How to control IAQ using Artificial Intelligence

How do we control a building’s indoor air quality (IAQ) using artificial intelligence?

With the advancements in technology in machine learning and artificial intelligence, our buildings are becoming smarter and able to start reacting to scenarios before they happen. With today’s technology, we are proactive in our approach to indoor air quality by installing sensors within a space and measuring a building’s IAQ parameters such as temperature, relative humidity, Volatile Organic Compounds, and particulate levels to determine how clean a building’s IAQ is. This approach is very reactive as we measure evaluate and then react by turning HVAC equipment on or off as determined by our IAQ sensors.

With the advent of Artificial Intelligence and Machine Learning, we will now be able to create building HVAC systems with the ability to learn a building’s habits and create algorithms based on a building’s occupancies and activities.  This is a major advancement in IAQ technology as we are now able to be proactive in our IAQ solutions versus being reactive as we previously were.

By becoming proactive we will be able to achieve cleaner safer air at a lower cost by predicting when the IAQ will deteriorate and adjusting our HVAC equipment to match our IAQ requirements. This paradigm shift in IAQ strategy will not only create a safer environment but will also save energy and reduce a building’s carbon footprint by not reducing our HVAC equipment’s capacity when not required.

The energy savings will also help provide funds to help finance any capital expenditures associated with the installation of IAQ-ML equipment.

As technology advances our buildings will become smarter and smarter and will continuously learn to create safe indoor air conditions.

Atlabach Consulting is a world leader in providing Computational Fluid Dynamic Modelling of virus transmissions within a building along with Probability of Infection Analysis to fully understand the health and safety of your occupants currently and afterward. www.atlabach.com