SYSTEM AND METHOD TO PREDICT OPTIMIZED ENERGY CONSUMPTION

• US 20120296480A1
• Filed: 05/17/2011
• Published: 11/22/2012
• 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
• Granted Patent: US 8,880,226 B2
• Time in Patent Office: Days
• 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; and

transmit the optimized energy schedule to a building management server.

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, comprising a computer processor configured to 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 adjusting the carbon dioxide level set point variation as a function of a rate of change of a carbon dioxide level.

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

8. 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.

9. The system of claim 8, 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.

10. The system of claim 8, 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.

11. The system of claim 1, wherein the optimization of the load based chiller is a function of one or more 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.

12. The system of claim 1, wherein the one or more computer processors are configured to generate one or more of 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.

13. 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.

20. 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 system comprising:

one or more computer processors configured to;

(a) generate an optimized air handling unit (AHU) schedule, an optimized chilled water schedule, and an optimized zone set point schedule for a current period by;

receiving a demand response schedule, a normal rate, and a working hour schedule for a facility;

sorting the demand response schedule;

for each peak duration period in the demand response schedule,

when the peak duration period exceeds a peak duration threshold, decrease the zone set point by a zone set point threshold in a most recent prior time slot and decrease the chilled water set point by a chilled water threshold in a most recent prior time period; and

when the peak duration period is less than or equal to the peak duration threshold, increase the zone set point to a maximum set point, and increase the chilled water set point to a difference between a current chilled water temperature and a maximum chilled water set point;

update the optimized air handling unit schedule, the optimized chilled water schedule, and the optimized zone set point schedule based on the current period and the most recent prior time period;

when a low charge rate is within a certain time period of a facility start time and an expected outside air temperature is less than an outside air temperature threshold, pre-cool one or more areas of the facility and delay the chiller start operation by a chiller delay time;

(b) generate an optimized carbon dioxide set point schedule by;

receiving a carbon dioxide set point and a maximum carbon dioxide limit;

determine a number of charge variations greater than a normal charge variation value;

determine an amount of change in a carbon dioxide level for each peak duration period;

for each peak duration period in the demand response schedule, set the carbon dioxide set point for the current period; and

update the optimized carbon dioxide set point schedule based on the current period and the most recent previous time period;

(c) retrieve the optimized AHU set point schedule and the optimized chiller set point schedule;

(d) determine a number of installed chiller units, an individual rating for each chiller unit, and a maintenance schedule for each chiller unit;

(e) for each peak duration period in the demand response schedule;

determine a current AHU set point and a current chilled water set point;

determine a difference between the current AHU set point and a most previous AHU set point;

determine a difference between the current chilled water set point and a most previous chilled water set point;

calculate a chilled water flow rate;

calculate a chiller load;

(f) determine combinations of chiller load that match chiller load demand during a time interval and rank the combinations;

(g) determine a highest ranked combination that is not subject to a current maintenance.

15. The system of claim 14, wherein the peak duration threshold comprises approximately 2 hours.

16. The system of claim 14, wherein the zone set point threshold and the chilled water set point threshold comprise approximately one or two degrees centigrade.

17. The system of claim 14, wherein the certain time period of the facility start time comprises approximately 3 hours and the chiller delay time comprises approximately a difference between an ambient temperature and the chiller set point divided by two.

18. The system of claim 14, wherein the carbon dioxide set point for the current period is determined by adding to the carbon dioxide set point a product of a current position in the demand response schedule and difference between the carbon dioxide upper limit and the SO divided by the number of charge rate variations.

19. 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 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; and

transmitting the optimized energy schedule to a building management server.