Energy optimization system

• US 8,600,571 B2
• Filed: 06/19/2008
• Issued: 12/03/2013
• Est. Priority Date: 06/19/2008
• Status: Active Grant

• Current Assignee: Honeywell International Inc.
• Original Assignee: Honeywell International Inc.
• Inventors: Dillon, Jim, Blagus, Ronald, Parr, Stephen, Iyer, Venkat, Houghton, Alan
• Primary Examiner(s): VON BUHR, MARIA N
• Application Number:
  US12/142,528
• Publication Number:
  US 20090319090A1
• Time in Patent Office: 1,993 Days
• Field of Search: 700/286, 700/291, 700295-297, 323/299, 323/304, 705/7.29, 705/7.31, 705/412
• US Class Current: 700/291
• 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: Y02A 30/00 Adapting or protecting infrastructure or their operation
• 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

A system for optimizing a usage of energy based on cost, carbon footprint, and/or other criteria. The usage may be optimized for the next day or more. The optimization may deal with renewable energy, grid energy and stored energy. Various inputs may be considered for optimization, which could include energy costs, weather forecasts, characteristics of renewable energy, the load and storage, and other items. The optimizer may use equipment models with numerical transfer functions to take inputs and provide optimized estimates for the next day or so of energy usage. The outputs of the models may go to an optimization algorithms module for providing an output based on the inputs. The output may provide control information for the selection and amounts of the different types of energy in a scheduled manner.

Claims

1. An energy optimization system for optimizing energy use by a facility and/or a building, the system comprising:

an energy storage device having at least one energy storage characteristic;

an optimizer;

an energy cost forecaster connected to the optimizer, the energy cost forecaster configured to provide forecast rate information about energy received from different energy sources for a particular duration; and

a load forecaster connected to the optimizer, wherein the load forecaster forecasts the load of the facility and/or the building, at least in part, using a weather forecast for an area near the facility and/or the building;

a first mechanism for moving energy between a renewable energy source, an electrical grid, a facility and/or building load and the energy storage device;

a second mechanism for moving energy between the electrical grid, the energy storage device and the facility and/or building load; and

wherein the optimizer is for coordinating the movement of energy through one or more lines by controlling the first mechanism to move amounts and kinds of energy between the renewable energy source, the electrical grid, the energy storage device and the load and for controlling the second mechanism to move amounts and kinds of energy between the electrical grid, the energy storage device and the facility and/or building load and wherein the optimizer controls the first mechanism and the second mechanism based on a criterion or criteria including the at least one energy storage characteristic of the energy storage device, the forecast rate information, and the forecast load of the facility and/or building.

2. The system of claim 1, wherein:

the optimizer has a control connection to the renewable energy source.

3. The system of claim 2, further comprising:

a conventional energy source connected to the electrical grid; and

wherein the optimizer has a control connection to the conventional energy source.

4. The system of claim 3, wherein:

the optimizer has a control connection to the energy storage component; and

the criterion or criteria comprise cost, carbon footprint, or a combination of cost or footprint.

5. The system of claim 1, wherein the energy storage component is controlled by the optimizer.

6. The system of claim 5, wherein:

the electrical grid includes at least one conventional energy source;

the energy cost forecaster is for forecasting a rate of cost for conventional energy and a rate of cost for renewable energy; and

the load forecaster is for forecasting an amount of load.

7. The system of claim 6, wherein:

the optimizer is for controlling an amount of renewable energy to be used, an amount of conventional energy to be used, and/or an amount of energy to be stored, in order to provide an amount of energy to be used for the load at the criterion or criteria; and

the criterion or criteria comprise cost or a footprint, or a combination of cost and footprint.

8. The system of claim 7, wherein the amount of energy to be used for the load is for a given duration of time.

9. The system of claim 8, wherein:

the criterion is cost; and

an optimized criterion is a minimum cost of energy to be used for the given duration of time for the load.

10. The system of claim 9, wherein the amount of load forecasted is based on occupancy forecast of the facility and/or building and characteristics of the load.

11. An energy optimizer system comprising:

an energy storage device having an energy storage characteristic;

a junction for receiving energy from two or more energy sources including a conventional energy source and a renewable energy source, wherein the energy sources are capable of providing energy to the load and/or the energy storage device;

an optimizer;

an energy cost forecaster connected to the optimizer, the energy cost forecaster configured to provide forecast rate information about energy received from different energy sources for a duration up to 48 hours into the future;

a load forecaster connected to the optimizer; and

wherein the optimizer has an output for indicating amounts of energy from the two or more energy sources needed for a forecasted load at a magnitude of at least one criterion for a certain duration of time and an output for indicating amounts of energy from the energy storage device to be delivered to an electrical grid connected to the junction, wherein the energy delivered to the electrical grid corresponds to the same at least one criterion for the certain duration of time, and wherein the at least one criterion includes the energy storage characteristic.

12. The system of claim 11, further comprising:

a control mechanism connected to the output of the optimizer and to the two or more energy sources; and

wherein the control mechanism is for controlling the amounts of energy from the two or more energy sources, as indicated by the output of the optimizer, to a load.

13. The system of claim 11, wherein the output of the optimizer is further for indicating an amount of energy to be added or removed from a storage component for the forecasted load at a magnitude of at least one criterion for a certain duration of time.

14. The system of claim 13, further comprising a control mechanism connected to the output of the optimizer, the two or more energy sources and the storage component.

15. The system of claim 14, wherein:

at least one criterion is cost; and

a best magnitude of the at least one criterion is lowest cost.

16. The system of claim 14, wherein:

at least one criterion is .a footprint; and

a best magnitude of the criterion is a smallest footprint.

17. A method for optimizing energy usage comprising:

forecasting a cost of a first energy;

forecasting a cost of a second energy;

forecasting a cost of a third energy associated with an energy storage device having at least one energy storage characteristic, wherein forecasting the cost of the third energy includes forecasting the cost of energy delivered to the load from the energy storage device, forecasting the cost of energy delivered to an electrical grid from the energy storage device, and forecasting the cost of the first energy and/or the second energy delivered to the energy storage device;

forecasting an amount of load; and

optimizing a first amount of the first energy, a second amount of the second energy, and third amount of the third energy for the amount of load using the at least one energy storage characteristic to obtain a least magnitude of a criterion of energy usage.

18. The method of claim 17, further comprising storing energy in the energy storage device to obtain the least magnitude of the criterion of energy usage.

19. The method of claim 18 wherein:

the first energy is a renewable energy;

the second energy is a conventional energy; and

the criterion is cost.

20. The method of claim 18, wherein:

the first energy is a renewable energy;

the second energy is a conventional energy; and

the criterion is carbon footprint.

21. The method of claim 17, further comprising delivering energy to the electrical grid from the energy storage device to obtain the least magnitude of the criterion of energy usage.