IBM > 实例探究 > 维斯塔斯:利用大数据将气候转化为资本

维斯塔斯:利用大数据将气候转化为资本

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 Vestas: Turning Climate into Capital with Big Data - IoT ONE Case Study
技术
  • 分析与建模 - 大数据分析
适用行业
  • 可再生能源
适用功能
  • 流程制造
用例
  • 室外环境监测
客户
维斯塔斯风力系统
关于客户
Vestas Wind Systems 是全球最大的风力涡轮机制造商、销售商、安装商和服务商,在全球拥有 17,000 多名员工。
挑战

使风能成为可靠的能源在很大程度上取决于用于发电的风力涡轮机的位置。湍流是一个重要因素,因为它会拉紧涡轮部件,使它们更有可能发生故障。维斯塔斯希望确定风力涡轮机的最佳位置,以最大限度地提高发电量并降低能源成本。

解决方案

在 IBM System x iDataPlex 系统上运行的 IBM InfoSphere BigInsights 软件充当核心基础架构,帮助 Vestas 以前所未有的方式管理和分析天气和位置数据。 IBM InfoSphere BigInsights 帮助 Vestas 以高效、快速的方式获取知识,并使 Vestas 能够利用这些知识将气候转化为资本。软件组件 - IBM InfoSphere BigInsights 软件 - IBM System x iDataPlex 系统 - Apache Hadoop 软件

收集的数据
Asset Location, Energy Cost Per Unit, Energy Production, Power Output, Wind Speed
运营影响
  • [Data Management - Data Processing]
    Processing huge volumes of climate data and the ability to gain insight from that data enables Vestas to forecast optimal turbine placement in 15 minutes instead of three weeks.
  • [Efficiency Improvement - R&D]
    Ongoing application development and improvements are relatively quick and inexpensive to implement due to the system's flexibility.
  • [Efficiency Improvement - R&D]
    Response time for wind forecasting information was reduced by approximately 97% which helped cut development time.
数量效益
  • Vestas reduces the base resolution of its wind data grids from a 27x27 kilometer area down to a 3x3 kilometer area, a nearly 90% reduction.

  • The IBM System x iDataPlex supercomputer enables the company to use 40% less energy while increasing computational power.

  • Implementing a big data solution enables Vestas to create a wind library to hold 18 to 24 petabytes of weather and turbine data and reduce the geographic grid area by 90% to increased accuracy.

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