Mapping global offshore wind resource: wake losses, optimisation potential and climate effects

Simon C Warder, Matthew D Piggott
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Abstract

In this work, we assess global offshore wind energy resources, wake-induced losses, array layout optimisation potential and climate change impacts. We first map global offshore ambient wind resource from reanalysis data. We estimate wake-induced losses using an engineering wake model, revealing that locations with low (high) resource typically experience larger (smaller) percentage losses. However, we further find that the specific wind speed distribution is important, with narrower distributions generally leading to greater losses. This is due to the overlap between the wind speed distribution and the high-sensitivity region of the turbine thrust and power curves. Broadly, this leads to much stronger wake-induced losses in the tropics (which experience the trade winds) than mid-latitudes. However, the tropics also experience a narrower wind direction distribution; our results demonstrate that this leads to greater potential for mitigation of wake effects via layout optimisation. Finally, we assess projected changes in wind resource and wake losses due to climate change under a high-emission scenario. Many regions are projected to decrease in ambient wind resources, and furthermore these regions will typically experience greater wake-induced losses, exacerbating the climate impact. These results highlight the different challenges and opportunities associated with exploiting offshore wind resources across the globe.
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绘制全球海上风力资源图:尾流损失、优化潜力和气候影响
在这项工作中,我们对全球近海风能资源、尾流诱导损失、阵列布局优化潜力和气候变化影响进行了评估。我们首先利用再分析数据绘制了全球近海环境风能资源图。我们使用工程尾流模型对尾流诱导损失进行了估算,结果表明,资源量低(高)的地点通常会出现较大(较小)比例的损失。不过,我们进一步发现,具体的风速分布也很重要,较窄的分布通常会导致更大的损失。这是因为风速分布与涡轮机推力和功率曲线的高灵敏度区域之间存在重叠。大体上,这导致热带地区(经历信风)的尾流引起的损失比中纬度地区大得多。然而,热带地区的风向分布也更窄;我们的结果表明,这使得通过布局优化来减轻尾流效应的潜力更大。最后,我们评估了在高排放情景下气候变化对风资源和尾流损失的预测变化。预计许多地区的环境风资源将减少,此外,这些地区通常会经历更大的尾流损失,从而加剧气候影响。这些结果凸显了与开发全球海上风资源相关的不同挑战和机遇。
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