Wind speed description and power density in northern Spain

被引:28
|
作者
Herrero-Novoa, Cristina [1 ]
Perez, Isidro A. [1 ]
Luisa Sanchez, M. [1 ]
Angeles Garcia, Ma [1 ]
Pardo, Nuria [1 ]
Fernandez-Duque, Beatriz [1 ]
机构
[1] Univ Valladolid, Dept Appl Phys, Fac Sci, Paseo Belen 7, E-47011 Valladolid, Spain
关键词
Wind statistics; Weibull distribution; Correlation; Surface distribution; PROBABILITY-DISTRIBUTIONS; ENERGY CHARACTERISTICS; RESOURCE ASSESSMENT; WEIBULL; LOCATIONS; SODAR; GENERATION; SELECTION; MODEL; PARTS;
D O I
10.1016/j.energy.2017.07.127
中图分类号
O414.1 [热力学];
学科分类号
摘要
Wind resources are increasingly being investigated as a clean alternative for generating energy. This paper analyses the daily wind speed recorded at 46 automatic weather stations located in Navarre, northern Spain, in 2005-2015. Key points are the surface density of stations and the range of time, that ensure a faithful depiction of wind speed together with surface calculations from image analysis and correlation with height. Different statistics were used. Median wind speed at 10 m was low, about 3.3 m s(-1) and its interquartile range was narrow, about 2.3 m s(-1). Nearly half the surface shows a median wind speed above 3.0 m s(-1). The method of moments was employed to calculate the parameters of the Weibull distribution. Around half of the surface presented a shape parameter above 2.25 and the scale parameter was above 4 m s(-1) for nearly 41% of the region. Although wind resources are not suitable for wind turbine applications in most of the region, since the wind speed is low in low-lying areas, about 12% of the region is suitable for stand-alone applications and, moreover, a substantial part of the region, around 23%, presents satisfactory wind resources for the installation of wind turbines. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:967 / 976
页数:10
相关论文
共 50 条
  • [1] Evaluation of Northern Hemisphere surface wind speed and wind power density in multiple reanalysis datasets
    Miao, Haozeyu
    Dong, Danhong
    Huang, Gang
    Hu, Kaiming
    Tian, Qun
    Gong, Yuanfa
    ENERGY, 2020, 200
  • [2] Potential of wind speed for wind power generation in Perlis, Northern Malaysia
    School of Electrical System Engineering, Universiti Malaysia Perlis , Malaysia
    Telkomnika, 3 (575-582):
  • [3] An analysis of wind power density derived from several wind speed density functions: The regional assessment on wind power in Malaysia
    Masseran, N.
    Razali, A. M.
    Ibrahim, K.
    RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2012, 16 (08): : 6476 - 6487
  • [4] Analysis of Wind Speed Extrapolation and Wind Power Density Assessment in Tetouan City
    El Khachine, Houda
    Ouahabi, Mohamed Hatim
    Taoukil, Driss
    ENERGY SCIENCE & ENGINEERING, 2025,
  • [5] POWER DENSITY SPECTRUM OF SURFACE WIND SPEED ON PALMYRA ISLAND
    HWANG, HJ
    MONTHLY WEATHER REVIEW, 1970, 98 (01) : 70 - &
  • [6] A Statistical Analysis of the Wind Speed Distribution Parameters and Wind Power Density in Antakya Region
    Mert, Ilker
    Karakus, Cuma
    JOURNAL OF POLYTECHNIC-POLITEKNIK DERGISI, 2015, 18 (01): : 35 - 42
  • [7] Time resolution of wind speed data introduces errors in wind power density assessment
    Yang, Xinrong
    Tao, Yiheng
    Jin, Yubin
    Ye, Bin
    Ye, Fan
    Duan, Weili
    Xu, Rongrong
    Zeng, Zhenzhong
    ENERGY CONVERSION AND MANAGEMENT-X, 2024, 24
  • [8] Assessing the suitability of wind speed probabilty distribution functions based on wind power density
    Celik, AN
    RENEWABLE ENERGY, 2003, 28 (10) : 1563 - 1574
  • [9] Observation and Simulation of Wind Speed and Wind Power Density over Bac Lieu Region
    Hiep Van Nguyen
    Pham Xuan Thanh
    Nguyen Duc Nam
    Nguyen Xuan Anh
    Pham Le Khuong
    Hoang Hai Son
    Nguyen Tien Manh
    Pham Chi Cong
    ADVANCES IN METEOROLOGY, 2021, 2021
  • [10] Comparison of Wind Speed, Wind Directions, and Weibull Parameters for Sites Having Same Wind Power Density
    Sharma, Akanksha
    Saxena, Bharat Kumar
    Rao, K. V. S.
    PROCEEDINGS OF 2017 INTERNATIONAL CONFERENCE ON TECHNOLOGICAL ADVANCEMENTS IN POWER AND ENERGY (TAP ENERGY): EXPLORING ENERGY SOLUTIONS FOR AN INTELLIGENT POWER GRID, 2017,