Are you looking to move beyond reactive maintenance and save energy by detecting system performance issues in your lab? A new webinar will help you use big data analysis to increase sustainability and comfort in your building. Lisa Zagura and Julianne Rhoads, senior analysts at Cimetrics, will detail a strategic approach to achieve energy savings and to prevent or mitigate large-scale operational issues.
This webinar, the latest in the International Institute for Sustainable Laboratories (I2SL) High-Tech Talks series, will explore fault detection using building management systems data from a 1.2-million-square-foot healthcare facility, quantify the resulting energy savings, and discuss the impact of data quality and reliability on outcomes. The case study will highlight typical high-value controls and demonstrate the benefits of a methodical approach to building management data analysis.
The webinar will take place on Thursday, August 15, 2019, 1:00 to 2:00 p.m. Eastern. Register for the live or recorded version of the webinar below.
If you can’t participate in the live session, you can still register and receive a recording of the webinar afterward.
I2SL members, redeem your free webinar registration by providing your membership username and password. If you have forgotten your username or password, you may reset them using the online form. Please visit the I2SL Member Portal for information about past High-Tech Talks.
Lear more about the webinar
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, we 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.
- Learning Objectives:
Understand how to evaluate big building management data as a tool for identifying faults.
- Understand how control strategy optimization can counter reactive maintenance.
- Identify the economic and environmental benefits of big data analysis.
- Recognize and appreciate high-value data points and reliable data collection.
Continuing Education Credit
Webinar attendees and those who view the recording can earn one Professional Development Hour for professional engineers or one Learning Unit from the American Institute of Architects for registered architects. Email I2SL after completing the webinar if you would like to receive credit for your participation.
Lisa Zagura has over 10 years of engineering experience in building automation and mechanical systems. Her work at Cimetrics involves energy analysis, providing implementation recommendations, and Analytika reporting for over 30 buildings in the healthcare and pharmaceutical industries. Prior to joining Cimetrics, Lisa was the manager of the New England automation design team at Siemens, where she was responsible for managing control system project design. Lisa received her M.S. from Boston University.
Julianne Rhoads joined Cimetrics in 2017 and is responsible for energy analysis and reporting on more than 35 buildings, including over 4 million square feet of facilities in the higher education, healthcare, and pharmaceutical research sectors throughout the United States. She has identified and helped to implement more than $2 million in annual energy savings. Prior to joining Cimetrics, Ms. Rhoads was responsible for designing Energy Performance Contracting projects at Siemens Industry, Inc.