The Impact of Blade Surface Roughness on Wind Turbine Efficiency: A Monte Carlo Method Approach

ABSTRACT This paper investigates the impact of blade surface roughness on the performance and efficiency of wind turbines. Environmental factors such as icing, insects, dust, and pollution contribute to blade roughness, increasing aerodynamic drag and reducing power output. In this study, a Monte Carlo simulation is employed to analyze the effects of surface roughness on key variables, including the power coefficient, rotor torque, generator speed, and blade pitch angle in two distinct operating regions: partial load and full load. The results indicate that in the partial load region, increased roughness leads to a reduction in the power coefficient, generator speed, and rotor torque, ultimately lowering power output. However, in the full load region, the control system compensates for roughness effects by adjusting the blade pitch angle, maintaining a nearly constant power output. This study provides a probabilistic analysis of roughness effects, aiding engineers in developing optimized strategies for wind turbine design and maintenance to minimize energy losses and enhance efficiency.

Authors

Institutions

Publication Details

Journal
Energy Science & Engineering
Published
2025-02-12
DOI
https://doi.org/10.1002/ese3.70026
Citations
2
Primary Topic
Wind Energy Research and Development
Type
article
Field-Weighted Citation Impact
9.99
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Impact of Blade Surface Roughness on Wind Turbine Efficiency: A Monte Carlo Method Approach

Amard Afzalian, Dariush Biazar
2 citations
Energy Science & Engineering
Wind Energy Research and Development
9.99
article

The Impact of Blade Surface Roughness on Wind Turbine Efficiency: A Monte Carlo Method Approach

Amard Afzalian, Dariush Biazar
article en
2 citations

Abstract

ABSTRACT This paper investigates the impact of blade surface roughness on the performance and efficiency of wind turbines. Environmental factors such as icing, insects, dust, and pollution contribute to blade roughness, increasing aerodynamic drag and reducing power output. In this study, a Monte Carlo simulation is employed to analyze the effects of surface roughness on key variables, including the power coefficient, rotor torque, generator speed, and blade pitch angle in two distinct operating regions: partial load and full load. The results indicate that in the partial load region, increased roughness leads to a reduction in the power coefficient, generator speed, and rotor torque, ultimately lowering power output. However, in the full load region, the control system compensates for roughness effects by adjusting the blade pitch angle, maintaining a nearly constant power output. This study provides a probabilistic analysis of roughness effects, aiding engineers in developing optimized strategies for wind turbine design and maintenance to minimize energy losses and enhance efficiency.

Energy Science & EngineeringVol. 13(4)
Islamic Azad University, Tehran (IR), Islamic Azad University, Fasa Branch (IR)
Openalex Percentile: Top 3%
Wind Energy Research and Development
9.99
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.

The Impact of Blade Surface Roughness on Wind Turbine Efficiency: A Monte Carlo Method Approach — Amard Afzalian, Dariush Biazar · Energy Science & Engineering (2025) | TGRS Research Map | TGRS