IP Library › Granted Patent US 12,282,711
Granted Patent B2
US 12,282,711 · App. 17/194,596 · Granted Apr 22, 2025

System and method for modeling plant systems utilizing scalable and repeatable modules

Inventors: Shubha Sankar Mukherjee (Faridabad, IN); Borislav Dokic (Nussbaumen, CH); Prashant Agrawal (Wettingen, CH); Alessandro Sgambati (Moehlin, CH); Martin Laesser (Oberweningen, CH)
Assignee: GE Infrastructure Technology LLC
G06F30/13G06F30/17G06F2111/20G06F2113/14
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Quick Facts
Patent No.
US 12,282,711
App. No.
17/194,596
Granted
Apr 22, 2025
Kind
B2
Abstract

A modeling system for a plant system of a power plant is provided. The modeling system enables receiving a selection of one or more pre-engineered sub-modules for a plant system module, wherein each pre-engineered sub-module is configured to be scalable over a defined range both for an entire class product range and each potential power plant configuration, and each pre-engineered sub-module is parametrized within the defined range with a pre-defined parametric relationship. The modeling system enables receiving values for one or more variables for the defined range for the one or more pre-engineered sub-modules. The modeling system enables generating a pre-engineered and parametrized sub-module model for each of the one or more pre-engineered sub-modules based on the values for the variables and generating a plant system module model from the pre-engineered and parametrized sub-module models by assembling the pre-engineered and parametrized sub-module models together according to pre-defined rules.

Claims (34)

1. A modeling system for a plant system of a power plant, comprising:

one or more hardware processors; and

a non-transitory memory, the non-transitory memory storing instructions that, when executed by the one or hardware processors, causes the one or more hardware processors to perform actions comprising:

receiving a selection of one or more pre-engineered sub-modules from a plurality of pre-engineered sub-modules for a plant system module, wherein each pre-engineered sub-module is configured to be scalable over a defined range both for an entire class product range and each potential power plant configuration, and each pre-engineered sub-module is parametrized within the defined range with a pre-defined parametric relationship;

receiving values for one or more variables for the defined range for the one or more pre-engineered sub-modules;

generating a pre-engineered and parametrized sub-module model for each of the one or more pre-engineered sub-modules based on the values for the one or more variables; and

generating a plant system module model from the pre-engineered and parametrized sub-module models by assembling the pre-engineered and parametrized sub-module models together according to pre-defined rules.

2. The modeling system of claim 1 , wherein the one or more variables comprise a plurality of independent attributes that vary over the entire class product range and each potential power plant configuration.

3. The modeling system of claim 2 , wherein the one or more variables comprise a plurality of dependent attributes that define an overall arrangement of each pre-engineered sub-module.

4. The modeling system of claim 3 , wherein at least some of the plurality of independent attributes and at least some of the plurality of dependent attributes are related to each other via a continuous function.

5. The modeling system of claim 3 , wherein at least some of the plurality of independent attributes and at least some of the plurality of dependent attributes are related to each other via a step function.

6. The modeling system of claim 3 , wherein a discrete and unique value for at least one dependent attribute is dependent on values for a set of independent attributes of the plurality of independent attributes.

7. The modeling system of claim 1 , wherein the pre-defined rules comprise a pre-defined naming convention.

8. The modeling system of claim 1 , wherein the pre-defined rules comprise a pre-defined number of orientations.

9. The modeling system of claim 1 , wherein each pre-engineered sub-module within the defined range, when built, is configured for road transportation.

10. The modeling system of claim 1 , wherein at least one pre-engineered sub-module of the plurality of pre-engineered sub-modules is configured to have all piping for terminal points to be entirely anchored at a boundary for the at least one pre-engineered sub-module so that a configuration of the at least one pre-engineered sub-module is isolated and independent of external factors.

11. The modeling system of claim 1 , wherein the plant system module comprises an atmospheric drain vessel system.

12. The modeling system of claim 11 , wherein the plurality of pre-engineered sub-modules comprises a tank sub-module, one or more drain header sub-modules, and a pump sub-module.

13. The modeling system of claim 1 , wherein the instructions, when executed by the one or hardware processors, cause the one or more hardware processors to automatically or semi-automatically generate a final sub-module model for each of the one or more pre-engineered sub-modules and to automatically or semi-automatically generate the plant system module model.

14. A method for modeling a plant system of a power plant, comprising:

receiving, at a processor, a selection of one or more pre-engineered sub-modules from a plurality of pre-engineered sub-modules for a plant system module, wherein each pre-engineered sub-module is configured to be scalable over a defined range both for an entire class product range and each potential power plant configuration, and each pre-engineered sub-module is parametrized within the defined range with a pre-defined parametric relationship;

receiving, at the processor, values for one or more variables for the defined range for the one or more pre-engineered sub-modules;

generating, via the processor, a pre-engineered and parametrized sub-module model for each of the one or more pre-engineered sub-modules based on the values for the one or more variables; and

generating, via the processor, a plant system module model from the pre-engineered and parametrized sub-module models by assembling the pre-engineered and parametrized sub-module models together according to pre-defined rules.

15. The method of claim 14 , wherein the one or more variables comprise a plurality of independent attributes that vary over the entire class product range and each potential power plant configuration, and wherein the one or more variables comprise a plurality of dependent attributes that define an overall arrangement of each pre-engineered sub-module.

16. The method of claim 14 , wherein the pre-defined rules comprise a pre-defined naming convention and a pre-defined number of orientations.

17. The method of claim 14 , wherein at least one pre-engineered sub-module of the plurality of pre-engineered sub-modules is configured to have all piping for terminal points to be entirely anchored at a boundary for the at least one pre-engineered sub-module so that a configuration of the at least one pre-engineered sub-module is isolated and independent of external factors.

18. The method of claim 14 , wherein the plant system module comprises an atmospheric drain vessel system, and the plurality of pre-engineered sub-modules comprises a tank sub-module, one or more drain header sub-modules, and a pump sub-module.

19. A non-transitory computer-readable medium, the computer-readable medium comprising processor-executable code that when executed by a processor, causes the processor to:

receive a selection of one or more pre-engineered sub-modules from a plurality of pre-engineered sub-modules for a plant system module, wherein each pre-engineered sub-module is configured to be scalable over a defined range both for an entire class product range and each potential power plant configuration, and each pre-engineered sub-module is parametrized to the defined range with a pre-defined parametric relationship;

receive values for one or more variables for the defined range for the one or more pre-engineered sub-modules;

generate a pre-engineered and parametrized sub-module model for each of the one or more pre-engineered sub-modules based on the values for the one or more variables; and

generate a plant system module model from the pre-engineered and parametrized sub-module models by assembling the pre-engineered and parametrized sub-module models together according to pre-defined rules.

20. The non-transitory computer readable storage medium of claim 19 , wherein the plant system module comprises an atmospheric drain vessel system, and the plurality of pre-engineered sub-modules comprises a tank sub-module, one or more drain header sub-modules, and a pump sub-module.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 17, 2023
From: GENERAL ELECTRIC COMPANY
To: GE INFRASTRUCTURE TECHNOLOGY LLC
Reel/Frame 065727/0001 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 9, 2021
From: MUKHERJEE, SHUBHA SANKAR; DOKIC, BORISLAV; AGRAWAL, PRASHANT; SGAMBATI, ALESSANDRO; LAESSER, MARTIN
To: GENERAL ELECTRIC COMPANY
Reel/Frame 055535/0747 →
Continuity (1)
Related Publication 20220284145A1 · Sep 8, 2022
References Cited (22)
US 10754999B1 · Vratimos · 2020 [cited by examiner]
US 20030216893A1 · Hendrickson · 2003 [cited by examiner]
US 20050171748A1 · Oke · 2005 [cited by examiner]
US 20070168174A1 · Davari · 2007 [cited by examiner]
US 20110098985A1 · Lawson · 2011 [cited by examiner]
US 20160299999A1 · James · 2016 [cited by examiner]
US 20170293418A1 · Hams · 2017 [cited by examiner]
US 20190197198A1 · Cheong · 2019 [cited by examiner]
US 20190228112A1 · Son · 2019 [cited by examiner]
US 20190311087A1 · Jackson · 2019 [cited by examiner]
US 20190354075A1 · Christiansen · 2019 [cited by examiner]
US 20200380192A1 · MacRae · 2020 [cited by examiner]
US 20210096524A1 · Stump · 2021 [cited by examiner]
US 20210141985A1 · Fischer · 2021 [cited by examiner]
US 20220058306A1 · Mabote · 2022 [cited by examiner]
US 20220075918A1 · McGregor · 2022 [cited by examiner]
US 20220129138A1 · List · 2022 [cited by examiner]
US 20230029904A1 · Mettenleiter · 2023 [cited by examiner]
US 20230367921A1 · Williams · 2023 [cited by examiner]
WO 2005114495 · 2005 [cited by applicant]
WO WO2005114495A1 · 2005 [cited by examiner]
EP Application No. 22157446 Search Report dated Aug. 1, 2022, 8 pgs. [cited by applicant]