ISyE Solves Big Data Energy Problems
Nagi Gebraeel, Georgia Power Associate Professor and Associate Director of the Strategic Energy Institute, is working on two projects that represent the spectrum of optimization and Big Data problems within the energy industry. The first, funded by General Electric (GE), looks at sensor data from gas turbines that power electricity generators. The turbines are large and quite expensive to both manufacture and maintain, so they are equipped with thousands of sensors constantly measuring whether the turbines are functioning within normal operation parameters by monitoring temperatures, pressures, and vibrations from different sections of the turbines in a process known as condition monitoring. Immense amounts of data are sent to Atlanta, Georgia, where GE’s monitoring and diagnostic center is located. Gebraeel’s research team and collaborators include Shabbir Ahmed, ISyE Dean’s Professor and Stewart Faculty Fellow; Kamran Paynabar, ISyE Assistant Professor; Andy Sun, ISyE Assistant Professor; Edmond Chow, CSE Associate Professor and Director of the Intel Parallel Computing Center in the College of Computing; and Polo Chou, CSE Assistant Professor and Associate Director of the M.S. in Analytics program. In response to the Big Data problem, they are developing a new computational platform to provide detection and predictive analytics for the energy industry. This platform assesses the health and performance of equipment in real-time and monitors trends to determine such things as:
- When to order new spare parts so they don’t linger in inventory, costing money and possibly becoming obsolete.
- Prescribing operational profiles that extend an asset’s life without increasing risk of failure.
- Workflow Status: Published
- Created By: Shelley Wunder-Smith
- Created: 12/19/2016
- Modified By: Shelley Wunder-Smith
- Modified: 12/19/2016
nagi gebraeel , energy , big data , sustainability , electricity , isye