有效湍流与动态尾流建模方法在负荷预测方面的差异

IF 3.6 Q3 GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY Wind Energy Science Pub Date : 2023-09-28 DOI:10.5194/wes-8-1475-2023
Paula Doubrawa, Kelsey Shaler, Jason Jonkman
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引用次数: 0

摘要

摘要根据风力机设计的国际标准,风力机尾迹对结构载荷的影响可以通过两种方式考虑:(1)通过有效湍流模型(EFF)增加环境湍流水平,然后计算产生的载荷;(2)通过动态尾迹弯曲(DWM)模拟,同时计算风力机所有涡轮机的尾迹效应和载荷。在科学文献中,对于选择一种模型而不是另一种模型的后果,没有明确的答案,但这两种方法无疑是非常不同的。本文阐述了这些差异,并研究了它们对模拟结构荷载的影响程度。我们考虑了一个理想的4×4国家可再生能源实验室5mw风力涡轮机矩形阵列,其转子直径间距为5 × 8,在高环境湍流中有三种风速情景。负载仿真分别在OpenFAST和FAST中进行。使用DWM实现进行Farm。我们比较了两种方法之间的环境湍流、风电场湍流和负载。当全向结果进行比较时,EFF风电场湍流强度始终高于0.2%(高于额定风速)至2.7%(低于额定风速)。然而,对于某些风向,EFF湍流可以低于FAST。农场增长了近9%。由于EFF方法缺乏尾流缺陷,发现电场内的风速相差高达3 m s - 1,导致FAST中较低值的尾翼较长。农场平均负荷分布。与湍流结果一致,中位EFF载荷标准偏差也始终较高,叶根面外力矩和塔基前后力矩分别最高为20%和17%。
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Difference in load predictions obtained with effective turbulence vs. a dynamic wake meandering modeling approach
Abstract. According to the international standard for wind turbine design, the effects of wind turbine wakes on structural loads can be considered in two ways: (1) by augmenting the ambient turbulence levels with the effective turbulence model (EFF) and then calculating the resulting loads and (2) by performing dynamic wake meandering (DWM) simulations, which compute wake effects and loads for all turbines on a farm at once. There is no definitive answer in scientific literature as to the consequences of choosing one model over the other, but the two approaches are unarguably very different. The work presented here expounds on these differences and investigates to what extent they affect the simulated structural loads. We consider an idealized 4×4 rectangular array of National Renewable Energy Laboratory 5 MW wind turbines with a spacing of 5 by 8 rotor diameters and three wind speed scenarios at high ambient turbulence. Load simulations are performed in OpenFAST with EFF and in FAST.Farm with the DWM implementation. We compare ambient turbulence, wind farm turbulence, and loads between both approaches. When omnidirectional results are compared, EFF wind farm turbulence intensity is consistently higher by 0.2 % (above-rated wind speed) to 2.7 % (below-rated wind speed). However, for certain wind directions, the EFF turbulence can be lower than FAST.Farm by almost 9 %. Wind speeds within the farm were found to differ by up to 3 m s−1 due to the lack of wake deficits in the EFF approach, leading to longer tails toward low values in the FAST.Farm mean load distributions. Consistent with the turbulence results, the median EFF load standard deviations are also consistently higher, by a maximum of 20 % and 17 % for blade-root out-of-plane and tower-base fore-aft moments, respectively.
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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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