Vestas is addressing the issue of turbine placement by using IBM BigInsights software and an IBM "Firestorm" supercomputer to analyze petabytes of structured and unstructured data such as weather reports, tidal phases, geospatial and sensor data, satellite images, deforestation maps, and weather modeling research to pinpoint installation. The analysis, which used to take weeks, can now be done in less than one hour.
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"Vestas turbines operate for decades and clients demand to know how much energy they will produce and what their return on investment will be before they are installed," said Lars Christian Christensen, Vice President of Plant Siting and Forecasting, Vestas Technology R&D. "Using IBM software and systems, we can now answer these questions quickly to identify new markets for wind energy and help our clients meet aggressive renewable energy goals."
In the siting process, once a turbine is operational, Vestas engineers will use the new software and supercomputer to predict its performance, analyze how each blade reacts to weather changes, and determine the best times to schedule maintenance. The company expects to analyze even more diverse and bigger weather data sets reaching 20-plus petabytes over the next four years.
If power companies do not install wind turbines in the right locations, they may not produce enough electricity to justify wind energy investments and keep electricity costs low. Major factors for proper turbine placement include wind turbulence and direction, and space, ecological and aesthetic considerations.
With today’s news, Vestas will tap IBM’s analytics expertise for its Plant Siting & Forecasting Department in Denmark where company engineers design next generation wind technologies for clients. At the department, IBM will provide the company with access to a team of big data analytics project specialists, 24 by 7 technical support, and virtual access to IBM’s big data development lab in Silicon Valley to explore new ways to apply analytics to wind energy.
"Vestas shows how large organizations can tap big data analytics and ever more powerful computers to make smarter business decisions that can substantially accelerate growth while tackling some of the world’s most pressing issues," said Arvind Krishna, General Manager, IBM Information Management. "The ability for our clients to gain insights from any data, regardless of what type it is, how fast it is moving, or where it comes from, has the potential to transform entire industries."
The American Wind Association reports that if the United States can increase its wind energy capacity to 20 percent by 2030, the country can reduce greenhouse gas emissions by 7,600 tons of CO2, reduce water consumption in the electric sector by 4 trillion gallons, and reduce consumer demand for natural gas by 12 percent.
Across Europe, early success stories are generating new demand for technologies that can speed up the delivery and placement of wind farms. The German Association of Energy and Utilities recently reported that the country has set a new record during the first half of 2011 with 20.8 percent of the country’s power production coming from renewable resources like wind. New Zealand adopted an aggressive energy strategy this year that calls for 90 percent of its electricity to be generated by renewable resources such as wind.
IBM InfoSphere BigInsights software is the result of a four year effort of more than 200 IBM Research scientists and is powered by the open source technology, Apache Hadoop. The software provides a framework for large scale parallel processing and scalable storage for terabyte to petabytes-level data plus the ability to enable "what-if" scenarios with its BigSheets component. BigInsights is part of IBM’s Big Data software platform, which includes InfoSphere Streams software that analyzes data coming into an organization and in real time and monitors it for any changes that may signify a new pattern or trend.
Vestas is running BigInsights software on 1,222 connected, workload optimized System x iDataPlex servers that make up Firestorm and are capable of 150 trillion calculations per second — equivalent to 30 million calculations per Danish citizen per second. Firestorm is #53 on the Top500 list of the world’s fastest supercomputers and the third largest commercial system on the list. The new IBM supercomputer replaces an HP system that was less powerful and not as energy efficient.