US-12627157-B2 - Multi-site optimization of energy systems

US12627157B2US 12627157 B2US12627157 B2US 12627157B2US-12627157-B2

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

Mana M. Alowaidh
Abdulrahman M. Hazazi
Solomon C. Oji

Assignees

SAUDI ARABIAN OIL COMPANY

Dates

Publication Date: 20260512
Application Date: 20230707

Claims (20)

1 . An industrial plant comprising a computer system managing a plurality of energy systems located in a plurality of facilities, the computer system being configured to perform operations comprising: for each energy system of the plurality of energy systems at each facility of the plurality of facilities: receiving, from one or more sensors a respective power generation equipment included in a respective energy system, equipment operating parameters; performing equipment level data validation for the respective power generation equipment by processing the equipment operating parameters relative to an operational status of the respective power generation equipment, to generate validated equipment level data; performing equipment level data reconciliation for the respective power generation equipment by processing the validated equipment level data relative to acceptable equipment level ranges, to generate reconciled equipment level data; and performing site-level optimization, using the reconciled equipment level data, to determine calibrated equipment operating parameters for the 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; and updating, by activating equipment switches, operational states of one or more power generation equipment for optimizing, based on the site-level constraints and the multi-site constraints, the calibrated equipment operating parameters for the respective power generation equipment across the plurality of energy systems.
2 . The industrial plant of claim 1 , wherein the industrial plant comprises a power generation plant, and a renewable energy plant.
3 . The industrial plant 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 respective power generation equipment for each energy system.
4 . The industrial plant 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 . The industrial plant of claim 1 , wherein performing equipment level data validation for the 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 . The industrial plant of claim 1 , wherein optimizing, based on the site-level constraints and the multi-site constraints, the equipment operating parameters for the 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 respective power generation equipment.
7 . The industrial plant of claim 1 , wherein the equipment operating parameters comprise cogeneration load management and boilers load management.
8 . The industrial plant of claim 1 , wherein the operations further comprise: displaying, via a user interface, the equipment operating parameters on a display device; and displaying, via the user interface, benefits associated with the equipment operating parameters on the display device.
9 . A computer system for an industrial plant, the computer system managing a plurality of energy systems located in a plurality of facilities, the computer system comprising: one or more processors configured to perform operations comprising: for each energy system of the plurality of energy systems at each facility of the plurality of facilities: receiving, from one or more sensors a respective power generation equipment included in a respective energy system, equipment operating parameters; performing equipment level data validation for the respective power generation equipment by processing the equipment operating parameters relative to an operational status of the respective power generation equipment, to generate validated equipment level data; performing equipment level data reconciliation for the respective power generation equipment by processing the validated equipment level data relative to acceptable equipment level ranges, to generate reconciled equipment level data; and performing site-level optimization, using the reconciled equipment level data, to determine calibrated equipment operating parameters for the 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; and updating, by activating equipment switches, operational states of one or more power generation equipment for optimizing, based on the site-level constraints and the multi-site constraints, the calibrated equipment operating parameters for the respective power generation equipment across the plurality of energy systems.
10 . The computer system of claim 9 , wherein the plurality of energy systems comprise an industrial plant, a power generation plant, and a renewable energy plant.
11 . The computer system 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 system, and equipment limitations of the respective power generation equipment for each energy system.
12 . The computer system 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 systems, an emission reduction target across the plurality of energy systems, and a minimum efficiency across the plurality of energy systems.
13 . The computer system of claim 9 , wherein performing equipment level data validation for the 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 . The computer system of claim 9 , wherein optimizing, based on the site-level constraints and the multi-site constraints, the equipment operating parameters for the 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 respective power generation equipment.
15 . The computer system of claim 9 , wherein the equipment operating parameters comprise cogeneration load management and boilers load management.
16 . The computer system of claim 9 , the operations further comprising: displaying, via a user interface, the equipment operating parameters on a display device; and displaying, via the user interface, benefits associated with the equipment operating parameters on the display device.
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 respective power generation equipment, cause the one or more computers to perform operations comprising: for each energy system of the plurality of energy systems at each facility of the plurality of facilities: receiving, from one or more sensors a respective power generation equipment included in a respective energy system, equipment operating parameters; performing equipment level data validation for the respective power generation equipment by processing the equipment operating parameters relative to an operational status of the respective power generation equipment, to generate validated equipment level data; performing equipment level data reconciliation for the respective power generation equipment by processing the validated equipment level data relative to acceptable equipment level ranges, to generate reconciled equipment level data; and performing site-level optimization, using the reconciled equipment level data, to determine calibrated equipment operating parameters for the 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; and updating, by activating equipment switches, operational states of one or more power generation equipment for optimizing, based on the site-level constraints and the multi-site constraints, the calibrated equipment operating parameters for the respective power generation equipment across the plurality of energy systems.
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 . 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 respective power generation equipment for each energy system.
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

TECHNICAL FIELD 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 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 This disclosure describes computer-implemented methods, computer-readable media and computer systems that can optimize operation of industrial steam and power utility systems. 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; 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. 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. In some implementations, the plurality of energy systems include an industrial plant, a power generation plant, and a renewable energy plant. 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. 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. 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. In some implementations, optimizing, based on the site-level constraints and the multi-site constraints, the equipment operating parameters for the plurality 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. In some implementations, the operating parameters include cogeneration load management and boilers load management. In some implementations, the method further involves 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. The details of one or more embodiments of these systems and methods are set forth in the accompanying drawings and description below. Other features, objects, and advantages of these systems and methods