首页> 外文会议>American Wind Energy Association conference >LONG-TERM OM COSTS OF WIND TURBINES BASED ON FAILURE RATES AND REPAIR COSTS
【24h】

LONG-TERM OM COSTS OF WIND TURBINES BASED ON FAILURE RATES AND REPAIR COSTS

机译:基于故障率和维修成本的风力涡轮机的长期O&M成本

获取原文

摘要

Projections of 20-year operation and maintenance (O&M) costs are presented for typical utility- scale wind turbines that are being currently installed. The costs are governed by a Weibul| statistical model that predicts failure rates of key components over the life of a project. The predictive model is adjusted based on prior field experience with similar components. Projections vary with (a) the robustness of a wind turbine design, (b) the environmental and wind conditions to which wind turbines are subjected, ? the effectiveness of lubrication of mechanical parts, and (d) maintenance practices. A Weibull analysis approach is widely used for similar purposes by NASA, the military and industry. By combining the failure rates with representative repair times and associated costs for parts and labor, unscheduled maintenance costs can be predicted. Scheduled maintenance costs are also included. The key, long-term cost drivers are generally the failure rates and replacement or rebuild costs and expenses of gearboxes, generators and hydraulic systems. Associated expenses typically include those for labor, parts and cranes. The roles of cranes, for both on-shore and off-shore wind power plants, are discussed along with potential estimates of the benefits and savings derived from tower- or nacelle-mounted cranes.
机译:为目前安装的典型实用规模风力涡轮机提供20年运营和维护(O&M)成本的预测。费用由卫星治理预测项目寿命的关键组件失效率的统计模型。基于具有类似组件的先前现场体验调整预测模型。投影随(a)风力涡轮机设计的鲁棒性,(b)风力涡轮机受到的环境和风力条件,?机械零件润滑的有效性,(D)维护实践。威布尔分析方法广泛用于美国宇航局,军事和工业的类似目的。通过将故障率与代表性的修复时间和零件和劳动力相关的相关成本相结合,可以预测未安排的维护成本。还包括预定的维护成本。关键,长期成本驱动因素通常是故障率和更换或重建成本和齿轮箱,发电机和液压系统的费用。相关费用通常包括劳动力,零件和起重机的费用。起重机,用于岸上和离岸风电厂的角色是讨论的,以及潜在的估计来自塔式或机舱的起重机的益处和储蓄。

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