利用大数据将气候转化为资本
公司规模
1,000+
地区
- Europe
国家
- Denmark
产品
- IBM InfoSphere BigInsights Enterprise Edition
- IBM System x iDataPlex dx360 M3
- IBM System Storage DS5300
技术栈
- Big Data
- Data Modeling
- Supercomputing
实施规模
- Enterprise-wide Deployment
影响指标
- Cost Savings
- Customer Satisfaction
- Productivity Improvements
技术
- 分析与建模 - 大数据分析
- 基础设施即服务 (IaaS) - 云计算
适用行业
- 可再生能源
适用功能
- 离散制造
- 产品研发
用例
- 能源管理系统
- 预测性维护
服务
- 云规划/设计/实施服务
- 数据科学服务
关于客户
维斯塔斯是一家丹麦公司，自 1979 年以来一直从事风力发电系统的开发、制造、销售和维护。该公司已在六大洲的 66 个国家安装了 43,000 多台陆基和海上风力涡轮机。如今，维斯塔斯平均每三小时安装一台风力涡轮机，全天 24 小时不间断，其涡轮机每年可产生超过 9000 万兆瓦时的电能，足以为数百万家庭供电。该公司的成功取决于其快速响应和实现商业价值的能力，其中包括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。
挑战
全球最大的风能公司 Vestas 依靠精确安装风力涡轮机来最大程度地提高发电量并降低能源成本。风力涡轮机的最佳安装位置会显著影响其性能和使用寿命。然而，确定涡轮机最佳安装位置的过程非常复杂且耗时，通常需要长达三周的时间。在竞争激烈的行业中，快速响应和交付商业价值至关重要，这种延迟是不可接受的。此外，将涡轮机安装在次优位置的成本可能非常高，可能会导致性能不佳、保修成本增加和客户流失。
解决方案
Vestas 与 IBM 合作实施了大数据解决方案，该解决方案显著缩短了数据处理时间并提高了涡轮机放置决策的准确性。该解决方案将开源 Apache Hadoop 软件与 IBM 的独特技术和功能相结合，使 Vestas 能够处理非常大的数据集。这使 Vestas 能够将其风力数据网格的基本分辨率从 27x27 千米区域降低到 3x3 千米区域，从而更直接地了解潜在位置。该解决方案还包括在 IBM System x iDataPlex 系统上运行的 IBM InfoSphere BigInsights 软件，这使 Vestas 能够将能源消耗降低 40%，同时提高计算能力。该超级计算解决方案是迄今为止世界上最大的解决方案之一，它使 Vestas 能够在系统的 12 个机架中的每个机架中运行两倍数量的服务器，从而减少其数据中心所需的占地面积。
运营影响
数量效益
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