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>An aggregated wind power generation model based on MERRA reanalysis data: MATLAB model and example data for the April 2014 wind farm distribution of Great Britain.
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An aggregated wind power generation model based on MERRA reanalysis data: MATLAB model and example data for the April 2014 wind farm distribution of Great Britain.
The MATLAB model is contained within the compressed folders (versions are available as .zip and .tgz). This model uses MERRA reanalysis data (>34 years available) to estimate the hourly aggregated wind power generation for a predefined (fixed) distribution of wind farms.ududA ready made example is included for the wind farm distribution of Great Britain, April 2014 ("CF.dat"). This consists of an hourly time series of GB-total capacity factor spanning the period 1980-2013 inclusive.ududGiven the global nature of reanalysis data, the model can be applied to any specified distribution of wind farms in any region of the world. ududUsers are, however, strongly advised to bear in mind the limitations of reanalysis data when using this model/data. This is discussed in our paper:ududCannon, Brayshaw, Methven, Coker, Lenaghan. "Using reanalysis data to quantify extreme wind power generation statistics: a 33 year case study in Great Britain". Submitted to Renewable Energy in March, 2014. ududAdditional information about the model is contained in the model code itself, in the accompanying ReadMe file, and on our website:ududhttp://www.met.reading.ac.uk/~energymet/data/Cannon2014/
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机译：MATLAB模型包含在压缩的文件夹中（版本分别为.zip和.tgz）。该模型使用MERRA重新分析数据（可用期超过34年）来估算风电场的预定义（固定）分布的每小时总风能发电量。 ud ud其中包括一个现成的示例，用于4月英国的风电场分布2014（“ CF.dat”）。它由每小时的GB总容量因子的时间序列组成，涵盖了1980年至2013年（含）期间。 ud ud鉴于重新分析数据的全球性质，该模型可以应用于世界任何地区的任何特定风电场分布。 ud ud但是，强烈建议用户在使用此模型/数据时记住重新分析数据的限制。我们的论文对此进行了讨论： ud udCannon，Brayshaw，Methven，Coker，Lenaghan。 “使用再分析数据量化极端风力发电的统计数据：英国的一项33年案例研究”。 2014年3月提交给可再生能源。 ud ud有关模型的其他信息包含在模型代码本身，随附的自述文件中以及我们的网站上： ud udhttp：//www.met.reading.ac .uk /〜energymet / data / Cannon2014 /
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