Building envelope and interior grading systems and methods

• US 10,352,783 B2
• Filed: 05/06/2015
• Issued: 07/16/2019
• Est. Priority Date: 05/07/2014
• Status: Active Grant

• Current Assignee: Copeland Corporation LLC (Emerson Electric Company)
• Original Assignee: Emerson Climate Technologies Incorporated (Emerson Electric Company)
• Inventors: Alsaleem, Fadi Mohammad
• Primary Examiner(s): Satanovsky, Alexander
• Assistant Examiner(s): Crohn, Mark I
• Application Number:
  US14/705,317
• Publication Number:
  US 20150323394A1
• Time in Patent Office: 1,532 Days
• CPC Class Codes: G01K 13/00 Thermometers specially adapted for specific purposes
• CPC Class Codes: G01K 17/20 across a radiating surface, combined with ascertainment of the heat transmission coefficient materials therefor G01K17/08

Abstract

A difference module determines differences between an outdoor ambient temperature and an indoor temperature, determines a first average of the differences, and determines a second average of the differences. A storing module stores a first data point, the first data point including the first average and a first total run time of a heating, ventilation, and/or air conditioning (HVAC) system, and stores a second data point, the second data point including the second average and a second total run time of the HVAC system. A fitting module fits a line to the first and second data points. An envelope grading module generates a grade for an exterior envelope of a building based on a first characteristic of the line. An interior grading module generates a grade for an interior of the building based on a second characteristic of the line. A reporting module generates a displayable report for the building including the grade of the exterior envelope and the grade of the interior of the building.

Claims

1. A grading system for a building, comprising:

one or more processors;

memory including instructions that, when executed by the one or more processors, cause the one or more processors to;

receive, from sensors of a building over a network, indoor temperatures of the building and outdoor ambient temperatures at the building;

determine differences between the outdoor ambient temperatures of the building and the indoor temperatures within the building;

determine a first average of the differences of a first day;

determine a second average of the differences of a second day;

store a first data point for the first day, the first data point including the first average and a first total run time of a heating, ventilation, and/or air conditioning (HVAC) system of the building during the first day;

store a second data point for the second day, the second data point including the second average and a second total run time of the HVAC system of the building during the second day;

fit a line to the first and second data points;

determine a slope of the line;

generate a first grade for an exterior envelope of the building based on the slope of the line;

based on the line, determine a third total run time of the HVAC system where a third average of the differences is equal to zero;

based on the third total run time where the third average of the differences is equal to zero, generate a second grade for internal thermal loads within the building, thermal deficiencies within the building, and deficiencies of the HVAC system of the building;

generate a displayable report for the building including the first grade of the exterior envelope of the building and the second grade; and

transmit the displayable report to a user computing device associated with the building.

2. The grading system of claim 1 wherein the instructions include instructions that, when executed by the one or more processors, further cause the one or more processors to normalize the slope of the line to produce a normalized slope, and

wherein the instructions include instructions that, when executed by the one or more processors, cause the one or more processors to generate the first grade of the exterior envelope of the building based on the normalized slope of the line.

3. The grading system of claim 2 wherein the instructions include instructions that, when executed by the one or more processors, cause the one or more processors to set the first grade of the exterior envelope of the building based on 100 minus the normalized slope.

4. The grading system of claim 3 wherein the instructions include instructions that, when executed by the one or more processors, cause the one or more processors to set the normalized slope equal to the slope of the line multiplied by a predetermined gain value and by 100.

5. The grading system of claim 1 wherein the instructions include instructions that, when executed by the one or more processors, further cause the one or more processors to normalize the third total run time to produce a normalized value, and

wherein the instructions include instructions that, when executed by the one or more processors, cause the one or more processors to generate the second grade based on the normalized value.

6. The grading system of claim 5 wherein the instructions include instructions that, when executed by the one or more processors, cause the one or more processors to set the second grade based on 100 minus the normalized value.

7. The grading system of claim 5 wherein the instructions include instructions that, when executed by the one or more processors, cause the one or more processors to normalize the third total run time based on a 24 hour day to produce the normalized value.

8. The grading system of claim 7 wherein the instructions include instructions that, when executed by the one or more processors, cause the one or more processors to set the normalized value equal to the third total run time divided by 24 hours and multiply a result of the division by 100.

9. The grading system of claim 1 wherein the instructions include instructions that, when executed by the one or more processors, cause the one or more processors to fit the line to the first and second data points using linear least squares line fitting.

10. The grading system of claim 1 wherein the instructions include instructions that, when executed by the one or more processors, cause the one or more processors to:

store data points for each day, each data point for a day and including an average of the differences of the day and a total run time of the HVAC system of the building during the day; and

fit the line to all of the data points of a predetermined period; and

the predetermined period includes one of a month, a season, and a predetermined number of days.

11. A grading method for a building, comprising:

by one or more processors, receiving, from sensors of a building over a network, indoor temperatures of the building and outdoor ambient temperatures at the building;

by the one or more processors, determining differences between the outdoor ambient temperatures of the building and the indoor temperatures within the building;

by the one or more processors, determining a first average of the differences of a first day;

by the one or more processors, determining a second average of the differences of a second day;

by the one or more processors, storing a first data point for the first day, the first data point including the first average and a first total run time of a heating, ventilation, and/or air conditioning (HVAC) system of the building during the first day;

by the one or more processors, storing a second data point for the second day, the second data point including the second average and a second total run time of the HVAC system of the building during the second day;

by the one or more processors, fitting a line to the first and second data points;

by the one or more processors, determining a slope of the line;

by the one or more processors, generating a first grade for an exterior envelope of the building based on the slope of the line;

by the one or more processors, based on the line, determining a third total run time of the HVAC system where a third average of the differences is equal to zero;

by the one or more processors, based on the third total run time where the third average of the differences is equal to zero, generating a second grade for internal thermal loads within the building, thermal deficiencies within the building, and deficiencies of the HVAC system of the building;

by the one or more processors, generating a report for the building including the first grade of the exterior envelope of the building and the second grade; and

by the one or more processors, transmitting the displayable report to a user computing device associated with the building.

12. The grading method of claim 11 further comprising:

normalizing the slope of the line to produce a normalized slope,

wherein generating the first grade of the exterior envelope includes generating the first grade of the exterior envelope of the building based on the normalized slope of the line.

13. The grading method of claim 12 wherein generating the first grade of the exterior envelope includes setting the first grade of the exterior envelope of the building based on 100 minus the normalized slope.

14. The grading method of claim 11 further comprising:

normalizing the third total run time to produce a normalized value,

wherein generating the second grade includes generating the second grade based on the normalized value.

15. The grading method of claim 14 wherein generating the second grade includes setting the second grade based on 100 minus the normalized value.

16. The grading method of claim 14 further comprising normalizing the third total run time based on a 24 hour day to produce the normalized value.

17. The grading method of claim 11 wherein fitting the line includes fitting the line to the first and second data points using linear least squares line fitting.

18. The grading method of claim 11 further comprising:

storing data points for each day, each data point for a day and including an average of the differences of the day and a total run time of the HVAC system of the building during the day,

wherein fitting the line includes fitting the line to all of the data points of a predetermined period,

wherein the predetermined period includes one of a month, a season, and a predetermined number of days.