SYSTEMS AND METHODS FOR ENERGY COST OPTIMIZATION

• US 20150378381A1
• Filed: 06/30/2014
• Published: 12/31/2015
• Est. Priority Date: 06/30/2014
• Status: Abandoned Application

• Current Assignee: Qualcomm, Inc.
• Original Assignee: Qualcomm, Inc.
• Inventors: Tinnakornsrisuphap, Peerapol, Attar, Rashid Ahmed Akbar, Chen, Shengbo
• Application Number:
  US14/320,631
• Publication Number:
  US 20150378381A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: F24F 11/30 for purposes related to the operation of the system, e.g. for safety or monitoring
• CPC Class Codes: F24F 11/47 Responding to energy costs
• CPC Class Codes: G05B 15/02 electric
• CPC Class Codes: G05F 1/66 Regulating electric power
• 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 10/067 Enterprise or organisation modelling
• CPC Class Codes: G06Q 50/06 Energy or water supply
• CPC Class Codes: Y02E 40/70 Smart grids as climate change mitigation technology in the energy generation sector
• 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

Abstract

Energy-related devices such as heating, ventilation, and air conditioning (HVAC) units, electric vehicle charging platforms, and solar panels are becoming increasingly networkable within a home or business environment. Furthermore, utility providers are offering flexible pricing schemes that adjust the cost of energy over time based on overall demand, and the energy pricing data is made publically available. Provided are exemplary techniques that utilize this pricing data as well as exploit various synergies between the networked energy-related devices to develop automated and cost-effective energy control solutions.

Claims

1. A method for controlling a local energy system of devices, the devices comprising a generator and a shiftable load, the method comprising:

establishing respective electronic communications between an energy controller and the generator as well as between the energy controller and the shiftable load;

receiving, at the energy controller, first operational state information from the generator;

receiving, at the energy controller, second operational state information from the shiftable load;

determining, by the energy controller, a time-variable marginal cost of energy; and

controlling, by the energy controller, the shiftable load based, at least in part, on the first operational state information and the time-variable marginal cost of energy, to optimize, at least partially, operational cost of the total energy consumed by the local energy system.

2. The method of claim 1, wherein the determining of the time-variable marginal cost of energy comprises receiving, by the energy controller, energy pricing data from an external server.

3. The method of claim 1, wherein the determining of the time-variable marginal cost of energy comprises searching, by the energy controller, a pricing schedule associated with a time-of-use pricing scheme.

4. The method of claim 1, further comprising:

receiving, by the energy controller, weather forecast data from an external server.

5. The method of claim 4, wherein the controlling of the shiftable load is based, at least in part, on the weather forecast data.

6. The method of claim 1, wherein the shiftable load comprises an electric vehicle that is connected to the local energy system.

7. The method of claim 6, further comprising:

controlling, by the energy controller, an operational state of the electric vehicle to promote overlap with a generation period when the generator provides energy.

8. The method of claim 6, further comprising:

determining, by the energy controller, the time-variable marginal cost of energy over a time period extending to a future instant in time;

determining, by the energy controller, a net charge required by the electric vehicle during the time period; and

determining, by the energy controller, a charging schedule for delivering the net charge to the electric vehicle over the time period using a water-filling algorithm, such that potential time periods with comparatively lower marginal costs are selected as charging periods for the charging schedule.

9. The method of claim 8, wherein the net charge required by the electric vehicle is determined, at least in part, by a user schedule.

10. The method of claim 9, wherein the user schedule is determined, at least in part, by location information.

11. The method of claim 6, wherein the controlling of the shiftable load comprises controlling an adjustable charging rate of the electric vehicle for a time period.

12. The method of claim 11 wherein the adjustable charging rate of the electric vehicle for the time period is based, at least in part, on a difference between the time-variable marginal cost of energy during the time period and a price threshold.

13. The method of claim 1, wherein the shiftable load comprises a heating, ventilation, and air conditioning (HVAC) unit.

14. The method of claim 13, further comprising:

controlling, by the energy controller, the HVAC unit based, at least in part, on a user schedule,

wherein the user schedule is determined, at least in part, by location information.

15. The method of claim 1, wherein the shiftable load is activated at a start time for a predetermined duration.

16. The method of claim 15, wherein the controlling of the shiftable load comprises controlling the start time based, at least in part, on a calculated cost of energy associated the shiftable load being activated during the start time for the predetermined duration.

17. The method of claim 1, wherein a rate of energy delivered to the first shiftable load is varied based, at least in part, on the time-variable marginal cost of energy.

18. The method of claim 17, wherein the rate of energy is proportional to a difference between the time-variable marginal cost of energy and a price threshold.

19. The method of claim 1, wherein the local energy system further comprises an energy storage device, and the method further comprises:

receiving, at the energy controller, third operational state information from the energy storage device; and

controlling, by the energy controller, the energy storage device based, at least in part, on the first operational state information and the time-variable marginal cost of energy, to optimize, at least partially, the operational cost of the total energy consumed by the local energy system.

20. The method of claim 1, wherein the shiftable load comprises a first shiftable load and a second shiftable load, and wherein the method further comprises:

receiving, at the energy controller, fourth operational state information from the second shiftable load; and

controlling, by the energy controller, an operational state of the second shiftable load to limit overlap with a consumption period of the first shiftable load and to promote overlap with a generation period when the generator provides energy.

21. A method for controlling a local energy system of devices, the devices comprising a generator and an electric vehicle, the method comprising:

establishing respective electronic communications between an energy controller and the generator as well as between the energy controller and the electric vehicle;

receiving, at the energy controller, first operational state information from the generator;

receiving, at the energy controller, second operational state information from the electric vehicle;

determining, by the energy controller, a time-variable marginal cost of energy; and

controlling, by the energy controller, charging of the electric vehicle based, at least in part, on the first operational state information and the time-variable marginal cost of energy, to optimize, at least partially, operational cost of the total energy consumed by the local energy system.

22. The method of claim 21, wherein the controlling of the charging of the electric vehicle is adjusted to promote overlap with a generation period when the generator provides energy.

23. The method of claim 21, further comprising:

determining, by the energy controller, the time-variable marginal cost of energy over a time period extending to a future instant in time;

determining, by the energy controller, a net charge required by the electric vehicle during the time period; and

determining, by the energy controller, a charging schedule for delivering the net charge to the electric vehicle over the time period using a water-filling algorithm, such that potential time periods with comparatively lower marginal costs are selected as charging periods for the charging schedule.

24. The method of claim 23, wherein the net charge required by the electric vehicle is determined, at least in part, by a user schedule.

25. The method of claim 24, wherein the user schedule is determined, at least in part, by location information.

26. The method of claim 25, wherein the charging of the electric vehicle comprises controlling an adjustable charging rate of the electric vehicle for a time period.

27. A method for controlling a local energy system of devices, the devices comprising a generator and a heating, ventilation, and air conditioning (HVAC) unit, the method comprising:

establishing respective electronic communications between an energy controller and the generator as well as between the energy controller and the HVAC unit;

receiving, at the energy controller, first operational state information from the generator;

receiving, at the energy controller, second operational state information from the HVAC unit;

determining, by the energy controller, a time-variable marginal cost of energy; and

controlling, by the energy controller, the HVAC unit based, at least in part, on the first operational state information and the time-variable marginal cost of energy, to optimize, at least partially, operational cost of the total energy consumed by the local energy system.

28. The method of claim 27, further comprising:

controlling, by the energy controller, the HVAC unit based, at least in part, on a user schedule.

29. The method of claim 27, further comprising:

determining, by the energy controller, upper and lower temperature thresholds over a time period extending to a future instant in time;

determining, by the energy controller, the time-variable marginal cost of energy over the time period; and

determining, by the energy controller, a temperature schedule for controlling the HVAC unit to maintain an indoor temperature above the lower temperature threshold and below the upper temperature threshold over the time period, while optimizing, at least partially, the operational cost of the total energy consumed by the local energy system.

30. A method for controlling a local energy system of devices, the devices comprising a generator, a shiftable load, and an energy storage device, the method comprising:

establishing respective electronic communications between an energy controller and the generator, between the energy controller and the shiftable load, and between the energy controller and the energy storage device;

receiving, at the energy controller, first operational state information from the generator;

receiving, at the energy controller, second operational state information from the shiftable load;

receiving, at the energy controller, third operational state information from the energy storage device;

determining, by the energy controller, a time-variable marginal cost of energy; and

controlling, by the energy controller, both the shiftable load and the energy storage device based, at least in part, on the first operational state information and the time-variable marginal cost of energy, to optimize, at least partially, operational cost of the total energy consumed by the local energy system.

31. A method for controlling a local energy system of devices, the devices comprising a generator, a first shiftable load, and a second shiftable load, the method comprising:

establishing respective electronic communications between an energy controller and the generator as well as between the energy controller and both of the first and second shiftable loads;

receiving, at the energy controller, first operational state information from the generator;

receiving, at the energy controller, second operational state information from the first shiftable load;

receiving, at the energy controller, fourth operational state information from the second shiftable load;

determining, by the energy controller, a time-variable marginal cost of energy; and

controlling, by the energy controller, both the first and second shiftable loads based, at least in part, on the first operational state information and the time-variable marginal cost of energy, to optimize, at least partially, operational cost of the total energy consumed by the local energy system.

32. The method of claim 31, wherein the controlling of both the first and second shiftable loads comprises limiting overlap between a first consumption period of the first shiftable load when the first shiftable load consumes energy and a second consumption period of the second shiftable load when the second shiftable load consumes energy.