Wind and Sea Breeze Characteristics for the Offshore Wind Farms in the Central Coastal Area of Taiwan

被引:7
作者
Cheng, Ke-Sheng [1 ]
Ho, Cheng-Yu [2 ]
Teng, Jen-Hsin [3 ]
机构
[1] Natl Taiwan Univ, Dept Bioenvironm Syst Engn, Taipei 10617, Taiwan
[2] Natl Taiwan Univ, Hydrotech Res Inst, Taipei 10617, Taiwan
[3] Cent Weather Bur, Res & Dev Ctr, Taipei 100006, Taiwan
关键词
autoregressive model; diurnal variation; pure sea breeze; corkscrew sea breeze; backdoor sea breeze; WRF MODEL; AIR-QUALITY; FORECAST; SPEED; ISLAND;
D O I
10.3390/en15030992
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Renewable energy is crucial for achieving net zero emissions. Taiwan has abundant wind resources and most major wind farms are offshore over the Taiwan Strait due to a lack of space on land. A thorough study that includes time series modeling of wind speed and sea breeze identification and evaluation for Taiwan's offshore wind farms was conducted. The time series modeling identified two periodic (annual and diurnal) components and an autoregressive model for multiple-year wind speed time series. A new method for sea breeze type identification and magnitude evaluation is proposed. The method (named as EACH) utilizes a vector and an ellipse to represent the wind condition of a day. Verification of the type identification determined by the new method in two cases of different seasons has been conducted by using surface weather charts and wind data measured by lidar. It is a concise, effective, and programmable way to filter a number of dates for type identification and speed change precursor of sea breeze. We found that the typical daily wind power production of corkscrew sea breeze in Central Taiwan is more than 33 times that of pure sea breeze and more than 9 times that of backdoor sea breeze, which highlights the impact of sea breeze types on wind power.
引用
收藏
页数:23
相关论文
共 29 条
[1]  
[Anonymous], 2019, OFFSHORE WIND POWER
[2]  
[Anonymous], 2020, MOEA PLANS NEW TARGE
[3]   A comprehensive sensitivity analysis of the WRF model for air quality applications over the Iberian Peninsula [J].
Borge, Rafael ;
Alexandrov, Vassil ;
del Vas, Juan Jose ;
Lumbreras, Julio ;
Rodriguez, Encarnacion .
ATMOSPHERIC ENVIRONMENT, 2008, 42 (37) :8560-8574
[4]  
BROWN BG, 1984, J CLIM APPL METEOROL, V23, P1184, DOI 10.1175/1520-0450(1984)023<1184:TSMTSA>2.0.CO
[5]  
2
[6]   Wind Characteristics in the Taiwan Strait: A Case Study of the First Offshore Wind Farm in Taiwan [J].
Cheng, Ke-Sheng ;
Ho, Cheng-Yu ;
Teng, Jen-Hsin .
ENERGIES, 2020, 13 (24)
[7]   A statistical model of the seasonal-diurnal wind climate at Adelaide [J].
Cook, Nicholas J. .
AUSTRALIAN METEOROLOGICAL AND OCEANOGRAPHIC JOURNAL, 2015, 65 (02) :206-232
[8]   Sea and Lake Breezes: A Review of Numerical Studies [J].
Crosman, Erik T. ;
Horel, John D. .
BOUNDARY-LAYER METEOROLOGY, 2010, 137 (01) :1-29
[9]   Hourly Average Wind Speed Simulation and Forecast Based on ARMA Model in Jeju Island, Korea [J].
Do, Duy-Phuong N. ;
Lee, Yeonchan ;
Choi, Jaeseok .
JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY, 2016, 11 (06) :1548-1555
[10]  
Gao S., 2009, P 2009 INT C SUST PO