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EOS analyses all the data to determine what equipment set-point changes would ensure optimal current conditions in the building at minimum energy consumption.
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Airports consume a vast amount of energy, operating 24/7. The energy consumption is distributed among the terminals occupied by the patrons, the cargo bays housing packages and luggage on their way to final destinations, and the energy required to power the docked planes once they arrive at the gate. All this energy is essential to support the transportation services provided by the airport. It is a very dynamic environment that lends itself well to autonomous optimization of energy costs through software.
Primary airport utilities are natural gas and electricity, but this often gets converted into secondary services of chilled water and hot water to service the various spaces. This creates an opportunity to balance the comfort requirements of the space using the various utility services (electricity, natural gas, chilled water, hydronic heating water), the costs of the various utilities, the variable schedule of arriving and departing flights, and the ambient weather conditions. Since airports are expansive and built horizontally, there is typically a larger, more disparate mix of mechanical equipment to manage. This presents a challenging problem for any human operator to try and manage the utility cost in real-time.
EOS analyses all the data to determine what equipment set-point changes would ensure optimal current conditions in the building at minimum energy consumption. EOS also looks ahead and determines the most energy efficient way to manage the building from day-to-day, season-to-season, and space-to-space. Then as often as every five minutes EOS makes changes to set-points in the BAS to ensure occupant comfort at minimum energy cost.