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Verification of a low cost scale-adaptive CFD formulation for waked wind turbines

  • Technical University of Munich
  • Wind Energy Institute
  • Politecnico di Milano

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Large-eddy simulation (LES) models have been widely used for wind farm simulation and control research. However, LES is still computationally expensive when applied to large computational domains, multiple interacting wind turbines and extended simulation time intervals. To address this problem, the present work considers a turbulence model based on the von Kármán length scale, termed scale-adaptive simulation (SAS), and investigates its characteristics with respect to the LES model. The incompressible SAS formulation is reviewed first, and compared to the conventional k-ω shear stress transport (SST) model. Next, results from wind tunnel measurements of scaled wind turbines are used to investigate the performance of the SAS and LES formulations. The two methods are compared in terms of wind turbine wake characteristics, rotor integral quantities and computational effort. Results indicate that, for the cases considered here, SAS appears to be a valid moderate-accuracy low-cost alternative to LES.

Original languageEnglish
Title of host publicationWind Energy Symposium
PublisherAmerican Institute of Aeronautics and Astronautics Inc, AIAA
ISBN (Print)9781624105227
DOIs
StatePublished - 2018
EventWind Energy Symposium, 2018 - Kissimmee, United States
Duration: 8 Jan 201812 Jan 2018

Publication series

NameWind Energy Symposium, 2018

Conference

ConferenceWind Energy Symposium, 2018
Country/TerritoryUnited States
CityKissimmee
Period8/01/1812/01/18

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

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