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Siemens Wind Power
技术
- 分析与建模 - 预测分析
适用行业
- 可再生能源
适用功能
- 商业运营
用例
- 机器状态监测
挑战
风能提供清洁的可再生能源。核心概念很简单：风力涡轮机旋转叶片来发电。然而，今天的系统绝非简单。现代风力涡轮机的叶片可以扫过 120 米的圆周，成本超过 100 万美元，并产生数兆瓦的电力。每个涡轮机可能包括多达 1,000 个传感器和执行器——集成应变计、轴承监视器和功率调节技术。涡轮机可以通过改变叶片间距和功率提取来控制叶片速度和发电量。控制涡轮机是一项复杂的工作，需要许多协作处理器关闭高速回路并实施智能监控和优化算法。但真正的挑战是整合这些涡轮机，以便它们一起工作。一个风电场可能包括数百个涡轮机。它们通常安装在海上难以进入的位置。农场必须实施一个从根本上真正的分布式控制系统。像所有电力系统一样，农场的目标是使发电量与负荷相匹配。拥有数百台涡轮机的农场必须通过平衡广泛地域的负载和发电来优化该负载。当然，风是动态的。几乎每一张风电场的照片都显示出平静的海面和落日。但是，当暴风雨席卷风电场时，事情就会变得充满挑战。在暴风雨中，控制系统必须决定如何从阵风中获取能量以产生恒定的电力。它必须智能地平衡许多涡轮机的负载。一个关键的考虑因素是对价值 5 亿美元的已安装资产的负载和潜在损坏。这不是一个缓慢或不可靠的控制系统的环境。可靠性和性能至关重要。
客户
西门子风电
关于客户
西门子风电
解决方案
西门子风电是世界上最大的风力涡轮机制造商之一。 Siemens Wind Power 决定使用由 RTI Connext® DDS 提供支持的基于工业互联网的解决方案来集成其系统。带有 Connext DDS 的工业互联网可实现涡轮机内的快速控制、跨阵列的分布式阵风缓解以及集成回控制中心以进行预测性维护和业务诊断。借助 Connext DDS，西门子风电场是一台智能的分布式机器。它优化功率，监控自身的健康状况并对环境做出反应。带有 DDS 的工业互联网提供了涡轮机内的快速通信和控制、整个风电场的分布式阵风缓解，以及与后端控制中心的通信和集成，以进行预测性维护和业务诊断。
收集的数据
Asset Performance, Asset Status Tracking, Energy Production, Power Output, Wind Speed
运营影响
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