A review of physical and numerical modeling techniques for horizontal-axis wind turbine wakes

Mojtaba Maali Amiri, Milad Shadman and Segen F. Estefen

Renewable and Sustainable Energy Reviews, 2024, vol. 193, issue C

Abstract: Wake effects within a wind farm are identified as one of the main factors impacting wind farm power production and fatigue loading on wind turbines’ structural elements. An efficient representation of wake effects is crucial for both the optimal layout design and real-time configuration of a control strategy of the wind farm to reduce the impact of wake losses. Accordingly, this study provides an overview and analysis of the recent progress in the most common existing physical and numerical modeling techniques for horizontal-axis wind turbine wakes. The techniques addressed here range from high-fidelity CFD and physical testing approaches to low-fidelity analytical models. In addition to describing the physical basis, formulations, fundamental assumptions, and limitations, this study provides a discussion of the usefulness of each modeling technique and possible further research on challenges in modeling wind turbine wakes that have not yet been adequately addressed.

Keywords: Horizontal-axis wind turbine wakes; Modeling techniques; Computational fluid dynamics; URANS; LES; Actuator methods; Analytical wake models; Wind tunnel tests; Field tests (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1364032124000029
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:rensus:v:193:y:2024:i:c:s1364032124000029

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/600126/bibliographic
http://www.elsevier. ... 600126/bibliographic

DOI: 10.1016/j.rser.2024.114279

Access Statistics for this article

Renewable and Sustainable Energy Reviews is currently edited by L. Kazmerski

More articles in Renewable and Sustainable Energy Reviews from Elsevier
Bibliographic data for series maintained by Catherine Liu ().