The use of wind energy has been growing worldwide continuously over the last years due to global efforts to combat climate change. The modern turbines are becoming ever more cost effective and are gaining features that aim to reduce further the impact on the environment, such as reducing noise or increasing the height. In this context, the current study investigates the persistence of wind in Fernando de Noronha archipelago, an important Brazilian ecological site, using hourly wind speed data at 100-m height. To this end, data from Era5 reanalysis were used, as they present high resolution and good performance in estimating meteorological data, and two well-known methods were applied to quantify wind persistence: duration curve and conditional probability. In addition, a novel method is proposed regarding persistence probability of periods of viable energy generation. The results obtained show that Fernando de Noronha archipelago presents rather high wind persistence on a monthly scale, with considerably long intervals of wind speed useful for wind power generation.

近年来，由于全球为应对气候变化而付出的努力，风能的使用一直在全球范围内持续增长。现代涡轮机变得越来越具有成本效益，并且具有旨在进一步减少对环境的影响（例如降低噪音或增加高度）的功能。在这种情况下，本研究使用每小时100米高度的风速数据，调查了巴西重要的生态站点费尔南多·德诺罗尼亚群岛的风的持久性。为此，使用了来自Era5重新分析的数据，因为它们在估算气象数据方面具有较高的分辨率和良好的性能，并且应用了两种众所周知的方法来量化风的持久性：持续时间曲线和条件概率。此外，针对可行的能量产生周期的持续概率，提出了一种新的方法。获得的结果表明，费尔南多·德诺罗尼亚群岛每月表现出相当高的风持久性，相当长的风速间隔可用于风力发电。