System and method for characterization of air leakage in building using data from communicating thermostats and/or interval meters

1. A method comprising:

obtaining, using at least one computing device disposed remote from an electronic meter of a building, heating, ventilation and air conditioning (HVAC) information indicative of HVAC runtime at the building;

selecting, using the at least one computing device, a first subset of the HVAC information corresponding to a set of first time intervals characterized at least in part by a first wind speed value;

selecting, using the at least one computing device, a second subset of the HVAC information by matching each time interval within the first set of time intervals with a corresponding second time interval characterized at least in part by a second wind speed value less than the first wind speed value, wherein each second time interval has a start or end timestamp that satisfies a threshold in relation to a start or end timestamp of each first time interval, wherein the first and second wind speed values represent information relating to wind speed during the first and second time intervals, respectively, each second time interval having at least one outdoor weather parameter and at least one indoor weather parameter that satisfies a similarity threshold when compared with corresponding outdoor and indoor weather parameters of a corresponding first time interval;

computing, using the at least one computing device and based on the first and second subsets of the HVAC information and a stack effect parameter, an air leakage parameter indicative of an air leakage of the building, wherein the stack effect parameter is calculated based on a relationship to a wind effect parameter;

computing, using the at least one computing device, at least one confidence interval for one or more thermal characteristics of the building comprising at least one of a value indicative of a thermal insulation or a value indicative of a heating, ventilation and air conditioning (HVAC) efficiency;

executing, using the at least one computing device, a computer model to calculate an estimated one or more thermal characteristics of the building, wherein the computer model identifies possible values of the estimated one or more thermal characteristics of the building in accordance with the at least one confidence interval;

simulating, using the at least one computing device, a set of retrofit opportunity scenarios to determine suitability of the building for a retrofit opportunity to improve energy efficiency of the building, wherein for each retrofit opportunity scenario the at least one computing device calculates one or more simulated air leakage parameters and the one or more simulated thermal characteristics for the building and compares the simulated air leakage parameters with the computed air leakage of the building; and

generating and transmitting, using the at least one computing device, an electronic notification to an electronic device associated with the building, the notification comprising at least one recommendation corresponding to at least one simulated retrofit opportunity to improve energy efficiency of the building by modifying at least the air leakage of the building.

2. The method of claim 1 , wherein obtaining the HVAC information comprises:

receiving, from a communicating thermostat disposed at the building and using the at least one computing device, temperature data indicative of a temperature at the building; and

computing, using the at least one computing device, the HVAC information based on the temperature data.

3. The method of claim 1 , wherein obtaining the HVAC information comprises:

receiving, from a resource consumption meter disposed at the building and using the at least one computing device, resource consumption data; and

computing, using the at least one computing device, the HVAC information based on the resource consumption data.

4. The method of claim 1 , wherein selecting a first subset of the HVAC information corresponding to a first time interval characterized at least in part by a first wind speed value and selecting a second subset of the HVAC information corresponding to a second time interval characterized at least in part by a second wind speed value comprises selecting the first and second subsets of the HVAC information corresponding to the first and second time intervals being characterized by first and second internal human activity data, respectively, indicative of human activity at the building, wherein the first internal human activity data is within a threshold value of the second internal human activity data.

5. The method of claim 1 , wherein selecting a first subset of the HVAC information corresponding to a first time interval characterized at least in part by a first wind speed value and selecting a second subset of the HVAC information corresponding to a second time interval characterized at least in part by a second wind speed value comprises selecting the first and second subsets of the HVAC information corresponding to the first and second time intervals being characterized by first and second solar irradiation data, respectively, wherein the first solar irradiation data is within a threshold value of the second solar irradiation data.

6. The method of claim 1 , wherein selecting a first subset of the HVAC information corresponding to a first time interval characterized at least in part by a first wind speed value and selecting a second subset of the HVAC information corresponding to a second time interval characterized at least in part by a second wind speed value comprises selecting the first and second subsets of the HVAC information corresponding, respectively, to the first time interval being defined at a first clock interval and the second time interval being defined at a second clock interval, the first clock interval being within a threshold range of the second clock interval.

7. The method of claim 1 , wherein selecting a first subset of the HVAC information corresponding to a first time interval characterized at least in part by a first wind speed value comprises selecting a first subset of the HVAC information in which the first wind speed value is at least 50% of a maximum wind speed value measured throughout a past period of time.

8. The method of claim 1 , wherein selecting a first subset of the HVAC information corresponding to a first time interval characterized at least in part by a first wind speed value comprises selecting a first subset of the HVAC information in which an average wind speed exceeds a first wind speed threshold.

9. The method of claim 8 , wherein selecting a second subset of the HVAC information corresponding to a second time interval characterized at least in part by a second wind speed value comprises selecting a second subset of the HVAC information in which an average wind speed is less than a second wind speed threshold, the second wind speed threshold being less than the first wind speed threshold.

10. The method of claim 1 , wherein selecting a second subset of the HVAC information corresponding to a second time interval characterized at least in part by a second wind speed value comprises selecting a second subset of the HVAC information in which the second wind speed value is less than 10% of a maximum wind speed value measured throughout a past period of time.

11. The method of claim 1 , wherein computing, using the at least one computing device and based on the first and second subsets of the HVAC information, the air leakage parameter comprises computing an ACH50 parameter, and wherein determining, based on the air leakage parameter, suitability of the building for the retrofit opportunity comprises determining, based on the ACH50 parameter, suitability of the building for the retrofit opportunity.

12. An apparatus comprising:

at least processor; and

at least one storage medium having encoded thereon executable instructions that, when executed by the at least one processor, cause the at least one processor to perform a method comprising:

obtaining, from an electronic meter of the building, heating, ventilation and air conditioning (HVAC) information indicative of HVAC runtime at a building;

selecting a first subset of the HVAC information corresponding to a set of first time intervals characterized at least in part by a first wind speed value;

selecting a second subset of the HVAC information by matching each time interval within the first set of time intervals with a corresponding second time interval characterized at least in part by a second wind speed value less than the first wind speed value, wherein each second time interval has a start or end timestamp that satisfies a threshold in relation to a start or end timestamp of each first time interval, wherein the first and second wind speed values represent information relating to wind speed during the first and second time intervals, respectively, each second time interval having at least one outdoor weather parameter and indoor weather parameter that satisfies a similarity threshold when compared with corresponding outdoor and indoor weather parameters of a corresponding first time interval;

computing, based on the first and second subsets of the HVAC information and a stack effect parameter, an air leakage parameter indicative of an air leakage of the building, wherein the stack effect parameter is calculated based on a relationship to a wind effect parameter;

computing at least one confidence interval for one or more thermal characteristics of the building comprising at least one of a value indicative of a thermal insulation or a value indicative of a heating, ventilation and air conditioning (HVAC) efficiency;

executing a computer model to calculate an estimated one or more thermal characteristics of the building, wherein the computer model identifies possible values of the estimated one or more thermal characteristics of the building in accordance with the at least one confidence interval;

simulating a set of retrofit opportunity scenarios to determine determining, based on the air leakage parameter, suitability of the building for a retrofit opportunity to improve energy efficiency of the building, wherein for each retrofit opportunity scenario the processor calculates one or more simulated air leakage parameters and the one or more simulated thermal characteristics for the building and compares the simulated air leakage parameters with the computed air leakage of the building; and

generating and transmitting an electronic notification to an electronic device associated with the building, the notification comprising at least one recommendation corresponding to at least one simulated retrofit opportunity to improve energy efficiency of the building by modifying at least the air leakage of the building.

13. The apparatus of claim 12 , wherein obtaining the HVAC information comprises:

receiving, from a communicating thermostat disposed at the building, temperature data indicative of a temperature at the building; and

computing the HVAC information based on the temperature data.

14. The apparatus of claim 12 , wherein obtaining the HVAC information comprises:

receiving resource consumption data from a resource consumption meter disposed at the building; and

computing the HVAC information based on the resource consumption data.

15. The apparatus of claim 12 , wherein selecting a first subset of the HVAC information corresponding to a first time interval characterized at least in part by a first wind speed value and selecting a second subset of the HVAC information corresponding to a second time interval characterized at least in part by a second wind speed value comprises selecting the first and second subsets of the HVAC information corresponding to the first and second time intervals being characterized by first and second internal human activity data, respectively, indicative of human activity at the building, wherein the first internal human activity data is within a threshold value of the second internal human activity data.

16. The apparatus of claim 12 , wherein selecting a first subset of the HVAC information corresponding to a first time interval characterized at least in part by a first wind speed value and selecting a second subset of the HVAC information corresponding to a second time interval characterized at least in part by a second wind speed value comprises selecting the first and second subsets of the HVAC information corresponding to the first and second time intervals being characterized by first and second solar irradiation data, respectively, wherein the first solar irradiation data is within a threshold value of the second solar irradiation data.

17. The apparatus of claim 12 , wherein selecting a first subset of the HVAC information corresponding to a first time interval characterized at least in part by a first wind speed value and selecting a second subset of the HVAC information corresponding to a second time interval characterized at least in part by a second wind speed value comprises selecting the first and second subsets of the HVAC information corresponding, respectively, to the first time interval being defined at a first clock interval and the second time interval being defined at a second clock interval, the first clock interval being within a threshold range of the second clock interval.

18. The apparatus of claim 12 , wherein selecting a first subset of the HVAC information corresponding to a first time interval characterized at least in part by a first wind speed value comprises selecting a first subset of the HVAC information in which the first wind speed value is at least 50% of a maximum wind speed value measured throughout a past period of time.