BE A BTU HUNTER: How Big Data Analytics Can Achieve Energy and OM Savings While Improving Productivity, Comfort, and Sustainability at Laboratory Facilities, 8/15/19 at 1pm EST
I2SL High-Tech Talks
Fault detection and root cause analysis of big data provide a strategic approach to energy savings at high-performance healthcare, pharmaceutical, and university laboratory 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 Insidious HVAC faults are often superseded by reactive maintenance.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. The economic impact associated with these issues can be used to quantify building performance improvement potential. BMS data from a 1.2 million square foot healthcare facility will be used to highlight the procedure for fault detection and data analysis. The examples provided will focus on air handlers and laboratory ventilation equipment; however, the techniques involved will be readily applicable to zone devices and plant equipment. This presentation will discuss typical high-value controls, mechanical, and operational faults. Using aggregated facility data, we will explore fault identification, root cause analysis, and issue remediation. The presentation team will then focus on quantifying the energy savings that result from the appropriate corrective actions. Lastly, the team will cover the impact of data quality and reliability on our outcomes. Through the examples provided, this presentation will demonstrate how a methodical approach to BMS analysis, programming, and design can result in high-functioning, energy efficient lab building operation.