SYSTEMS AND METHODS FOR CONTROLLING ENERGY USE DURING A DEMAND LIMITING PERIOD

• US 20150045962A1
• Filed: 09/22/2014
• Published: 02/12/2015
• Est. Priority Date: 09/30/2011
• Status: Active Grant

• Current Assignee: Johnson Controls Technology Company (Johnson Controls International plc)
• Original Assignee: Johnson Controls Technology Company (Johnson Controls International plc)
• Inventors: Wenzel, Michael J., Drees, Kirk H.
• Granted Patent: US 9,322,566 B2
• Time in Patent Office: Days
• US Class Current: 700/276
• CPC Class Codes: F24F 11/30 for purposes related to the operation of the system, e.g. for safety or monitoring
• CPC Class Codes: F24F 11/38 Failure diagnosis
• CPC Class Codes: F24F 11/46 Improving electric energy efficiency or saving
• CPC Class Codes: F24F 11/47 Responding to energy costs
• CPC Class Codes: F24F 11/58 using Internet communication
• CPC Class Codes: F24F 11/62 characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
• CPC Class Codes: F24F 11/63 Electronic processing
• CPC Class Codes: F24F 2120/00 Control inputs relating to users or occupants
• CPC Class Codes: G05B 13/021 in which a variable is automatically adjusted to optimise the performance
• CPC Class Codes: G05B 15/02 electric
• CPC Class Codes: G05B 2219/2642 Domotique, domestic, home control, automation, smart house
• CPC Class Codes: G05D 23/1923 using thermal energy, the cost of which varies in function of time
• CPC Class Codes: G05F 1/66 Regulating electric power
• CPC Class Codes: G06F 1/3203 Power management, i.e. event-based initiation of a power-saving mode
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• CPC Class Codes: G06Q 30/0202 Market predictions or forecasting for commercial activities
• CPC Class Codes: G06Q 30/0206 Price or cost determination based on market factors
• CPC Class Codes: H04L 12/14 Charging , metering or billing arrangements for data wireline or wireless communications
• CPC Class Codes: H04L 12/2803 Home automation networks
• CPC Class Codes: Y02P 90/84 Greenhouse gas [GHG] management systems
• CPC Class Codes: Y02P 90/845 : Inventory and reporting systems for greenhouse gases [GHG]

Abstract

Systems and methods for limiting power consumption by a heating, ventilation, and air conditioning (HVAC) subsystem of a building are shown and described. A feedback controller is used to generate a manipulated variable based on an energy use setpoint and a measured energy use. The manipulated variable may be used for adjusting the operation of an HVAC device.

Claims

1. A feedback controller for controlling power consumption by an HVAC system of a building during a demand limiting period, the controller comprising:

a processing circuit configured to generate a value of a manipulated variable for adjusting the operation of an HVAC device, wherein the processing circuit comprises;

an error analyzer configured to receive an energy use setpoint as a reference input and to receive a measured energy use as a measured input, wherein the error analyzer is further configured to compare the reference input and the measured input, and to use the comparison to determine an error value;

an error corrector configured to receive the error value and to use the error value to generate the value of the manipulated variable during the demand limiting period; and

an energy use setpoint generator configured to calculate the energy use setpoint using a demand limiting technique subject to a constraint defining a threshold value for a condition affected by the energy use setpoint.

2. The feedback controller of claim 1, wherein the constraint defines a comfort threshold and the energy use setpoint is estimated to result in the condition affected by the energy use setpoint reaching the comfort threshold at the end of the demand limiting period.

3. The feedback controller of claim 1, wherein the energy use setpoint generator is configured to calculate the energy use setpoint using a history of values for the energy use setpoint from a previous demand limiting period and a history of values for the condition affected by the energy use setpoint from the previous demand limiting period to estimate the condition at the end of the current demand limiting period.

4. The feedback controller of claim 1, wherein the energy use setpoint generator is configured to determine a probability that the calculated energy use setpoint is successful in maintaining the condition affected by the energy use setpoint within an acceptable range of values during the demand limiting period;

wherein the constraint defines a probability threshold and the energy use setpoint is estimated to result in the determined probability being greater than or equal to the probability threshold.

5. The feedback controller of claim 1, wherein the energy use setpoint generator is configured to calculate an expected cost resulting from the energy use setpoint;

wherein the constraint defines a cost threshold and the energy use setpoint is estimated to result in the expected cost being less than or equal to the cost threshold at the end of the demand limiting period.

6. The feedback controller of claim 1, wherein the energy use setpoint generator is configured to:

generate an objective function using a difference between an expected gain resulting from the energy use setpoint and an expected loss resulting from the energy use setpoint; and

calculate the energy use setpoint by optimizing the objective function.

7. The feedback controller of claim 6, wherein:

the expected gain is a savings realized if the energy use setpoint is successful in maintaining the condition affected by the energy use setpoint within an acceptable range of values during the demand limiting period multiplied by the probability of success; and

the expected loss is a cost incurred if the energy use setpoint fails to maintain the condition affected by the energy use setpoint within the acceptable range of values during the demand limiting period multiplied by the probability of failure.

8. The feedback controller of claim 1, wherein the energy use setpoint generator is configured to calculate the energy use setpoint using a cost function that minimizes a financial cost of electrical power;

wherein the cost function comprises a probability that the energy use setpoint is successful in maintaining the condition affected by the energy use setpoint within an acceptable range of values during the demand limiting period.

9. A method for controlling power consumption by an HVAC system of a building during a demand limiting period, the method comprising:

using an energy use setpoint as a reference input for a feedback controller;

using a measured energy use as a measured input for the feedback controller;

using the feedback controller to generate a manipulated variable output for adjusting the operation of an HVAC device during the demand limiting period; and

calculating the energy use setpoint using a demand limiting technique subject to a constraint defining a threshold value for a condition affected by the energy use setpoint.

10. The method of claim 9, wherein the constraint defines a comfort threshold and the energy use setpoint is estimated to result in the condition affected by the energy use setpoint reaching the comfort threshold at the end of the demand limiting period.

11. The method of claim 9, wherein calculating the energy use setpoint comprises using a history of values for the energy use setpoint from a previous demand limiting period and a history of values for the condition affected by the energy use setpoint from the previous demand limiting period to estimate the condition at the end of the current demand limiting period.

12. The method of claim 9, further comprising determining a probability that the calculated energy use setpoint is successful in maintaining the condition affected by the energy use setpoint within an acceptable range of values during the demand limiting period;

wherein the constraint defines a probability threshold and the energy use setpoint is estimated to result in the determined probability being greater than or equal to the probability threshold.

13. The method of claim 9, further comprising calculating an expected cost resulting from the energy use setpoint;

wherein the constraint defines a cost threshold and the energy use setpoint is estimated to result in the expected cost being less than or equal to the cost threshold at the end of the demand limiting period.

14. The method of claim 9, further comprising generating an objective function using a difference between an expected gain resulting from the energy use setpoint and an expected loss resulting from the energy use setpoint;

wherein calculating the energy use setpoint comprises optimizing the objective function.

15. The method of claim 14, wherein:

the expected gain is a savings realized if the energy use setpoint is successful in maintaining the condition affected by the energy use setpoint within an acceptable range of values during the demand limiting period multiplied by the probability of success; and

the expected loss is a cost incurred if the energy use setpoint fails to maintain the condition affected by the energy use setpoint within the acceptable range of values during the demand limiting period multiplied by the probability of failure.

16. The method of claim 9, wherein calculating the energy use setpoint comprises using a cost function that minimizes a financial cost of electrical power;

wherein the cost function comprises a probability that the energy use setpoint is successful in maintaining the condition affected by the energy use setpoint within an acceptable range of values during the demand limiting period.

17. A system for controlling power consumption by an HVAC system of a building during a demand limiting period, the system for controlling power consumption comprising:

a feedback controller configured to use a difference between an energy use setpoint and a measured energy use to generate a value of a manipulated variable for adjusting the operation of an HVAC device during a demand limiting period; and

an energy use setpoint generator configured to calculate the energy use setpoint using a demand limiting technique subject to a constraint defining a threshold value for a condition affected by the energy use setpoint.

18. The system of claim 17, wherein the constraint defines a comfort threshold and the energy use setpoint is estimated to result in the condition affected by the energy use setpoint reaching the comfort threshold at the end of the demand limiting period.

19. The system of claim 17, wherein the energy use setpoint generator is configured to calculate an expected cost resulting from the energy use setpoint;

wherein the constraint defines a cost threshold and the energy use setpoint is estimated to result in the expected cost being less than or equal to the cost threshold at the end of the demand limiting period.

20. The system of claim 17, wherein the energy use setpoint generator is configured to determine a probability that the calculated energy use setpoint is successful in maintaining the condition affected by the energy use setpoint within an acceptable range of values during the demand limiting period;

wherein the constraint defines a probability threshold and the energy use setpoint is estimated to result in the determined probability being greater than or equal to the probability threshold.