首页> 外文期刊>Renewable energy >Tidal stream turbine power capping in a head-driven tidal channel
【24h】

Tidal stream turbine power capping in a head-driven tidal channel

机译:头部驱动潮汐通道中的潮汐流涡轮机功率上限

获取原文
获取原文并翻译 | 示例
       

摘要

An array of ten 1 MW turbines, with a one diameter inter-turbine spacing, is simulated in a hypothetical tidal channel using the depth-averaged flow solver TELEMAC-2D. It has been shown for idealised turbines that mean power extraction from tidal channels can be enhanced by tuning turbine resistance for a given channel. Blade element momentum theory is used to analyse turbine control strategies such as power capping, which can allow turbine operation to better match the dynamics of the underlying tidal resource. It is shown that choosing control strategies that limit array thrust helps sustain higher channel flow speeds, and hence can lead higher mean power production than other strategies. This has an impact on tidal farm size, where mean turbine power reduces as the number of turbines increases, due to the reducing flow rate in the channel. Adding turbines beyond the channel- and turbine-specific optimal chokes the flow, reducing overall farm power. To limit environmental impact it may be desirable to constrain the maximum flow-rate reduction. Under a 10% flow-rate reduction constraint, the lower thrust per turbine under pitch-to-feather control allows significantly more turbines to be installed and greater farm power than either pitch-to-stall or no power capping strategy. (C) 2019 Elsevier Ltd. All rights reserved.
机译:使用深度平均流量求解器TELEMAC-2D在假设的潮汐通道中模拟了十个1 MW涡轮机的阵列,它们具有一个直径的涡轮机间距。对于理想的涡轮机已经表明,通过调节给定通道的涡轮机阻力,可以提高从潮汐通道提取的功率。叶片要素动量理论用于分析涡轮机控制策略(例如功率上限),该策略可以使涡轮机运行更好地匹配潜在潮汐资源的动态。结果表明,选择限制阵列推力的控制策略有助于维持较高的通道流速,因此比其他策略可导致更高的平均功率产生。这会影响潮汐发电场的规模,由于通道中的流速降低,因此平均涡轮机功率会随着涡轮机数量的增加而降低。在特定于通道和涡轮机的最佳状态之外增加涡轮机会阻塞流量,从而降低总体发电量。为了限制环境影响,可能希望限制最大流速降低。在10%的流量降低约束下,与变桨距或无功率限制策略相比,在变桨至羽状控制下,每台涡轮机的推力较低,因此可安装更多的涡轮机,并提供更大的农用动力。 (C)2019 Elsevier Ltd.保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号