Generating high-fidelity wind fields from the wind speed correlation tensor

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Authors: Matteo Faccioni, Daniel Kiehn, Patrick Vrancken
Cited by: 0
References: 39

Abstract

Abstract. In this publication a new method to generate stochastic representations of homogeneous and isotropic wind fields is presented. In contrast to the typically employed algorithm, the new approach is based on the wind speed correlation tensor. This allows simulating a homogeneous and isotropic turbulent wind field with very high accuracy. In this publication, a deviation of the obtained dataset's structure function from the theoretical one of at least one order of magnitude lower than the commonly used method is achieved. Furthermore, a compensation method to decrease this error even further is proposed. Moreover, being a generic method, it can be used to simulate other Gaussian phenomena (e.g., temperature or index of refraction fluctuations) on various spatial domains and grid shapes.

Fields of Study & Subjects

Wind and Air Flow Studies Wind Energy Research and Development Probabilistic and Robust Engineering Design

Publication details

Journal / source
Wind energy science
Publisher
Copernicus GmbH
Volume
11
Issue
6
Pages
2093–2101
Publication date
18 June 2026
Language
EN