Seminar 23 -- Data-Driven Air Quality Control in Buildings: How Close are We and What do We Still Need?

This product is a zip file that contains files that consist of PowerPoint slides synchronized with the audio-recording of the speaker, PDF files of the slides, and audio only (mp3 format) as noted.

Airborne pollutant sensors are becoming ubiquitous, more reliable and inexpensive. This suggests the possibility of controlling air quality in smart buildings using real time data from these sensors, rather than the prescriptive methods traditionally employed. This seminar looks at the challenges inherent in doing data-driven air quality control in buildings, as well as the state of the art in hardware, integrating platforms, and theory. A wide array of buildings professionals will give different perspectives on
performance of hardware, smart control strategies, retrofitting of existing buildings with control systems and unique applications of low-cost sensors.

• 1. Lessons Learned from Using Indoor Air Quality Sensors in Research Studies
  Woody Delp, Ph.D. and Rengie Chan, Ph.D., Member, Lawrence Berkeley National Laboratory, Berkeley, CA
• 2. Data-Driven Air Purification
  Anthony Abate, AtmosAir Solutions, Fairfield, CT
• 3. Use of IoT Sensing during Extreme Pollution Events Such as Wildfires
  Jovan Pantelic, Ph.D., UC Berkeley, Berkeley, CA
• 4. Retrofitting Buildings with Sensors and Communication Platforms
  Parag Rastogi, Ph.D., Member, arbnco, Glasgow, United Kingdom