Controlling an HVAC system in association with a demand-response event with an intelligent network-connected thermostat
원문보기
IPC분류정보
국가/구분
United States(US) Patent
등록
국제특허분류(IPC7판)
G05D-023/19
F24F-011/00
출원번호
US-0866635
(2013-04-19)
등록번호
US-9810442
(2017-11-07)
발명자
/ 주소
Matsuoka, Yoky
Malhotra, Mark
Minich, Allen J.
Stefanski, Mark D.
출원인 / 주소
Google Inc.
대리인 / 주소
Kilpatrick Townsend & Stockton LLP
인용정보
피인용 횟수 :
1인용 특허 :
66
초록▼
Apparatus, systems, methods, and related computer program products for carrying out a demand response (DR) event via an intelligent, network-connected thermostat associated with a structure. The systems disclosed include an energy management system in operation with an intelligent, network-connected
Apparatus, systems, methods, and related computer program products for carrying out a demand response (DR) event via an intelligent, network-connected thermostat associated with a structure. The systems disclosed include an energy management system in operation with an intelligent, network-connected thermostat located at a structure. The thermostat is operable to control an HVAC system. Control during a DR event period may be performed based on an optimal control trajectory of the HVAC system, where the control trajectory is optimal in that it minimizes a cost function comprising a combination of a first factor representative of a total energy consumption during the DR event period, a second factor representative of a metric of occupant discomfort, and a third factor representative of deviations of a rate of energy consumption over the DR event period.
대표청구항▼
1. A method of carrying out a demand response (DR) event by an intelligent, network-connected thermostat associated with a structure, the method comprising: identifying a DR event that defines a DR event period;accessing a plurality of parameter sets;generating candidate setpoint schedules during th
1. A method of carrying out a demand response (DR) event by an intelligent, network-connected thermostat associated with a structure, the method comprising: identifying a DR event that defines a DR event period;accessing a plurality of parameter sets;generating candidate setpoint schedules during the DR event for the plurality of parameter sets;simulating each of the candidate setpoint schedules using a thermodynamic model of how the structure responds to a heating, ventilation, and air conditioning (HVAC) system;generating predicted indoor temperature profiles or HVAC duty cycle schedules for each of the simulated candidate setpoint schedules;evaluating a cost function for each of the predicted indoor temperature profiles or HVAC duty cycle schedules, the cost function comprising a combination of: a first factor representative of a total energy consumption of the HVAC system during the DR event period;a second factor representative of a metric of occupant discomfort in the structure; anda third factor representative of deviations of a rate of energy consumption of the HVAC system from an equalized rate of energy consumption of the HVAC system over the DR event period such that the rate of energy consumption by the HVAC system over the DR event period can be made substantially constant;selecting an optimal predicted indoor temperature profile or HVAC duty cycle schedule that minimizes the cost function; andcontrolling the HVAC system during the DR event period in accordance with the optimal predicted indoor temperature profile or HVAC duty cycle schedule. 2. The method of claim 1, further comprising: determining a setpoint temperature profile over the DR event period, including: calculating a setpoint temperature profile over the DR event period based on an expected indoor temperature trajectory, andidentifying peaks and troughs of the calculated setpoint temperature profile; andcausing setpoint temperatures defined by the setpoint temperature profile to be displayed to a user of the HVAC system. 3. The method of claim 1, wherein each parameter set comprises: a first parameter indicative of a temperature-wise offset from a temperature setpoint of an original setpoint schedule; anda second parameter indicative of a slope of a linear sequence of temperature setpoints passing through a point at the temperature-wise offset from the temperature setpoint of the original setpoint schedule,wherein the temperature-wise offset and the slope of the linear sequence of temperature setpoints are designed to assist in reducing the deviations of the rate of energy consumption over the DR event period. 4. The method of claim 3, wherein each parameter set further comprises a third parameter indicative of a maximum HVAC duty cycle period. 5. The method of claim 3, wherein each parameter set further comprises a fourth parameter indicative of a duration of the pre-DR event period. 6. The method of claim 1, wherein the thermodynamic model of how the structure responds to the HVAC system is continuously updated. 7. An intelligent network-connected thermostat for controlling an operation of an HVAC system in a structure, the thermostat comprising: HVAC control circuitry operable to actuate one or more elements of the HVAC system;one or more sensors for measuring characteristics of a smart home environment; anda processor coupled to the HVAC control circuitry and the one or more sensors and operable to cause the thermostat to perform operations including: identifying a DR event that defines a DR event period;accessing a plurality of parameter sets;generating candidate setpoint schedules during the DR event for the plurality of parameter sets;simulating each of the candidate setpoint schedules using a thermodynamic model of how the structure responds to the HVAC system;generating predicted indoor temperature profiles or HVAC duty cycle schedules for each of the simulated candidate setpoint schedules;evaluating a cost function for each of the predicted indoor temperature profiles or HVAC duty cycle schedules, the cost function comprising a combination of: a first factor representative of a total energy consumption of the HVAC system during the DR event period;a second factor representative of a metric of occupant discomfort in the structure; anda third factor representative of deviations of a rate of energy consumption of the HVAC system from an equalized rate of energy consumption of the HVAC system over the DR event period such that the rate of energy consumption by the HVAC system over the DR event period can be made substantially constant; andselecting an optimal predicted indoor temperature profile or HVAC duty cycle schedule that minimizes the cost function; andcontrolling the HVAC system during the DR event period in accordance with the optimal predicted indoor temperature profile or HVAC duty cycle schedule. 8. The thermostat of claim 7, wherein the processor is further operable to cause the thermostat to perform operations including: determining whether the HVAC system should be controlled in accordance with a different predicted indoor temperature profile or HVAC duty cycle schedule; andupon determining that the HVAC system should be controlled in accordance with a different predicted indoor temperature profile or HVAC duty cycle schedule: identifying a new predicted indoor temperature profile or HVAC duty cycle schedule; andcontrolling the HVAC system in accordance with the new predicted indoor temperature profile or HVAC duty cycle schedule. 9. The thermostat of claim 8, wherein determining whether the HVAC system should be controlled in accordance with a different predicted indoor temperature profile or HVAC duty cycle schedule is performed periodically during the DR event period. 10. The thermostat of claim 8, wherein determining whether the HVAC system should be controlled in accordance with a different predicted indoor temperature profile or HVAC duty cycle schedule includes one or more of: monitoring an indoor temperature of the structure and comparing the monitored indoor temperature of the structure to a predicted indoor temperature of the structure;monitoring a state of the HVAC system and comparing the monitored state of the HVAC system to a predicted state of the HVAC system;monitoring a real-time occupancy of the structure; anddetermining whether the optimal predicted indoor temperature profile or HVAC duty cycle schedule fails. 11. The thermostat of claim 8, wherein identifying a subsequent predicted indoor temperature profile or HVAC duty cycle schedule includes one of: determining a newly optimized predicted indoor temperature profile or HVAC duty cycle schedule that minimizes the cost function;determining an original control trajectory; anddetermining a default control trajectory. 12. The thermostat of claim 7, wherein the processor is further operable to cause the thermostat to perform operations including: monitoring an indoor temperature of the structure;comparing the monitored indoor temperature of the structure to a predicted indoor temperature of the structure; andupon determining that the monitored indoor temperature is different from the predicted indoor temperature of the structure by at least a certain amount: determining a default control trajectory; andcontrolling the HVAC system in accordance with the default control trajectory. 13. The thermostat of claim 7, wherein the processor is further operable to cause the thermostat to perform operations including: monitoring a state of the HVAC system;comparing the monitored state of the HVAC system to a predicted state of the HVAC system; andupon determining that the monitored indoor temperature is different from the predicted indoor temperature of the structure by at least a certain amount: determining a newly optimized control trajectory that minimizes the cost function; andcontrolling the HVAC system in accordance with the newly optimized control trajectory. 14. A tangible non-transitory computer-readable storage medium including instructions that, when executed by a processor of a thermostat, cause the processor of the thermostat to perform operations including: identifying a DR event that defines a DR event period;accessing a plurality of parameter sets;generating candidate setpoint schedules during the DR event for the plurality of parameter sets;simulating each of the candidate setpoint schedules using a thermodynamic model of how the structure responds to a heating, ventilation, and air conditioning (HVAC) system;generating predicted indoor temperature profiles or HVAC duty cycle schedules for each of the simulated candidate setpoint schedules;evaluating a cost function for each of the predicted indoor temperature profiles or HVAC duty cycle schedules, the cost function comprising a combination of: a first factor representative of a total energy consumption of the HVAC system during the DR event period;a second factor representative of a metric of occupant discomfort in the structure; anda third factor representative of deviations of a rate of energy consumption of the HVAC system from an equalized rate of energy consumption of the HVAC system over the DR event period such that the rate of energy consumption by the HVAC system over the DR event period can be made substantially constant;selecting an optimal predicted indoor temperature profile or HVAC duty cycle schedule that minimizes the cost function; andcontrolling the HVAC system during the DR event period in accordance with the optimal predicted indoor temperature profile or HVAC duty cycle schedule. 15. The storage medium of claim 14 further including instructions that, when executed by the computer processor, cause the computer processor to perform additional operations including: determining an original control trajectory of the HVAC system;comparing the optimized predicted indoor temperature profile or HVAC duty cycle schedule to the original control trajectory; andcontrolling the HVAC system in accordance with the original control trajectory upon determining that the optimized predicted indoor temperature profile or HVAC duty cycle schedule is similar to within a threshold amount of the original control trajectory. 16. The storage medium of claim 14 further including instructions that, when executed by the computer processor, cause the computer processor to perform additional operations including: receiving a user input indicative of a user amenability to DR load shifting; andweighting one or more of the first factor, second factor, and third factor based on the user input. 17. The storage medium of claim 14 further including instructions that, when executed by the computer processor, cause the computer processor to perform additional operations including: determining an occupancy probability profile indicating a likelihood of a structure associated with the HVAC system being occupied during the DR event period,wherein the metric of occupant discomfort is determined at least in part on the occupancy probability profile. 18. The storage medium of claim 14, wherein determining an optimized predicted indoor temperature profile or HVAC duty cycle schedule includes identifying an optimal one of the plurality of candidate parameter sets by applying the associated optimal setpoint schedule to a model of the HVAC system, the model being operable to predict an indoor temperature trajectory for a given HVAC control trajectory.
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Dewolf Thomas L. (8139 Portobello Way Liverpool NY 13090) Phillips Thomas R. (6108 Gaspe La. Cicero NY 13041) Bench Ronald W. (8535 Farmgate Path Cicero NY 13041), Active anticipatory control.
Levine Michael R. (Ann Arbor MI), Analog to digital conversion employing the system clock of a microprocessor, the clock frequency varying with analog inp.
Massara James M. (Dunwoody GA) Davis Glenn A. (Lilburn GA), Apparatus and method for controlling distribution of electrical energy to a space conditioning load.
Berglund Ulf Stefan,SEX ; Lundberg Bjorn Henry,SEX, Comfort control system incorporating weather forecast data and a method for operating such a system.
Brown ; Jr. Robert J. (6688 Serena La. Boca Raton FL 33433) Romanowiz James D. (2919 Banyan Rd. Boca Raton FL 33432) Staples Charles W. (270 NW. 36th St. Boca Raton FL 33431), Energy management and home automation system.
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Williams Christopher D. ; Goldschmidt Iti Jean M. ; Shah-Nazaroff Anthony A. ; Watts E. Michael ; Moore Kenneth Alan ; Hackson David N., Method and apparatus for automatically configuring a system based on a user's monitored system interaction and preferre.
Mueller, Carl J.; Toth, Bartholomew L.; Albanello, Frank A., Method and apparatus for automatically transmitting temperature information to a thermostat.
Berkeley Arnold D. ; Jefferson Donald E., Method and apparatus for conserving peak load fuel consumption and for measuring and recording fuel consumption.
Bohrer,Philip J.; Merten,Gregory J.; Schnell,Robert J.; Atlass,Michael B., Profile based method for deriving a temperature setpoint using a 'delta' based on cross-indexing a received price-point level signal.
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Cheung, Leo; Hublou, Scott Douglas; Steinberg, John Douglas, System and method for using ramped setpoint temperature variation with networked thermostats to improve efficiency.
Simon ; deceased Bernard S. (late of St. Louis Park MN by Barbara J. Simon ; executor) Smith Wade W. (Plymouth MN), Two-way wireless HVAC system and thermostat.
Burns, Daniel J.; Di Cairano, Stefano; Bortoff, Scott A.; Laughman, Christopher R., System and method for controlling multi-zone vapor compression systems.
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