Siemens Smart Grid Division and Teradata have announced a global strategic cooperation in the field of big data. Through this collaboration, Siemens Smart Grid further optimises its portfolio of solutions which will provide energy utilities with a much higher level of transparency on the status and activities in their networks. This will enable the customers of Siemens Smart Grid to improve reliability of their infrastructure and to run their grids more efficiently in an increasingly cost-sensitive environment.
Siemens and Teradata will be the first to offer end-to-end integration of operational data with smart meter data for analysis on a single platform, providing an entirely new view on the network. The companies are jointly developing data models - including providing further enhancements to Teradata’s industry leading Utilities Logi-cal Data Model, the fundamental building block for utilities data analytics. The Teradata Utilities Logical Data Model provides the structure and standardisation to address crucial business questions, makes data accessible, enables data to be reused in other applications, and allows fast and accurate communication with customers and regulators.
“Based on the broadest smart grid technology portfolio and our leading position in energy automation and meter data management, we know which data are key to an optimised operation of networks. Combined with Teradata’s expertise in analytic data solutions, we can provide our customers with relevant and valuable information allowing them to make faster and significantly more informed decisions,” said Dr Jan Mrosik, CEO of Siemens’ Smart Grid Division.
Teradata’s Unified Data Architecture (UDA) is a secure and cost-effective framework for smarter data management, processing, and analytics that enables utilities to exploit all their big data – as huge quantities of data are called today. Data of this scale are generated when utilities operate infrastructure, which the Siemens Smart Grid Division has upgraded from traditional networks to smart grids, with enhanced automation, new sensor technology, communication systems, and software applications. A good example is the Smart Meter: 1,000,000 of these devices alone can produce a data volume of up to several petabyte a year. According to IMS Research, today there are 178 million smart meters for energy installed, this number is expected to rise to 343 million by 2016.
While utilities face an increasingly challenging business environment, the emerging IT evolution in the energy sector is proving to be a key competitive solution for utilities. To remain competitive and able to meet ever changing regulatory and economic requirements, utilities have to utilise both technological and commercial data generated at ever shorter intervals to optimise their systems. Only the ability to collect, organise and analyse this volume and variety of high-velocity data in a way relevant and accessible to business will bring real value to utilities.
Utilities can quickly assess costs and time needed to restore power if there is a blackout, and thus proactively provide their customers with better information. Queries about transmission losses relative to manufacturer types, geographical locations, and weather conditions will enable better planning of networks and load flows. Maintenance can be performed based on data about actual wear, rather than on a fixed cycle. Through the implementation of geographical data their workforce can be deployed more efficiently.
“Of course, just collecting and storing data doesn’t drive a cent of value to a utility’s bottom-line or help a utility’s customers understand their energy consumption,” said Hermann Wimmer, President, International, Teradata. “By integrating their data and running their analytics on the Teradata platform, utilities can apply intelligence to networks and use meter, asset and other sources of data to gain operational efficiency, improve service and increase customer satisfaction. That is where the value lies.”