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Assessments of Wind Power Potential Using NewMeteorological Archives and Doppler SODARMeasurements: Strategies and Experience

机译:使用新气象档案和多普勒SODAR测量评估风电潜力:策略和经验

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There have been several past studies and compilations of wind power potential, such as the WindrnEnergy Resource Atlas of the United States produced in the mid 1980s. Limitations in windrnmeasurements are critical to assessments of wind power potential because the wind powerrnavailable is proportional to the cube of the wind speed. Therefore, gaps in the database orrninterpolations and extrapolations from widely separated wind observations in time and space canrnhave significant consequences.rnIn recent years, especially since the late 1990s, the amount and resolution of meteorological datarnhas increased and improved dramatically. Today, special software is used by the NationalrnCenters for Environmental Prediction that incorporates and quality-assures a much larger varietyrnof sources of wind data and assimilates the data to horizontal grids with resolutions of 20-40rnkilometers or less with numerous levels in the vertical. The data set is used as thern“initialization” meteorology (observed and quality-assured) for performing weather forecastrnmodeling. The RUC (Rapid Update Cycle) weather model employs sophisticated short-termrnweather data assimilation and forecast tools that combine forecasts from the recent past withrnupdated meteorological data readings. More importantly, the RUC model incorporates newrnsources of data in addition to the hourly surface observations and twice-daily balloon soundingsrnused in more traditional data sets, such as:rn? satellite derived-wind and temperature data;rn? Doppler radar that provides newly available wind data in three dimensions from several radarrnsweeps each hour, extending well offshore near coastlines;rn? wind profilers that probe the atmosphere vertically; andrn? aircraft ascent-descent reports, newly available from several hundred commercial flights perrnday in the U.S.rnThis paper shows that in comparison to wind tower measurement sites in North Dakota, the RUCrnmeteorological data provides more accurate (and higher) estimates of wind power potential thanrnthat obtained from traditional data.rnAWEA GLOBAL WINDPOWER 2004 Conference Paper 2rnOnce a regional assessment of wind power potential is completed using numerical modeling,rnmicro-siting assessments usually require site-specific meteorological measurements. For micrositingrnstrategies with wind turbines that exceed the height of standard 50-m meteorologicalrntowers, it is highly recommended that some wind measurements occur at and above hub height.rnThis is important due to periods of nocturnal wind shear that can feature to near-calm winds nearrnthe ground, but much higher winds at hub height. To take these measurements without thernbenefit of very tall and expensive meteorological towers, a ground-based, remote-sensingrnDoppler SODAR can be used, even in a short-term measurement campaign. However, the use ofrnDoppler SODARs in wind energy assessments is not often done because of the lack ofrnexperience with this remote sensing instrument. This paper summarizes a comparison betweenrnSODAR and conventional 100-m tower measurements at 9 sites throughout the United States,rneach of which was maintained for a full year. The comparison clearly shows that if properlyrnsited and operated, the Doppler SODAR can be a very useful tool for micro-siting wind energyrnassessments.
机译:过去对风能潜力进行了一些研究和汇编,例如1980年代中期出版的美国WindrnEnergy Resource Atlas。风能测量的限制对于评估风能潜力至关重要,因为可用的风能与风速的立方成正比。因此,在时间和空间上广泛分离的风观测资料的数据库内插法和外推法的差距可能会产生重大后果。近年来,尤其是自1990年代后期以来,气象数据的数量和分辨率得到了极大的提高和提高。如今,国家环境预测中心使用了专用软件,该软件结合并保证了更大范围的风数据来源,并将数据同化到水平网格中,分辨率为20至40公里或更小,并且在垂直方向上具有多个水平。该数据集用作“初始化”气象学(已观察到并有质量保证),用于进行天气预报建模。 RUC(快速更新周期)天气模型采用复杂的短期天气数据同化和预报工具,将最近的预报与更新的气象数据读数结合在一起。更重要的是,RUC模型除了每小时的地面观测数据和每天两次的气球探测之外,还包含新的数据源,这些数据在更传统的数据集中使用,例如:卫星导出的风和温度数据;多普勒雷达可从每小时几度的雷达扫掠提供三个维度的最新可用风数据,并在海岸线附近的近海延伸;可以垂直探测大气的风廓线仪;安德恩?飞机上升下降报告,最近可从美国每周的数百次商业飞行中获得。本文显示,与北达科他州的风塔测量地点相比,RUCrn气象数据提供的风能潜力估算值比从北达科他州获得的更准确(也更高)。传统数据。2004年美国WEA WINDPOWER会议论文2使用数值模型完成对风能潜力的区域评估后,微选址评估通常需要特定地点的气象测量。对于超过标准50米气象塔的高度的风力涡轮机微策略,强烈建议在轮毂高度及其上方进行一些风的测量.rn这是重要的,因为夜间风切变的时间段可能导致接近地面,但轮毂高度的风要高得多。为了在没有非常高而昂贵的气象塔的好处的情况下进行这些测量,即使在短期测量活动中,也可以使用基于地面的遥感多普勒SODAR。但是,由于缺乏这种遥感仪器的经验,在风能评估中很少使用多普勒SODAR。本文总结了在美国9个站点进行的SODAR和常规100米塔架测量之间的比较,其中每个站点都维护了整整一年。对比清楚地表明,如果正确定位和运行多普勒SODAR,它将成为微型选址风能评估的非常有用的工具。

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