Small Wind Turbine Power Curve Comparison

被引:0
|
作者
Simic, Zdenko [1 ]
Vrhovcak, Maja Bozicevic [2 ]
Sljivac, Damir [3 ]
机构
[1] Univ Zagreb, Fac Elect Engn & Comp, Dept Power Syst, Unska 3, Zagreb 10000, Croatia
[2] Soc Sustainable Dev Design, Zagreb, Croatia
[3] Univ Osije, Dept Power Syst, Fac Elect, Osije, Croatia
来源
2009 AFRICON, VOLS 1 AND 2 | 2009年
关键词
wind energy; wind power generation; power generation economics;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
This paper focus is on the small wind turbines resource potential estimation. Assessment is done for seven selected small wind turbines and one measured set of wind speed data with the micropower optimization modeling tool HOMER. Goal was to investigate how estimated energy production and economical parameters are sensitive to the selection of small wind turbine. Selected turbines have similar rated power, but different blades diameter and aerodynamic characteristics. Energy production was quantified for one year with hourly resolution. Results from all different wind-turbines were compared on the power production base, and on the economical base. Two sensitivity cases related to the wind speed and installation lifetime were also simulated. Results are showing significant importance of the small wind turbine selection for the both total energy production and economical feasibility. This makes small wind turbine characteristics such as reliability and power curves testing very important.
引用
收藏
页码:181 / 186
页数:6
相关论文
共 50 条
  • [11] Wind Turbine Condition Assessment Through Power Curve Copula Modeling
    Gill, Simon
    Stephen, Bruce
    Galloway, Stuart
    IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2012, 3 (01) : 94 - 101
  • [12] Comparison of Wind Turbine Power Control Strategies to Provide Power Reserves
    Van de Vyver, Jan
    De Kooning, Jeroen D. M.
    Vandoorn, Tine L.
    Meersman, Bart
    Vandevelde, Lieven
    2016 IEEE INTERNATIONAL ENERGY CONFERENCE (ENERGYCON), 2016,
  • [13] Wind Turbine Power Curve Modeling Using Advanced Parametric and Nonparametric Methods
    Shokrzadeh, Shahab
    Jozani, Mohammad Jafari
    Bibeau, Eric
    IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2014, 5 (04) : 1262 - 1269
  • [14] Control of a Small Wind Turbine in the High Wind Speed Region
    Lumbreras, Carlos
    Manuel Guerrero, Juan
    Garcia, Pablo
    Briz, Fernando
    Daz Reigosa, David
    IEEE TRANSACTIONS ON POWER ELECTRONICS, 2016, 31 (10) : 6980 - 6991
  • [15] A comprehensive approach to wind turbine power curve modeling: Addressing outliers and enhancing accuracy
    Mushtaq, Khurram
    Waris, Asim
    Zou, Runmin
    Shafique, Uzma
    Khan, Niaz B.
    Khan, M. Ijaz
    Jameel, Mohammed
    Khan, Muhammad Imran
    ENERGY, 2024, 304
  • [16] The ideal power curve of small wind turbines from field data
    Trivellato, F.
    Battisti, L.
    Miori, G.
    JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS, 2012, 107 : 263 - 273
  • [18] Comparative analysis on power curve models of wind turbine generator in estimating capacity factor
    Chang, Tian-Pau
    Liu, Feng-Jiao
    Ko, Hong-Hsi
    Cheng, Shih-Ping
    Sun, Li-Chung
    Kuo, Shye-Chorng
    ENERGY, 2014, 73 : 88 - 95
  • [19] Reliability analysis of grid connected small wind turbine power electronics
    Arifujjaman, Md.
    Iqbal, M. T.
    Quaicoe, J. E.
    APPLIED ENERGY, 2009, 86 (09) : 1617 - 1623
  • [20] Sparse Heteroscedastic Multiple Spline Regression Models for Wind Turbine Power Curve Modeling
    Wang, Yun
    Li, Yifen
    Zou, Runmin
    Foley, Aoife M.
    Al Kez, Dlzar
    Song, Dongran
    Hu, Qinghua
    Srinivasan, Dipti
    IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2021, 12 (01) : 191 - 201