Part 3: Using Data Analytics to Support the Design Build Construction Process for Labs

Chris Abbamonto, Siemens Industry, Inc.

Before the design build team was chosen, Facilities Management was already working on selecting a commissioning agent for the project. This session will cover how the systems were tested and tuned and how proper operation would be maintained. The three keys successfully delivering the project would be demonstrating the system could perform over the range of operating characteristics it is designed for, optimizing the system set points based on actual field conditions, and providing automated fault detection specific to this lab building.

Altura Associates utilizes an automated fault detection package to capture the data of meters, air handlers, exhaust fans, field controllers, and the lighting system. Rules or algorithms are written to run against the data collected to ensure proper operation. Although collecting the data and fault detection is quickly becoming industry standard, how specific the faults detected are to each building is the greatest opportunity for missed savings and improper operation.

Additionally, the use of the Fault Detection and Diagnostics platform enabled a unique approach to commissioning this phase implementation project, whereby zone level work was completed well before the central systems were upgraded. Unlike a traditional approach which would have delayed any field testing until the end of the project, early fault detection from the analytics platform enabled a smoother handoff to operations leading up to the central systems upgrade and commissioning.

Attendees will learn about understanding the design intent and working with the engineers and controls contractors so that specific rules/algorithms can be implemented. The process of using software for automated testing of the zones, enabling 100% zone equipment testing will also be presented. Finally, we will explain how the system was tuned to maximize energy savings.

Safety is also a key metric of a successful project. The automated fault detection system can monitor for and report on events happening in the building that could be EH&S issues. We will explain how we are monitoring room pressurization, demand controlled ventilation, and fume hood operation.

To conclude the team will show the energy savings from the project, presenting pre-and-post utility use. We will share a few quick lessons learned, and how Facilities is modifying the scope on two similar projects happening in 2017.

Learning Objectives

  • Describe what data analytics platforms are and their potential value to commissioning of laboratory construction projects.
  • Identify key challenges and solutions to integrating data analytics platforms into construction projects.
  • Describe how data analytics can support a safer and more effective process of commissioning phased implementation projects that turn labs over quickly to the occupants before full system commissioning can be completed.
  • Describe automated testing using data analytics in the commissioning process and how this improves the overall commissioning outcomes.

Biographies:

Biography coming soon.

 

Note: I2SL did not edit or revise abstract or biography text. Abstracts and biographies are displayed as submitted by the author(s).