Optimal control of HVAC operations based on sensor data

We present a comprehensive approach for leveraging sensor networks in order to improve HVAC (Heating, Ventilation, and Air Conditioning) services in terms of occupants preferences as well as sustainability. A two-step approach is presented with a data-driven model estimation for each HVAC configuration and an optimization step taking into account dynamic trade-offs between changing preferences of occupants and energy usage with possibly time-varying penalty constants. We further enable consideration of potentially available forecasts of relevant variables such as outside temperatures. Application of suggested approach is illustrated based on a case study and benefits as well as limitations are discussed.