System and method to predict optimized energy consumption

• US 8,880,226 B2
• Filed: 05/17/2011
• Issued: 11/04/2014
• Est. Priority Date: 05/17/2011
• Status: Active Grant

• Current Assignee: Honeywell International Inc.
• Original Assignee: Honeywell International Inc.
• Inventors: Raman, Thirumal, Venkateswaran, Sundararaman, Muthuraj, Paramesh
• Primary Examiner(s): JARRETT, RYAN A
• Application Number:
  US13/109,459
• Publication Number:
  US 20120296480A1
• Time in Patent Office: 1,267 Days
• Field of Search: None
• US Class Current: 700/277
• CPC Class Codes: F24F 11/46 Improving electric energy efficiency or saving
• CPC Class Codes: G05B 13/026 using a predictor
• CPC Class Codes: G05D 23/1934 each space being provided with one sensor acting on one or more control means

Abstract

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.

Claims

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; and

periodically 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.

2. The system of claim 1, wherein the optimized energy schedule is directed to a particular day, and wherein the optimized demand schedule comprises a peak demand period and a non-peak demand period.

3. The system of claim 1, comprising a computer processor configured to display on an output device the optimized energy schedule and a predicted energy savings resulting from the optimized energy schedule.

4. The system of claim 1, comprising a computer processor configured to permit a user to alter the optimized energy schedule and visualize an energy prediction based upon the alteration before the optimized energy schedule is transmitted to the building management server.

5. The system of claim 4, wherein the optimized energy schedule is altered as a function of one or more operator preferences based on an energy saving requirement and an occupant comfort requirement.

6. The system of claim 1, wherein the energy demand response schedule is received from a third party utility company.

7. The system of claim 1, wherein

the set point temperature variation in the one or more zones comprises adjusting the set point temperature;

the air handling unit set point temperature variation comprises adjusting the air handling unit set point temperature;

the chilled water set point temperature variation comprises raising the chilled water set point temperature; and

the carbon dioxide level set point variation comprises raising the carbon dioxide level set point.

8. The system of claim 7, wherein one or more of the computer processors are configured to alter one or more of the adjusting of the set point temperature, the adjusting of the air handling unit set point temperature, the raising of the chilled water set point temperature, and the raising of the carbon dioxide level set point during a peak demand period.

9. The system of claim 7, wherein the adjusting the set point temperature in the one or more zones comprises increasing or decreasing the set point temperature and the adjusting the air handling unit set point temperature comprises increasing or decreasing the set point temperature.

10. The system of claim 1, wherein the optimization of the load based chiller is a function of a prediction of a load of the chiller based on the air handling unit set point and the chilled water set point, a number of chillers installed and a Tonnes rating (TR) of each installed chiller, a maintenance schedule of each chiller unit, and a maximum runtime for each chiller unit.

11. The system of claim 1, wherein the one or more computer processors are configured to generate an energy report that predicts a usage of energy, an energy report that provides for an optimized usage of energy, and an energy report that shows actual usage of energy.

12. The system of claim 1, wherein the one or more computer processors are configured to communicate with the building management server and to send the optimized energy schedule to the building management server via an intranet or the Internet.

13. The method of claim 1, comprising:

displaying on an output device the optimized energy schedule and a predicted energy savings resulting from the optimized energy schedule; and

altering the optimized energy schedule as a function of one or more operator preferences based on an energy saving requirement and an occupant comfort requirement;

wherein;

the set point temperature variation in the one or more zones comprises adjusting the set point temperature;

the air handling unit set point temperature variation comprises adjusting the air handling unit set point temperature;

the chilled water set point temperature variation comprises raising the chilled water set point temperature; and

the carbon dioxide level set point variation comprises raising the carbon dioxide level set point.

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.