Method and apparatus for adaptively optimizing climate control energy consumption in a building

• US 5,115,967 A
• Filed: 03/18/1991
• Issued: 05/26/1992
• Est. Priority Date: 03/18/1991
• Status: Expired due to Fees

• Current Assignee: Gilbert L. Wedekind
• Original Assignee: Gilbert L. Wedekind
• Inventors: Wedekind, Gilbert L.
• Primary Examiner(s): Wayner, William E.
• Application Number:
  US07/670,718
• Time in Patent Office: 435 Days
• Field of Search: 236/46 R, 236/91 R, 236/91 E, 165/12, 364/505
• US Class Current: 236/46.00R
• CPC Class Codes: F24F 11/00 Control or safety arrangements
• 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 11/46 Improving electric energy efficiency or saving
• CPC Class Codes: F24F 11/61 using timers
• CPC Class Codes: F24F 11/63 Electronic processing
• CPC Class Codes: F24F 2110/10 Temperature
• CPC Class Codes: F24F 2110/12 of the outside air
• CPC Class Codes: F24F 2110/30 Velocity
• CPC Class Codes: F24F 2130/20 Sunlight
• CPC Class Codes: F24F 2140/50 Load
• CPC Class Codes: G05D 23/1904 variable in time
• CPC Class Codes: G05D 23/1917 using digital means
• CPC Class Codes: G05D 23/1931 to control the temperature of one space

Abstract

A computer (37) or microprocessor-based thermostat system (10) for automatically determining and implementing an optimum thermostat setback schedule (80) which, while maintaining a user-specified occupancy comfort schedule (39), minimizes the energy consumption of the climate control system (18) within an enclosure (30). The method of the thermostat assembly (10), using the continuous measurement of various air temperatures, fluid flows, and energy consumption rates includes the adaptive capability of indirectly learning the relevant thermal and thermodynamic characteristics of both the enclosure (30) and the climate control system (18), including such thermal parameters as the effective thermal capacitance of the internal walls and contents (53,55) of the enclosure (30), the effective internal heat transfer conductance between the thermal capacitance and the air within the conditioned space (28), the effective external heat transfer conductance between the inside air (28) and the outside air (36) and the efficiency of the climate control system (18), which includes the associated air distribution system (22, 32), as a function of its input energy rate.

The method also includes a non-linear efficiency model, using the aforementioned thermal parameters, which has the capability of predicting, in advance of implementation, the energy consumption of the climate control system (18) as a function of outside air temperature and the user-specified occupancy comfort schedule (39). An optimization scheme is then used to determine the most energy efficient thermostat setback schedule (80) for the current outdoor air temperature, while still satisfying the user-specified occupancy comfort schedule (39).

Claims

1. A thermostat assembly (10) for changing the output of a climate control system (18) for an enclosure (30) defining a conditioned space (28) having variable energy consumption and utilizing inside air and outside air, said assembly (10) comprising:

input means (38) for inputting a schedule (39) having a plurality of transition domains (40) separating a plurality of quasi-steady state domains (42);

inside sensing means (34) for measuring the temperature of the inside air;

outside sensing means (36) for measuring the temperature of the outside air, said assembly (10) characterized by

processing means (44) for storing a non-linear efficiency model and for receiving said temperatures of the inside air and the outside air and for changing at least one of said plurality of domains (40,

     42) utilizing said non-linear efficiency model for optimizing the energy consumption as a function of said temperatures of the inside air and the outside air.

2. An assembly (10) as set forth in claim 1 further characterized by energy sensor means (46) for measuring the input energy consumption rate (E_g) of the climate control system (18).

3. An assembly (10) as set forth in claim 2 further characterized by circulation flow means (48) for measuring the flow of the distributed air at a central passageway (50) where all of the inside air passes therethrough.

4. An assembly (10) as set forth in claim 3 further characterized by cycle time sensor means (54) for sensing the cycle period (t_c) of the climate control system (18).

5. An assembly (10) as set forth in claim 4 further characterized by blower cycle clocking means (52) for measuring the amount of time (t_b) a circulation system (32) is operating.

6. An assembly (10) as set forth in claim 5 further characterized by input energy cycle time sensor means (56) for measuring the period of time (t_e) during each of the cycle periods in which the climate control system (18) is consuming energy.

7. An assembly (10) as set forth in claim 6 further characterized by distribution air temperature means (58) for measuring the temperature of the distributed air near at least one of a plurality of outlet ports (60) of the climate control system (18).

8. An assembly (10) as set forth in claim 7 further characterized by said distribution air temperature means (58) further including a plurality of distribution air temperature sensors (58), each for sensing the temperature of the distributed air near one of the plurality of outlet ports (60) of the climate control system (18), wherein each of said plurality of distribution air temperature sensors (58) has an output.

9. An assembly (10) as set forth in claim 8 further characterized by distribution air temperature averaging means (70) for averaging the outputs of each of said plurality of distribution air temperature sensors (58).

10. An assembly (10) as set forth in claim 9 further characterized by said non-linear thermal model further including climate control efficiency measuring means (67) for measuring the efficiency η

_s of the climate control system for the enclosure (30) expressed by the equation;

space="preserve" listing-type="equation">η

.sub.s =a.sub.o E.sub.g.sup.n

wherein

E_g =input energy consumption rate of the climate control system;

a_o =empirical coefficient based on data acquired from said sensors; and

n=empirical exponent based on data acquired from said sensors.

11. An assembly (10) as set forth in claim 10 further characterized by said inside sensing means (34) comprising a plurality of inside air temperature sensors (34) spaced throughout the conditioned space (18), each of said plurality of inside air temperature sensors (34) having an output.

12. An assembly (10) as set forth in claim 11 further characterized by inside air temperature averaging means (68) for averaging the outputs associated with said plurality of inside air temperature sensors (34).

13. An assembly (10) as set forth in claim 12 further characterized by said outside sensing means (36) comprising a plurality of outside air temperature sensors (36) spaced around the enclosure (30), each of said plurality of outside air temperature sensors (36) having an output.

14. An assembly (10) as set forth in claim 13 further characterized by outside air temperature averaging means (77) for averaging the outputs associated with each of said plurality of outside temperature sensors (36).

15. A method for optimizing the energy consumption of a climate control system (18) of an enclosure (30) defining a condition space (28), the method comprising the steps of:

establishing a schedule (39) defining predetermined temperatures of the condition space (28) at predetermined times;

measuring the inside air temperature;

measuring the outside air temperature;

predicting energy consumption for the schedule (39,80) based on the inside and theoutside air temperatures, the method is characterized by

non-linarly altering the schedule (80) to optimize energy consumption based on the inside and outside air temperatures.

16. A metod as set forth in claim 15 further characterized by measuring the input energy flow E_g of the climate control system (18).

17. A method as set forth in claim 16 further characterized by measuring the flow of the distributed air at a central passageway (50) of the climate control system (18).

18. A method as set forth in claim 17 further characterized by measuring the amount of time a circulation system (32) is operating.

19. A method as set forth in claim 18 further characterized by measuring the cycle period of the climate control system (18).

20. A method as set forth in claim 19 further characterized by measuring the period of time during each of the cycle periods of the climate control system (18) in which the climate control system (18) is consuming energy.

21. A method as set forth in claim 20 further characterized by measuring the temperature of the distributed air near at least one of a plurality of outlet port (60) of the climate control system (18).

22. A method as set forth in claim 21 further characterized by determining the efficiency η

_s of the climate control system (18) in the enclosure (30) using the equation;

space="preserve" listing-type="equation">η

.sub.s =a.sub.o E.sub.g.sup.n

wherein

E_g =the input energy flow of the climate control system (18);

a_o =empirical coefficient based on data acquired from the climate control system (18); and

n=empirical exponent based on data acquired from the enclosure.

23. A method as set forth in claim 22 further characterized by sensing the inside air temperature at a plurality of locations within the enclosure (30).

24. A method as set forth in claim 23 further characterized by averaging the outputs associated with the plurality of the inside air temperature measurements.

25. A method as set forth in claim 24 further characterized by measuring the outside air temperature at a plurality of locations.

26. A method as set forth in claim 25 further characterized by averaging all of the outside air temperature measurements.