TY - JOUR
T1 - Investigation of wind resource characteristics in mountain wind farm using multiple-unit SCADA data in Chenzhou
T2 - A case study
AU - Dai, Juchuan
AU - Tan, Yayi
AU - Yang, Wenxian
AU - Wen, Li
AU - Shen, Xiangbin
N1 - Funding Information:
This work is supported by the National Scholarship Foundation, National Natural Science Foundation of People's Republic of China (grant number 51675175, 51475160), State Scholarship Fund (grant number 201408430267), Hunan Provincial Natural Science Foundation (grant number 2016JJ5024) and Scientific Research Fund of Hunan Provincial Education Department (grant number 15B084).
Publisher Copyright:
© 2017 Elsevier Ltd
PY - 2017/9/1
Y1 - 2017/9/1
N2 - Wind resource characteristics in a mountain wind farm is more complicated and changeable than that in a flat wind farm due to the influence of complex mountain terrain-topography on air flow. Although there have been a large number of investigations on wind resource characteristics, the local wind resource characteristics in a mountain wind farm are still a lack. To fill this knowledge gap, high-resolution wind data are extracted for investigating from multiple-unit SCADA data, that is, wind data are collected from four selected wind turbines with SCADA system, which means wind data are from four different locations. For each location, more than thirty million sets of wind data are extracted for investigation in 2015. Then, several kinds of probability density functions (PDFs) are compared, and one-dimensional and multidimensional kernel density estimation method is selected for the investigation of the frequency distribution. Data preprocessing methods of both wind speed and wind direction are also presented. Finally, the results of this investigation reveal the specific change characteristics of wind speed and wind direction in the investigated mountain wind farm. Yearly mean wind speeds for four different locations are 3.8 m/s, 5.1 m/s, 5.4 m/s and 5.6 m/s, respectively.
AB - Wind resource characteristics in a mountain wind farm is more complicated and changeable than that in a flat wind farm due to the influence of complex mountain terrain-topography on air flow. Although there have been a large number of investigations on wind resource characteristics, the local wind resource characteristics in a mountain wind farm are still a lack. To fill this knowledge gap, high-resolution wind data are extracted for investigating from multiple-unit SCADA data, that is, wind data are collected from four selected wind turbines with SCADA system, which means wind data are from four different locations. For each location, more than thirty million sets of wind data are extracted for investigation in 2015. Then, several kinds of probability density functions (PDFs) are compared, and one-dimensional and multidimensional kernel density estimation method is selected for the investigation of the frequency distribution. Data preprocessing methods of both wind speed and wind direction are also presented. Finally, the results of this investigation reveal the specific change characteristics of wind speed and wind direction in the investigated mountain wind farm. Yearly mean wind speeds for four different locations are 3.8 m/s, 5.1 m/s, 5.4 m/s and 5.6 m/s, respectively.
KW - Frequency distribution
KW - Mountain wind farm
KW - SCADA data
KW - Wind resource assessment
UR - http://www.scopus.com/inward/record.url?scp=85020400800&partnerID=8YFLogxK
U2 - 10.1016/j.enconman.2017.05.075
DO - 10.1016/j.enconman.2017.05.075
M3 - Article
AN - SCOPUS:85020400800
VL - 148
SP - 378
EP - 393
JO - Energy Conversion and Management
JF - Energy Conversion and Management
SN - 0196-8904
ER -
