Cimetrics Senior Analysts Set to Present at the 2018 I2SL Annual Conference on October 15, 2018.
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In the world of laboratory facilities, efficiency and sustainability are key. On September 12, 2018, Senior Analysts Lisa Zagura and Julianne Rhoads will present a compelling case study at the annual conference, titled "BE A BTU HUNTER: How Big Data Analytics Can Achieve Energy and OM Savings While Improving Productivity, Comfort, and Sustainability at Laboratory Facilities".
Lisa Zagura, with over a decade of experience in building automation and mechanical systems, and Julianne Rhoads, who joined Cimetrics in 2017 and is responsible for energy analysis and reporting on more than 35 buildings, will delve into typical high-value controls, mechanical, and operational faults.
The learning objectives of the presentation include understanding how to evaluate big building management data as a tool for identifying faults, appreciating how control strategy optimization can counter reactive maintenance, recognising the economic and environmental benefits of big data analysis, and appreciating high-value data points and reliable data collection.
Big data analytics enable laboratory facilities to monitor, detect, diagnose, and optimise their complex systems proactively, resulting in energy savings and enhanced operational performance with sustainability benefits. Fault detection and root cause analysis are the analytical engines driving this efficiency by transforming raw operational data into actionable insights.
Through big data analytics, vast amounts of operational data from laboratory systems such as HVAC, lighting, and equipment usage are continuously monitored. Deviations from normal operation that indicate faults or inefficiencies are detected early, preventing energy waste caused by malfunctioning equipment or suboptimal settings. Once a fault is detected, advanced analytics trace back through correlated data to determine the underlying cause, enabling precise corrective actions rather than broad, less efficient fixes.
By identifying faults early and targeting root causes, laboratories reduce unnecessary equipment run time, lower energy consumption, and minimise unplanned downtime, which translates into cost savings. Additionally, analytics ensure systems like HVAC maintain stable conditions tailored for lab work comfort and safety, enhancing productivity while avoiding overconditioning or energy overuse.
Optimising energy use reduces greenhouse gas emissions and environmental impact, contributing to sustainability goals. Furthermore, some facilities incorporate AI-driven control systems that adjust operations in real time based on analytics insights, further enhancing energy efficiency and responsiveness.
Though explicit examples in laboratory-specific contexts from the search results are limited, parallels can be drawn from data center developments applicable to labs. Advanced modeling of thermal loads and power requirements (analogous to lab environmental controls) improves energy efficiency. Fault detection and rapid response capabilities are vital to maintaining system stability and reducing energy waste. Deploying AI and automation to optimise power and cooling systems offers significant performance and energy savings while maintaining operational demands.
The presentation will take place in Session B3: Controls from 2 p.m. - 3:30 p.m. on October 15, 2018. The presentation will quantify the energy savings that result from the appropriate corrective actions. The examples provided will concentrate on air handlers and laboratory ventilation equipment, but the techniques will be applicable to zone devices and plant equipment.
Prior to joining Cimetrics, Julianne Rhoads was responsible for designing Energy Performance Contracting projects at Siemens Industry, Inc. Lisa Zagura, who received her M.S. from Boston University, was the manager of the New England automation design team at Siemens before joining Cimetrics.
The presentation will use BMS data from a 1.2 million square foot healthcare facility as an example to explore fault identification, root cause analysis, and issue remediation using aggregated facility data. Lisa Zagura's work at Cimetrics involves energy analysis, providing implementation recommendations, and Analytika reporting for over 30 buildings in the healthcare and pharmaceutical industries.
The focus of the presentation is on fault detection and root cause analysis of big data in high-performance healthcare, pharmaceutical, and university laboratory buildings. The presentation will cover the impact of data quality and reliability on outcomes.
Join Lisa Zagura and Julianne Rhoads on October 15, 2018, to learn how big data analytics can revolutionise your laboratory facility's energy efficiency, operational performance, and sustainability.
- The use of big data analytics in laboratory facilities, such as that presented by Lisa Zagura and Julianne Rhoads on October 15, 2018, can help achieve energy savings and operational improvements, all while promoting sustainability.
- The presentation, titled "BE A BTU HUNTER", emphasizes the importance of data analytics in the industry, particularly in the field of energy and finance, demonstrating how it can improve productivity, comfort, and sustainability.
- Data-and-cloud-computing technologies, like those used in the analysis of big building management data, are valuable tools for identifying faults, optimizing control strategies, and realizing the economic and environmental benefits of big data analysis.
- In the realm of business, especially in sectors like healthcare, pharmaceuticals, and academia, the application of big data analytics can transform raw operational data into actionable insights, leading to more efficient and sustainable laboratory facilities.
