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Spatiotemporal distribution of nitrogen dioxide within and around a large-scale wind farm a?? a numerical case study

机译:大型风电场内部和周围的二氧化氮的时空分布数值案例研究

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pstrongAbstract./strong As a renewable and clean energy source, wind power has become the most rapidly growing energy resource worldwide in the past decades. Wind power has been thought not to exert any negative impacts on the environment. However, since a wind farm can alter the local meteorological conditions and increase the surface roughness lengths, it may affect air pollutants passing through and over the wind farm after released from their sources and delivered to the wind farm. In the present study, we simulated the nitrogen dioxide (NOsub2/sub) air concentration within and around the world's largest wind farm (Jiuquan wind farm in Gansu Province, China) using a coupled meteorology and atmospheric chemistry model WRF-Chem. The results revealed an qedge effect/q, which featured higher NOsub2/sub levels at the immediate upwind and border region of the wind farm and lower NOsub2/sub concentration within the wind farm and the immediate downwind transition area of the wind farm. A surface roughness length scheme and a wind turbine drag force scheme were employed to parameterize the wind farm in this model investigation. Modeling results show that both parameterization schemes yield higher concentration in the immediate upstream of the wind farm and lower concentration within the wind farm compared to the case without the wind farm. We infer this edge effect and the spatial distribution of air pollutants to be the result of the internal boundary layer induced by the changes in wind speed and turbulence intensity driven by the rotation of the wind turbine rotor blades and the enhancement of surface roughness length over the wind farm. The step change in the roughness length from the smooth to rough surfaces (overshooting) in the upstream of the wind farm decelerates the atmospheric transport of air pollutants, leading to their accumulation. The rough to the smooth surface (undershooting) in the downstream of the wind farm accelerates the atmospheric transport of air pollutants, resulting in lower concentration level./p.
机译:> >摘要。作为可再生和清洁能源,风能已成为过去几十年来全球增长最快的能源。人们认为风能不会对环境产生任何负面影响。但是,由于风电场可以改变当地的气象条件并增加表面粗糙度,因此它可能会影响从源中释放出来并输送到风场的空气污染物。在本研究中,我们使用气象和大气化学模型WRF联合模拟了世界上最大的风电场(中国甘肃省酒泉风电场)之内和周围的二氧化氮(NO 2 )空气浓度-化学结果显示了边缘效应,其特征在于风电场紧邻上风和边界区域的NO 2 水平较高,NO 2 浓度较低在风电场及其附近的顺风过渡区域内。在此模型研究中,采用了表面粗糙度长度方案和风力涡轮机阻力方案来对风电场进行参数化。建模结果表明,与没有风电场的情况相比,两种参数化方案都在风电场的紧邻上游产生较高的集中度,而在风电场内部产生较低的集中度。我们推断出这种边缘效应和空气污染物的空间分布是内部边界层的结果,内部边界层是由风力涡轮机转子叶片旋转驱动的风速和湍流强度的变化以及整个表面的粗糙度增加所引起的。风电场。风电场上游的粗糙度长度从光滑表面到粗糙表面的阶跃变化(过冲)会降低空气污染物在大气中的传播速度,并导致其累积。风电场下游的粗糙表面到光滑表面(下冲)会加速空气污染物在大气中的传播,从而降低浓度水平。

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