EP-4740153-A1 - MULTI-SITE OPTIMIZATION OF ENERGY SYSTEMS

Abstract

This disclosure describes methods and systems for optimizing operation of industrial steam and power utility systems across multiple facilities. A method involves: for each energy system at each facility: (a) performing equipment level data validation for the plurality of respective power generation equipment, (b) performing equipment level data reconciliation for the plurality of respective power generation equipment, (c) performing site-level optimization to determine equipment operating parameters for the plurality of respective power generation equipment; determining: (i) site-level constraints for the plurality of energy systems, and (ii) multi-site constraints across the plurality of energy systems; optimizing, based on the site-level constraints and the multi-site constraints, the equipment operating parameters for the plurality of respective power generation equipment across the plurality of energy systems.

Inventors

• ALOWAIDH, MANA M.
• HAZAZI, Abdulrahman M.
• OJI, Solomon C.

Assignees

• Saudi Arabian Oil Company

Dates

Publication Date

20260513

Application Date

20240702

Claims (20)

1. 1. A method to be performed by a computer system managing a plurality of energy systems located in multiple facilities, the plurality of energy systems comprising a plurality of respective power generation equipment, and the method comprising: for each energy system at each facility: performing equipment level data validation for the plurality of respective power generation equipment; performing equipment level data reconciliation for the plurality of respective power generation equipment; and performing site-level optimization to determine equipment operating parameters for the plurality' of respective power generation equipment; determining: (i) site-level constraints for the plurality of energy systems, and (ii) multi-site constraints across the plurality of energy systems; optimizing, based on the site-level constraints and the multi-site constraints, the equipment operating parameters for the plurality of respective power generation equipment across the plurality of energy' systems.
2. 2. The method of claim 1, wherein the plurality’ of energy systems comprise an industrial plant, a power generation plant, and a renewable energy' plant.
3. 3. The method of claim 1, wherein the site-level constraints comprise energy' demands of each energy system, a respective steam reserve for each energy system, a respective minimum number of boilers needed to maintain the respective steam reserve for each energy' system, and equipment limitations of the plurality of respective power generation equipment for each energy system.
4. 4. The method of claim 1. wherein the multi-site constraints comprise a steam reserve requirement across the plurality of energy systems, a power reserve requirement across the plurality of energy' systems, an emission reduction target across the plurality' of energy systems, and a minimum efficiency across the plurality of energy systems.
5. 5. The method of claim 1, wherein performing equipment level data validation for the plurality of respective power generation equipment comprises: for each equipment of the plurality of power generation equipment: receiving, during operation of each equipment, measured operational physical parameter values output by the equipment during the operation of the equipment; determining, using the received operational physical parameter values, mass balance and energy balance parameters associated with the equipment; and validating an operation of the equipment using the determined mass balance and energy balance parameters.
6. 6. The method of claim 1, wherein optimizing, based on the site-level constraints and the multi-site constraints, the equipment operating parameters for the plurality of respective power generation equipment comprises: generating a global matrix that comprises site-level optimization results of each energy system; and using a global objective function and the global matrix of site-level optimization results to optimize the equipment operating parameters for the plurality' of respective power generation equipment.
7. 7. The method of claim 1 , wherein the operating parameters comprise cogeneration load management and boilers load management.
8. 8. The method of claim 1, further comprising: displaying, via a user interface, the operating parameters on a display device; and displaying, via the user interface, benefits associated with the operating parameters on the display device.
9. 9. One or more computer systems managing a plurality' of energy systems located in multiple facilities, the plurality' of energy systems comprising a plurality' of respective power generation equipment, and the one or more computer systems comprising: one or more processors configured to perform operations comprising: for each energy system at each facility: performing equipment level data validation for the plurality of respective power generation equipment; performing equipment level data reconciliation for the plurality of respective power generation equipment; and performing site-level optimization to determine equipment operating parameters for the plurality of respective power generation equipment; determining: (i) site-level constraints for the plurality of energy systems, and (ii) multi-site constraints across the plurality of energy systems; optimizing, based on the site-level constraints and the multi-site constraints, the equipment operating parameters for the plurality of respective power generation equipment across the plurality of energy 7 systems.
10. 10. The one or more computer systems of claim 9, wherein the plurality of energy 7 systems comprise an industrial plant, a power generation plant, and a renewable energy 7 plant.
11. 11. The one or more computer systems of claim 9, wherein the site-level constraints comprise energy demands of each energy system, a respective steam reserve for each energy system, a respective minimum number of boilers needed to maintain the respective steam reserve for each energy 7 system, and equipment limitations of the plurality 7 of respective power generation equipment for each energy system.
12. 12. The one or more computer systems of claim 9, wherein the multi-site constraints comprise a steam reserve requirement across the plurality of energy systems, a power reserve requirement across the plurality of energy 7 systems, an emission reduction target across the plurality of energy systems, and a minimum efficiency across the plurality of energy systems.
13. 13. The one or more computer systems of claim 9, wherein performing equipment level data validation for the plurality of respective power generation equipment comprises: for each equipment of the plurality of power generation equipment: receiving, during operation of each equipment, measured operational physical parameter values output by the equipment during the operation of the equipment; determining, using the received operational physical parameter values, mass balance and energy balance parameters associated with the equipment; and validating an operation of the equipment using the determined mass balance and energy balance parameters.
14. 14. The one or more computer systems of claim 9, wherein optimizing, based on the site-level constraints and the multi-site constraints, the equipment operating parameters for the plurality of respective power generation equipment comprises: generating a global matrix that comprises site-level optimization results of each energy system; and using a global objective function and the global matrix of site-level optimization results to optimize the equipment operating parameters for the plurality of respective power generation equipment.
15. 15. The one or more computer systems of claim 9, wherein the operating parameters comprise cogeneration load management and boilers load management.
16. 16. The one or more computer systems of claim 9, the operations further comprising: displaying, via a user interface, the operating parameters on a display device; and displaying, via the user interface, benefits associated with the operating parameters on the display device.
17. 17. A non-transitory computer storage medium encoded with instructions that, when executed by one or more computers managing a plurality of energy systems located in multiple facilities and comprising a plurality of respective power generation equipment, cause the one or more computers to perform operations comprising: for each energy system at each facility: performing equipment level data validation for the plurality' of respective power generation equipment; performing equipment level data reconciliation for the plurality of respective power generation equipment; and performing site-level optimization to determine equipment operating parameters for the plurality of respective power generation equipment; determining: (i) site-level constraints for the plurality of energy systems, and (ii) multi-site constraints across the plurality of energy systems; optimizing, based on the site-level constraints and the multi-site constraints, the equipment operating parameters for the plurality of respective power generation equipment across the plurality of energy systems.
18. 18. The non-transitory computer storage medium of claim 17, wherein the plurality of energy systems comprise an industrial plant, a power generation plant, and a renewable energy’ plant.
19. 19. The non-transitory computer storage medium of claim 17, wherein the site-level constraints comprise energy demands of each energy system, a respective steam reserve for each energy system, a respective minimum number of boilers needed to maintain the respective steam reserve for each energy system, and equipment limitations of the plurality of respective power generation equipment for each energy system.
20. 20. The non-transitory computer storage medium of claim 17, wherein the multi-site constraints comprise a steam reserve requirement across the plurality of energy systems, a power reserve requirement across the plurality of energy systems, an emission reduction target across the plurality of energy systems, and a minimum efficiency across the plurality' of energy’ systems.

Description

MULTI-SITE OPTIMIZATION OF ENERGY SYSTEMS CLAIM OF PRIORITY [0001] This application claims priority' to U.S. Patent Application No. 18/348,885 filed on July 7, 2023. the entire contents of which are hereby incorporated by reference. TECHNICAL FIELD [0002] This disclosure relates to computer-implemented methods, computer- readable media and computer systems implementing multi-site energy' management, particularly energy management of industrial steam, power and utility systems across multiple facilities. BACKGROUND [0003] In industrial operations, e.g., industrial steam power and utility' systems, different types of processes consume multiple steam levels, electricity and other forms of energy to obtain an output result, or to produce a required product or compound. For large-scale processes that consume significant amounts of steam, efficiencies can be achieved by optimizing the consumption of energy through careful operation, design or reconfiguration of the plant and the equipment used. Accurate and timely measurement of operational parameters of each equipment in the plant can enable such optimization. SUMMARY [0004] This disclosure describes computer-implemented methods, computer- readable media and computer systems that can optimize operation of industrial steam and power utility systems. [0005] One aspect of the subject matter described in this specification may be embodied in a method that involves for each energy system at each facility: (a) performing equipment level data validation for the plurality of respective power generation equipment, (b) performing equipment level data reconciliation for the plurality of respective power generation equipment, (c) performing site-level optimization to determine equipment operating parameters for the plurality of respective power generation equipment; determining: (i) site-level constraints for the plurality of energy systems, and (ii) multi-site constraints across the plurality' of energy' systems; i optimizing, based on the site-level constraints and the multi-site constraints, the equipment operating parameters for the plurality of respective power generation equipment across the plurality of energy systems. [0006] The previously described implementation is implementable using a computer-implemented method; a non-transitory, computer-readable medium storing computer-readable instructions to perform the computer-implemented method; and a computer system including a computer memory interoperably coupled with a hardware processor configured to perform the computer-implemented method or the instructions stored on the non-transitory, computer-readable medium. These and other embodiments may each optionally include one or more of the following features. [0007] In some implementations, the plurality of energy systems include an industrial plant, a power generation plant, and a renewable energy plant. [0008] In some implementations, the site-level constraints include energy demands of each energy system, a respective steam reserve for each energy system, a respective minimum number of boilers needed to maintain the respective steam reserve for each energy system, and equipment limitations of the plurality of respective power generation equipment for each energy system. [0009] In some implementations, the multi-site constraints include a steam reserve requirement across the plurality of energy systems, a power reserve requirement across the plurality of energy systems, an emission reduction target across the plurality of energy systems, and a minimum efficiency across the plurality of energy systems. [0010] In some implementations, performing equipment level data validation for the plurality' of respective power generation equipment involves: for each equipment of the plurality of power generation equipment: receiving, during operation of each equipment, measured operational physical parameter values output by the equipment during the operation of the equipment; determining, using the received operational physical parameter values, mass balance and energy balance parameters associated with the equipment; and validating an operation of the equipment using the determined mass balance and energy balance parameters. [0011] In some implementations, optimizing, based on the site-level constraints and the multi-site constraints, the equipment operating parameters for the plurality7 of respective power generation equipment involves generating a global matrix that comprises site-level optimization results of each energy system; and using a global objective function and the global matrix of site-level optimization results to optimize the equipment operating parameters for the plurality of respective power generation equipment. [0012] In some implementations, the operating parameters include cogeneration load management and boilers load management. [0013] In some implementations, the method further involves displaying, via a user interface, the operating parameters on a d