海上风力发电的未来:唤醒和气候影响

Simon C Warder, Matthew D Piggott
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引用次数: 0

摘要

预计在未来几十年内,海上风能将得到快速部署,以帮助实现气候目标。海上风力涡轮机的寿命为 25-30 年,新的海上租赁期为 60 年,因此在风电场规划阶段考虑潜在风能资源的长期变化至关重要。这种变化可能来自多个方面,包括气候变化和不断增加的尾流引起的功率损失。在这项工作中,我们针对德国港湾内的 21 个风电场进行了案例研究,调查并比较了风能长期变化的这两个来源。与之前的研究一致,我们发现到 21 世纪末,在高排放 RCP8.5 情景下,与历史时期相比,气候变化会导致风能资源小幅但显著地减少,平均功率减少 2.1%(在七个气候模型的组合中)。为了评估日益密集的风电场建设所造成的风浪损失影响,我们使用工程风浪模型,在 2010-2027 年不同(计划)建设阶段下,对德国 Bight 地区的风浪进行了建模。通过识别风电场集群,我们将唤醒效应分解为长程(集群间)、中程(集群内)和短程(场内)效应。在 2010 年的情景中,风场群间的唤醒损失为 0,而在 2027 年的情景中,唤醒损失增加到 2.5%,风场群内的唤醒损失也从 0 增加到 4.3%。农场内部损失相对稳定,约为 13%。因此,虽然唤醒效应的演变超过了气候效应,而且影响的时间尺度较短,但这两个因素都很重要。我们还发现了气候与唤醒效应之间非线性相互作用的证据。因此,在资源评估和风电场规划中,必须同时考虑气候变化和不断演变的尾流效应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The future of offshore wind power production: wake and climate impacts
Rapid deployment of offshore wind is expected within the coming decades to help meet climate goals. With offshore wind turbine lifetimes of 25-30 years, and new offshore leases spanning 60 years, it is vital to consider long-term changes in potential wind power resource at the farm planning stage. Such changes may arise from multiple sources, including climate change, and increasing wake-induced power losses. In this work, we investigate and compare these two sources of long-term change in wind power, for a case study consisting of 21 wind farms within the German Bight. Consistent with previous studies, we find a small but significant reduction in wind resource due to climate change by the end of the 21st century under the high-emission RCP8.5 scenario, compared with a historical period, with a mean power reduction (over an ensemble of seven climate models) of 2.1%. To assess the impact of wake-induced losses due to increasingly dense farm build-out, we model wakes within the German Bight region using an engineering wake model, under various stages of (planned) build-out corresponding to the years 2010-2027. By identifying clusters of wind farms, we decompose wake effects into long-range (inter-cluster), medium-range (intra-cluster) and short-range (intra-farm) effects. Inter-cluster wake-induced losses increase from 0 for the 2010 scenario to 2.5% for the 2027 scenario, with intra-cluster losses also increasing from 0 to 4.3%. Intra-farm losses are relatively constant, at around 13%. While the evolution of wake effects therefore outweighs the climate effect, and impacts over a shorter timescale, both factors are significant. We also find evidence of non-linear interactions between the climate and wake effects. Both climate change and evolving wake effects must therefore be considered within resource assessment and wind farm planning.
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