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Vestas: Turning Climate into Capital with Big Data
Technology Category
- Analytics & Modeling - Big Data Analytics
Applicable Industries
- Renewable Energy
Applicable Functions
- Process Manufacturing
Use Cases
- Outdoor Environmental Monitoring
The Challenge
Making wind a reliable source of energy depends greatly on the placement of the wind turbines used to produce electricity. Turbulence is a significant factor as it strains turbine components, making them more likely to fail. Vestas wanted to pinpoint the optimal location for wind turbines to maximize power generation and reduce energy costs.
The Customer
Vestas Wind Systems
About The Customer
Vestas Wind Systems is the largest manufacturer, seller, installer, and servicer of wind turbines in the world, with more than 17,000 employees globally.
The Solution
IBM InfoSphere BigInsights software running on an IBM System x iDataPlex system serves as the core infrastructure to help Vestas manage and analyze weather and location data in ways that were not previously possible. IBM InfoSphere BigInsights helps Vestas gain access to knowledge in an efficient and fast way and enables Vestas to use this knowledge to turn climate into capital. Software Components - IBM InfoSphere BigInsights software - IBM System x iDataPlex system - Apache Hadoop software
Data Collected
Asset Location, Energy Cost Per Unit, Energy Production, Power Output, Wind Speed
Operational Impact
Quantitative Benefit
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