Typhoon‐Induced Effects on Wind Power Generation of a Coastal Wind Farm Based on Wind Observations

ABSTRACT Guangdong Province, a significant wind energy producer in China, is frequently impacted by landing typhoons along its coastal areas. Therefore, it is crucial to analyze the characteristics and influencing factors of wind power generation during typhoons at coastal wind farms in Guangdong. This study examines power generation data from the Lingnan Wind Farm during Typhoon Chaba and calculates indexes including wind shear, temperature and pressure change. Results show that the average power generation of Lingnan Wind Farm was 44.4 MW/h during the study period, and when Typhoon Chaba approaches the wind farm within a proximity of less than 300 km, the average power generation increases by 43%. Conversely, when Chaba is more than 600 km away from the wind farm, the average power generation decreases by 10%. The analysis employing a random forest model identifies wind speed at 80 m height, 24‐h pressure change, and pressure as the most influential factors throughout the study period. This underscores the significance of surface pressure and pressure variations at the wind farm for predicting wind power output at coastal wind farms during a typhoon process. The random forest model yields mean absolute error and root mean square error values of 9.4 MW/h and 11.6 MW/h, respectively, in the prediction of wind power generation.

Authors

Institutions

Publication Details

Journal
Energy Science & Engineering
Published
2025-11-04
DOI
https://doi.org/10.1002/ese3.70347
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
OCT
article

Typhoon‐Induced Effects on Wind Power Generation of a Coastal Wind Farm Based on Wind Observations

Yongyan Su, Beixi Jia, Jie Wang, Chuanhui Wang et al.
Energy Science & Engineering
Wind Energy Research and Development
article

Typhoon‐Induced Effects on Wind Power Generation of a Coastal Wind Farm Based on Wind Observations

Yongyan Su, Beixi Jia, Jie Wang, Chuanhui Wang, Yanbo Shen, Xin Liu
article en

Abstract

ABSTRACT Guangdong Province, a significant wind energy producer in China, is frequently impacted by landing typhoons along its coastal areas. Therefore, it is crucial to analyze the characteristics and influencing factors of wind power generation during typhoons at coastal wind farms in Guangdong. This study examines power generation data from the Lingnan Wind Farm during Typhoon Chaba and calculates indexes including wind shear, temperature and pressure change. Results show that the average power generation of Lingnan Wind Farm was 44.4 MW/h during the study period, and when Typhoon Chaba approaches the wind farm within a proximity of less than 300 km, the average power generation increases by 43%. Conversely, when Chaba is more than 600 km away from the wind farm, the average power generation decreases by 10%. The analysis employing a random forest model identifies wind speed at 80 m height, 24‐h pressure change, and pressure as the most influential factors throughout the study period. This underscores the significance of surface pressure and pressure variations at the wind farm for predicting wind power output at coastal wind farms during a typhoon process. The random forest model yields mean absolute error and root mean square error values of 9.4 MW/h and 11.6 MW/h, respectively, in the prediction of wind power generation.

Energy Science & EngineeringVol. 14(1)
Arab Open University (OM), China Meteorological Administration (CN), Beijing Meteorological Bureau (CN), Anhui Provincial Meteorological Bureau (CN)
National Key Research and Development Program of China
Openalex Percentile: Top 56%
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.

Typhoon‐Induced Effects on Wind Power Generation of a Coastal Wind Farm Based on Wind Observations — Yongyan Su, Beixi Jia, et al. · Energy Science & Engineering (2025) | TGRS Research Map | TGRS