Seasonal variability of wake impacts on US mid-Atlantic offshore wind plant power production

IF 3.6 Q3 GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY Wind Energy Science Pub Date : 2024-03-14 DOI:10.5194/wes-9-555-2024
David Rosencrans, J. Lundquist, M. Optis, Alex Rybchuk, Nicola Bodini, Michael Rossol
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Abstract

Abstract. The mid-Atlantic will experience rapid wind plant development due to its promising wind resource located near large population centers. Wind turbines and wind plants create wakes, or regions of reduced wind speed, that may negatively affect downwind turbines and plants. We evaluate wake variability and annual energy production with the first yearlong modeling assessment using the Weather Research and Forecasting model, deploying 12 MW turbines across the domain at a density of 3.14 MW km−2, matching the planned density of 3 MW km−2. Using a series of simulations with no wind plants, one wind plant, and complete build-out of lease areas, we calculate wake effects and distinguish the effect of wakes generated internally within one plant from those generated externally between plants. We also provide a first step towards uncertainty quantification by testing the amount of added turbulence kinetic energy (TKE) by 0 % and 100 %. We provide a sensitivity analysis by additionally comparing 25 % and 50 % for a short case study period. The strongest wakes, propagating 55 km, occur in summertime stable stratification, just when New England's grid demand peaks in summer. The seasonal variability of wakes in this offshore region is much stronger than the diurnal variability of wakes. Overall, yearlong simulated wake impacts reduce power output by a range between 38.2 % and 34.1 % (for 0 %–100 % added TKE). Internal wakes cause greater yearlong power losses, from 29.2 % to 25.7 %, compared to external wakes, from 14.7 % to 13.4 %. The overall impact is different from the linear sum of internal wakes and external wakes due to non-linear processes. Additional simulations quantify wake uncertainty by modifying the added amount of turbulent kinetic energy from wind turbines, introducing power output variability of 3.8 %. Finally, we compare annual energy production to New England grid demand and find that the lease areas can supply 58.8 % to 61.2 % of annual load. We note that the results of this assessment are not intended to make nor are they suitable to make commercial judgments about specific wind projects.
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尾流对美国大西洋中部近海风力发电厂发电量影响的季节性变化
摘要。由于大西洋中部靠近大型人口中心,风力资源潜力巨大,因此风力发电厂的发展将十分迅速。风力涡轮机和风力发电厂会产生尾流,即风速降低的区域,这可能会对下风向的涡轮机和发电厂产生负面影响。我们利用天气研究和预测模型进行了首次为期一年的建模评估,评估了风浪的变化和年发电量,在整个区域部署了 12 兆瓦的涡轮机,密度为 3.14 兆瓦/平方公里,与计划密度 3 兆瓦/平方公里一致。通过一系列无风力发电厂、一个风力发电厂和租用区完全建成的模拟,我们计算了唤醒效应,并区分了一个发电厂内部产生的唤醒效应和发电厂之间外部产生的唤醒效应。我们还通过测试 0% 和 100% 的新增湍流动能 (TKE) 量,迈出了不确定性量化的第一步。此外,我们还对短案例研究期间的 25% 和 50% 进行了敏感性分析。最强的湍流传播距离为 55 公里,发生在夏季稳定分层时,而此时正是新英格兰夏季电网需求的高峰期。在这一近海区域,湍流的季节变化远大于湍流的昼夜变化。总体而言,全年模拟的唤醒影响会降低 38.2% 到 34.1% 的功率输出(TKE 增加 0% 到 100%)。与外部湍流(从 14.7% 到 13.4%)相比,内部湍流造成的全年功率损失更大,从 29.2% 到 25.7%。由于非线性过程,总体影响不同于内部湍流和外部湍流的线性总和。其他模拟通过修改风力涡轮机的湍流动能附加量来量化唤醒的不确定性,引入了 3.8% 的功率输出变化。最后,我们将年发电量与新英格兰电网需求进行了比较,发现租借区可提供 58.8% 至 61.2% 的年负荷。我们注意到,本评估结果无意也不适合对具体风能项目做出商业判断。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Wind Energy Science
Wind Energy Science GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY-
CiteScore
6.90
自引率
27.50%
发文量
115
审稿时长
28 weeks
期刊最新文献
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