Dan Loewen



Title: Improving building health and efficiency with data driven solutions
Date: Friday, May 21, 2021
Time: 10:30 am to 11:10 am 

Abstract: Commercial buildings contribute to approximately one third of the global greenhouse gas (GHG) emissions. Older buildings contribute a disproportionately greater percentage of GHG emissions and consume more energy than newer buildings, many of which are expected to have an occupancy lifespan of at least 50 years. Buildings old and new traditionally lack data (ex. temperature, relative humidity, pressure), and the collection of relevant data is a historically time consuming, manual process. ioAirFlow is automating high resolution building data collection, analysis, and reporting so that building operators and owners can make informed decisions about how to optimize their building’s efficiency, improve occupant well being, identify problems, and prioritize retrofits. This presentation will elaborate on the problem and describe how accurate data can contribute to the solution. It will discuss current and potential measurable variables, and the role that multivariate data analysis plays in the future of healthy and efficient buildings, concluding with practical applications. 

Dan completed a Master’s of Applied Science in Mechanical and Mechatronics Engineering at the University of Waterloo with a focus on product design, simulation, and experimentation. He has designed, managed, and supported HVAC products from conception to market release and beyond for over four years, as well led a team of designers focused on product efficiency and sustainability. Dan is a professional engineer registered with EGM since 2016.