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Analysis of wind power potentials at selected airport locations in Canada

机译:分析加拿大部分机场的风电潜力

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摘要

Wind power has huge potential as a source of sustainable/renewable energy. In this paper, we analysed wind speed data from 21 major Canadian airports over 1971-2000 to determine the top four locations (i.e. having long-term annual average wind speed greater than 4.83 m s~(-1) at a height of 10 m) for further analysis. We employed Weibull probability density function to fit with the actual probability density (i.e. relative frequency distribution) of the hourly wind speed data for the year 2005. The parameters of Weibull probability function were found location-specific and then used to predict the probability density from 2006 to 2008, and found strong relations (i.e. r~2-values in the range 0.83-0.94) existed with the measured probability density. On the one hand, our simulation also indicated that location of St. John's, Newfoundland and Labrador could produce the highest amount of total annual power (i.e. 883,993 kWh), and Charlottetown, Prince Edward Island, on the other hand, could produce the least amount (i.e. 344,508 kWh in total, annually).
机译:风能作为可持续/可再生能源的潜力巨大。在本文中,我们分析了1971-2000年加拿大21个主要机场的风速数据,以确定前四个位置(即,在10 m高度处的长期年平均风速大于4.83 ms〜(-1))进行进一步分析。我们采用了Weibull概率密度函数来拟合2005年每小时风速数据的实际概率密度(即相对频率分布)。找到特定于位置的Weibull概率函数的参数,然后根据其预测概率密度。从2006年到2008年,发现与测得的概率密度之间存在很强的关系(即r〜2-值在0.83-0.94范围内)。一方面,我们的模拟还表明,圣约翰,纽芬兰和拉布拉多的位置可以产生最高的年总发电量(即883,993 kWh),而爱德华王子岛的夏洛特敦则可以产生最少的年总发电量。量(即每年总计344,508 kWh)。

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