Here is a video of a webinar hosted by AEE Greater Philadelphia Chapter and presented by Cimetrics, Inc.
TURN YOUR DATA INTO A CRYSTAL BALL: How Big Data
Analytics can Target Energy Savings Opportunities as well
as Predict Impending System Failures to Achieve Improved
Energy Efficiency, Comfort and Sustainability.
Fault detection and root cause analysis using big data provides a strategic approach to energy savings in high-performance buildings. Insidious HVAC faults are often superseded by reactive maintenance. By analyzing building data, large scale operational issues can be mitigated and persistent alarms can be minimized. Furthermore, predictive fault detection algorithms identify potential faults and equipment failures before they occur, allowing for predictive rather than reactive maintenance.
At this event we will talk about using analytics in predictive maintenance programs:
- Understand how to evaluate building management data as a tool for identifying faults.
- Understand how predictive maintenance can be used to offset reactive maintenance.
- Identify the economic and environmental benefits of big data analysis.
- Recognize and appreciate high-value data points and reliable data collection.
Julianne Rhoads, CEM
Julianne is responsible for energy analysis and reporting on over 35 buildings, including 5 million square feet of facilities. Ms. Rhoads has identified and helped implement over $4.5 million in annual energy savings. Prior to joining Cimetrics, Ms. Rhoads was responsible for designing Energy Performance Contracting projects at Siemens Industry, Inc. as an Energy Engineer. She presented at the I2SL Annual Conference in 2018 & 2019, and AEE World Energy Conference in 2019.
Contact us to learn how Analytika for Buildings can help eliminate
roadblocks to comfortable and efficient facilities and empower you to capture better value and performance from your building