• Cornell speeds off-hours troubleshooting by 40% and optimizes energy

Real-time operational intelligence provides Cornell University with increased visibility into its water filtration, steam and power generation operations—enabling better, faster decisions.

Rising energy consumption. Higher operational costs.

One of the foremost learning institutions in the world, Cornell University, located in Ithaca, New York, is a city unto itself. With over 34,000 students and staff at peak attendance during the academic year, the school maintains 260 major buildings on 745 contiguous acres.

The campus consumes up to 35MW capability to power the buildings that make up the school. In an effort to conserve electricity and reduce greenhouse gas (GHG) emissions, Cornell sought a visualization and control system to monitor its operations and drive down operational costs.

Proficy enables cost management by providing data to management to make informed decisions. We can also manage demand volatility easier and faster than before. Tim Peer PE, Energy Plant Manager, Cornell University

How did GE’s solution help?

Cornell selected GE Intelligent Platforms' APM Proficy software to monitor and control major aspects of its campus facility operations:

  • Lake source cooling
  • Water filtration
  • Steam and power generation

Data collected via the GE solution enables Cornell to measure effectiveness, and the data can be shared with other applications directly and is exported for statistical analysis. The solution helps control and monitor the pumps, electrical components and pressure sensing; it also drives preventative maintenance actions to avoid reduced flow situations through alarms and warnings on the connected equipment.

Staying ahead into the future

GE Software has enabled Cornell to achieve key benefits, including 40% faster off-hours troubleshooting, increased energy savings, improved reliability and higher equipment uptime.

Moving forward, the university plans to expand its use of the software solution with advanced alarming and analytics to avoid issues before they occur—further increasing asset uptime for optimized performance.