Building Energy and Comfort Optimization

Buildings account for roughly 40% of global energy use, and the tension between keeping occupants comfortable and minimizing that consumption sits at the center of building energy research. Researchers study how heat moves through a building's envelope, how occupants actually behave versus how designers assumed they would, and how shifting climate patterns are quietly eroding the performance of systems that were optimized for yesterday's weather. Tools like energy simulation software, model predictive control, and artificial neural networks let engineers test interventions—better insulation, smarter thermostats, demand-responsive HVAC—before committing to expensive physical changes. Open questions include how to reliably model the messy variability of human behavior at scale, and how to design control systems that remain robust as both occupancy patterns and outdoor conditions grow harder to predict.

Works

148,718

Total citations

1,690,116

Keywords

Building Energy ConsumptionThermal ComfortEnergy SimulationModel Predictive ControlSustainable BuildingsOccupant Behavior