System and method for energy management using linear programming

• US 10,337,424 B2
• Filed: 01/25/2017
• Issued: 07/02/2019
• Est. Priority Date: 12/02/2014
• Status: Active Grant

• Current Assignee: Electronic Power Design, Inc
• Original Assignee: Electronic Power Design, Inc
• Inventors: Janik, John Bradford
• Primary Examiner(s): Dager, Jonathan M
• Application Number:
  US15/415,797
• Publication Number:
  US 20170234250A1
• Time in Patent Office: 888 Days
• Field of Search: None
• CPC Class Codes: B63B 2021/505 Methods for installation or mooring of floating offshore platforms on site
• CPC Class Codes: B63B 21/50 Anchoring arrangements or methods for special vessels, e.g. for floating drilling platforms or dredgers
• CPC Class Codes: B63H 2021/202 of hybrid electric type
• CPC Class Codes: E21B 41/0085 Adaptations of electric power generating means for use in boreholes
• CPC Class Codes: F02D 2200/1002 Output torque
• CPC Class Codes: F02D 25/00 Controlling two or more co-operating engines
• CPC Class Codes: F02D 29/06 peculiar to engines driving electric generators
• CPC Class Codes: F02D 41/0025 Controlling engines characterised by use of non-liquid fuels, pluralities of fuels, or non-fuel substances added to the combustible mixtures
• CPC Class Codes: F02D 41/0027 the fuel being gaseous non-electrical control F02D19/02
• CPC Class Codes: F02D 41/26 using computer, e.g. microprocessor
• CPC Class Codes: G05B 15/02 electric
• CPC Class Codes: H02J 3/32 using batteries with converting means
• CPC Class Codes: H02J 3/46 Controlling of the sharing of output between the generators, converters, or transformers
• CPC Class Codes: Y02T 70/5218 Less carbon-intensive fuels, e.g. natural gas, biofuels
• CPC Class Codes: Y02T 70/5236 Renewable or hybrid-electric solutions

Abstract

A system is disclosed including but not limited to a processor; a hybrid power source for servicing a system load, the hybrid power source comprising a natural gas engine, a diesel engine and a battery; a linear computer program comprising, instructions determining a current system load serviced by power provided from the hybrid power source; instructions to determine a current operating state for the natural gas engine, the diesel engine and the battery; instructions to use linear programming to determine a new operating state for the natural gas engine, the diesel engine and the battery to reduce for power consumption servicing the current system load the natural gas engine, the diesel engine and the battery; and instructions to replace the current operating state for the natural gas engine, the diesel engine and the battery to the new operating state for the natural gas engine, the diesel engine and the battery.

Claims

1. A system comprising:

a processor in data communication with a non-transitory computer readable medium;

a hybrid power source for servicing a system load, the hybrid power source comprising a natural gas engine, a diesel engine and a battery;

a computer program comprising instructions stored in the non-transitory computer readable medium that are executed by the processor, the computer program comprising,

instructions determining a current system load serviced by power provided from the hybrid power source;

instructions to determine a current operating state for the natural gas engine, the diesel engine and the battery;

instructions to determine a new operating state for the natural gas engine, the diesel engine and the battery to reduce power consumption servicing the current system load the natural gas engine, the diesel engine and the battery; and

instructions to replace the current operating state for the natural gas engine, the diesel engine and the battery to the new operating state for the natural gas engine, the diesel engine and the battery.

2. The system of claim 1, wherein the operating state comprises a load on the diesel engine, speed of the diesel engine and air fuel mixture supplied to the diesel engine, wherein the operating state further comprises torque of the diesel engine.

3. The system of claim 1, wherein the operating state comprises a load on the natural gas engine, speed of the natural gas engine and air fuel mixture supplied to the natural gas engine, wherein the operating state further comprises torque of the natural gas engine.

4. The system of claim 1, wherein the operating state comprises a load on the battery.

5. The system of claim 1, wherein the computer program is a linear program.

6. The system of claim 1, wherein the computer program is an expert system.

7. The system of claim 1, wherein the computer program is a neural network.

8. A method comprising:

determining using a computer program a current system load serviced by power provided from a hybrid power source for servicing a system load, the hybrid power source comprising a natural gas engine, a diesel engine and a battery;

determining a current operating state for the natural gas engine, the diesel engine and the battery;

determining a new operating state for the natural gas engine, the diesel engine and the battery to reduce for power consumption servicing the current system load the natural gas engine, the diesel engine and the battery; and

replacing the current operating state for the natural gas engine, the diesel engine and the battery to the new operating state for the natural gas engine, the diesel engine and the battery.

9. The method of claim 8, wherein the operating state comprises a load on the diesel engine, speed of the diesel engine and air fuel mixture supplied to the diesel engine, wherein the operating state further comprises torque of the diesel engine.

10. The method of claim 8, wherein the operating state comprises a load on the natural gas engine, speed of the natural gas engine and air fuel mixture supplied to the natural gas engine, wherein the operating state further comprises torque of the natural gas engine.

11. The method of claim 8, wherein the operating state comprises a load on the battery.

12. The method of claim 8, wherein the computer program is a linear program.

13. The method of claim 8, wherein the computer program is an expert system.

14. The method of claim 8, wherein the computer program is a neural network.

15. A computer readable medium contain instructions that are executed

a processor in data communication with a non-transitory computer readable medium to control a hybrid power source for servicing a system load, the hybrid power source comprising a natural gas engine, a diesel engine and a battery, the computer program comprising instructions stored in the non-transitory computer readable medium that are executed by the processor, the computer program comprising,

instructions to cause the load processor to determine a current system load serviced by power provided from the hybrid power source;

instructions for the processor to determine a current operating state for the natural gas engine, the diesel engine and the battery;

instructions for the processor to determine a new operating state for the natural gas engine, the diesel engine and the battery to reduce power consumption servicing the current system load the natural gas engine, the diesel engine and the battery; and

instructions for the processor to replace the current operating state for the natural gas engine, the diesel engine and the battery to the new operating state for the natural gas engine, the diesel engine and the battery.

16. The medium of claim 15, wherein the operating state comprises a load on the diesel engine, speed of the diesel engine and air fuel mixture supplied to the diesel engine, wherein the operating state further comprises torque of the diesel engine.

17. The medium of claim 15, wherein the operating state comprises a load on the natural gas engine, speed of the natural gas engine and air fuel mixture supplied to the natural gas engine, wherein the operating state further comprises torque of the natural gas engine.

18. The medium of claim 15, wherein the operating state comprises a load on the battery.

19. The medium of claim 15, wherein the computer program is a linear program.

20. The medium of claim 15, wherein the computer program is an expert system.