METHODS FOR OPTIMIZING AN ANALYSIS OF ENERGY CONSUMPTION TO REDUCE COST AND DEVICES THEREOF

• US 20150142195A1
• Filed: 11/13/2014
• Published: 05/21/2015
• Est. Priority Date: 11/15/2013
• Status: Active Grant

• Current Assignee: Sabreez, LLC
• Original Assignee: Sabreez, LLC
• Inventors: Hoppe, William Scott
• Granted Patent: US 9,851,701 B2
• Time in Patent Office: Days
• US Class Current: 700/291
• CPC Class Codes: G05B 13/02 electric
• CPC Class Codes: G05B 15/00 Systems controlled by a computer G05B13/00, G05B19/00 take precedence; automatic controllers with particular characteristics G05B11/00
• 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
• CPC Class Codes: H04L 67/10 in which an application is distributed across nodes in the network software deployment G06F8/60; multiprogramming arrangements G06F9/46

Abstract

A method, energy usage analysis device, and non-transitory computer readable medium that obtain an amount of energy generated from wind resources and thermal resources at a plurality of intervals over a specified time period. An amount of energy consumed by a user at each of the intervals is obtained. An energy source wind number value is generated for each of the intervals based on the respective amount of energy generated from the wind resources and the thermal resources. An energy consumption wind number value is generated for each of the intervals based on the respective energy source wind number value and the respective amount of energy consumed by the user. An overall wind number value is generated for the specified time period based on the energy consumption wind number values and the amount of energy consumed at each of the intervals. The overall wind number value is output.

Claims

1. A method for optimizing an analysis of energy consumption, the method comprising:

obtaining, by an energy usage analysis device, energy source data comprising at least an amount of energy generated from one or more wind resources and one or more thermal resources at each of a plurality of intervals over a specified time period;

obtaining, by the energy usage analysis device, an amount of energy consumed by a user at each of the intervals over the specified time period;

generating, by the energy usage analysis device, for each of the intervals, an energy source wind number value based on the respective amount of energy generated from the wind resources and the thermal resources;

generating, by the energy usage analysis device, for each of the intervals, an energy consumption wind number value based on the respective energy source wind number value and the respective amount of energy consumed by the user;

generating, by the energy usage analysis device, an overall wind number value for the specified time period based on the energy consumption wind number values and the amount of energy consumed by the user at each of the intervals over the specified time period; and

outputting, by the energy usage analysis device, the overall wind number value.

2. The method of claim 1, wherein the amount of energy consumed by the user is obtained using an application programming interface from a utility from which the user obtains energy.

3. The method of claim 1, wherein the outputting further comprises outputting a comparison of a historical overall wind number value previously generated for the user for a period of time corresponding to the specified time period.

4. The method of claim 1, wherein:

the energy source wind number values are further generated based on a ratio of the respective amount of energy generated from the wind resources and the thermal resources;

the energy consumption wind number values are further generated based on a product of the respective energy source wind number values and the respective amount of energy consumed by the user; and

the overall wind number value is further generated based on a ratio of a sum of the energy consumption wind number values and a sum of the energy consumed by the user at each of the intervals over the specified time period.

5. The method of claim 1, wherein the specified time period is one billing period.

6. The method of claim 1, further comprising:

receiving, by the energy usage analysis device, a request from the user for an energy consumption analysis, the request comprising information associated with the user, wherein the amount of energy consumed by the user is obtained using the information associated with the user; and

storing, by the energy usage analysis device, the overall wind number value as associated with at least a portion of the information associated with the user.

7. The method of claim 1, further comprising:

receiving, by the energy usage analysis device, a request from the user for an energy analysis comparison, the request comprising one or more energy consumer attributes;

obtaining, by the energy usage analysis device, one or more other overall wind numbers each associated with another user based on the energy consumer attributes; and

outputting, by the energy usage analysis device, the other overall wind numbers in response to the request.

8. An energy usage analysis device, comprising a processor and a memory coupled to the processor which is configured to be capable of executing programmed instructions comprising and stored in the memory to:

obtain energy source data comprising at least an amount of energy generated from one or more wind resources and one or more thermal resources at each of a plurality of intervals over a specified time period;

obtain an amount of energy consumed by a user at each of the intervals over the specified time period;

generate for each of the intervals, an energy source wind number value based on the respective amount of energy generated from the wind resources and the thermal resources;

generate for each of the intervals, an energy consumption wind number value based on the respective energy source wind number value and the respective amount of energy consumed by the user;

generate an overall wind number value for the specified time period based on the energy consumption wind number values and the amount of energy consumed by the user at each of the intervals over the specified time period; and

output the overall wind number value.

9. The energy usage analysis device of claim 8, wherein the amount of energy consumed by the user is obtained using an application programming interface from a utility from which the user obtains energy.

10. The energy usage analysis device of claim 8, wherein the processor coupled to the memory is further configured to be capable of executing at least one additional programmed instruction comprising and stored in the memory to output a comparison of a historical overall wind number value previously generated for the user for a period of time corresponding to the specified time period.

11. The energy usage analysis device of claim 8, wherein:

the energy source wind number values are further generated based on a ratio of the respective amount of energy generated from the wind resources and the thermal resources;

the energy consumption wind number values are further generated based on a product of the respective energy source wind number values and the respective amount of energy consumed by the user; and

the overall wind number value is further generated based on a ratio of a sum of the energy consumption wind number values and a sum of the energy consumed by the user at each of the intervals over the specified time period.

12. The energy usage analysis device of claim 8, wherein the specified time period is one billing period.

13. The energy usage analysis device of claim 8, wherein the processor coupled to the memory is further configured to be capable of executing at additional programmed instructions comprising and stored in the memory to:

receive a request from the user for an energy consumption analysis, the request comprising information associated with the user, wherein the amount of energy consumed by the user is obtained using the information associated with the user; and

store the overall wind number value as associated with at least a portion of the information associated with the user.

14. The energy usage analysis device of claim 8, wherein the processor coupled to the memory is further configured to be capable of executing at additional programmed instructions comprising and stored in the memory to:

receive a request from the user for an energy analysis comparison, the request comprising one or more energy consumer attributes;

obtain one or more other overall wind numbers each associated with another user based on the one or more energy consumer attributes; and

output the other overall wind numbers in response to the request.

15. A non-transitory computer readable medium having stored thereon instructions for optimizing an analysis of energy consumption comprising executable code which when executed by a processor, causes the processor to perform steps comprising:

obtaining energy source data comprising at least an amount of energy generated from one or more wind resources and one or more thermal resources at each of a plurality of intervals over a specified time period;

obtaining an amount of energy consumed by a user at each of the intervals over the specified time period;

generating for each of the intervals, an energy source wind number value based on the respective amount of energy generated from the wind resources and the thermal resources;

generating for each of the intervals, an energy consumption wind number value based on the respective energy source wind number value and the respective amount of energy consumed by the user;

generating an overall wind number value for the specified time period based on the energy consumption wind number values and the amount of energy consumed by the user at each of the intervals over the specified time period; and

outputting the overall wind number value.

16. The non-transitory computer readable medium of claim 15, wherein the amount of energy consumed by the user is obtained using an application programming interface from a utility from which the user obtains energy.

17. The non-transitory computer readable medium of claim 15, wherein the outputting further comprises outputting a comparison of a historical overall wind number value previously generated for the user for a period of time corresponding to the specified time period.

18. The non-transitory computer readable medium of claim 15, wherein:

the energy source wind number values are further generated based on a ratio of the respective amount of energy generated from the wind resources and the thermal resources;

the energy consumption wind number values are further generated based on a product of the respective energy source wind number values and the respective amount of energy consumed by the user; and

the overall wind number value is further generated based on a ratio of a sum of the energy consumption wind number values and a sum of the energy consumed by the user at each of the intervals over the specified time period.

19. The non-transitory computer readable medium of claim 15, wherein the specified time period is one billing period.

20. The non-transitory computer readable medium of claim 15, wherein the executable code when executed by the processor further causes the processor to perform steps further comprising:

receiving a request from the user for an energy consumption analysis, the request comprising information associated with the user, wherein the amount of energy consumed by the user is obtained using the information associated with the user; and

storing the overall wind number value as associated with at least a portion of the information associated with the user.

21. The non-transitory computer readable medium of claim 15, wherein the executable code when executed by the processor further causes the processor to perform steps further comprising:

receiving a request from the user for an energy analysis comparison, the request comprising one or more energy consumer attributes;

obtaining one or more other overall wind numbers each associated with another user based on the one or more energy consumer attributes; and

outputting the other overall wind numbers in response to the request.