrain; large-eddy simulation; dispersive stress (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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