首页> 外文会议>2017 International Conference on Technological Advancements in Power and Energy >Estimation of Weibull parameters and wind power density at a wind farm site of Jogimatti at Chitradurga in Karnataka
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Estimation of Weibull parameters and wind power density at a wind farm site of Jogimatti at Chitradurga in Karnataka

机译:卡纳塔克邦奇特拉杜尔加Jogimatti风力发电场的威布尔参数和风能密度估算

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摘要

Wind power density is a crucial parameter for estimation and comparison of the potential of a wind farm with that of other sites. Wind speed distribution data are needed for the evaluation of wind power density at a particular location. In this study, calculation of monthly wind power density (WPD) at different heights for Jogimatti site at Chitradurga in Karnataka, India are investigated statistically by using measured wind data provided by National Institute of Wind Energy (NIWE) for the year 2014. Three different methods namely empirical relation method, energy pattern factor method (power density method), and moment method are used for estimating the Weibull parameters k (shape factor) and c (scale factor). Monthly Weibull parameters are estimated using above mentioned three methods using wind speed data at 30 m, 60 m, 90 m, and 120 m heights. Using k and c, WPD is estimated at wind mast heights of 30 m, 60 m, 90 m, and 120 m for all the twelve months by using the above three methods. Air density is calculated for the chosen site by extrapolating temperature and pressure data of 10 m (NASA data in RETScreen Expert software) to 30 m, 60 m, 90 m, and 120 m heights respectively by using the relations available in literature.
机译:风能密度是估算和比较风电场与其他场所的潜力的关键参数。需要风速分布数据来评估特定位置的风能密度。在这项研究中,通过使用美国国立风能研究所(NIWE)提供的2014年实测风数据,对印度Chitradurga的Chitradurga的Jogimatti站点在不同高度的月度风能密度(WPD)进行了统计研究。三种不同经验关系法,能量模式因子法(功率密度法)和矩量法等方法用于估计Weibull参数k(形状因子)和c(比例因子)。使用上述三种方法,使用30 m,60 m,90 m和120 m高度的风速数据,估计月度威布尔参数。使用k和c,通过上述三种方法,在整个十二个月的风帆高度分别为30 m,60 m,90 m和120 m的情况下,估计WPD。使用文献中提供的关系,通过将10 m的温度和压力数据(RETScreen Expert软件中的NASA数据)外推到30 m,60 m,90 m和120 m的高度,来计算选定地点的空气密度。

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