SYSTEM AND METHOD FOR ANALYZING ENERGY USE

• US 20120130924A1
• Filed: 11/22/2010
• Published: 05/24/2012
• Est. Priority Date: 11/22/2010
• Status: Abandoned Application

• Current Assignee: TXU Energy Retail Company LLC (Vistra Corp.)
• Original Assignee: TXU Energy Retail Company LLC (Vistra Corp.)
• Inventors: James, Patrick W.
• Application Number:
  US12/951,653
• Publication Number:
  US 20120130924A1
• Time in Patent Office: Days
• US Class Current: 705/412
• CPC Class Codes: G01W 1/10 Devices for predicting weather conditions computers per se G06; display devices G09
• CPC Class Codes: G06Q 10/04 Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem" market predictions or forecasting for commercial activities G06Q30/0202
• CPC Class Codes: G06Q 50/06 Energy or water supply

Abstract

Analyzing energy use comprises determining a location identifier associated with a site. Weather data associated with the site is determined according to the location identifier. Energy usage information associated with the site is determined. An energy metric for the site is calculated based on the weather data and the energy usage information. The energy metric comprises a selected one of a forecasted energy cost and a computed energy setting.

Claims

1. A method of analyzing energy use, comprising:

determining a location identifier associated with a site;

determining weather data associated with the site according to the location identifier;

determining energy usage information associated with the site; and

calculating an energy metric for the site based on the weather data and the energy usage information, wherein the energy metric comprises a selected one of a forecasted energy cost and a computed energy setting.

2. The method of claim 1, further comprising receiving a request to calculate the energy metric for the site.

3. The method of claim 1, wherein the weather data comprises weather information associated with a future time period.

4. The method of claim 1, wherein determining energy usage information comprises receiving the energy usage information from a client.

5. The method of claim 1, wherein the energy usage information comprises one or more of the following:

an energy billing rate,

a site size, and

criteria associated with a device at the site.

6. The method of claim 5, wherein the criteria associated with the device at the site comprises one or more of the following:

a device size;

a device age;

a device efficiency;

a device model;

a device energy source; and

a device usage history.

7. The method of claim 1, wherein the energy metric comprises a forecasted energy cost and calculating the forecasted energy cost comprises:

determining a base cost for a time period;

determining an adjustment cost for the time period, wherein the adjustment cost comprises a cost per unit deviation away from a standard setting of a device at the site; and

calculating the forecasted energy cost according to the base cost and the adjustment cost.

8. The method of claim 1, wherein the energy metric comprises a computed energy setting and calculating the computed energy setting comprises:

determining a target energy cost;

calculating the computed energy setting according to the weather data such that an estimated energy cost of the site is less than or equal to the target energy cost.

9. The method of claim 1, further comprising communicating the energy metric to a client.

10. A system for analyzing energy use, comprising a processor operable to:

determine a location identifier associated with a site;

determine weather data associated with the site according to the location identifier;

determine energy usage information associated with the site; and

calculate an energy metric for the site based on the weather data and the energy usage information, wherein the energy metric comprises a selected one of a forecasted energy cost and a computed energy setting.

11. The system of claim 10, the system further comprising a network interface operable to receive a request to calculate the energy metric for the site.

12. The system of claim 10, wherein the weather data comprises weather information associated with a future time period.

13. The system of claim 10, the system further comprising a network interface operable to receive the energy usage information from a client.

14. The system of claim 10, wherein the energy usage information comprises one or more of the following:

an energy billing rate,

a site size, and

criteria associated with a device at the site.

15. The system of claim 14, wherein the criteria associated with the device at the site comprises one or more of the following:

a device size;

a device age;

a device efficiency;

a device model;

a device energy source; and

a device usage history.

16. The system of claim 10, wherein the energy metric comprises a forecasted energy cost and the processor is further operable to:

determine a base cost for a time period;

determine an adjustment cost for the time period, wherein the adjustment cost comprises a cost per unit deviation away from a standard setting of a device at the site; and

calculate the forecasted energy cost according to the base cost and the adjustment cost.

17. The system of claim 10, wherein the energy metric comprises a computed energy setting and the processor is further operable to:

determine a target energy cost;

calculate the computed energy setting according to the weather data such that an estimated energy cost of the site is less than or equal to the target energy cost.

18. The system of claim 10, the system further comprising a network interface operable to communicate the energy metric to a client.

19. A non-transitory computer readable storage medium encoded with instructions for analyzing energy use, the instructions when executed operable to:

determine a location identifier associated with a site;

determine weather data associated with the site according to the location identifier;

determine energy usage information associated with the site; and

calculate an energy metric for the site based on the weather data and the energy usage information, wherein the energy metric comprises a selected one of a forecasted energy cost and a computed energy setting.

20. The non-transitory computer readable storage medium of claim 19, the instructions when executed further operable to facilitate receiving a request to calculate the energy metric for the site.

21. The non-transitory computer readable storage medium of claim 19, wherein the weather data comprises weather information associated with a future time period.

22. The non-transitory computer readable storage medium of claim 19, the instructions when executed further operable to facilitate receiving the energy usage information from a client.

23. The non-transitory computer readable storage medium of claim 19, wherein the energy usage information comprises one or more of the following:

an energy billing rate,

a site size, and

criteria associated with a device at the site.

24. The non-transitory computer readable storage medium of claim 23, wherein the criteria associated with the device at the site comprises one or more of the following:

a device size;

a device age;

a device efficiency;

a device model;

a device energy source; and

a device usage history.

25. The non-transitory computer readable storage medium of claim 19, wherein the energy metric comprises a forecasted energy cost and the instructions when executed further operable to:

determine a base cost for a time period;

determine an adjustment cost for the time period, wherein the adjustment cost comprises a cost per unit deviation away from a standard setting of a device at the site; and

calculate the forecasted energy cost according to the base cost and the adjustment cost.

26. The non-transitory computer readable storage medium of claim 19, wherein the energy metric comprises a computed energy setting and the instructions when executed further operable to:

determine a target energy cost;

calculate the computed energy setting according to the weather data such that an estimated energy cost of the site is less than or equal to the target energy cost.

27. The non-transitory computer readable storage medium of claim 19, the instructions when executed further operable to facilitate communicating the energy metric to a client.