Weather response to a large wind turbine array
Weather response to a large wind turbine array
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DOI：
10.5194/acp-10-769-2010
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发表时间：
2010-01
影响因子：
6.3
通讯作者：
D. Barrie;D. Kirk-Davidoff
中科院分区：
文献类型：
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作者：
D. Barrie;D. Kirk-Davidoff
抽象的。风力涡轮机的发电量正在迅速增长，预计到 2030 年将满足世界电力需求的 15%。风电场的广泛安装将改变表面粗糙度，并由于额外的表面粗糙度强迫而显着影响大气环流。通过调整涡轮机叶片相对于风的姿态，可以有意改变这种作用力，从而能够“管理”大量风力涡轮机。使用大气环流模型（GCM），我们将大陆规模的风电场表示为表面粗糙度元素的分布式阵列。在这里，我们表明，由粗糙度阶跃变化引起的初始扰动会在四天半内增长，从而导致流量在天气尺度上发生变化。在大气高度不稳定的地区，诱发扰动的增长率最大。对于北美地区强加的粗糙度变化，引起的扰动涉及北大西洋气旋的轨迹和发展的重大变化，并且扰动的幅度超出了预测的不确定性水平。
Abstract. Electrical generation by wind turbines is increasing rapidly, and has been projected to satisfy 15% of world electric demand by 2030. The extensive installation of wind farms would alter surface roughness and significantly impact the atmospheric circulation due to the additional surface roughness forcing. This forcing could be changed deliberately by adjusting the attitude of the turbine blades with respect to the wind, which would enable the "management" of a large array of wind turbines. Using a General Circulation Model (GCM), we represent a continent-scale wind farm as a distributed array of surface roughness elements. Here we show that initial disturbances caused by a step change in roughness grow within four and a half days such that the flow is altered at synoptic scales. The growth rate of the induced perturbations is largest in regions of high atmospheric instability. For a roughness change imposed over North America, the induced perturbations involve substantial changes in the track and development of cyclones over the North Atlantic, and the magnitude of the perturbations rises above the level of forecast uncertainty.