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首页> 外文期刊>Renewable energy >Performance analysis of the first method for long-term turbulence intensity estimation at potential wind energy sites
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Performance analysis of the first method for long-term turbulence intensity estimation at potential wind energy sites

机译：潜在风能站点长期湍流强度估算第一种方法的性能分析

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The paper presents a validation test of a recent algorithm implemented by the author to correlate turbulence intensity (TI) data recorded at two meteorological masts and based on the conditional probability to measure simultaneous events of wind speed, direction and TI. Two testing sites, located about 5 km apart from each other in a hilly terrain, in the South of Australia, are considered in this work. Three years of concurrent data (2005-2008) are analyzed to estimate a long-term (LT) representative TI. A complete examination of the scores is carried out by spanning dimension and temporal period of the data samples used in the correlation analysis. Root mean square error, committed by the method to approximate mean value of TI measured in each of the three years, can be correlated with number of used months by exponential decay functions. The intermonthly variations stronger affect the accuracy of the results than the yearly ones. However, the average errors are always moderate and good performances are achieved for all the considered wind speed thresholds and also when examining different periods of the year. The tested methodology represents an important step through standardization of Measure-correlate-predict (MCP) technique for TI assessment.
机译：本文介绍了作者执行的一种最新算法的验证测试，该算法用于关联记录在两个气象桅杆上的湍流强度（TI）数据，并基于条件概率来测量风速，风向和TI的同时事件。这项工作考虑了两个测试站点，它们位于澳大利亚南部丘陵地带，彼此相距约5公里。分析了三年的并发数据（2005-2008），以估计长期（LT）代表TI。通过跨度和相关分析中使用的数据样本的时间周期来对得分进行全面检查。该方法所承诺的均方根均方根误差近似于三年中每年测量的TI平均值，可以通过指数衰减函数与使用的月数相关联。月度变化比年度变化对结果准确性的影响更大。但是，对于所有考虑的风速阈值，以及在检查一年中的不同时段时，平均误差始终适中，并且表现良好。经过测试的方法论代表了用于TI评估的度量相关预测（MCP）技术标准化的重要一步。

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