City-Wide Building Data Analytics: Energy and Air Quality
This project has demonstrated the "City-Wide Building Data Analytics" platform at five City of Pittsburgh buildings to help reduce building energy consumption while ensuring better air quality for building occupants. The platform supports data driven policy-making, building portfolio energy and indoor environmental quality (IEQ) optimization, and building occupants’ engagement in energy conservation. The team has deployed Speck air quality sensors in five City buildings, has collected data, and provided a dashboard for decision makers to use in assessing their building energy use and air quality.
STATUS: The team has launched a public website where citizens can see the research first-hand.
City of Pittsburgh – Office of Sustainability
Azizan Aziz (PI)
Assistant Research Professor, School of Architecture, Carnegie Mellon University
Research Scientist, School of Architecture, Carnegie Mellon University
Mary Beatrice Dias (Co-PI)
Project Director, Robotics Institute, Carnegie Mellon University
Professor, Robotics Institute, Carnegie Mellon University