US 9,810,442 B2
Controlling an HVAC system in association with a demand-response event with an intelligent network-connected thermostat
Yoky Matsuoka, Palo Alto, CA (US); Mark Malhotra, San Mateo, CA (US); Allen J. Minich, San Mateo, CA (US); and Mark D. Stefanski, Palo Alto, CA (US)
Assigned to Google Inc., Mountain View, CA (US)
Filed by Google Inc., Mountain View, CA (US)
Filed on Apr. 19, 2013, as Appl. No. 13/866,635.
Application 13/866,635 is a continuation in part of application No. 13/842,213, filed on Mar. 15, 2013.
Prior Publication US 2014/0277761 A1, Sep. 18, 2014
Int. Cl. G05D 23/19 (2006.01); F24F 11/00 (2006.01)
CPC F24F 11/006 (2013.01) [G05D 23/1904 (2013.01); G05D 23/1905 (2013.01); F24F 2011/0047 (2013.01); F24F 2011/0057 (2013.01)] 18 Claims
OG exemplary drawing
 
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; and
a 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; and
controlling the HVAC system during the DR event period in accordance with the optimal predicted indoor temperature profile or HVAC duty cycle schedule.