首页> 外文会议>Deep Sea Offshore Wind RD Conference >A parametric investigation into the effect of low induction rotor (LIR) wind turbines on the levelised cost of electricity for a 1 GW offshore wind farm in a North Sea wind climate
【24h】

A parametric investigation into the effect of low induction rotor (LIR) wind turbines on the levelised cost of electricity for a 1 GW offshore wind farm in a North Sea wind climate

机译:参数调查低感应转子(LIR)风力涡轮机对北海风气候1 GW海上风电场电力调用成本的影响

获取原文

摘要

In this report, the details of an investigation into the effect of low induction rotor (LIR) wind turbines on the Levelised Cost of Electricity (LCoE) in a 1GW offshore wind farm is outlined. The 10 MW INNWIND.EU conventional wind turbine and its low induction variant, the 10 MW AVATAR wind turbine, are considered in a variety of 10x10 layout configurations. The Annual Energy Production (AEP) and cost of electrical infrastructure were determined using two in-house ECN software tools, namely Farm Flow and EEFarm II. Combining this information with a generalised cost model, the LCoE from these layouts were determined. The optimum LCoE for the AVATAR wind farm was determined to be 92.15 ?/MWh while for the INNWIND.EU wind farm it was 93.85 ?/MWh. Although the low induction wind farm offered a marginally lower LCoE, it should not be considered as definitive due to simple nature of the cost model used. The results do indicate that the AVATAR wind farms require less space to achieve this similar cost performace, with a higher optimal wind farm power density (WFPD) of 3.7 MW/km~2 compared to 3 MW/km~2 for the INNWIND.EU based wind farm.
机译:在本报告中,概述了对低感应转子(LIR)风力涡轮机对1GW海上风电场中电力(LIR)电力(LIR)电机的效果的影响的细节。 10 MW Innwind.eu传统的风力涡轮机及其低感应变型,10 MW头像风力涡轮机,各种10×10布局配置。使用两个内部ECN软件工具,即农场流量和EEFARM II确定了每年能源生产(AEP)和电气基础设施成本。将此信息与广义成本模型相结合,确定来自这些布局的LCoE。 Avatar风电场的最佳Lcoe被确定为92.15?/ MWh,而Innwind.eu风电场是93.85?/ mwh。虽然低感应风电场提供了较低的LCoE,但由于所使用的成本模型的简单性质,它不应被视为最终。结果表明,化身风电场需要更少的空间来实现这种类似的成本性能,具有3.7 mw / km〜2的最佳风电场功率密度(WFPD)与Innwind.eu的3 MW / Km〜2相比基于风电场。

著录项

相似文献

  • 外文文献
  • 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