THERMODYNAMIC MODELING FOR ENCLOSURES

• US 20150167996A1
• Filed: 02/24/2015
• Published: 06/18/2015
• Est. Priority Date: 09/14/2010
• Status: Active Grant

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Google Inc. (Alphabet Inc.)
• Inventors: Fadell, Anthony Michael, Rogers, Matthew Lee, Rogers, Kipp Avery, Ishihara, Abraham K., Ben-Menahem, Shahar, Sharan, Rangoli
• Granted Patent: US 10,107,513 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• 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 11/62 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 11/64 using pre-stored data
• CPC Class Codes: F24F 2110/10 Temperature
• CPC Class Codes: F24F 2110/20 Humidity
• CPC Class Codes: F24F 2130/00 Control inputs relating to environmental factors not covered by group F24F2110/00
• CPC Class Codes: F24F 2130/10 Weather information or forecasts
• CPC Class Codes: G05B 13/048 using a predictor
• CPC Class Codes: G05D 23/1917 using digital means
• CPC Class Codes: G06F 2113/14 Pipes
• CPC Class Codes: G06F 30/13 Architectural design, e.g. computer-aided architectural design [CAAD] related to design of buildings, bridges, landscapes, production plants or roads
• CPC Class Codes: G06F 30/20 Design optimisation, verification or simulation optimisation, verification or simulation of circuit designs G06F30/30

Abstract

Modeling the behavior of an enclosure for use by a control system of an HVAC system is described. A model for the enclosure that describes the enclosure'"'"'s behavior for use by the control system is updated based on weather forecast data. The weather forecast data can include predictions more than 24 hours in the future, and can include predictions on temperature, humidity and/or dew point, solar output, precipitation. The model for the enclosure can also be updated based on additional information and data. The model for the enclosure can be updated based also on an enclosure model stored in a database, and/or enclosure information from a user. The model can be updated based on active testing of the enclosure which can be performed automatically or in response to user input. The testing can include heating and/or cooling the enclosure at times when the enclosure is not likely occupied.

Claims

1. A method for modeling an internal environmental behavior of an enclosure for use by a control system of an HVAC system installed in the enclosure, the method comprising:

determining, by the control system, historical weather data corresponding to a location of the enclosure;

creating, by the control system, a thermodynamic model for the enclosure using the determined historical weather data corresponding to the location of the enclosure, wherein the thermodynamic model describes the thermodynamic behavior of the enclosure for use by the control system;

receiving, by the control system, weather forecast data corresponding to the location of the enclosure;

predicting, by the control system, using the created thermodynamic model and a thermodynamic behavior prediction engine, how the enclosure will thermally react to activity of the HVAC system when the enclosure is exposed to forecast weather indicated by the weather forecast data; and

controlling, by the control system, based on the created thermodynamic model for the enclosure, the HVAC system to adjust a temperature of the internal environment of the enclosure.

2. The method for modeling the internal environmental behavior of the enclosure for use by the control system of the HVAC system installed in the enclosure of claim 1, wherein determining the historical weather data comprises obtaining the historical weather data from one or more private weather stations.

3. The method for modeling the internal environmental behavior of the enclosure for use by the control system of the HVAC system installed in the enclosure of claim 1, further comprising:

collecting, by the control system, occupancy data of the enclosure, wherein updating the thermodynamic model for the enclosure comprises updating the thermodynamic model based on the occupancy data for the enclosure.

4. The method for modeling the internal environmental behavior of the enclosure for use by the control system of the HVAC system installed in the enclosure of claim 1, further comprising:

accessing, by the control system, from an enclosure models database, an enclosure model from a plurality of enclosure models, wherein the plurality of enclosure models correspond to a plurality of types of enclosures; and

retrieving, by the control system, from the enclosure models database, the enclosure model, wherein the enclosure model is used in creating the thermodynamic model of the enclosure.

5. The method for modeling the internal environmental behavior of the enclosure for use by the control system of the HVAC system installed in the enclosure of claim 1, further comprising:

updating the thermodynamic model if an error metric exceeds an error threshold, by;

inducing, by the control system, a change in an internal environment of the enclosure using the HVAC system;

measuring, by the control system, a response of the internal environment of the enclosure at least in part due to the induced change; and

updating, by the control system, the thermodynamic model based on the measurement of the response of the internal environment of the enclosure from the induced change.

7. The method for modeling the internal environmental behavior of the enclosure for use by the control system of the HVAC system installed in the enclosure of claim 1, wherein the weather forecast data comprises weather predictions at least twenty four hours in the future.

8. The method for modeling the internal environmental behavior of the enclosure for use by the control system of the HVAC system installed in the enclosure of claim 1, further comprising:

receiving, by the control system, localized weather data from one or more sensors on or around the enclosure, wherein creating the thermodynamic model for the enclosure using the received historical weather data further comprises using the received localized weather data to create the thermodynamic model.

6. The method for modeling the internal environmental behavior of the enclosure for use by the control system of the HVAC system installed in the enclosure of claim 6, further comprising:

generating, by the control system, the error metric based upon a comparison of an indoor temperature of the enclosure predicted using the updated model and at least one sensor reading within the enclosure indicative of a measured indoor temperature.

9. A system for modeling the internal environmental behavior of an enclosure for use by a control system of an HVAC system installed in the enclosure, the system comprising:

at least one processor; and

a non-transitory storage medium having instructions stored thereon, the instructions executable by the at least one processor to;

determine historical weather data corresponding to a location of the enclosure;

create a thermodynamic model for the enclosure using the received historical weather data corresponding to the location of the enclosure, wherein the thermodynamic model describes behavior of the enclosure for use by the control system;

receive weather forecast data corresponding to the location of the enclosure;

predict, using the created model and a thermodynamic behavior prediction engine, how the enclosure will thermally react to activity of the HVAC system when the enclosure is exposed to forecast weather indicated by the weather forecast data; and

control based on the created thermodynamic model for the enclosure, the HVAC system to adjust a temperature of the internal environment of the enclosure.

10. The system for modeling the internal environmental behavior of the enclosure for use by the control system of the HVAC system installed in the enclosure of claim 9, wherein the historical weather data indicates historical precipitation data.

11. The system for modeling the internal environmental behavior of the enclosure for use by the control system of the HVAC system installed in the enclosure of claim 9, wherein the instructions further being executable by the at least one processor to:

collect occupancy data of the enclosure based on sensing occupancy with the enclosure, wherein creating the thermodynamic model for the enclosure comprises creating the thermodynamic model based on the occupancy data for the enclosure.

12. The system for modeling the internal environmental behavior of the enclosure for use by the control system of the HVAC system installed in the enclosure of claim 9, wherein the instructions further being executable by the at least one processor to:

predict occupancy data of the enclosure, wherein creating the thermodynamic model for the enclosure comprises creating the thermodynamic model based on the occupancy data for the enclosure.

13. The system for modeling the internal environmental behavior of the enclosure for use by the control system of the HVAC system installed in the enclosure of claim 9, wherein the instructions further being executable by the at least one processor to:

receive, from an online real estate database, enclosure data indicative of numbers of types of rooms within the enclosure, wherein creating the thermodynamic model for the enclosure comprises creating the thermodynamic model based on the enclosure data.

14. The system for modeling the internal environmental behavior of the enclosure for use by the control system of the HVAC system installed in the enclosure of claim 9, wherein the instructions further being executable by the at least one processor to:

receive, calendar data that is indicative of at least weekdays and weekends, wherein creating the thermodynamic model for the enclosure comprises creating the thermodynamic model based on the calendar data.

15. A non-transitory processor-readable medium for modeling the internal environmental behavior of an enclosure for use by a control system of an HVAC system installed in the enclosure comprising processor-readable instructions configured to cause one or more processors to:

determine historical weather data corresponding to a location of the enclosure;

create a thermodynamic model for the enclosure using the received historical weather data corresponding to the location of the enclosure, wherein the thermodynamic model describes behavior of the enclosure for use by the control system;

receive weather forecast data corresponding to the location of the enclosure;

predict using the created thermodynamic model and a thermodynamic behavior prediction engine, how the enclosure will react to activity of the HVAC system when the enclosure is exposed to forecast weather indicated by the weather forecast data; and

control based on the created thermodynamic model for the enclosure, the HVAC system to adjust a temperature of the internal environment of the enclosure.

16. The non-transitory processor-readable medium for modeling the internal environmental behavior of the enclosure for use by the control system of the HVAC system installed in the enclosure of claim 15, wherein the processor-readable instructions are further configured to cause the one or more processors to:

discover at least one sensor location based on temperature data collected from the sensor that is located at the sensor location.

17. The non-transitory processor-readable medium for modeling the internal environmental behavior of the enclosure for use by the control system of the HVAC system installed in the enclosure of claim 15, wherein the processor-readable instructions are further configured to cause the one or more processors to:

receive HVAC output data indicative of a power level of the HVAC system, wherein creating the thermodynamic model for the enclosure is further based on the HVAC output data.

18. The non-transitory processor-readable medium for modeling the internal environmental behavior of the enclosure for use by the control system of the HVAC system installed in the enclosure of claim 15, wherein the processor-readable instructions are further configured to cause the one or more processors to:

detect an open window performance fault based upon a measured rapid change in a rate of heat exchange between the enclosure and an outside environment.

19. The non-transitory processor-readable medium for modeling the internal environmental behavior of the enclosure for use by the control system of the HVAC system installed in the enclosure of claim 15, wherein the processor-readable instructions are further configured to cause the one or more processors to:

update the thermodynamic model if an error metric exceeds an error threshold, by causing the one or more processors to;

induce a change in an internal environment of the enclosure using the HVAC system;

measure a response of the internal environment of the enclosure at least in part due to the induced change; and

update the thermodynamic model based on the measurement of the response of the internal environment of the enclosure from the induced change.

20. The non-transitory processor-readable medium for modeling the internal environmental behavior of the enclosure for use by the control system of the HVAC system installed in the enclosure of claim 19, wherein the processor-readable instructions are further configured to cause the one or more processors to:

generate the error metric based upon a comparison of an indoor temperature of the enclosure predicted using the updated model and at least one sensor reading within the enclosure indicative of a measured indoor temperature.