A new RANS-based added turbulence intensity model for wind-farm flow modelling

T. Delvaux*, M. P. Van Der Laan, V. E. Terrapon

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

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This work aims to alleviate the memory requirements of the recent wake engineering model described in Criado Risco et al. [1]. The original model relies on a RANS-based look-up table of three-dimensional velocity deficit and added turbulence intensity fields computed for a stand-alone turbine under a wide variety of conditions. The objective is to develop an alternative to the model of Criado Risco et al. [1], particularly in terms of added turbulence intensity, for which little research has been carried out to date. To achieve this, a one-dimensional analytical expression is fitted to the look-up table and generalized to higher dimensions. The turbulence intensity model is then coupled to a velocity deficit model and implemented in PyWake, an open-source wake engineering software. Overall, the new turbulence intensity model is found to provide a reliable description of the RANS look-up table data while reducing by half the memory requirements of the original model. This conclusion is extended to multiple wake situations, for which this work also establishes a direct link between the adequate superposition method and the definition chosen to describe the added turbulence intensity in the wake.
Original languageEnglish
Title of host publicationThe Science of Making Torque from Wind (TORQUE 2024): Wind resource, wakes, and wind farms
Number of pages10
PublisherIOP Publishing
Publication date2024
Article number092089
Publication statusPublished - 2024
EventThe Science of Making Torque from Wind (TORQUE 2024) - Florence, Italy
Duration: 29 May 202431 May 2024


ConferenceThe Science of Making Torque from Wind (TORQUE 2024)
SeriesJournal of Physics: Conference Series


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