The objective of building the 'Energy Model Analytics' is to gather critical data about a building and to understand how it is currently being ventilated and managed with respect to its HVAC (Heating, Ventilation, and Air Conditioning) function. This data will help us identify potential energy-saving and GHG(Green House Gas) reduction opportunities.

There are two phases of data collection, the first phase will involve the collection of building-specific details to evaluate if the building will be a potential site for energy and GHG reduction. The second phase will be to collect detailed information about the functioning of the HVAC system to calculate the energy savings. The collected data will be used to calculate estimated electrical and thermal savings.

The key metric used to calculate the savings is driven by occupancy data, which is the core of our solution to control the ventilation in a building. The baseline calculation will calculate the current energy usage (electrical and thermal) based on the current operation of the HVAC system.

The student will be taken through an in-depth understanding of how energy calculations are made to determine potential sites where our solution will work. They will work with our energy consultants and software development team to design an application that will simplify energy calculations.

The student will gain extensive knowledge of how a building HVAC system works to ensure occupant comfort and how to use the collected operation data to automatically calculate and project an energy-saving estimate with built-in AI modeling.