IP Library Granted Patent US 12,498,187
Granted Patent B2
US 12,498,187 · App. 17/899,560 · Granted Dec 16, 2025

Industrial cleaning systems, including solutions for removing various types of deposits, and cognitive cleaning

Inventors: Alexandr Alexandrovich Sheptunov (Sochi, RU); Daniil Romanovich Bazanov (Samara, RU); Ilya Rodin (Moscow, RU); Eduard Cherednik (Moscow, RU)
Assignee: Angara Global Limited
F28G9/00B08B9/0325B08B13/00C11D1/83C11D3/2065C11D3/3947F28G15/003G06Q10/1097G06Q30/0283B08B2209/032C11D1/72
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Quick Facts
Patent No.
US 12,498,187
App. No.
17/899,560
Granted
Dec 16, 2025
Kind
B2
Abstract

A method is performed at a computer system to clean heat exchanger systems. The system estimates the fouling level of a heat exchanger system based on measured performance parameters of the heat exchanger system. The performance parameters include the rate of heat exchange. The system generates a system performance cost model based on the estimated fouling level of the heat exchanger system. The system also determines an initial cleaning recipe based on operational parameters of the heat exchanger system. The operational parameters include chemical composition and operating temperatures of fluids passing through the heat exchanger system. The system generates a cleaning cost model based on the initial cleaning recipe and calculates a cleaning schedule to minimize overall operational cost using both the system performance cost model and the cleaning cost model. The system then executes the initial cleaning recipe at the heat exchanger system according to the calculated cleaning schedule.

Claims (69)

1 . A method of cleaning heat exchanger systems, comprising:

at a computer system having one or more processors and memory storing one or more programs configured for execution by the one or more processors:

estimating a fouling level of a heat exchanger system based, at least in part, on measured performance parameters of the heat exchanger system, the performance parameters including rate of heat exchange;

generating a system performance cost model based on the estimated fouling level of the heat exchanger system;

determining an initial cleaning recipe based on operational parameters of the heat exchanger system, the operational parameters including chemical composition of fluids passing through the heat exchanger system and operating temperatures of the fluids passing through the heat exchanger system;

generating a cleaning cost model based on the initial cleaning recipe;

calculating a cleaning schedule to minimize overall operational cost using both the system performance cost model and the cleaning cost model;

executing the initial cleaning recipe at the heat exchanger system according to the calculated cleaning schedule;

characterizing a fouling sample collected from the heat exchanger system during execution of the initial cleaning recipe;

determining an updated cleaning recipe based, at least in part, on characteristics of the fouling sample;

generating an updated cleaning cost model based on the updated cleaning recipe; and

executing the updated cleaning recipe at the heat exchanger system according to the calculated schedule.

2 . The method of claim 1 , wherein:

the initial cleaning recipe includes a formulation for a solution for removing fouling; and

executing the initial cleaning recipe includes:

mixing a plurality of components, based on the formulation, to generate the solution; and

applying the solution to fouling in the heat exchanger system, thereby generating gas via decomposition of the solution, resulting in fracturing of the fouling.

3 . The method of claim 2 , wherein:

the solution includes hydrogen peroxide;

the generated gas includes oxygen; and

generating the gas includes decomposition of hydrogen peroxide to generate the oxygen.

4 . The method of claim 2 , wherein decomposition of the solution is an exothermic decomposition process.

5 . The method of claim 1 , wherein characterizing the fouling sample includes determining one or more of:

one or more chemical characteristics of the fouling sample;

one or more mechanical characteristics of the fouling sample; and

one or more physical characteristics of the fouling sample.

6 . The method of claim 1 , further comprising generating a three-dimensional synthetic model of the fouling sample based on the characteristics of the fouling sample.

7 . The method of claim 1 , wherein executing the initial cleaning recipe at the heat exchanger system includes one or more of:

determining a chemical composition of a fouling sample collected from the heat exchanger system;

determining a temperature at the heat exchanger system and adjusting the initial cleaning recipe in accordance with the temperature at the heat exchanger system; and

determining a pressure at the heat exchanger system and adjusting the initial cleaning recipe in accordance with the pressure at the heat exchanger system.

8 . The method of claim 1 , wherein determining the initial cleaning recipe based on operational parameters of the heat exchanger system includes:

retrieving previously generated cleaning recipes, from a repository, generated for one or more other heat exchanger systems having operational parameters correlated with the operational parameters of the heat exchanger system; and

generating the initial cleaning recipe based on the retrieved cleaning recipes.

9 . A computing device, comprising:

one or more processors; and

memory coupled to the one or more processors, the memory storing one or more programs configured to be executed by the one or more processors, the one or more programs including instructions for:

estimating a fouling level of a heat exchanger system based, at least in part, on measured performance parameters of the heat exchanger system, the performance parameters including rate of heat exchange;

generating a system performance cost model based on the estimated fouling level of the heat exchanger system;

determining an initial cleaning recipe based on operational parameters of the heat exchanger system, the operational parameters including chemical composition of fluids passing through the heat exchanger system and operating temperatures of the fluids passing through the heat exchanger system;

generating a cleaning cost model based on the initial cleaning recipe;

calculating a cleaning schedule to minimize overall operational cost using both the system performance cost model and the cleaning cost model;

executing the initial cleaning recipe at the heat exchanger system according to the calculated cleaning schedule;

characterizing a fouling sample collected from the heat exchanger system during execution of the initial cleaning recipe;

determining an updated cleaning recipe based, at least in part, on characteristics of the fouling sample;

generating an updated cleaning cost model based on the updated cleaning recipe; and

executing the updated cleaning recipe at the heat exchanger system according to the calculated schedule.

10 . The computing device of claim 9 , wherein:

the initial cleaning recipe includes a formulation for a solution for removing fouling; and

executing the initial cleaning recipe includes:

mixing a plurality of components, based on the formulation, to generate the solution; and

applying the solution to fouling in the heat exchanger system, thereby generating gas via decomposition of the solution, resulting in fracturing of the fouling.

11 . The computing device of claim 10 , wherein:

the solution includes hydrogen peroxide;

the generated gas includes oxygen; and

generating the gas includes decomposition of hydrogen peroxide to generate the oxygen.

12 . The computing device of claim 10 , wherein decomposition of the solution is an exothermic decomposition process.

13 . The computing device of claim 10 , wherein characterizing the fouling sample includes determining one or more of:

one or more chemical characteristics of the fouling sample;

one or more mechanical characteristics of the fouling sample; and

one or more physical characteristics of the fouling sample.

14 . The computing device of claim 10 , wherein the one or more programs further comprise instructions for generating a three-dimensional synthetic model of the fouling sample based on the characteristics of the fouling sample.

15 . The computing device of claim 9 , wherein executing the initial cleaning recipe at the heat exchanger system includes one or more of:

determining a chemical composition of a fouling sample collected from the heat exchanger system;

determining a temperature at the heat exchanger system and adjusting the initial cleaning recipe in accordance with the temperature at the heat exchanger system; and

determining a pressure at the heat exchanger system and adjusting the initial cleaning recipe in accordance with the pressure at the heat exchanger system.

16 . The computing device of claim 9 , wherein determining the initial cleaning recipe based on operational parameters of the heat exchanger system includes:

retrieving previously generated cleaning recipes, from a repository, generated for one or more other heat exchanger systems having operational parameters correlated with the operational parameters of the heat exchanger system; and

generating the initial cleaning recipe based on the retrieved cleaning recipes.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 3, 2025
From: SHEPTUNOV, ALEXANDR ALEXANDROVICH; BAZANOV, DANIIL ROMANOVICH; RODIN, ILYA; CHEREDNIK, EDUARD
To: ANGARA INDUSTRIES LTD.
Reel/Frame 072761/0575 →
CHANGE OF NAME Recorded Nov 3, 2025
From: ANGARA INDUSTRIES LIMITED
To: ANGARA GLOBAL LIMITED
Reel/Frame 072761/0710 →
Priority Claims (1)
RU 2016114065 · Apr 12, 2016 · national
Continuity (4)
Continuation 17222975 · Apr 5, 2021
Continuation In Part 16093590
Provisional Application 63162968 · Mar 18, 2021
Related Publication 20220412677A1 · Dec 29, 2022
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