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2012年3月19日,银河风力发电有限公司自主研制的2.5Mw高原型风电机组在贵州省六盘水市盘县吊装成功。此风电机组是我国第一台针对高原风场环境设计的直驱型风电机组,风轮直径为93m。该风机采用直驱永磁技术,具有运行及维护费用低、发电效率及机械效率高、平均无故障率运行时间长等特点。此外,水内冷发电机组和转换器的组合,比空气冷却更能有效保持恒定温度,完全封闭的发动机舱则避免了灰尘污染及盐雾腐蚀。盘县四格风电场一期工程总装机容量约为47.5MW,采用19台单机容量为2500kW的风力发电机组。 相似文献
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1概述自本世纪70年代末,在国家科委和有关部委及省、市科委的支持下,各有关大专院校、研究院所和制造厂纷纷开展了共同型(大、中型)风力发电机组的研究穹开发工作。从“六五”期间的20kW30kw40kw、55kw直到“八五”期间的120kW与200kW,取得了许多科研成果。尤其是200kW风力机组,是国家科委“八五”攻关项目,由中国风能中心组织浙江省机电院、清华大学、杭州发电设备厂、国防科工委29基地等8个单位经过5年多的科技攻关,于1997年4月完成了Z000h无故障运行考验,并通过了国家级鉴定。经过十余年的研究和开发,我国已基本上掌握了20O… 相似文献
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对我国风电发展战略及政策措施的思考 总被引:3,自引:0,他引:3
1全球风电设备制造技术和发展规模突飞猛进尽管全球风力发电发展历史不长,但在过去20多年的时间内,已取得了长足的进步。首先,风力发电机组制造技术发展日新月异。20世纪80年代初,全球已开发成功55kW风电机组;到了1985年则开发出110kW机组;进入90年代,出现了250kW机组;90年代中期又有600kW风机,现在MW级风机已广泛分布在全球的大多数风场。目前商业化运行风机单机容量已达到2500kW。丹麦是全球风电设备制造最主要国家之一,其风电设备制造商销售的风机单机平均容量2000年为861kW,2001年已经达到944kW。随着世界风电向海上风场建设方向发… 相似文献
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风 风能 风力发电——21世纪新型清洁能源 总被引:7,自引:0,他引:7
一风的一般属性1风的形成风是人们非常熟悉的一种自然现象,人人都能感觉到它的存在。春风和煦,给万物带来生机;夏风吹拂,使人心旷神怡;秋风送爽,带来丰收的喜悦;冬风呼啸,迎来漫天飞雪。那么风是怎样形成的呢?众所周知,人类生活的地球表面被大气所包围,来自太阳的辐射不断传送到地球表面,因太阳辐射受热情况不同,地球表面各处的气温不同。在影响气压高低的因素中,气温起着最重要的作用。温度高的地区空气受热上升,气压减小;温度低的地方,空气下降,气压增大,于是产生了气压差。和水往低处流一样,空气也从气压高处向气压… 相似文献
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Here, we quantify relationships between wind farm efficiency and wind speed, direction, turbulence and atmospheric stability using power output from the large offshore wind farm at Nysted in Denmark. Wake losses are, as expected, most strongly related to wind speed variations through the turbine thrust coefficient; with direction, atmospheric stability and turbulence as important second order effects. While the wind farm efficiency is highly dependent on the distribution of wind speeds and wind direction, it is shown that the impact of turbine spacing on wake losses and turbine efficiency can be quantified, albeit with relatively large uncertainty due to stochastic effects in the data. There is evidence of the ‘deep array effect’ in that wake losses in the centre of the wind farm are under‐estimated by the wind farm model WAsP, although overall efficiency of the wind farm is well predicted due to compensating edge effects. Copyright © 2010 John Wiley & Sons, Ltd. 相似文献
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We introduce a novel scheme for small wind turbines that gives dynamic estimation of wind speed from rotor angular velocity measurements. The estimation proceeds in two different dynamic observers, one giving a valid estimate for higher Tip Speed Ratios (TSRs) and which we call the Upper Wind Estimator (UWE) and the other called the Lower Wind Estimator (LWE) valid for lower TSRs. The meaning of “higher” and “lower”, and the precise regions of validity, are quantified. We further propose a coordinated control scheme using the UWE. Simulations are presented showing closed-loop performance of the turbine and the estimators both in the optimal TSR regulation condition, and the dynamic power-shedding condition caused by a wind gust. An analytic analysis of closed-loop stability and of the convergence and bias properties of the estimator is provided. Empirical data showing performance on a real turbine is also presented. 相似文献
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Simulation of hourly wind speed and array wind power 总被引:2,自引:0,他引:2
Statistical summaries of wind speed are sufficient to compute many characteristics of turbine-generated power, such as the mean, variance and reliability of various power levels. However, a wind speed time series is necessary to produce a sequence of power values as used for investigating load matching and storage requirements. Since a long historical record of wind speed may not be available at a wind turbine candidate site, it is desirable to be able to generate a simulated numerical sequence of hourly wind speed values. Two such approximate procedures are developed in this paper. One procedure generates sequential wind speed values at a site based on the Weibull parameters of hourly wind speed and the lag-one autocorrelation of hourly wind speed values. Comparison with historical data at a site is made. The second procedure generates sequential hourly wind power values for a regional array of wind turbines. It utilizes the typical site wind characteristics, the spatial and lag-one cross correlation and autocorrelation of hourly wind speed values and an equivalent linearized relationship between array average wind speed and array power. Comparison with results for six different wind turbines in three different regional arrays indicates good agreement for wind power histograms, autocorrelation function and mean persistence. 相似文献
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Knowledge of the wind speed distribution and the most frequent wind directions is important when choosing wind turbines and when locating them. For this reason wind evaluation and characterization are important when forecasting output power. The data used here were collected from eleven meteorological stations distributed in Navarre, Spain. We obtained data for the period extending from 1992 to 1995, with each datum encompassing 10 minutes of time. Wind speed data of each station were gathered in eight directional sectors, each one extended over 45 degrees according to the direction from which the wind blows. The stations were grouped in two blocks: those under the influence of the Ebro valley and those in mountainous areas. For each group the Weibull parameters were estimated, (according to the Weibull probability paper because the Weibull distribution gives the best fit in this region). Kurtosis and skewness coefficients were estimated as well. The Weibull parameters, especially the scale parameter c, depend strongly on the direction considered, and both Weibull parameters show an increasing trend as the direction considered moves to the more dominant direction, while both kurtosis and skewness show a corresponding decreasing trend. 相似文献
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A new formulation for rotor equivalent wind speed for wind resource assessment and wind power forecasting 下载免费PDF全文
Aditya Choukulkar Yelena Pichugina Christopher T. M. Clack Ronald Calhoun Robert Banta Alan Brewer Michael Hardesty 《风能》2016,19(8):1439-1452
The spurt of growth in the wind energy industry has led to the development of many new technologies to study this energy resource and improve the efficiency of wind turbines. One of the key factors in wind farm characterization is the prediction of power output of the wind farm that is a strong function of the turbulence in the wind speed and direction. A new formulation for calculating the expected power from a wind turbine in the presence of wind shear, turbulence, directional shear and direction fluctuations is presented. It is observed that wind shear, directional shear and direction fluctuations reduce the power producing capability, while turbulent intensity increases it. However, there is a complicated superposition of these effects that alters the characteristics of the power estimate that indicates the need for the new formulation. Data from two field experiments is used to estimate the wind power using the new formulation, and results are compared to previous formulations. Comparison of the estimates of available power from the new formulation is not compared to actual power outputs and will be a subject of future work. © 2015 The Authors. Wind Energy published by John Wiley & Sons, Ltd. 相似文献