Determination of optimal energy storage methods at electric customer service points

• US 10,817,789 B2
• Filed: 06/09/2015
• Issued: 10/27/2020
• Est. Priority Date: 06/09/2015
• Status: Active Grant

• Current Assignee: Opower, Inc. (Oracle Corporation)
• Original Assignee: Opower, Inc. (Oracle Corporation)
• Inventors: Fischer, Barry
• Primary Examiner(s): Sitiriche, Luis A
• Application Number:
  US14/734,919
• Publication Number:
  US 20160364646A1
• Time in Patent Office: 1,967 Days
• CPC Class Codes: B60L 53/30 Constructional details of charging stations
• CPC Class Codes: B60L 53/305 Communication interfaces
• CPC Class Codes: B60L 53/50 Charging stations characterised by energy-storage or power-generation means
• CPC Class Codes: B60L 53/51 Photovoltaic means
• CPC Class Codes: B60L 53/52 Wind-driven generators
• CPC Class Codes: B60L 53/64 Optimising energy costs, e.g. responding to electricity rates
• CPC Class Codes: B60L 53/665 Methods related to measuring, billing or payment
• CPC Class Codes: B60L 55/00 Arrangements for supplying energy stored within a vehicle to a power network, i.e. vehicle-to-grid [V2G] arrangements
• CPC Class Codes: G06N 5/04 Inference or reasoning models
• CPC Class Codes: G06Q 10/0631 Resource planning, allocation, distributing or scheduling for enterprises or organisations
• CPC Class Codes: G06Q 50/06 Energy or water supply
• CPC Class Codes: H02J 13/00002 characterised by monitoring
• CPC Class Codes: H02J 13/00022 using wireless data transmission
• CPC Class Codes: H02J 2203/20 Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
• CPC Class Codes: H02J 2300/22 The renewable source being solar energy
• CPC Class Codes: H02J 2300/24 of photovoltaic origin
• CPC Class Codes: H02J 3/0012 Contingency detection
• CPC Class Codes: H02J 3/32 using batteries with converting means
• CPC Class Codes: H02J 3/38 Arrangements for parallely feeding a single network by two or more generators, converters or transformers
• CPC Class Codes: H02J 3/381 Dispersed generators
• CPC Class Codes: Y02E 10/56 : Power conversion systems, e.g. maximum power point trackers
• CPC Class Codes: Y02E 40/70 : Smart grids as climate change mitigation technology in the energy generation sector
• CPC Class Codes: Y02E 60/00 : Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
• CPC Class Codes: Y02E 70/30 : Systems combining energy storage with energy generation of non-fossil origin
• CPC Class Codes: Y02T 10/70 : Energy storage systems for electromobility, e.g. batteries
• CPC Class Codes: Y02T 10/7072 : Electromobility specific charging systems or methods for batteries, ultracapacitors, supercapacitors or double-layer capacitors
• CPC Class Codes: Y02T 90/12 : Electric charging stations
• CPC Class Codes: Y02T 90/16 : Information or communication technologies improving the operation of electric vehicles
• CPC Class Codes: Y02T 90/167 : Systems integrating technologies related to power network operation and communication or information technologies for supporting the interoperability of electric or hybrid vehicles, i.e. smartgrids as interface for battery charging of electric vehicles [EV] or hybrid vehicles [HEV]
• CPC Class Codes: Y04S 10/123 : the energy generation units being or involving renewable energy sources
• CPC Class Codes: Y04S 10/126 : the energy generation units being or involving electric vehicles [EV] or hybrid vehicles [HEV], i.e. power aggregation of EV or HEV, vehicle to grid arrangements [V2G]
• CPC Class Codes: Y04S 10/14 : Energy storage units
• CPC Class Codes: Y04S 10/50 : Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
• CPC Class Codes: Y04S 30/14 : Details associated with the interoperability, e.g. vehicle recognition, authentication, identification or billing
• CPC Class Codes: Y04S 40/126 : using wireless data transmission
• CPC Class Codes: Y04S 40/20 : Information technology specific aspects, e.g. CAD, simulation, modelling, system security

Abstract

Aspects of the subject technology relate to methods and systems for recommending an energy storage device. In some aspects, a method of the subject technology can include steps for aggregating consumption data for a customer, receiving energy production data for each of a plurality of energy production sources, and determining a utilization efficiency score for each of the plurality of energy storage devices based on the consumption data and the energy production data. In some aspects, methods of the subject technology can also include steps for ranking two or more of the energy storage devices based on the utilization efficiency. In some aspects, machine-readable media are also provided.

Claims

1. A data integrator comprising:

a memory for storing computer-executable instructions;

a processor configured to execute the instructions from the memory, wherein the instructions when executed by the processor cause the processor to;

aggregate consumption data for a consumption location associated with a customer, wherein the consumption data comprises information regarding usage of a consumable resource by the consumption location;

receive energy production data for one or more energy production sources associated with the consumption location;

determine a utilization efficiency score for each type of a plurality of types of energy storage device based on the consumption data and the energy production data, wherein the utilization efficiency score for each type of energy storage device quantifies tradeoffs between cost and efficiency of that type for the consumption location, wherein the plurality of types of energy storage device include more than one of battery, water heating, water chilling or freezing, building heating, and building cooling devices; and

rank two or more of the plurality of types of energy storage device in order of the quantification based on the utilization efficiency to indicate a recommended type of energy storage device for installation at the consumption location.

2. The data integrator of claim 1, wherein the processors are further configured to execute instructions comprising:

providing a notification to the customer based on the utilization efficiency score for at least one of plurality of energy storage devices, wherein the notification comprises an energy storage recommendation based on the ranking of the two or more of the types of energy storage device.

3. The data integrator of claim 1, wherein the processors are further configured to execute instructions comprising:

receiving location data for the consumption location, wherein the location data comprises information identifying a geographic region or geographic location associated with the consumption location; and

receiving weather data associated with the geographic region or geographic location, and wherein the utilization efficiency score is further based the location data and the weather data.

4. The data integrator of claim 3, wherein the location data further comprises information regarding physical building constraints or building characteristics for the consumption location.

5. The data integrator of claim 1, wherein the consumption data further comprises end-use information indicating one or more ways in which the consumable resource is utilized by the consumption location.

6. The data integrator of claim 1, further comprising:

receiving resource provider information from a provider of the consumable resource, wherein the resource provider information indicates a preferred energy storage medium from among the plurality of types of energy storage device, and

wherein determining the utilization efficiency score is further based on the resource provider information.

7. A computer-implemented method comprising:

receiving, by a communications network, consumption data for a consumption location associated with a customer, wherein the consumption data comprises information regarding usage of a consumable resource by the consumption location;

receiving, by the communications network, energy production data for one or more energy production sources associated with the consumption location;

determining, by a processor, a utilization efficiency score for each of a plurality of types of energy storage device based on the consumption data, wherein the utilization efficiency score for each type of energy storage device quantifies tradeoffs between cost and efficiency of that type for the consumption location, wherein the plurality of types of energy storage device include more than one of battery, water heating, water chilling or freezing, building heating, and building cooling devices;

ranking, by the processor, two or more of the plurality of types of energy storage device in order of the quantification based on the utilization efficiency; and

controlling, by the processor, a display to show a recommended type of energy storage device for installation at the consumption location, wherein the recommendation is based at least in part on the ranking.

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

receiving, by the communications network, energy production data for one or more energy production sources.

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

providing, by the processor, a notification to the customer based on the utilization efficiency score for at least one of plurality of energy storage devices, and

wherein the notification comprises an energy storage recommendation based on the ranking of the two or more of the energy storage devices.

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

receiving, by the communications network, location data for the consumption location, wherein the location data comprises information identifying a geographic region or geographic location associated with the consumption location; and

receiving, via the communications network, weather data associated with the geographic region or geographic location, and wherein the utilization efficiency score is further based the location data and the weather data.

11. The computer-implemented method of claim 10, wherein the location data further comprises information regarding physical building constraints or building characteristics for the consumption location.

12. The computer-implemented method of claim 7, wherein the consumption data further comprises end-use information indicating one or more ways in which the consumable resource is utilized by the consumption location.

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

receiving, by the communication network, resource provider information from a provider of the consumable resource, wherein the resource provider information indicates a preferred energy storage medium from among the plurality of types of energy storage device, and

wherein determining the utilization efficiency score is further based on the resource provider information.

14. The computer-implemented method of claim 7, further comprising determining an amount of investment cost that the customer is likely to be willing to absorb based on demographic information received over the communications network and associated with the customer, wherein the recommendation is further based at least in part on the investment cost amount.

15. A non-transitory computer-readable storage device comprising instructions stored therein, which when executed by one or more processors, cause the processors to perform operations comprising:

receiving, through a communication network, consumption data for a consumption location associated with a customer, wherein the consumption data comprises information regarding usage of a consumable resource by the consumption location;

receiving, through the communications network, energy production data for one or more energy production sources associated with the consumption location;

determining a utilization efficiency score for each of a plurality of types of energy storage device based on the consumption data, wherein the utilization efficiency score for each type of energy storage device quantifies tradeoffs between cost and efficiency of that type for the consumption location, wherein the plurality of types of energy storage device include more than one of battery, water heating, water chilling or freezing, building heating, and building cooling devices; and

controlling a display to show a ranking of two or more of the energy storage device types in order of the quantification based on the utilization efficiency to indicate a recommended type of energy storage device for installation at the consumption location.

16. The non-transitory computer-readable storage medium of claim 15, wherein the processors are further configured to perform operations comprising:

determining energy production amounts for each of a plurality of energy production sources.

17. The non-transitory computer-readable storage medium of claim 15, further comprising:

receiving, via the communication network, location data for the consumption location, wherein the location data comprises information identifying a geographic region or geographic location associated with the consumption location; and

receiving, via the communications network, weather data associated with the geographic region or geographic location,

and wherein the utilization efficiency score is further based the location data and the weather data.

18. The non-transitory computer-readable storage medium of claim 17, wherein the location data further comprises information regarding physical building constraints for the consumption location.

19. The non-transitory computer-readable storage medium of claim 17, wherein the location data further comprises information regarding building characteristics for the consumption location.

20. The non-transitory computer-readable storage medium of claim 15, wherein the consumption data further comprises end-use information indicating one or more ways in which the consumable resource is utilized by the consumption location.