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Could Crop Height Affect the Wind Resource at Agriculturally Productive Wind Farm Sites?

机译:作物高度会影响农业生产型风电场的风能吗?

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The collocation of cropland and wind turbines in the US Midwest region introduces complex meteorological interactions that could influence both agriculture and wind-power production. Crop management practices may affect the wind resource through alterations of land-surface properties. We use the weather research and forecasting (WRF) model to estimate the impact of crop height variations on the wind resource in the presence of a large turbine array. A hypothetical wind farm consisting of 121 1.8-MW turbines is represented using the WRF model wind-farm parametrization. We represent the impact of selecting soybeans rather than maize by altering the aerodynamic roughness length in a region approximately 65 times larger than that occupied by the turbine array. Roughness lengths of 0.1 and 0.25 m represent the mature soy crop and a mature maize crop, respectively. In all but the most stable atmospheric conditions, statistically significant hub-height wind-speed increases and rotor-layer wind-shear reductions result from switching from maize to soybeans. Based on simulations for the entire month of August 2013, wind-farm energy output increases by 14 %, which would yield a significant monetary gain. Further investigation is required to determine the optimal size, shape, and crop height of the roughness modification to maximize the economic benefit and minimize the cost of such crop-management practices. These considerations must be balanced by other influences on crop choice such as soil requirements and commodity prices.
机译:美国中西部地区农田和风力涡轮机的并置引入了复杂的气象相互作用,这可能会影响农业和风力发电。作物管理实践可能会通过改变地表特性来影响风能资源。我们使用天气研究和预报(WRF)模型来估算在存在大型涡轮机阵列的情况下作物高度变化对风资源的影响。使用WRF模型风场参数化表示由121个1.8兆瓦涡轮机组成的假想风电场。我们通过在比涡轮机阵列所占据的区域大65倍的区域内改变空气动力学粗糙度长度来代表选择大豆而不是玉米的影响。粗糙度长度0.1和0.25 m分别代表成熟的大豆作物和成熟的玉米作物。在除最稳定的大气条件外的所有其他条件下,从玉米转换为大豆,轮毂高度风速在统计上均显着提高,而转子层风切变的降低。根据2013年8月整个月的模拟,风电场的能源产量增加了14%,这将带来可观的货币收益。需要进行进一步的研究以确定粗糙改性的最佳尺寸,形状和作物高度,以使经济收益最大化,并使此类作物管理实践的成本降至最低。这些考虑必须通过对作物选择的其他影响来平衡,例如土壤需求和商品价格。

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