Performance Analysis of Wind Turbines with Different Ratings for Site Matching

被引:0
|
作者
Kala, Himani [1 ]
Sandhu, K. S. [2 ]
机构
[1] NIT Kurukshetra, Sch Renewable Energy & Efficiency, Kurukshetra, Haryana, India
[2] NIT Kurukshetra, Dept Elect Engn, Kurukshetra, Haryana, India
关键词
Wind Turbines; Wind Energy Conversion Systems (WECS); Capacity Factor; Availability Factor; CAPACITY FACTOR; GENERATORS;
D O I
暂无
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
The energy extracting efficiency of a wind energy conversion system (WECS) depends on the suitability between wind turbine and wind energy conversion site. Capacity factor is a parameter widely used for matching wind turbines with a windy site with its high value desired. A high capacity factor ensures low cost of wind energy conversion system. In addition to this availability factor is another parameter of performance index of a wind turbine. A High value of availability factor indicates that wind turbine is operational most of the time. Availability factor is important because the decision of licensing agencies may depend on it in order to support the operational planning of the utility in the area. For a wind energy site these factors depends on speed ratings of the wind turbine i.e. cut-in speed, rated speed and cut-out speed. But these parameters have different effects on capacity factor and availability factor under different conditions. In this paper an attempt has been made to analyze such effect using fifteen wind turbines. Simulation results using MATLAB coding are found to be effective to propose few recommendations for the selection of wind turbines for variable wind speed zones.
引用
收藏
页数:4
相关论文
共 50 条
  • [1] Comparative Analysis of MPPT Algorithms using Wind Turbines with Different Dimensions & Ratings
    Rathi, Reshu
    Sandhu, K. S.
    PROCEEDINGS OF THE FIRST IEEE INTERNATIONAL CONFERENCE ON POWER ELECTRONICS, INTELLIGENT CONTROL AND ENERGY SYSTEMS (ICPEICES 2016), 2016,
  • [2] Performance analysis of Savonius wind turbines in different models
    Simsek, Ayse
    Teksin, Suleyman
    Akansu, Selahaddin Orhan
    Akansu, Yahya Erkan
    WIND ENGINEERING, 2022, 46 (05) : 1440 - 1451
  • [3] Wind Power Assessment and Site Matching of Wind Turbines in Lootak of Zabol
    Rahmani, Kiana
    Kasaeian, Alibakhsh
    Fakoor, Mandi
    Kosari, Amirreza
    Alavi, Sayyedbenyamin
    INTERNATIONAL JOURNAL OF RENEWABLE ENERGY RESEARCH, 2014, 4 (04): : 965 - 976
  • [4] A TOPSIS-based approach for wind turbines ranking with negative performance ratings and different weighting strategies
    Zahariea, Danut
    Husaru, Dorin Emil
    Paval, Mihai Silviu
    SUSTAINABLE SOLUTIONS FOR ENERGY AND ENVIRONMENT (EENVIRO 2018), 2019, 85
  • [5] Analysis of wind regimes and performance of wind turbines
    Mathew, Sathyajith
    Philip, Geetha Susan
    Lim, Chee Ming
    Environmental Science and Engineering, 2011, 1 (01): : 71 - 83
  • [6] PERFORMANCE OF VERTICAL AXIS WIND TURBINES WITH DIFFERENT SHAPES
    MARINI, M
    MASSARDO, A
    SATTA, A
    JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS, 1992, 39 (1-3) : 83 - 93
  • [7] Performance Analysis of Lidar for Smart Wind Turbines
    Liu, Xian
    Wu, Hsiao-Chun
    2015 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2015, : 758 - 763
  • [8] Performance analysis of open and ducted wind turbines
    Bontempo, R.
    Manna, M.
    APPLIED ENERGY, 2014, 136 : 405 - 416
  • [9] Characterization and optimal site matching of wind turbines: Effects on the economics of synthetic methane production
    de la Cruz, Veronica
    Martin, Mariano
    JOURNAL OF CLEANER PRODUCTION, 2016, 133 : 1302 - 1311
  • [10] Roof mounting site analysis for micro-wind turbines
    Ledo, L.
    Kosasih, P. B.
    Cooper, P.
    RENEWABLE ENERGY, 2011, 36 (05) : 1379 - 1391