# US 2021/0275964 A1 · Method for controlling wet flue gas desulfurization device, device for controlling wet flue gas desulfurization device, and remote monitoring system comprising device for controlling wet flue gas desulfurization device > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2021/0275964 A1 - Document ID: US20210275964A1 - Status: Published application - Kind: A1 - Application number: 17/258,035 - Filed: 2019-07-10 - Published: 2021-09-09 - Earliest claimed: 2018-07-13 - Assignees: Mitsubishi Power, Ltd. - Applicants: Mitsubishi Power, Ltd. - Inventors: Makoto Kokubo; Jin Sudo; Shinya Kanemori; Shun Gunji - Web page: https://patentgrep.com/patent/US20210275964A1 ## CPC - B01D 53/346: {Controlling the process} - B01D 53/185: {Liquid distributors} - B01D 53/30: Controlling by gas-analysis apparatus (regulating non electrical variables in general G05D) - B01D 53/504: {characterised by a specific device} - B01D 53/507: {by treating the gases with other liquids} - B01D 53/78: with gas-liquid contact - B01D 53/80: Semi-solid phase processes, i.e. by using slurries - F23J 15/003: {for supplying chemicals to fumes, e.g. using injection devices} - F23J 15/006: {Layout of treatment plant} - F23J 15/04: using washing fluids {(scrubbers for removing solids only F23J15/022)} - G06N 20/00: Machine learning - B01D 53/502: {characterised by a specific solution or suspension} - B01D 2251/404: of calcium - B01D 2251/606: Carbonates - B01D 2257/302: Sulfur oxides - B01D 2258/0283: Flue gases - B01D 2259/126: Semi-solid reactants, e.g. slurries - F23J 2215/20: Sulfur; Compounds thereof - B01D: SEPARATION (separating solids from solids by wet methods B03B, B03D; by pneumatic jigs or tables B03B; by other dry methods B07; magnetic or electrostatic separation of solid materials from solid materials or fluids, separation by high-voltage electric fields B03C; centrifuges, vortex apparatus B04; presses per se for squeezing-out liquid from liquid-containing material B30B9/02; treatment of water C02F, e.g. softening by ion-exchange C02F1/42; {arrangements of air intake cleaners in gas turbine plants F02C7/05} ; arrangements or mounting of filters in air-conditioning, air-humidification or ventilation F24F13/28) - F23J: REMOVAL OR TREATMENT OF COMBUSTION PRODUCTS OR COMBUSTION RESIDUES; FLUES (combustion apparatus for consuming smoke or fumes, e.g. exhaust gases, F23G7/06) - G06N: COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS ## Abstract A method for controlling a wet flue gas desulfurization device includes a step of constructing a first learning model by machine learning of a relationship between a future sulfur dioxide concentration at an outlet of the absorption tower, and operation data of the combustion device and operation data of the wet flue gas desulfurization device including a circulation flow rate of the absorption liquid, a step of creating, by using the first learning model, a first relationship table between a circulation flow rate of the absorption liquid at first time and a sulfur dioxide concentration in an effluent gas flowing out of the absorption tower at second time which is time in the future relative to the first time, a step of deciding, based on the first relationship table, the circulation flow rate of the absorption liquid at the first time, at which the sulfur dioxide concentration in the effluent gas at the second time is not more than a preset set value, and a step of adjusting an operation condition of the at least one circulation pump based on the decided circulation flow rate, at the first time. ## Claims ### Claim 1 A method for controlling a wet flue gas desulfurization device including: an absorption tower; and at least one circulation pump for circulating an absorption liquid in the absorption tower, and performing desulfurization by bringing the absorption liquid into gas-liquid contact with an exhaust gas generated in a combustion device, in the absorption tower, the method comprising: a step of constructing a first learning model by machine learning of a relationship between a future sulfur dioxide concentration at an outlet of the absorption tower, and operation data of the combustion device and operation data of the wet flue gas desulfurization device including a circulation flow rate of the absorption liquid; a step of creating, by using the first learning model, a first relationship table between a circulation flow rate of the absorption liquid at first time and a sulfur dioxide concentration in an effluent gas flowing out of the absorption tower at second time which is time in the future relative to the first time; a step of deciding, based on the first relationship table, the circulation flow rate of the absorption liquid at the first time, at which the sulfur dioxide concentration in the effluent gas at the second time is not more than a preset set value; and a step of adjusting an operation condition of the at least one circulation pump based on the decided circulation flow rate, at the first time. ### Claim 2 (depends on 1) The method for controlling the wet flue gas desulfurization device according to claim 1, wherein the operation data of the wet flue gas desulfurization device including the circulation flow rate of the absorption liquid includes: a sulfur dioxide concentration in the effluent gas at any time; and a circulation flow rate of the absorption liquid at time in the past relative to the any time by a time interval obtained by subtracting the first time from the second time. ### Claim 3 (depends on 1) The method for controlling the wet flue gas desulfurization device according to claim 1, wherein the wet flue gas desulfurization device further includes a gas analyzer for measuring the sulfur dioxide concentration in the effluent gas, and wherein the method further includes a step of comparing an analysis result by the gas analyzer acquired at the second time with a predictive value of the sulfur dioxide concentration in the effluent gas at the second time. ### Claim 4 (depends on 3) The method for controlling the wet flue gas desulfurization device according to claim 3, further comprising: after creating the first relationship table, a step of reconstructing, based on a difference between the analysis result and the predictive value of the sulfur dioxide concentration in the effluent gas, the first learning model by machine learning of the relationship between the future sulfur dioxide concentration at the outlet of the absorption tower, and the operation data of the combustion device and the operation data of the wet flue gas desulfurization device including the circulation flow rate of the absorption liquid, and creating the first relationship table by using the reconstructed first learning model. ### Claim 5 (depends on 1) The method for controlling the wet flue gas desulfurization device according to claim 1, wherein the wet flue gas desulfurization device further includes an absorbent slurry supply part for supplying, to the absorption tower, an absorbent slurry which is a slurry of an absorbent included in the absorption liquid, and wherein the method further includes: a step of constructing a second learning model by machine learning of a relationship between a future absorbent concentration, and the operation data of the combustion device and the operation data of the wet flue gas desulfurization device including the circulation flow rate of the absorption liquid; a step of creating, by using the second learning model, a second relationship table between a supply amount of the absorbent slurry to the absorption tower at third time and a concentration of the absorbent in the absorption liquid at fourth time which is time in future relative to the third time; a step of deciding, based on the second relationship table, the supply amount of the absorbent slurry at the third time, in which the concentration of the absorbent at the fourth time falls within a preset setting range; and a step of controlling the absorbent slurry supply part based on the decided supply amount of the absorbent slurry, at the third time. ### Claim 6 (depends on 5) The method for controlling the wet flue gas desulfurization device according to claim 5, wherein the operation data of the wet flue gas desulfurization device including the circulation flow rate of the absorption liquid includes: a concentration of the absorbent at any time; and a supply amount of the absorbent slurry at time in the past relative to the any time by a time interval obtained by subtracting the third time from the fourth time. ### Claim 7 (depends on 6) The method for controlling the wet flue gas desulfurization device according to claim 6, wherein the concentration of the absorbent is calculated with a simulation model by mass balance calculation. ### Claim 8 (depends on 5) The method for controlling the wet flue gas desulfurization device according to claim 5, wherein an interval from the third time to the fourth time is shorter than an interval from the first time to the second time. ### Claim 9 A device for controlling a wet flue gas desulfurization device including: an absorption tower; and at least one circulation pump for circulating an absorption liquid in the absorption tower, and performing desulfurization by bringing the absorption liquid into gas-liquid contact with an exhaust gas generated in a combustion device, in the absorption tower, the device comprising: a first learning model construction unit for constructing a learning model by machine learning of a relationship between a future sulfur dioxide concentration at an outlet of the absorption tower, and operation data of the combustion device and operation data of the wet flue gas desulfurization device including a circulation flow rate of the absorption liquid; a first relationship table creation unit for creating, by using the learning model, a first relationship table between a circulation flow rate of the absorption liquid at first time and a sulfur dioxide concentration in an effluent gas flowing out of the absorption tower at second time which is time in the future relative to the first time; a circulation flow rate decision unit for deciding, based on the first relationship table, the circulation flow rate of the absorption liquid at the first time, at which the sulfur dioxide concentration in the effluent gas at the second time is not more than a preset set value; and a circulation pump adjustment unit for adjusting an operation condition of the at least one circulation pump based on the decided circulation flow rate, at the first time. ### Claim 10 (depends on 9) The device for controlling the wet flue gas desulfurization device according to claim 9, wherein the wet flue gas desulfurization device further includes an absorbent slurry supply part for supplying, to the absorption tower, an absorbent slurry which is a slurry of an absorbent included in the absorption liquid, and wherein the device further includes: a second learning model construction unit for constructing a second learning model by machine learning of a relationship between a future absorbent concentration, and the operation data of the combustion device and the operation data of the wet flue gas desulfurization device including the circulation flow rate of the absorption liquid; a second relationship table creation unit for creating, by using the second learning model, a second relationship table between a supply amount of the absorbent slurry to the absorption tower at third time and a concentration of the absorbent in the absorption liquid at fourth time which is time in future relative to the third time; an absorbent slurry supply amount decision unit for deciding, based on the second relationship table, the supply amount of the absorbent slurry at the third time, in which the concentration of the absorbent at the fourth time falls within a preset setting range; and an absorbent slurry supply control unit for controlling the absorbent slurry supply part based on the decided supply amount of the absorbent slurry, at the third time. ### Claim 11 (depends on 9) A remote monitoring system, comprising: the device for controlling the wet flue gas desulfurization device according to claim 9; and a remote monitoring device electrically connected to the device for controlling the wet flue gas desulfurization device.