AMI Intelligence Connected Building Energy Modeling

VEIC proposes to demonstrate a building simulation modeling tool that links backwards looking data intelligence with forward projecting OpenStudio model simulations. The tool would use Advanced Metering Infrastructure (AMI) data and regression methods to identify customer specifics about when and how they use their facility and then populate the what-if scenario building energy modeling simulations with those insights. Output would not only be efficiency measure suggestions, but also energy savings customized to the customer's specific building situation and build through energy modeling. VEIC plans to demonstrate this technology on schools, retail pharmacies, and non-hospital health facilities. Despite the focus on schools, retail pharmacies, and non-hospital health facilities, the tool could be applicable to many common building types. The tools will rely on a small and simple subset of building specific information as being provided by the user, as well as providing an AMI data file. The details are expected to include size, age, location, function, and some HVAC particulars. The interface will then use these inputs to enter into the automation portion of the workflow where additional site specifics are inferred from regression analytics performed on the AMI meter.   The efficiencies identified by this automated energy analyst are expected to be in the range of 5 kBtu/sqft/year which may provide a range of 5-20% overall improvement, depending upon the specific customer.