Healthy Lab Buildings

Dan Diehl, Aircuity, Inc.

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Air quality in labs continuously fluctuates with drastic changes that occur hour to hour, day to day and week to week, influenced by both occupant activity and unplanned environmental factors. Taking a data-driven approach to operating labs allows for careful management of energy savings, a healthier environment for researchers, and faster identification and resolution of issues with mechanical equipment. Real-life examples of indoor environmental quality data captured from multi-parameter demand control ventilation systems will be shared with attendees, along with best practices for using the data.

Learning Objectives

  • Describe the types and frequency of events in the lab;
  • Understand how demand control ventilation to enhance energy efficiency and the health of researchers;
  • Identify best practices for using lab IEQ data; and
  • Understand how to use data for fault detection of mechanical equipment.


Dan Diehl has 30 years of industry expertise across a wide variety of vertical markets and disciplines in commercial and light industrial building markets. Prior to Aircuity, he led business development at Lutron Electronics, was a partner for six years with Synergy and also spent 11 years at Johnson Controls, Inc. Dan earned a BS degree in Mechanical Engineering from the University of Maryland and has an MBA from Villanova University.


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