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    陈曦, 高永, 娜仁格日勒, 翟波, 王余彦, 史万林. 风场及光伏电场配置对阵列风沙结构影响的模拟分析[J]. 北京林业大学学报, 2017, 39(8): 68-76. DOI: 10.13332/j.1000-1522.20170137
    引用本文: 陈曦, 高永, 娜仁格日勒, 翟波, 王余彦, 史万林. 风场及光伏电场配置对阵列风沙结构影响的模拟分析[J]. 北京林业大学学报, 2017, 39(8): 68-76. DOI: 10.13332/j.1000-1522.20170137
    CHEN Xi, GAO Yong, NARENGERILE, ZHAI Bo, WANG Yu-yan, SHI Wan-lin. Simulation analysis of effects of wind field and photovoltaic DC field allocation on aeolian-sand structure[J]. Journal of Beijing Forestry University, 2017, 39(8): 68-76. DOI: 10.13332/j.1000-1522.20170137
    Citation: CHEN Xi, GAO Yong, NARENGERILE, ZHAI Bo, WANG Yu-yan, SHI Wan-lin. Simulation analysis of effects of wind field and photovoltaic DC field allocation on aeolian-sand structure[J]. Journal of Beijing Forestry University, 2017, 39(8): 68-76. DOI: 10.13332/j.1000-1522.20170137

    风场及光伏电场配置对阵列风沙结构影响的模拟分析

    Simulation analysis of effects of wind field and photovoltaic DC field allocation on aeolian-sand structure

    • 摘要: 以对比分析不同风场及电站配置模式下光伏阵列对风沙输移的影响差异为研究目的,通过风洞模拟实验对不同风速、风向、电站阵列行距及是否布设麦草沙障时阵列在0~50 cm内的输沙情况进行分析,并对风沙流结构进行了探讨。结果表明:1)在0~50 cm高度范围内,阵列模型的输沙率与风速大小呈正比,与集沙高度呈反比,3个试验风速下输沙率均以多项式拟合关系最佳;2)当风向为南风时阵列输沙率及其风沙流结构特征值(λ)最高,南风(180°)、东北风(45°)、西北风(315°)的输沙最佳拟合函数分别为多项式函数、对数函数和指数函数;3)当阵列行距为20 cm时(以野外电场为原型等比例缩小值)阵列输沙率最高;4)当阵列前端布设麦草沙障后阵列风沙流结构特征值(λ)为1.75,即此时风沙流呈不饱和状态,具有挟沙能力。

       

      Abstract: The sand transport and aeolian-sand structure of the array in 0-50 cm with different wind speeds, wind direction, power station array spacing, and whether or not there are the wheat straw sand barrier were analyzed by wind tunnel simulation, which aimed to investigate the effect of photovoltaic array on drifting sand with different allocation of wind field and photovoltaic DC field. The results showed that: 1) the sand transport rate of the array was proportional to the wind speed, and inversely proportional to the sand collection height in 0-50 cm. And the polynomial simulation of the sand transport rate under 3 kinds of wind speed was optimal. 2) The sand transport rate of the array and its characteristic value (λ) of aeolian-sand flow were the highest when the wind was south. And the best simulation of the south wind (180°), northeast wind (45°) and northwest wind (315°) were polynomial, logarithmic and exponential function, respectively. 3)The sand transport rate of the array in 20 cm (reduced in equal proportion to electric field) was the highest. 4) The characteristic value of aeolian-sand flow structure was 1.75 when the wheat straw sand barrier was laid at the front of the array, indicating unsaturated status and sand carrying capacity of aeolian-sand flow at this time.

       

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