SYSTEMS ARCHITECTURE FOR CONTROLLING ONSITE AND OFFSITE ENERGY SOURCES

• US 20190137553A1
• Filed: 11/08/2017
• Published: 05/09/2019
• Est. Priority Date: 11/08/2017
• Status: Active Grant

• Current Assignee: Mastercard International Incorporated (MasterCard Incorporated)
• Original Assignee: Mastercard International Incorporated (MasterCard Incorporated)
• Inventors: Mehrhoff, Shawn, Scholl, Christopher T.
• Granted Patent: US 10,641,803 B2
• Time in Patent Office: Days
• CPC Class Codes: G01R 22/063 related to remote communication
• CPC Class Codes: G01R 22/10 using digital techniques
• CPC Class Codes: G06F 13/38 Information transfer, e.g. on bus G06F13/14 takes precedence
• CPC Class Codes: G06F 17/40 Data acquisition and logging for input to computer G06F3/00
• CPC Class Codes: Y02D 10/00 Energy efficient computing, e.g. low power processors, power management or thermal management

Abstract

A power calculating (PC) computing device comprising a processor and a memory in communication with the processor, the processor programmed to retrieve power supply data from a renewable energy device, wherein the power supply data includes at least one measurement associated with renewable power generation, retrieve power status data from an accumulator, retrieve power demand data from a power monitor device associated with an electrical device, retrieve utility status data from a utility data provider, generate aggregate power data based on the power supply data, the power status data, and the power demand data, and calculate a power cost metric based on the aggregate power data and the utility status data.

Claims

1. A power calculating (PC) computing device comprising a processor and a memory in communication with the processor, the processor programmed to:

retrieve power supply data from a renewable energy device, wherein the power supply data includes at least one measurement associated with renewable power generation;

retrieve power status data from an accumulator, wherein the power status data includes at least one storage measurement of accumulated power and at least one rate of change measurement of the accumulated power;

retrieve power demand data from a power monitor device, the power demand data including a power demand rate, wherein the power demand data is associated with at least one energy consuming electrical device;

retrieve utility status data from a utility data provider, the utility status data including a power cost rate, the utility status data retrieved based on the power demand data;

generate aggregate power data based on the power supply data, the power status data, and the power demand data; and

calculate a power cost metric based on the aggregate power data and the utility status data.

2. The PC computing device of claim 1, wherein the power cost metric includes a calculated power cost associated with the at least one energy consuming electrical device.

3. The PC computing device of claim 1, wherein the processor is further programed to:

determine whether the calculated power cost metric matches a power rule stored in the memory, wherein the power rule includes a notification threshold and a device identifier; and

transmit a user notification to a user computing device associated with the device identifier when the calculated power cost metric matches the power rule, the user notification including at least the power cost metric.

4. The PC computing device of claim 3, wherein the processor is further programed to:

generate a power control instruction based on the power rule and the power demand data, wherein the power control instruction is configured to limit the operation of at least one energy consuming electrical device; and

transmit the power control instruction to the at least one energy consuming electrical device.

5. The PC computing device of claim 1, wherein retrieving power status data from the accumulator includes querying a MQTT channel associated with the accumulator.

6. The PC computing device of claim 1, wherein retrieving power demand data from the power monitor includes transmitting a HTTP API request to the power monitor.

7. The PC computing device of claim 1, wherein the power cost metric further includes a source comparison metric, based on the power supply data.

8. A computer-implemented method for calculating energy consumption, the method implemented using a power calculating (PC) computing device including a processor and a memory in communication with the processor, wherein the method comprises:

retrieving power supply data from a renewable energy device, wherein the power supply data includes at least one measurement associated with renewable power generation;

retrieving power status data from an accumulator, wherein the power status data includes at least one storage measurement of accumulated power and at least one rate of change measurement of the accumulated power;

retrieving power demand data from a power monitor device, the power demand data including a power demand rate, wherein the power demand data is associated with at least one energy consuming electrical device;

retrieving utility status data from a utility data provider, the utility status data including a power cost rate, the utility status data retrieved based on the power demand data;

generating, by the PC computing device, aggregate power data based on the power supply data, the power status data, and the power demand data; and

calculating, by the PC computing device, a power cost metric based on the aggregate power data and the utility status data.

9. The method of claim 8, wherein the power cost metric includes a calculated power cost associated with the at least one energy consuming electrical device.

10. The method claim 8, further comprising:

determining whether the calculated power cost metric matches a power rule stored in the memory, wherein the power rule includes a notification threshold and a device identifier; and

transmitting, by the PC computing device, a user notification to a user computing device associated with the device identifier when the calculated power cost metric matches the power rule, the user notification including at least the power cost metric.

11. The method of claim 10, further comprising:

generating a power control instruction based on the power rule and the power demand data, wherein the power control instruction is configured to limit the operation of at least one energy consuming electrical device; and

transmitting the power control instruction to the at least one energy consuming electrical device.

12. The method of claim 8, wherein retrieving power status data from the accumulator includes querying a MQTT channel associated with the accumulator.

13. The method of claim 8, wherein retrieving power demand data from the power monitor includes transmitting a HTTP API request to the power monitor.

14. The method of claim 8, wherein the power cost metric further includes a source comparison metric, based on the power supply data.

15. A non-transitory computer readable medium that includes computer executable instructions for calculating energy consumption, wherein when executed by a power calculating (PC) device having a processor and a memory in communication with the processor, the computer executable instructions cause the PC device to:

retrieve power supply data from a renewable energy device, wherein the power supply data includes at least one measurement associated with renewable power generation;

retrieve power status data from an accumulator, wherein the power status data includes at least one storage measurement of accumulated power and at least one rate of change measurement of the accumulated power;

retrieve power demand data from a power monitor device, the power demand data including a power demand rate, wherein the power demand data is associated with at least one energy consuming electrical device;

retrieve utility status data from a utility data provider, the utility status data including a power cost rate, the utility status data retrieved based on the power demand data;

generate aggregate power data based on the power supply data, the power status data, and the power demand data; and

calculate a power cost metric based on the aggregate power data and the utility status data.

16. The non-transitory computer readable medium of claim 15, wherein the power cost metric includes a calculated power cost associated with the at least one energy consuming electrical device.

17. The non-transitory computer readable medium of claim 15, the computer executable instructions further causing the PC computing device to:

determine whether the calculated power cost metric matches a power rule stored in the memory, wherein the power rule includes a notification threshold and a device identifier; and

transmit a user notification to a user computing device associated with the device identifier when the calculated power cost metric matches the power rule, the user notification including at least the power cost metric.

18. The non-transitory computer readable medium of claim 17, the computer executable instructions further causing the PC computing device to:

generate a power control instruction based on the power rule and the power demand data, wherein the power control instruction is configured to limit the operation of at least one energy consuming electrical device; and

transmit the power control instruction to the at least one energy consuming electrical device.

19. The non-transitory computer readable medium of claim 15, wherein retrieving power status data from the accumulator includes querying a MQTT channel associated with the accumulator.

20. The non-transitory computer readable medium of claim 15, wherein retrieving power demand data from the power monitor includes transmitting a HTTP API request to the power monitor.

21. The non-transitory computer readable medium of claim 15, wherein the power cost metric further includes a source comparison metric, based on the power supply data.