IP Library › Granted Patent US 12,651,226
Granted Patent B2
US 12,651,226 · App. 18/095,377 · Granted Jun 9, 2026

Systems and servers for first principles-based process simulation driven selection for appropriate resource/operating mode

Inventors: Aleksandra Krivonosova (Fulshear, TX); Ales Soudek (Brookshire, TX); Arijeet Majumdar (Cypress, TX); Shawn Andrew Davison (Salem, OR); Sonia Mara Cristina Echeverria Ferreira Cardoso (otl a+ee o Paulo, BR); Gonzalo Rodrigo Merciel (Madrid, ES)
Assignee: Aveva Software, LLC
G06Q10/06375G06Q10/067G06Q50/06
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 12,651,226
App. No.
18/095,377
Granted
Jun 9, 2026
Kind
B2
Abstract

Some embodiments described in this disclosure are directed to a system for determining a deficit or surplus in green energy for use in an industrial process. In some embodiments, the system is configured to predict future available green energy using weather forecasts. In some embodiments, the system is configured to model power demand for an industrial process and determine whether a green energy source such as solar and/or wind will be able to meet the power demand. In some embodiments, the system is configured to suggest alternate energy sources for purchase to make up for a green energy deficit. In some embodiments, the system is configured to suggest a best time to buy or sell energy to optimize a profit or loss.

Claims (38)

1 . A system for predicting a deficit in energy comprising:

one or more computers comprising one or more processors and one or more non-transitory computer readable media, the one or more non-transitory computer readable media comprising instructions that when executed cause the one or more computers to:

execute, by the one or more processors, a model simulation of an industrial process and one or more industrial components;

receive, by the one or more processors, one or more data inputs;

model, by the one or more processors, effects of the one or more industrial components on the industrial process using the one or more data inputs in the model simulation;

predict, by the one or more processors, a future energy requirement for the one or more industrial components at a future time based on the one or more data inputs;

predict, by the one or more processors, a future energy availability at the future time based on the one or more data inputs;

determine, by the one or more processors, an alternative energy source based on at least one of a future energy deficit and a future energy surplus, the future energy deficit and the future energy surplus being based on a difference between the future energy availability and the future energy requirement; and

power, by the one or more processors, the one or more industrial components using the alternative energy source at the future time to optimize energy efficiency for the industrial process.

2 . The system of claim 1 , wherein the model simulation comprises first principles based model simulation.

3 . The system of claim 1 , the one or more non-transitory computer readable media comprising further instructions that when executed cause the one or more computers to:

display, by the one or more processors, a selection of alternate energy sources to at least partially supply the future energy requirement for the one or more industrial components.

4 . The system of claim 1 , wherein the one or more data inputs include one or more environmental inputs.

5 . The system of claim 4 , wherein the one or more environmental inputs includes a weather forecast.

6 . The system of claim 4 , the one or more non-transitory computer readable media comprising further instructions that when executed cause the one or more computers to: execute, by the one or more processors, a future available sunlight prediction using the one or more environmental inputs.

7 . The system of claim 6 , the one or more non-transitory computer readable media comprising further instructions that when executed cause the one or more computers to:

execute, by the one or more processors, a green energy prediction comprising a percentage of maximum available electrical power from a solar power plant using the future available sunlight prediction.

8 . The system of claim 7 , the one or more non-transitory computer readable media comprising further instructions that when executed cause the one or more computers to:

input, by the one or more processors, the green energy prediction into the model simulation of an industrial facility to determine the future energy deficit and/or the future energy surplus.

9 . The system of claim 4 , the one or more non-transitory computer readable media comprising further instructions that when executed cause the one or more computers to:

execute, by the one or more processors, a future available wind prediction using the one or more environmental inputs.

10 . The system of claim 9 , the one or more non-transitory computer readable media comprising further instructions that when executed cause the one or more computers to:

execute, by the one or more processors, a green energy prediction comprising a percentage of maximum available electrical power from a wind power plant using the future available wind prediction.

11 . The system of claim 10 , the one or more non-transitory computer readable media comprising further instructions that when executed cause the one or more computers to:

input, by the one or more processors, the green energy prediction into the model simulation of an industrial process to determine the future energy deficit and/or the future energy surplus.

12 . The system of claim 1 , wherein the one or more data inputs include a weather forecast; and

wherein the system is configured to use the weather forecast to determine the future energy availability.

13 . The system of claim 12 , wherein the future energy availability includes a future percentage of maximum available electrical power from a solar power plant and/or a wind power plant.

14 . The system of claim 13 , the one or more non-transitory computer readable media comprising further instructions that when executed cause the one or more computers to:

execute, by the one or more processors, an update to the future percentage of maximum available electrical power in response to a change in the weather forecast.

15 . The system of claim 1 , the one or more non-transitory computer readable media comprising further instructions that when executed cause the one or more computers to: display, by the one or more processors, an alternate energy plan.

16 . The system of claim 15 , wherein the alternate energy plan includes purchasing energy from an alternate energy source.

17 . The system of claim 16 , the one or more non-transitory computer readable media comprising further instructions that when executed cause the one or more computers to:

determine, by the one or more processors, a time to purchase alternate energy from the alternate energy source when the alternate energy is at a minimum cost.

18 . The system of claim 15 , wherein the alternate energy plan includes selling excess energy.

19 . The system of claim 18 , the one or more non-transitory computer readable media comprising further instructions that when executed cause the one or more computers to:

determine, by the one or more processors, a time to sell the excess energy at a maximum value.

20 . The system of claim 15 , wherein the alternate energy plan includes adjusting one or more production targets to at least partially match the future energy deficit and/or the future energy surplus.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 11, 2026
From: KRIVONOSOVA, ALEKSANDRA; SOUDEK, ALES; MAJUMDAR, ARIJEET; DAVISON, SHAWN ANDREW; CARDOSO, SONIA MARA CRISTINA ECHEVERRIA FERREIRA; MERCIEL, GONZALO RODRIGO
To: AVEVA SOFTWARE, LLC
Reel/Frame 074618/0167 →
Continuity (1)
Related Publication 20240232769A1 · Jul 11, 2024
References Cited (13)
US 5873251A · Iino · 1999 [cited by examiner]
US 9348394B2 · Harper, III · 2016 [cited by examiner]
US 20020194113A1 · Lof · 2002 [cited by examiner]
US 20040024483A1 · Holcombe · 2004 [cited by examiner]
US 20170364043A1 · Ganti · 2017 [cited by examiner]
US 20220179381A1 · Carrasco Schmidt · 2022 [cited by examiner]
US 20230129742A1 · Yamasaki · 2023 [cited by examiner]
EP 3550480A1 · 2019 [cited by applicant]
EP 3611688A1 · 2020 [cited by applicant]
EP 3709250A1 · 2020 [cited by applicant]
S. S, J. S, M. Esakiraj and J. R. Kishore, “PLC based Efficient Energy Management System in the Smart Grid,” 2022 3rd International Conference on Smart Electronics and Communication (ICOSEC), Trichy, India, 2022, pp. 13… [cited by examiner]
International Preliminary Report on Patentability from corresponding International Patent Application No. PCT/US2024/010916 dated Jul. 3, 2025. [cited by applicant]
International Search Report and Written Opinion from corresponding International Patent Application No. PCT/US2024/010916 dated Apr. 29, 2024. [cited by applicant]