System And Method To Predict Optimized Energy Consumption
A system receives an energy demand response schedule, one or more user preferences, and one or more predicted environmental variables into a computer processor. The system generates an optimized energy schedule as a function of the demand response schedule, the user preferences, and the predicted environmental variables. The optimized energy schedule includes one or more of a set point temperature variation in one or more zones, an air handling unit set point temperature variation, a chilled water set point temperature variation, a carbon dioxide level set point variation, a pre-cooling time shift, a pre-cooling duration variation, and a load based optimized chiller schedule. The system transmits the optimized energy schedule to a building management server.
Claim CLM-00001. 1. A system comprising:
one or more computer processors configured to:
receive an energy demand response schedule, one or more user preferences, and one or more predicted environmental variables;generate an optimized energy schedule as a function of the demand response schedule, the user preferences, and the predicted environmental variables, the optimized energy schedule comprising one or more of a set point temperature variation in one or more zones, an air handling unit set point temperature variation, a chilled water set point temperature variation, a carbon dioxide level set point variation, a pre-cooling time shift, a pre-cooling duration variation, and a load based optimized chiller schedule;transmit the optimized energy schedule to a building management server; andperiodically generate an optimized energy schedule by adjusting the set point temperature variation in the one or more zones as a function of the rate of change of a temperature of the one or more zones, and by adjusting the carbon dioxide level set point variation as a function of a rate of change of a carbon dioxide level.
Claim CLM-00014. 14. A method comprising:
receiving an energy demand response schedule, one or more user preferences, and one or more predicted environmental variables; generating an optimized energy schedule as a function of the demand response schedule, the user preferences, and the predicted environmental variables, the optimized energy schedule comprising a set point temperature variation in one or more zones, an air handling unit set point temperature variation, a chilled water set point temperature variation, a carbon dioxide level set point variation, a pre-cooling time shift, a pre-cooling duration variation, and a load based optimized chiller schedule; and transmitting the optimized energy schedule to a building management server.
