利用准地转海洋环流模式从西部边界流提取海洋能量的数值评估

Omer San
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引用次数: 4

摘要

本文建立了一种单层、准地转大尺度海洋环流模型,用于研究利用海流涡轮机利用的可用海流能势。通过在正压涡度方程中加入参数化瑞利摩擦项来模拟功率抽取。通过在β平面上模拟一组中纬度海洋盆地进行了数值评估,这些盆地是考虑到湍流平衡的年代际变化的更现实的海洋动力学的标准原型。采用三阶Runge-Kutta格式进行时间离散,采用二阶保守Arakawa格式进行空间离散,进行Munk尺度分辨率的高分辨率计算。对各种物理条件下的涡轮参数进行了敏感性分析。结果表明,该模式捕获了准静止海洋动力学,并提供了时间平均的四环流型。经过初始的自旋上升过程,模型在平均最大速度在1.5 ~ 2.5 m/s之间达到统计稳定状态,接近观测到的西边界流最大纬向速度。在很宽的参数范围内,计算了长时间内可用功率的概率密度函数。数值计算结果表明,沿西部边界分布在100公里范围内的风力发电机组平均可提取10吉瓦的电力。然而,更大的涡轮面积会由于过度耗散而改变流型和能量学。涡轮面积的增加导致可用功率的增加,范围从8到22吉瓦,具体取决于涡轮建模参数的值。对所提出的QG模型进行数值评估的第一步表明,目前的框架可以作为评估高湍流状态下能量势的可行工具。
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Numerical assessments of ocean energy extraction from western boundary currents using a quasi-geostrophic ocean circulation model

A single-layer, quasi-geostrophic (QG), large-scale ocean circulation model is developed in this paper to study available ocean current energy potentials harnessed by using the ocean current turbines. Power extraction is modeled by adding a parameterized Rayleigh friction term in the barotropic vorticity equation. Numerical assessments are performed by simulating a set of mid-latitude ocean basins in the beta plane, which are standard prototypes of more realistic ocean dynamics considering inter-decadal variability in turbulent equilibrium. The third-order Runge–Kutta scheme for the temporal discretization and the second-order conservative Arakawa scheme for the spatial discretization are utilized to perform Munk scale resolving high-resolution computations. A sensitivity analysis with respect to the turbine parameters is performed for various physical conditions. Results show that the proposed model captures the quasi-stationary ocean dynamics and provides the four-gyre circulation patterns in time mean. After an initial spin-up process, the proposed model reaches a statistically steady state at an average maximum speed between 1.5 m/s and 2.5 m/s, which is close to the observed maximum zonal velocities in the western boundary currents. The probability density function of the available power over a long time period is computed for a wide range of parameters. Numerical results shows that 10 GW mean power can be extracted from the turbines distributed over a length scale of 100 km along the western boundaries. However, it is demonstrated that bigger turbine areas would alter the flow patterns and energetics due to excessive dissipation. An increase in the turbine area results in an increase in the available power ranging from 8 to 22 GW depending on the values of turbine modeling parameters. This first step in the numerical assessment of the proposed QG model shows that the present framework could represent a viable tool for evaluating energy potentials in a highly turbulent flow regime.

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