This research seeks to optimize the energy efficiency of buildings on Pitt's campus by using sensors to collect data on how occupants interact with buildings and using said data to identify opportunities for reducing lighting and/or HVAC use.
Research Methodology
Sensors will be created and installed in campus buildings so that data on occupancy, environmental conditions, and occupant comfort preferences can be collected and analyzed. This analysis will provide actionable insights about real-time HVAC and light usage, which can then be used to develop interventions that encourage energy-saving practices.
Research Outcomes
This research will produce comprehensive datasets on building usage and occupant behavior, tools for scalable human-building data collection and analysis, and actionable, occupant-informed strategies for enhancing energy savings and sustainability improvements in campus buildings.
Research Goals
This research seeks to enhance the energy efficiency of and reduce the greenhouse gas emissions associated with buildings on Pitt's campus. This will be accomplished by developing new sensing and data science techniques which emphasize human-in-the-loop approaches to identify energy efficiency enhancement opportunities in existing buildings.