A Critical Review of Platform Motion Effects on the Aerodynamic Performance, Wake Dynamics and Load Responses of Floating Vertical Axis Wind Turbines

Floating vertical-axis wind turbines (VAWTs) couple intrinsically unsteady rotor aerodynamics with the motions of their supporting platforms, producing complex temporal variations in power output, aerodynamic loads, and wake transport. A structured search of the Web of Science Core Collection and Scopus, supplemented by citation tracking, identified peer-reviewed studies published from database inception to 30 June 2026. The reviewed computational fluid dynamics (CFD) studies were classified as decoupled or fully coupled according to whether bidirectional feedback between the flow field and platform response was resolved. The evidence shows that motion-induced velocities alter blade-relative inflow and effective angle of attack, thereby modifying dynamic stall, loads, and wake evolution. Scaled testing is limited by the incompatibility between Froude and Reynolds similitude. Under identical pitch conditions, the mean power coefficient increased by 16.42% at full scale but decreased by 56.71% at 1:100 scale. Platform motion generally increases power and load fluctuations but may accelerate wake recovery; effects on mean performance remain configuration- and scale-dependent, so no universally optimal rotor-platform design has emerged. Overall, this review provides an integrated understanding of the effects of platform motion on the unsteady aerodynamics, load responses, and wake evolution of floating VAWTs, and clarifies the applicability of decoupled and fully coupled CFD methods to mechanism identification and system-level assessment.

Authors

Institutions

Publication Details

Journal
Journal of Marine Science and Engineering
Published
2026-08-26
DOI
https://doi.org/10.3390/jmse14171576
Primary Topic
Wind Energy Research and Development
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

A Critical Review of Platform Motion Effects on the Aerodynamic Performance, Wake Dynamics and Load Responses of Floating Vertical Axis Wind Turbines

Qingsong Liu, Gregório Iglesias, Musa Bashir, Wanfu Zhang et al.
Journal of Marine Science and Engineering
Wind Energy Research and Development
article

A Critical Review of Platform Motion Effects on the Aerodynamic Performance, Wake Dynamics and Load Responses of Floating Vertical Axis Wind Turbines

Qingsong Liu, Gregório Iglesias, Musa Bashir, Wanfu Zhang, Haoda Huang, Chun Li
article en

Abstract

Floating vertical-axis wind turbines (VAWTs) couple intrinsically unsteady rotor aerodynamics with the motions of their supporting platforms, producing complex temporal variations in power output, aerodynamic loads, and wake transport. A structured search of the Web of Science Core Collection and Scopus, supplemented by citation tracking, identified peer-reviewed studies published from database inception to 30 June 2026. The reviewed computational fluid dynamics (CFD) studies were classified as decoupled or fully coupled according to whether bidirectional feedback between the flow field and platform response was resolved. The evidence shows that motion-induced velocities alter blade-relative inflow and effective angle of attack, thereby modifying dynamic stall, loads, and wake evolution. Scaled testing is limited by the incompatibility between Froude and Reynolds similitude. Under identical pitch conditions, the mean power coefficient increased by 16.42% at full scale but decreased by 56.71% at 1:100 scale. Platform motion generally increases power and load fluctuations but may accelerate wake recovery; effects on mean performance remain configuration- and scale-dependent, so no universally optimal rotor-platform design has emerged. Overall, this review provides an integrated understanding of the effects of platform motion on the unsteady aerodynamics, load responses, and wake evolution of floating VAWTs, and clarifies the applicability of decoupled and fully coupled CFD methods to mechanism identification and system-level assessment.

Journal of Marine Science and EngineeringVol. 14(17)
University of Liverpool (GB), University of Shanghai for Science and Technology (CN), University College Cork (IE), University of Plymouth (GB)
European Commission, National Natural Science Foundation of China, China Scholarship Council, National Key Research and Development Program of China
Affordable and clean energy
Openalex Percentile: Top 7%
Wind Energy Research and Development
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.