Abnormality diagnosis system and abnormality diagnosis method

Abstract

To provide an abnormality diagnosis system or the like for appropriately performing abnormality diagnosis related to recovery of carbon dioxide.SOLUTION: The abnormality diagnosis system includes a processing unit that performs a simulation of an operation of recovering carbon dioxide from exhaust gas of a combustion device 1 by a recovery facility 2, and determines whether or not a subtraction value, which is a value obtained by subtracting a measured value of a carbon dioxide recovery amount from a calculated value of a carbon dioxide recovery amount based on the simulation, is equal to or greater than a predetermined value, and determines whether or not each of difference values, which are values of differences between calculated values of one or a plurality of state amounts related to the operation of the recovery facility 2 and measured values of the state amounts, is within a predetermined allowable range, based on the determination.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present disclosure relates to an abnormality diagnosis system and an abnormality diagnosis method. [Background technology]

[0002] In order to curb emissions of greenhouse gases such as carbon dioxide, development of technology for recovering greenhouse gases from exhaust gases is underway. Regarding such technology, Patent Document 1 describes "a carbon dioxide recovery management system including a recovery amount determination unit that determines the amount of carbon dioxide to be recovered based on absorption member information, and a storage control unit that stores the amount of carbon dioxide recovered determined by the recovery amount determination unit in a database." [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Publication No. 2023-112283 Summary of the Invention [Problem to be solved by the invention]

[0004] Patent Document 1 describes managing the amount of carbon dioxide recovered in a database, but does not describe any technology for identifying where an abnormality is occurring, for example, if the amount of carbon dioxide recovered is less than expected.

[0005] Therefore, an object of the present disclosure is to provide an abnormality diagnosis system or the like that appropriately performs abnormality diagnosis regarding carbon dioxide recovery. [Means for solving the problem]

[0006] In order to solve the above-mentioned problems, the abnormality diagnosis system according to the present disclosure includes a processing unit that simulates the operation of recovering carbon dioxide from the exhaust gas of a combustion device using recovery equipment, and notifies the user that there is an abnormality in the combustion of fuel in the combustion device based on whether a subtraction value, which is a value obtained by subtracting a measured amount of carbon dioxide recovered from a calculated value of the amount of carbon dioxide recovered based on the simulation, is equal to or greater than a predetermined value, and whether each of the difference values, which is the value of the difference between the calculated value of one or more state quantities related to the operation of the recovery equipment and the measured value of the state quantity, is within a predetermined allowable range. [Effects of the Invention]

[0007] According to the present disclosure, it is possible to provide an abnormality diagnosis system and the like that appropriately performs abnormality diagnosis regarding carbon dioxide recovery. [Brief explanation of the drawings]

[0008] [Figure 1] 1 is an explanatory diagram of a carbon dioxide capture system that is a diagnosis target of an abnormality diagnosis system according to an embodiment. [Figure 2] FIG. 2 is a configuration diagram of recovery equipment included in the diagnosis target of the abnormality diagnosis system according to the embodiment. [Figure 3] 1 is a functional block diagram of an abnormality diagnosis system according to an embodiment; [Figure 4] 1 is a diagram illustrating a hardware configuration of an abnormality diagnosis device included in an abnormality diagnosis system according to an embodiment. [Figure 5] 4 is an explanatory diagram relating to the processing of a CO2 amount calculation unit included in the abnormality diagnosis system according to the embodiment. FIG. [Figure 6] FIG. 2 is an explanatory diagram of processing performed by a processing unit included in the abnormality diagnosis system according to the embodiment. [Figure 7] 4 is a flowchart of a process executed by a processing unit of the abnormality diagnosis system according to the embodiment. [Figure 8] 8 is a flowchart showing details of the process of step S105 in FIG. 7 in the abnormality diagnosis system according to the embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0009] <Embodiment> In the following, first, the carbon dioxide capture system A1 (see FIG. 1) that is the target of diagnosis by the abnormality diagnosis system B1 (see FIG. 3) will be briefly described, and then the abnormality diagnosis system B1 will be described in detail.

[0010] <Configuration of carbon dioxide capture system> FIG. 1 is an explanatory diagram of a carbon dioxide capture system A1 that is a target of diagnosis by an abnormality diagnosis system according to an embodiment. The carbon dioxide capture system A1 shown in Fig. 1 is a system that captures carbon dioxide from the exhaust gas of a combustion device 1, and is configured to include the combustion device 1 and a capture facility 2. The combustion device 1 is a device that combusts fuel by continuously or intermittently supplying fuel to compressed air. As such a combustion device 1, for example, a gas turbine, a gas engine, a boiler, a cogeneration system, or the like may be used.

[0011] As shown in Fig. 1, air and fuel are supplied to the combustion device 1. Types of fuel supplied to the combustion device 1 include, for example, methane, petroleum gas, liquefied petroleum gas, natural gas, liquefied natural gas, coal, and coke. A generator (not shown) may be connected to the output shaft of the combustion device 1, or another load device (not shown). Although not shown in Fig. 1, the exhaust side of the combustion device 1 and the recovery facility 2 are connected via a specified exhaust gas line. Exhaust gas is supplied from the combustion device 1 to the recovery facility 2 via the exhaust gas line.

[0012] The recovery facility 2 is a facility that recovers carbon dioxide from the exhaust gas of the combustion device 1. Note that a reactor or other device (not shown) may be appropriately connected downstream of the recovery facility 2. Methods that can be used to recover carbon dioxide in the recovery facility 2 include, for example, chemical absorption and solid absorption, as well as physical absorption, physical adsorption, membrane separation, and cryogenic separation. Each of these methods is well known, and therefore a description thereof will be omitted. Below, as an example, a case will be described in which carbon dioxide is recovered in the recovery facility 2 based on the chemical absorption method.

[0013] FIG. 2 is a configuration diagram of the recovery facility 2. Note that dashed arrows in Figure 2 indicate the flow of gas. Also, solid arrows in Figure 2 indicate the flow of absorbing liquid. In the recovery facility 2, carbon dioxide contained in the exhaust gas from the combustion device 1 (see Figure 1) is absorbed into the absorbing liquid, and then the absorbing liquid is heated to separate the carbon dioxide. As shown in Figure 2, the recovery facility 2 includes an absorption tower 21, a rich liquid pump 22, a regenerative heat exchanger 23, a regenerator 24, a heat source 25, and a lean liquid pump 26. Also, the recovery facility 2 includes temperature sensors 3a, 3c, 3d, and 3f, and flow rate sensors 3b and 3e as sensors.

[0014] The absorption tower 21 is a facility for bringing the exhaust gas from the combustion device 1 (see FIG. 1) into gas-liquid contact with an absorbing liquid, thereby absorbing carbon dioxide contained in the exhaust gas into the absorbing liquid. As such an absorbing liquid, for example, an amine solution containing one or more types of amines is used.

[0015] The lower space of the absorption tower 21 is supplied with exhaust gas from the combustion device 1 (see FIG. 1) via an exhaust gas line. Furthermore, the absorbing liquid (lean liquid) from which carbon dioxide has been separated in the regeneration tower 24 is supplied to the upper space of the absorption tower 21 via piping K4. Inside the absorption tower 21, the exhaust gas rises and the absorbing liquid descends. Then, through gas-liquid contact between the exhaust gas and the absorbing liquid, the carbon dioxide contained in the exhaust gas is absorbed by the absorbing liquid. The gas from which most of the carbon dioxide has been separated is released from the absorption tower 21 into the atmosphere.

[0016] The rich liquid pump 22 is a pump for sending the absorption liquid (rich liquid) that has absorbed carbon dioxide in the absorption tower 21 to the regeneration tower 24 via the pipe K1, the regenerative heat exchanger 23, and the pipe K2 in this order. In the example of Fig. 2, the rich liquid pump 22 is provided in the pipe K1 that connects the lower part of the absorption tower 21 and the regenerative heat exchanger 23.

[0017] The temperature sensor 3a is a sensor for detecting the temperature of the absorbing liquid (rich liquid) flowing through the pipe K1 to the regenerative heat exchanger 23. The flow rate sensor 3b is a sensor for detecting the flow rate of the absorbing liquid flowing through the pipe K1 to the regenerative heat exchanger 23.

[0018] The regenerative heat exchanger 23 is a heat exchanger for exchanging heat between the absorption liquid (rich liquid) that has absorbed carbon dioxide in the absorption tower 21 and the high-temperature absorption liquid (lean liquid) from which carbon dioxide has been separated in the regeneration tower 24. The absorption liquid flowing through the pipe K1 absorbs heat in the regenerative heat exchanger 23, and the absorbed heat absorption liquid is led to the upper space of the regeneration tower 24 through the pipe K2. The temperature sensor 3c is a sensor for detecting the temperature of the absorption liquid heading toward the regeneration tower 24 through the pipe K2.

[0019] The regeneration tower 24 is a facility for separating carbon dioxide from the absorbing solution (rich solution) by heating the absorbing solution. The regeneration tower 24 is provided with a heat source 25 for heating the absorbing solution. As such a heat source 25, for example, a heater, high-pressure steam, or hot oil is used.

[0020] The absorption liquid is then heated in the regeneration tower 24, causing a reverse reaction to occur, and carbon dioxide is separated from the absorption liquid. The carbon dioxide separated in this manner ("recovered CO2" in FIG. 2) is compressed, for example, by a compression pump (not shown), and stored in a tank (not shown) in a supercritical state or liquid state, or transported.

[0021] The carbon dioxide recovered by the recovery facility 2 can be used for a variety of purposes. For example, methane can be produced by reacting carbon dioxide with hydrogen. Carbon dioxide can also be used to produce methanol or ethanol, or to produce dry ice or carbon fiber. Carbon dioxide can also be stored underground.

[0022] The absorption liquid (lean liquid) from which carbon dioxide has been separated in the regenerator 24 is guided to the regenerative heat exchanger 23 via piping K3. The lean liquid pump 26 shown in Fig. 2 is a pump for sending the absorption liquid from which carbon dioxide has been separated to the absorption tower 21 via piping K3, the regenerative heat exchanger 23, and piping K4 in this order. In the example of Fig. 2, the lean liquid pump 26 is provided on piping K3 that connects the lower part of the regenerator 24 and the regenerative heat exchanger 23.

[0023] The temperature sensor 3d is a sensor for detecting the temperature of the absorbing liquid (lean liquid) flowing through the pipe K3 to the regenerative heat exchanger 23. The flow rate sensor 3e is a sensor for detecting the flow rate of the absorbing liquid flowing through the pipe K3 to the regenerative heat exchanger 23.

[0024] The absorbing liquid (lean liquid) that has dissipated heat in the regenerative heat exchanger 23 is led to the upper space of the absorption tower 21 via the pipe K4. A cooler (not shown) for cooling the absorbing liquid that has dissipated heat in the regenerative heat exchanger 23 may be provided on the pipe K4. The temperature sensor 3f is a sensor for detecting the temperature of the absorbing liquid (lean liquid) heading toward the absorption tower 21 via the pipe K4.

[0025] 2 are output as predetermined sensor data to an abnormality diagnosis device 100 (see FIG. 3) described below. In addition, the sensor data may include the heating power required for heating by the heat source 25 and the overall power consumption of the recovery facility 2.

[0026] 2 is an example and is not limiting. For example, the gas separated from the absorbing liquid in the regeneration tower 24 may contain, in addition to carbon dioxide, the main component of the absorbing liquid (e.g., amine) and a predetermined additive component. Therefore, a scrubbing tower (not shown) may be provided to wash the gas separated from the absorbing liquid in the regeneration tower 24 with a predetermined scrubbing liquid to obtain highly pure carbon dioxide.

[0027] <Configuration of the abnormality diagnosis system> FIG. 3 is a functional block diagram of the abnormality diagnosis system B1. The abnormality diagnosis system B1 shown in Fig. 3 is a system for diagnosing the presence or absence of an abnormality in the carbon dioxide capture system A1 (see Fig. 1). As shown in Fig. 3, the abnormality diagnosis system B1 includes an abnormality diagnosis device 100, an input device 4, and a display device 5.

[0028] The abnormality diagnosis device 100 is a device that diagnoses whether or not there is an abnormality in the carbon dioxide capture system A1 (see FIG. 1). For example, a computer is used as this abnormality diagnosis device 100. Note that the functions of the abnormality diagnosis device 100 may be distributed among multiple computers such as cloud servers and edge servers.

[0029] As shown in Fig. 3, the abnormality diagnosis device 100 includes a communication unit 10, a storage unit 20, and a processing unit 30. The communication unit 10 receives sensor data including momentary detected values ​​from sensors. Examples of such sensors include the above-mentioned temperature sensors 3a, 3c, 3d, and 3f (see Fig. 2) and flow rate sensors 3b and 3e (see Fig. 2).

[0030] The storage unit 20 stores predetermined programs in advance, as well as sensor data received via the communication unit 10 and data input via the input device 4. The processing unit 30 executes predetermined processing based on the programs and data stored in the storage unit 20.

[0031] The processing unit 30 has, as its functional configuration, a data acquisition unit 31, a simulation execution unit 32, a CO2 recovery amount calculation unit 33, a system abnormality determination unit 34, a recovery side abnormality determination unit 35, an abnormality identification unit 36, and an alarm instruction unit 37.

[0032] The data acquisition unit 31 acquires sensor data from time to time via the communication unit 10. The simulation execution unit 32 executes a simulation (simulated calculation) of the operation of the combustion device 1 (see FIG. 1) and the capture facility 2 (see FIG. 1) based on a predetermined program. Such a simulation is performed based on a physical model expressed by a predetermined mathematical formula. Note that the simulation may be performed in real time for the operation of the carbon dioxide capture system A1 (see FIG. 1), or may be performed for past operation of the carbon dioxide capture system A1; either one is acceptable.

[0033] The CO2 recovery amount calculation unit 33 calculates the amount of carbon dioxide recovered in the recovery facility 2 (see FIG. 2) based on the results of the simulation. The system abnormality determination unit 34 determines whether or not there is an abnormality in the carbon dioxide capture system A1 (see FIG. 1) based on whether or not a subtraction value, which is a value obtained by subtracting the measured amount of carbon dioxide capture (the measured amount in the capture equipment 2 in FIG. 2) from the calculated value of the amount of carbon dioxide capture in the simulation, is equal to or greater than a predetermined value. Note that whether or not there is an abnormality in the combustion of fuel in the combustion device 1 is determined by the abnormality identification unit 36 ​​(see FIG. 6), as will be described later.

[0034] The recovery-side abnormality determination unit 35 determines whether or not there is an abnormality in the recovery facility 2 (see FIG. 2) based on the value of a predetermined intermediate variable (value of a state quantity) used in the processing of the CO2 recovery amount calculation unit 33. The abnormality identification unit 36 ​​identifies where the abnormality is in the carbon dioxide recovery system A1 (see Figure 1) (for example, whether or not there is an abnormality in the combustion of fuel in the combustion device 1) based on the processing results of the system abnormality determination unit 34 and the recovery side abnormality determination unit 35.

[0035] The notification instruction unit 37 outputs a predetermined notification instruction (to the effect that an abnormality has occurred in the combustion of fuel in the combustion device 1, if any) based on the processing result of the abnormality identification unit 36. For example, based on the notification instruction from the notification instruction unit 37, predetermined notification content may be displayed on the display device 5. Furthermore, instead of (or in addition to) the display on the display device 5, a notification may be made by a predetermined alarm (not shown).

[0036] The input device 4 is used by the user to input data and is connected to the abnormality diagnosis device 100. For example, a keyboard or a mouse is used as the input device 4. The display device 5 is a device that displays the calculation results of the abnormality diagnosis device 100 and is connected to the abnormality diagnosis device 100. For example, a liquid crystal display is used as the display device 5. Note that a touch panel type mobile terminal that combines the functions of the input device 4 and the display device 5 and a predetermined calculation function, such as a smartphone or tablet, may also be used.

[0037] FIG. 4 is a diagram showing the hardware configuration of the abnormality diagnostic device 100. As shown in FIG. As shown in FIG. 4, the hardware configuration of the abnormality diagnosis device 100 includes a processor 11, a RAM 12 (Random Access Memory), a ROM 13 (Read Only Memory), a HDD 14 (Hard Disk Drive), a communication interface 15, and an input / output interface 16, which are connected in a predetermined manner via an internal bus 17.

[0038] The processor 11 is hardware that functions as the processing unit 30 (see FIG. 3) described above. The RAM 12, ROM 13, and HDD 14 are hardware that functions as the storage unit 20 (see FIG. 3) described above. The processor 11 reads out a predetermined program stored in the ROM 13 or HDD 14 and loads it into the RAM 12, thereby executing a predetermined process.

[0039] The communication interface 15 receives sensor data from time to time. The input / output interface 16 is an interface used for inputting data from the input device 4 and outputting data to the display device 5. The communication interface 15 and the input / output interface 16 are hardware that functions as the above-mentioned communication unit 10 (see FIG. 3). Note that the hardware configuration shown in FIG. 4 is an example and is not limited to this.

[0040] <Processing of abnormality diagnosis system> FIG. 5 is an explanatory diagram regarding the processing of the CO2 recovery amount calculation unit 33. In the example of FIG. 5, data including the flue gas composition, flue gas temperature, flue gas pressure, flue gas flow rate, absorption solution temperature, and absorption solution flow rate are used as predetermined state quantities to calculate the CO2 absorption amount of the capture equipment 2 (see FIG. 2). In addition, the heating power of the heat source 25 (see FIG. 2) at every moment is used to calculate the CO2 capture amount of the capture equipment 2. In addition, the overall power consumption of the capture equipment 2 at every moment is also input to the CO2 capture amount calculation unit 33. This power consumption value is used to determine whether the simulation results of the capture equipment 2 are consistent with the operating states of equipment such as pumps and heaters. Here, the flue gas composition, flue gas temperature, flue gas pressure, flue gas flow rate, absorption solution temperature, and absorption solution flow rate are state quantities related to the operation of the capture equipment 2. In addition, the heating power and power consumption are also state quantities related to the operation of the capture equipment 2.

[0041] The exhaust gas composition shown in FIG. 5 is information indicating the composition of the exhaust gas from the combustion device 1 (see FIG. 1). As information on such exhaust gas composition, the results of a simulation of the operation of the combustion device 1 are used as appropriate. Furthermore, the exhaust gas temperature, exhaust gas pressure, and exhaust gas flow rate are, in this order, the temperature, pressure, and flow rate of the exhaust gas from the combustion device 1. As these values, the results of a simulation of the operation of the combustion device 1 may be used, or measurements from a predetermined sensor (not shown) may be used.

[0042] The absorption liquid temperature shown in Fig. 5 is a measured temperature value of the absorption liquid (lean liquid) supplied to the absorption tower 21 (see Fig. 2). The absorption liquid flow rate is a measured flow rate value of the absorption liquid (lean liquid) supplied to the absorption tower 21. The CO2 recovery amount calculation unit 33 calculates the amount of carbon dioxide absorbed by the absorption liquid per unit time in the absorption tower 21 (see Fig. 2) (CO2 absorption amount) based on the flue gas composition, flue gas temperature, flue gas pressure, flue gas flow rate, absorption liquid temperature, and absorption liquid flow rate. Note that the method of calculating the CO2 absorption amount is well known, and therefore its description will be omitted.

[0043] The CO2 recovery amount calculation unit 33 calculates the amount of carbon dioxide separated from the absorbing solution per unit time (CO2 recovery amount) based on the measured value of the heating power at every moment when the absorbing solution is heated by the heat source 25 (see FIG. 2) of the regeneration tower 24 (see FIG. 2) and the above-mentioned CO2 recovery amount. The calculation result of the CO2 recovery amount calculation unit 33 (calculated value of the CO2 recovery amount) is used for diagnosing abnormalities in the carbon dioxide recovery system A1 (see FIG. 1). Although not shown in FIG. 5, the CO2 recovery amount calculation unit 33 also calculates values ​​of intermediate variables (see FIG. 6) described below as appropriate.

[0044] FIG. 6 is an explanatory diagram of the processing performed by the processing unit 30. As shown in Fig. 6, the calculated value of the CO2 recovery amount is output from the CO2 recovery amount calculation unit 33 to the system abnormality determination unit 34. In addition, the measured value of the CO2 recovery amount (the value measured by the recovery facility 2 in Fig. 2) is also output to the system abnormality determination unit 34. The system abnormality determination unit 34 determines whether or not there is an abnormality in the carbon dioxide recovery system A1 (see Fig. 1) based on a subtraction value, which is the value obtained by subtracting the measured value of the CO2 recovery amount from the calculated value of the CO2 recovery amount. The determination result of the system abnormality determination unit 34 is output to the abnormality identification unit 36.

[0045] As described above, the CO2 recovery amount calculation unit 33 calculates the CO2 recovery amount (see also FIG. 5), and in the process, the values ​​of predetermined intermediate variables are also calculated. That is, the calculated values ​​of one or more state quantities related to the operation of the recovery equipment 2 (calculated values ​​of the flow rate and temperature of the absorption liquid, etc.) are calculated as the values ​​of the predetermined intermediate variables by the CO2 recovery amount calculation unit 33. The values ​​of the intermediate variables calculated in this manner are output from the CO2 recovery amount calculation unit 33 to the recovery-side abnormality determination unit 35. Details of the intermediate variables will be described later.

[0046] The recovery-side abnormality determination unit 35 determines whether or not there is an abnormality in the recovery facility 2 (see FIG. 1 ) based on whether or not the difference between the calculated values ​​of each of the multiple intermediate variables and the actual measured values ​​is within a predetermined allowable range. The determination result of the recovery-side abnormality determination unit 35 is output to the abnormality identification unit 36.

[0047] The abnormality identification unit 36 ​​identifies where the abnormality is in the carbon dioxide capture system A1 based on the determination result of the system abnormality determination unit 34 and the determination result of the capture-side abnormality determination unit 35. Specifically, the abnormality identification unit 36 ​​identifies whether the abnormality is in the capture equipment 2 (see FIG. 1) or in the combustion of fuel in the combustion device 1 (see FIG. 1). Details of the processing by the abnormality identification unit 36 ​​will be described later.

[0048] The notification instruction unit 37 outputs a notification instruction for notifying an abnormality based on the processing result of the abnormality identification unit 36. The notification instruction from the notification instruction unit 37 is output to the display device 5 (see FIG. 3) or a predetermined alarm (not shown).

[0049] FIG. 7 is a flowchart of the processing executed by the processing unit (see also FIG. 3 as appropriate). It is assumed that the combustion device 1 (see FIG. 1) and the recovery facility 2 (see FIG. 1) are in operation during the execution of the series of processes in FIG. In step S101, the processing unit 30 reads data. That is, the processing unit 30 reads, as data to be used in the simulation, a plurality of sensor data acquired via the communication unit 10, as well as specification data of the combustion device 1 and the recovery facility 2, mathematical expressions indicating a predetermined physical model, and the like.

[0050] In step S102, the processing unit 30 executes a simulation of the operation of the combustion device 1 (see FIG. 1) and the recovery facility 2 (see FIG. 1) using the simulation execution unit 32. That is, the processing unit 30 executes a simulation of the operation of recovering carbon dioxide from the exhaust gas of the combustion device 1 by the recovery facility 2 (simulation processing).

[0051] It is preferable to set the simulation so that the longer the period of use of the absorbing liquid in the recovery facility 2, the lower the carbon dioxide absorption capacity of the absorbing liquid. This allows the tendency of gradual deterioration of the absorbing liquid in the recovery facility 2 to be reflected in the simulation, thereby improving the accuracy of the simulation. For example, a predetermined parameter indicating the carbon dioxide absorption capacity of the absorbing liquid may be included in the calculation formula for the amount of carbon dioxide absorption. In this case, the processing unit 30 may identify the value of the parameter corresponding to the period of use of the absorbing liquid from a predetermined data table (not shown) and substitute that value into the calculation formula for the amount of carbon dioxide absorption. The data table is preset so that the longer the period of use of the absorbing liquid, the smaller the parameter value.

[0052] Furthermore, it is preferable to set the simulation so that the closer the measured temperature value of the absorption liquid flowing into the absorption tower 21 (see FIG. 2) of the recovery facility 2 is to the first optimum temperature range, the higher the carbon dioxide absorption capacity of the absorption liquid. Here, the "first optimum temperature range" is a temperature range of the absorption liquid in which carbon dioxide absorption is likely to proceed, and is set in advance. By reflecting the measured temperature value of the absorption liquid in the carbon dioxide absorption capacity in this way, it is possible to improve the accuracy of the simulation.

[0053] Furthermore, it is preferable to set the simulation so that the closer the measured temperature value of the flue gas supplied from the combustion device 1 (see FIG. 1) to the recovery facility 2 (see FIG. 1) is to the second optimum temperature range, the higher the carbon dioxide absorption capacity of the absorption liquid. Here, the "second optimum temperature range" is a preset temperature range of the flue gas that facilitates the absorption of carbon dioxide in the absorption liquid. By reflecting the measured temperature value of the flue gas in this way in the carbon dioxide absorption capacity, it is possible to improve the accuracy of the simulation.

[0054] After the simulation is executed in this manner (S102), the processing of the processing unit 30 proceeds to step S103. In step S103, the processing unit 30 calculates the amount of CO2 captured in the capture equipment 2 (see FIG. 2) using the CO2 capture amount calculation unit 33. Note that the calculation of the CO2 capture amount is as described above (see FIG. 5), and therefore a description thereof will be omitted.

[0055] In step S104, the processing unit 30 determines, by the system abnormality determination unit 34, whether or not the subtraction value obtained by subtracting the measured value from the calculated value of the CO2 capture amount is equal to or greater than a predetermined value. That is, the processing unit 30 determines whether or not the subtraction value obtained by subtracting the measured value of the CO2 capture amount from the calculated value of the CO2 capture amount is equal to or greater than a predetermined value. The predetermined value is a threshold value that serves as a criterion for determining whether or not there is an abnormality in the carbon dioxide capture system A1 (see FIG. 1), and is set in advance. Note that the magnitude of this predetermined value (threshold value) may be adjusted as the simulation is repeated, and details of this will be described later.

[0056] In step S104, if the subtraction value obtained by subtracting the measured value from the calculated value of the CO2 recovery amount is less than a predetermined value (S104: No), the processing unit 30 ends the series of processes (END). In this case, it is highly likely that the carbon dioxide recovery system A1 (see FIG. 1) is operating normally. Also, in step S104, if the subtraction value obtained by subtracting the measured value from the calculated value of the CO2 recovery amount is equal to or greater than a predetermined value (S104: Yes), the processing unit 30 proceeds to step S105.

[0057] In step S105, the processing unit 30 causes the recovery-side abnormality determination unit 35 to perform a predetermined calculation process regarding the recovery facility 2. Details of the process in step S105 will be described later. Next, in step S106, the processing unit 30 determines whether or not there is an abnormality in the recovery facility 2 (see FIG. 1). If there is no abnormality in the recovery facility 2 in step S106 (S106: Yes), the processing of the processing unit 30 proceeds to step S107.

[0058] In step S107, the processing unit 30 determines, by the anomaly identification unit 36, that there is an abnormality in the combustion of fuel in the combustion device 1 (see FIG. 1). This is because if there is no particular abnormality in the recovery equipment 2 (S106: Yes), there is a high possibility that there is an abnormality upstream of it. Note that an abnormality in the combustion of fuel in the combustion device 1 can be either an abnormality in the combustion device 1 or an abnormality in the fuel composition, and these are determined based on the results of an inspection of the combustion device 1 and an analysis of the fuel composition.

[0059] For example, sulfur content (SO x When low-quality fuel containing an excessive amount of sulfur is used in the combustion device 1 (see FIG. 1), the sulfur content contained in the exhaust gas from the combustion device 1 is also introduced into the absorption tower 21 (see FIG. 2) of the recovery facility 2. As a result, the absorbing solution may deteriorate at a rate faster than normal. In other words, even if there is no particular abnormality in the recovery facility 2 (S106: Yes), if the deterioration rate of the absorbing solution used in the recovery facility 2 is faster than normal, it is determined that there is an abnormality in the combustion of the fuel in the combustion device 1 (S108), and more specifically, it is determined that there is an abnormality in the fuel composition.

[0060] In step S108, the processing unit 30 notifies the user of an abnormality in the combustion of fuel by the notification instruction unit 37. For example, the processing unit 30 causes the display device 5 to display a message such as "There is an abnormality in the combustion of fuel in the combustion device."

[0061] Regarding an abnormality in fuel combustion in the combustion device 1 (see FIG. 1), the processing unit 30 may be configured to display a message such as "There is an abnormality in the combustion device or fuel composition" on the display device 5. In other words, when reporting an abnormality in fuel combustion in the combustion device 1, the processing unit 30 may be configured to report that either an abnormality in the combustion device 1 or an abnormality in the composition of the fuel supplied to the combustion device 1 has occurred.

[0062] Furthermore, if there is an abnormality in the recovery facility 2 in step S106 (S106: No), the processing of the processing unit 30 proceeds to step S109. In step S109, the processing unit 30 notifies the abnormality in the recovery facility 2 via the notification instruction unit 37. For example, the processing unit 30 causes the display device 5 to display a message such as "There is an abnormality in the recovery facility 2." After performing the processing of step S108 or S109, the processing unit 30 ends the series of processes (END). Note that the series of processes shown in FIG. 7 may be repeated as required.

[0063] FIG. 8 is a flowchart showing the details of the process in step S105 in FIG. 7 (also see FIG. 3 as appropriate). In step S105a, the processing unit 30 acquires each measurement value related to the operation of the recovery facility 2 (see FIG. 2). To give a specific example, the processing unit 30 acquires sensor data including each detection value of the temperature sensors 3a, 3c, 3d, and 3f (see FIG. 2) and the flow rate sensors 3b and 3e (see FIG. 2) of the recovery facility 2 via the communication unit 10.

[0064] In step S105b, the processing unit 30 calculates each calculated value as the value of the intermediate variable (see FIG. 6). That is, the processing unit 30 calculates the calculated value of one or more state quantities related to the operation of the recovery facility 2 (see FIG. 2).

[0065] To give a specific example, the processing unit 30 calculates a calculated value Q_solv_1_est of the flow rate (quantity of state) of the absorbing liquid (rich liquid) flowing from the absorption tower 21 in FIG. 2 to the regenerator 24 via the regenerator heat exchanger 23, based on the following equation (1). Here, the subscript "est" indicates that this is a calculated value. Furthermore, Q_solv_2 included on the right side of equation (1) is the measured flow rate of the absorbing liquid (lean liquid) returning from the regenerator 24 to the absorption tower 21 via the regenerator heat exchanger 23. In other words, the measurement value of the flow rate sensor 3e in FIG. 2 is Q_solv_2. Furthermore, m_CO2_abs is the mass of carbon dioxide absorbed by the absorbing liquid in the absorption tower 21.

[0066] Q_solv_1_est=Q_solv_2+m_CO2_abs ···(1)

[0067] Furthermore, as one of the calculated values ​​in step S105b, the processing unit 30 also performs the following calculation. That is, the processing unit 30 calculates a calculated value Q_solv_2_est of the flow rate (quantity of state) of the absorbing solution (lean solution) returning to the absorber 21 from the regenerator 24 in FIG. 2 via the regenerative heat exchanger 23, based on the following equation (2). Note that Q_solv_1 included on the right side of equation (2) is the measured flow rate of the absorbing solution (rich solution) returning from the absorber 21 via the regenerative heat exchanger 23 to the regenerator 24. In other words, the measured value of the flow rate sensor 3b in FIG. 2 is Q_solv_1. Furthermore, m_CO2_div is the mass of carbon dioxide separated from the absorbing solution in the regenerator 24.

[0068] Q_solv_2_est=Q_solv_1-m_CO2_div ···(2)

[0069] Furthermore, as one of the calculated values ​​in step S105b, the processing unit 30 also performs the following calculation. That is, the processing unit 30 calculates a calculated value T_solv_3_est of the temperature (quantity of state) of the absorbing solution (rich solution) flowing from the absorber 21 in FIG. 2 to the regenerative heat exchanger 23 via the pipe K1, based on the following equation (3). Note that T_solv_1 included on the right side of equation (3) is the measured temperature value of the absorbing solution (lean solution) flowing from the regenerative heat exchanger 23 to the absorber 21 via the pipe K4. In other words, the measurement value of the temperature sensor 3f in FIG. 2 is T_solv_1. Furthermore, n_CO2_abs is the number of moles of carbon dioxide absorbed by the absorbing solution in the absorber 21. Furthermore, Q_react_h is the reaction heat per mole associated with the reaction between carbon dioxide and the components in the absorbing solution.

[0070] T_solv_3_est=T_solv_1+n_CO2_abs × Q_react_h ···(3)

[0071] Furthermore, as one of the calculated values ​​in step S105b, the processing unit 30 also performs the following calculation. That is, the processing unit 30 calculates a calculated value T_solv_4_est of the temperature (quantity of state) of the absorbing solution (lean solution) flowing from the regenerator 24 in FIG. 2 to the regenerative heat exchanger 23 via the pipe K3, based on the following equation (4). Note that T_solv_2 included on the right side of equation (4) is the measured temperature value of the absorbing solution (rich solution) flowing from the regenerative heat exchanger 23 to the regenerator 24 via the pipe K2. In other words, the measured value of the temperature sensor 3c in FIG. 2 is T_solv_2. Furthermore, n_CO2_div is the number of moles of carbon dioxide separated from the absorbing solution in the regenerator 24. The remaining Q_react_h is the same as that described in equation (3).

[0072] T_solv_4_est=T_solv_2-n_CO2_div × Q_react_h ···(4)

[0073] It is not necessary to calculate all of the above-mentioned formulas (1) to (4) as calculations of predetermined intermediate variables, and one or more of the formulas (1) to (4) may be used. Furthermore, calculations of other intermediate variables may be added as appropriate.

[0074] Next, in step S105c, the processing unit 30 calculates a difference value, which is a value of the difference between the calculated value and the measured value. For example, with regard to the flow rate (state quantity) of the absorbing liquid (rich liquid) flowing from the absorption tower 21 through the regenerative heat exchanger 23 to the regenerator 24, the processing unit 30 calculates a difference value ΔQ1 between the calculated value Q_solv_1_est of the following equation (1) and the measured value Q_solv_1 of the flow rate sensor 3b in FIG. 2, based on the following equation (5).

[0075] ΔQ1=Q_solv_1_est-Q_solv_1 ···(5)

[0076] In addition, the processing unit 30 calculates the difference value Q2 between the calculated value Q_solv_2_est of equation (2) and the measured value Q_solv_2 of the flow sensor 3e in Figure 2 regarding the flow rate (state quantity) of the absorption liquid (lean liquid) returning from the regeneration tower 24 to the absorption tower 21 via the regeneration heat exchanger 23, based on the following equation (6) (S105c).

[0077] ΔQ2=Q_solv_2_est-Q_solv_2 ···(6)

[0078] In addition, the processing unit 30 calculates the difference value ΔT3 between the calculated value T_solv_3_est of equation (3) and the measured value T_solv_3 of the temperature sensor 3a in Figure 2 regarding the temperature (state quantity) of the absorption liquid (rich liquid) flowing from the absorption tower 21 to the regenerative heat exchanger 23 via the pipe K1, based on the following equation (7) (S105c).

[0079] ΔT3=T_solv_3_est-T_solv_3 ···(7)

[0080] In addition, the processing unit 30 calculates the difference value ΔT4 between the calculated value T_solv_4_est of equation (4) and the measured value T_solv_4 of the temperature sensor 3d in Figure 2 regarding the temperature (state quantity) of the absorption liquid (lean liquid) flowing from the regeneration tower 24 to the regeneration heat exchanger 23 via piping K3, based on the following equation (8) (S105c).

[0081] ΔT4=T_solv_4_est-T_solv_4 ···(8)

[0082] Next, in step S105d, the processing unit 30 determines whether any of the difference values ​​between the calculated values ​​and the measured values ​​is equal to or greater than a predetermined value. That is, it determines whether any of the difference values ​​ΔQ1, ΔQ2, ΔT3, and ΔT4, which are the calculation results of each of the above-mentioned equations (5) to (8), is equal to or greater than a predetermined value. The above-mentioned predetermined value is a threshold value that serves as a criterion for determining whether or not there is an abnormality in the recovery facility 2 (see FIG. 2), and is set in advance in association with each of the equations (5) to (8).

[0083] In step S105d, if any of the difference values ​​between the calculated value and the measured value is equal to or greater than a predetermined value (outside the allowable range) (S105d: Yes), the processing unit 30 proceeds to step S105e. In step S105e, the processing unit 30 determines that there is an abnormality in the recovery equipment 2.

[0084] Furthermore, in step S105d, if there is no difference value between the calculated value and the measured value that is equal to or greater than the predetermined value (S105d: No), the processing of the processor 30 proceeds to step S105f. That is, if each of the difference values, which are the difference values ​​between the calculated value of one or more state quantities related to the operation of the recovery equipment 2 and the measured value of the state quantity, is less than a predetermined value (i.e., within a predetermined allowable range) (S105d: No), the processing of the processor 30 proceeds to step S105f. The allowable range is a predetermined numerical range indicating that the recovery equipment 2 is normal, and is set in advance. Furthermore, whether or not the difference value is within the allowable range is determined appropriately, for example, by determining whether or not the difference value between the calculated value Q_solv_1_est of the flow rate of the absorption liquid (rich liquid) heading to the regenerator 24 (see FIG. 2) and the measured value Q_solv_1 is within a predetermined allowable range.

[0085] In step S105f, the processing unit 30 determines that the recovery equipment 2 has no abnormality. After performing the process of step S105e or S105f, the process of the processing unit 30 proceeds to step S106 in FIG.

[0086] In this way, when the subtraction value, which is the value obtained by subtracting the measured value of the carbon dioxide recovery amount from the calculated value of the carbon dioxide recovery amount based on the simulation, is equal to or greater than a predetermined value (S104: Yes in FIG. 7), and when each of the difference values, which are the differences between the calculated values ​​of one or more state quantities related to the operation of the recovery equipment 2 and the measured values ​​of the state quantities, is less than a predetermined value (i.e., within a predetermined tolerance range) (S105d: No in FIG. 8), the processing unit 30 determines that there is no abnormality in the recovery equipment 2 (S105f) and that there is an abnormality in the fuel combustion in the combustion device 1 (S107 in FIG. 7). Then, the processing unit 30 notifies the user that there is an abnormality in the fuel combustion in the combustion device 1 (S108: notification process). This allows the user to know that there is an abnormality upstream of the recovery equipment 2 (in the combustion equipment 1 or the fuel composition) when the amount of carbon dioxide recovered in the recovery equipment 2 is less than expected (the calculated value).

[0087] Furthermore, when the subtraction value, which is the value obtained by subtracting the measured amount of carbon dioxide recovered from the calculated value of the amount of carbon dioxide recovered, is equal to or greater than a predetermined value (S104: Yes in FIG. 7), and when any of the difference values, which are the differences between the calculated values ​​of one or more state quantities related to the operation of the recovery equipment 2 and the measured values ​​of the state quantities, is equal to or greater than a predetermined value (i.e., outside the allowable range) (S105d: Yes in FIG. 8), the processing unit 30 determines that there is an abnormality in the recovery equipment 2 (S105e). Then, the processing unit 30 notifies the user that there is an abnormality in the recovery equipment 2 (S109 in FIG. 7). This allows the user to know that an abnormality has occurred in the recovery equipment 2 when the amount of carbon dioxide recovered in the recovery equipment 2 is less than expected (calculated value).

[0088] <Effects> According to this embodiment, when the amount of carbon dioxide actually captured by the capture equipment 2 is less than expected, and there is no abnormality in the capture equipment 2, a notification is issued that there is an abnormality in the fuel combustion in the combustion device 1. This allows the user to know that there is a high possibility that there is an abnormality in the combustion device 1 or the fuel composition, and therefore allows for prompt action such as maintenance to be taken.

[0089] <<Variations>> Although the abnormality diagnosis system B1 and the abnormality diagnosis method according to the present disclosure have been described in the above embodiments, the present disclosure is not limited to these descriptions and various modifications can be made. For example, in the embodiment, a case has been described in which the process of step S104 in Fig. 7 (determination process based on the subtraction value) is performed, followed by the process of step S105 (arithmetic process related to the capture facility 2: see also Fig. 8), but this is not limiting. That is, after the processing unit 30 performs the arithmetic process related to the capture facility 2 (S105), it may determine whether the subtraction value obtained by subtracting the measured value from the calculated value of the CO2 capture amount is equal to or greater than a predetermined value (S104). Even in this case, similar results can be obtained. In this way, the processing unit 30 simulates the operation of recovering carbon dioxide from the exhaust gas of the combustion device 1 using the recovery equipment 2 (S102 in Figure 7), and determines whether the subtraction value, which is the value obtained by subtracting the measured amount of carbon dioxide recovered from the calculated value of the amount of carbon dioxide recovered based on the simulation, is equal to or greater than a predetermined value (S104 in Figure 7), and determines whether each of the difference values, which are the values ​​of the difference between the calculated values ​​of one or more state quantities related to the operation of the recovery equipment 2 and the measured values ​​of those state quantities, is within a predetermined allowable range (S105d in Figure 8).

[0090] The processor 30 may also calculate the excess air ratio in the combustion device 1 through simulation. Here, the excess air ratio is the ratio of the actual amount of combustion air to the theoretical amount of air (theoretical value of the air amount) required for complete combustion of fuel in the combustion device 1. When the subtraction value, which is the value obtained by subtracting the measured amount of carbon dioxide recovery from the calculated amount of carbon dioxide recovery, is equal to or greater than a predetermined value, the processor 30 notifies the user that there is an abnormality in the combustion of fuel in the combustion device 1 if the difference values, which are the values ​​of the differences between the calculated values ​​of one or more state quantities related to the operation of the recovery equipment 2 and the measured values ​​of the state quantities, are each within an allowable range, and the excess air ratio is outside a predetermined range based on the specifications of the combustion device 1. This is because if the excess air ratio is outside the predetermined range based on the specifications of the combustion device 1, there is a high possibility that there is an abnormality upstream of the recovery equipment 2. This improves the diagnostic accuracy of the abnormality diagnosis system B1. Furthermore, when the subtraction value, which is the value obtained by subtracting the measured amount of carbon dioxide recovered from the calculated value of the amount of carbon dioxide recovered, is equal to or greater than a predetermined value, and each of the difference values ​​is within an allowable range, and further, the excess air ratio is within a predetermined range based on the specifications of the combustion device 1, the processing unit 30 may display a predetermined error message. This is because in this case, there is a high possibility that a measurement error or the like has occurred in the carbon dioxide recovery system A1.

[0091] Furthermore, as the processing unit 30 repeats the simulation, the threshold value (the predetermined value used in S104 of FIG. 7 ) of the difference value of the carbon dioxide capture amount (the difference value between the simulation result and the measurement value) may be adjusted by predetermined machine learning based on a comparison between its own (i.e., the processing unit 30's) diagnosis result and the actual state. For example, when the simulation is performed for the first time, the predetermined value may be set relatively large by a user's input operation based on the specification information of the capture equipment 2, and then the processing unit 30 may gradually decrease the predetermined value (i.e., gradually narrow the normal range of the carbon dioxide capture amount). Specifically, if the difference value, which is the difference value between the calculated value and the measurement value of the carbon dioxide capture amount, is equal to or less than the predetermined value and the carbon dioxide capture system A1 is diagnosed as normal, but there is actually an abnormality in the carbon dioxide capture system A1, the processing unit 30 decreases the predetermined value to narrow the normal range. Furthermore, if the diagnosis result based on the carbon dioxide capture amount is consistent with the actual state, the processing unit 30 maintains the predetermined value. Note that machine learning using AI (artificial intelligence) may be appropriately performed to adjust the predetermined value by the processing unit 30.

[0092] Furthermore, the process (the abnormality diagnosis method) executed by the abnormality diagnosis system B1 may be executed as a predetermined program on a computer. The program may be provided via a communication line or may be written to a recording medium such as a CD-ROM and distributed.

[0093] Furthermore, the present disclosure is not limited to the embodiments and includes various modifications. For example, the embodiments have been described in detail to clearly explain the present disclosure, and the present disclosure is not necessarily limited to those including all of the described configurations. Furthermore, it is possible to add, delete, or replace part of the configuration of the embodiments with other configurations.

[0094] Furthermore, the above-mentioned configurations, functions, processing units, processing means, etc. may be partly or entirely implemented in hardware, for example, by designing them as integrated circuits. Furthermore, the above-mentioned configurations, functions, etc. may be implemented in software, with a processor interpreting and executing a program that implements each function. Information such as the programs, tables, and files that implement each function can be stored in a memory, a recording device such as a hard disk or SSD (Solid State Drive), or a recording medium such as an IC card, SD card, or DVD.

[0095] In addition, the control lines and information lines shown are those that are considered necessary for the explanation, and do not necessarily show all the control lines and information lines in the product. In reality, it can be assumed that almost all components are interconnected. [Explanation of symbols]

[0096] 1 Combustion equipment 2. Recovery equipment 3a,3c,3d,3f Temperature sensor 3b,3e Flow sensor 4 Input Devices 5 Display device 10. Communications Department 20 Memory section 21 Absorption tower 22 Rich fluid pump 23 Regenerative heat exchanger 24 Regeneration Tower 25 Heat source 26 Lean fluid pump 30 Processing section 31 Data Acquisition Section 32 Simulation execution unit 33 CO2 recovery amount calculation unit 34 System abnormality determination unit 35 Recovery side abnormality determination unit 36 Abnormality identification part 37 Notification and instruction unit 100 Abnormality diagnosis device A1 Carbon dioxide capture system B1 Abnormality diagnosis system S102 Step (Simulation processing) S108 Step (Notification Processing)

Claims

1. An abnormality diagnosis system comprising: a processing unit that simulates operation of recovering carbon dioxide from exhaust gas of a combustion device using recovery equipment; and, based on the simulation, determines whether a subtraction value, which is a value obtained by subtracting a measured amount of carbon dioxide recovered from a calculated value of the amount of carbon dioxide recovered based on the simulation, is equal to or greater than a predetermined value; and determines whether each of the difference values, which is the value of the difference between the calculated value of one or more state quantities related to the operation of the recovery equipment and the measured value of the state quantity, is within a predetermined allowable range, and notifies the user that there is an abnormality in fuel combustion in the combustion device.

2. When the subtraction value is equal to or greater than the predetermined value, and any of the difference values ​​is outside the allowable range, the processing unit issues a notification that an abnormality has occurred in the recovery facility.

2. The abnormality diagnosis system according to claim 1,

3. When notifying an abnormality in the combustion of fuel in the combustion device, the processing unit notifies that an abnormality in either the combustion device or the composition of the fuel supplied to the combustion device has occurred.

2. The abnormality diagnosis system according to claim 1,

4. In the recovery facility, carbon dioxide contained in the exhaust gas from the combustion device is absorbed into an absorption liquid, and the absorption liquid is heated to separate the carbon dioxide. The simulation is set so that the longer the period of use of the absorption liquid in the recovery facility, the lower the carbon dioxide absorption capacity of the absorption liquid.

2. The abnormality diagnosis system according to claim 1,

5. In the recovery facility, carbon dioxide contained in the exhaust gas from the combustion device is absorbed into an absorption liquid, and the absorption liquid is heated to separate the carbon dioxide. The simulation is set so that the closer a measured temperature of the absorption liquid flowing into the absorption tower of the recovery facility is to a first optimum temperature range, the higher the carbon dioxide absorption capacity of the absorption liquid is.

2. The abnormality diagnosis system according to claim 1,

6. In the recovery facility, carbon dioxide contained in the exhaust gas from the combustion device is absorbed into an absorption liquid, and the absorption liquid is heated to separate the carbon dioxide. The simulation is set so that the closer a measured temperature value of the exhaust gas supplied from the combustion device to the recovery facility is to a second optimum temperature range, the higher the carbon dioxide absorption capacity of the absorption liquid.

2. The abnormality diagnosis system according to claim 1,

7. The processing unit adjusts the predetermined value by predetermined machine learning based on a comparison between its own diagnosis result and an actual state during the process of repeating the simulation.

2. The abnormality diagnosis system according to claim 1,

8. The processing unit calculating an excess air ratio in the combustion device by the simulation; When the subtraction value is equal to or greater than the predetermined value, each of the difference values ​​is within the allowable range, and further, when the excess air ratio is out of a predetermined range based on the specifications of the combustion device, a notification is issued that there is an abnormality in the combustion of fuel in the combustion device.

2. The abnormality diagnosis system according to claim 1,

9. A simulation process for simulating an operation of recovering carbon dioxide from exhaust gas of the combustion device using a recovery facility; an anomaly diagnosis method including: determining whether a subtraction value, which is a value obtained by subtracting a measured value of the amount of carbon dioxide recovered from a calculated value of the amount of carbon dioxide recovered based on the simulation, is equal to or greater than a predetermined value; and an alarm process that alerts that there is an abnormality in the combustion of fuel in the combustion device based on determining whether each of the difference values, which is the value of the difference between the calculated value of one or more state quantities related to the operation of the recovery equipment and the measured value of the state quantity, is within a predetermined allowable range.

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