STATISTICAL DETERMINATION OF SOLAR SYSTEM PERFORMANCE

• US 20160142009A1
• Filed: 04/02/2015
• Published: 05/19/2016
• Est. Priority Date: 11/14/2014
• Status: Abandoned Application

• Current Assignee: Opower, Inc. (Oracle Corporation)
• Original Assignee: Opower, Inc. (Oracle Corporation)
• Inventors: Fischer, Barry
• Application Number:
  US14/677,654
• Publication Number:
  US 20160142009A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: H02S 50/00 Monitoring or testing of PV systems, e.g. load balancing or fault identification
• CPC Class Codes: Y02E 10/50 Photovoltaic [PV] energy

Abstract

Power utilities may not have systematic visibility of the actual performance of customers'"'"' solar arrays. One solution to getting data on solar system performance may be through using monitoring hardware and/or software that is connected to a solar system. However, utility companies may not have access to such data since the monitoring hardware/software is commonly owned and operated by utility customers themselves and/or private solar contractors. The subject technology provide methods and systems that can be used to determine a “maximum solar production” baseline, e.g., on a daily basis in view of a set of conditions or factors. In some aspects, the maximum solar production baseline is determined by identifying similar days with “maximum solar potential” but that do not correlate with maximum production. In an example, asymmetry or a delta between maximum potential and maximum production can be used to identify underperformance of power production relative to maximum potential.

Claims

1. A computer-implemented method for determining solar cell performance:

determining a baseline maximum output for one or more solar arrays, the one or more solar arrays associated with at least one location corresponding to a customer of electricity service;

monitoring one or more electricity consumption characteristics of the at least one location associated with the one or more solar arrays to determine if electricity outputs for the one or more solar arrays are below the baseline maximum output, the electricity outputs including a net value of a difference between electricity usage and electricity production by the one or more solar arrays at the at least one location;

determining that at least one of the one or more solar arrays is underperforming with respect to electricity production if the electricity outputs for the at least one of the one or more solar arrays is below the baseline maximum output; and

providing an alert to the customer, the alert indicating that at least one of the one or more solar arrays is underperforming with respect to electricity production based at least in part on the baseline maximum output.

2. The computer-implemented method of claim 1, further comprising:

determining one or more values measuring electricity usage at specified intervals over a time period;

determining one or more values measuring electricity output generated by at least one solar array at the specified intervals over the time period; and

for each value measured at each specified interval over the time period, determining a difference value between one value of electricity usage and one value of electricity output; and

determining a peak output value based at least in part on a greatest difference value selected from each of the difference values determined for each value measured at each specified interval over the time period.

3. The computer-implemented method of claim 2, further comprising:

generating a graphical representation of a respective usage curve based at least in part on the difference, for each value measured at each specified interval over the time period, between one value of electricity usage and one value of electricity output.

4. The computer-implemented method of claim 2, wherein the time period is a day and each of the specified intervals are respective hours in the day.

5. The computer-implemented method of claim 1, wherein determining the baseline output further comprises:

identifying one or more days with maximum solar potential for the one or more solar arrays, each of the one or more days not correlating with a maximum production of electricity outputs for the one or more solar arrays.

6. The computer-implemented method of claim 1, wherein monitoring one or more electricity consumption characteristics associated with each of the one or more solar arrays is based on at least one of a time of day, surface or air temperature data, geographic orientation of the one or more solar arrays, or information indicating that the customer is not at home or not awake.

7. The computer-implemented method of claim 1, wherein determining that at least one of the one or more solar arrays is underperforming further comprises:

determining a difference in electricity output between the baseline maximum output and the electricity output of the one or more solar arrays;

determining whether the difference in electricity output exceeds a threshold value, the threshold value based at least in part on a current physical state of the one or more solar arrays; and

indicating that at least one solar array is underperforming responsive to the difference in electricity output exceeding the threshold value.

8. The computer-implemented method of claim 7, further comprising:

providing a notification to the customer that at least one solar array is underperforming.

9. The computer-implemented method of claim 7, wherein the difference in electricity output is caused at least in part by debris covering at least one of the one or more solar arrays.

10. A computing device, the computing device comprising:

at least one processor; and

memory storing instructions that, when executed by the at least one processor, cause the computing device to;

determine a baseline maximum output for one or more solar arrays, the one or more solar arrays associated with at least one location corresponding to a customer of electricity service;

monitor one or more electricity consumption characteristics of the at least one location associated with the one or more solar arrays to determine if electricity outputs for the one or more solar arrays are below the baseline maximum output;

determine that at least one of the one or more solar arrays is underperforming with respect to electricity production if the electricity outputs for the at least one of the one or more solar arrays is below the baseline maximum output; and

provide an alert to the customer, the alert indicating that at least one of the one or more solar arrays is underperforming with respect to electricity production based at least in part on the baseline maximum output.

11. The computing device of claim 10, wherein the instructions further cause the at least one processor to:

determine one or more values measuring electricity usage at specified intervals over a time period;

determine one or more values measuring electricity output generated by at least one solar array at the specified intervals over the time period; and

for each value measured at each specified interval over the time period, determine a difference value between one value of electricity usage and one value of electricity output; and

determine a peak output value based at least in part on a greatest difference value selected from each of the difference values determined for each value measured at each specified interval over the time period.

12. The computing device of claim 11, wherein the instructions further cause the at least one processor to:

generate a graphical representation of a respective usage curve based at least in part on the difference, for each value measured at each specified interval over the time period, between one value of electricity usage and one value of electricity output.

13. The computing device of claim 11, wherein the time period is a day and each of the specified intervals are respective hours in the day and wherein the electricity outputs include a net value of a difference between electricity usage and electricity production by the one or more solar arrays at the at least one location.

14. The computing device of claim 10, wherein the instructions further cause the at least one processor to:

identify one or more days with maximum solar potential for the one or more solar arrays, each of the one or more days not correlating with a maximum production of electricity outputs for the one or more solar arrays.

15. The computing device of claim 10, wherein to monitor one or more electricity consumption characteristics associated with each of the one or more solar arrays is based on at least one of a time of day, surface or air temperature data, geographic orientation of the one or more solar arrays, or information indicating that the customer is not at home or not awake.

16. The computing device of claim 10, wherein the instructions further cause the at least one processor to:

determine a difference in electricity output between the baseline maximum output and the electricity output of the one or more solar arrays;

determine whether the difference in electricity output exceeds a threshold value, the threshold value based at least in part on a current physical state of the one or more solar arrays; and

indicate that at least one solar array is underperforming responsive to the difference in electricity output exceeding the threshold value.

17. The computing device of claim 16, wherein the instructions further cause the at least one processor to:

provide a notification to the customer that at least one solar array is underperforming.

18. The computing device of claim 16, wherein the difference in electricity output is caused at least in part by debris covering at least one of the one or more solar arrays.

19. A non-transitory computer readable storage medium storing instructions on a computing device, the instructions when executed by a processor causing the processor to:

determine a baseline maximum output for one or more solar arrays, the one or more solar arrays associated with at least one location corresponding to a customer of electricity service;

monitor one or more electricity consumption characteristics of the at least one location associated with the one or more solar arrays to determine if electricity outputs for the one or more solar arrays are below the baseline maximum output;

determine that at least one of the one or more solar arrays is underperforming with respect to electricity production if the electricity outputs for the at least one of the one or more solar arrays is below the baseline maximum output; and

provide an alert to the customer, the alert indicating that at least one of the one or more solar arrays is underperforming with respect to electricity production based at least in part on the baseline maximum output.

20. The non-transitory computer readable storage medium of claim 19, wherein the instructions further cause the processor to:

identify one or more days with maximum solar potential for the one or more solar arrays, each of the one or more days not correlating with a maximum production of electricity outputs for the one or more solar arrays.