Effect of different source terms and inflow direction in atmospheric boundary modeling over the complex terrain site of Perdigão

IF 3.6 Q3 GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY Wind Energy Science Pub Date : 2023-01-13 DOI:10.5194/wes-8-85-2023
K. Venkatraman, Trond-Ola Hågbo, S. Buckingham, Knut Erik Teigen Giljarhus
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引用次数: 1

Abstract

Abstract. Assessing wind conditions in complex terrain requires computational fluid dynamics (CFD) simulations incorporating an accurate parameterization of forest canopy effects and Coriolis effects. This study investigates how incorporating source terms such as the presence of trees and the Coriolis force can improve flow predictions. Furthermore, the study examines the impact of using different sets of atmospheric boundary layer inflow profiles, including idealized profiles with a logarithmic velocity profile, and a set of fully developed profiles from a pressure-driven precursor simulation. A three-dimensional steady Reynolds-averaged Navier–Stokes (RANS) equations model is set up using OpenFOAM to simulate the flow over a complex terrain site comprising two parallel ridges near Perdigão, Portugal. A 7.5 km×7.5 km terrain of the Perdigão site is constructed from elevation data centered around a 100 m met-mast located on the southwest ridge. A 30 min averaged stationary period is simulated, which corresponds to near-neutral conditions at met-mast Tower 20 located at the southwest ridge. The period corresponds to the wind coming from southwest at 231∘ at 100 m height above ground at Tower 20. Five case setups are simulated using a combination of different source terms, turbulence models and inflow profiles. The prediction capability of these models is analyzed for different groups of towers on the southwest ridge and, on the towers further downstream inside the valley, on the northeast ridge. Including a canopy model improves predictions close to the ground for most of the towers on the southwest ridge and inside the valley. Large uncertainties are seen in field measurement data inside the valley, which is a recirculation zone, and large prediction errors are seen in the wind velocity, wind direction and turbulent kinetic profiles for most of the models. The predictions on the northeast ridge are dependent on the extent of recirculation predicted inside the valley. The inflow wind direction plays an important role in wind profile predictions.
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不同源项和入流方向对perdig复杂地形站点大气边界模拟的影响
摘要评估复杂地形中的风况需要计算流体动力学(CFD)模拟,结合森林冠层效应和科里奥利效应的精确参数化。这项研究调查了如何结合源项,如树木的存在和科里奥利力,可以改善流量预测。此外,该研究考察了使用不同的大气边界层流入剖面的影响,包括具有对数速度剖面的理想化剖面,以及来自压力驱动的前兆模拟的一组完全开发的剖面。使用OpenFOAM建立了三维稳态雷诺平均纳维-斯托克斯方程模型,以模拟葡萄牙佩尔迪昂附近由两个平行山脊组成的复杂地形场地上的流动。A 7.5 km×7.5 Perdigão遗址的km地形是根据以100为中心的高程数据构建的 m遇到了位于西南山脊上的桅杆。A 30 模拟了对应于位于西南山脊处的桅杆塔20处的近中性条件的最小平均静止周期。该周期对应于100时231∘来自西南的风 20号楼地面以上m高。使用不同的源项、湍流模型和流入剖面的组合模拟了五种情况设置。分析了这些模型对西南山脊上不同塔组的预测能力,以及对山谷内更下游的塔组和东北山脊上的预测能力。包括雨棚模型可以改善西南山脊和山谷内大多数塔楼的近地预测。山谷是一个再循环区,山谷内的现场测量数据存在较大的不确定性,大多数模型的风速、风向和湍流动力学剖面存在较大的预测误差。对东北山脊的预测取决于山谷内部预测的再循环程度。入流风向在风廓线预测中起着重要作用。
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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
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