JP5197032B2 - Combustion state simulation method, program, storage medium, and combustion state simulation apparatus - Google Patents

Description

  The present invention relates to a combustion state simulation method, a program, a storage medium, and a combustion state simulation device for simulating a combustion state of fuel burned by a power generation facility or the like.

  Conventionally, in order to burn fuel safely and efficiently in a power plant or the like, a system for evaluating the operating status of the combustion equipment that is owned is installed. As such a system, for example, a coal property evaluation apparatus, a coal property evaluation method, and a computer program for evaluating coal properties (see Patent Document 1) capable of evaluating the property of coal have been proposed. The system is a mechanism that can reduce the burden on the operator by evaluating the suitability of the use of coal, especially when blended with each combustion facility.

  In the system described above, it is merely a matter of determining whether or not coal is used in the combustion facility. Therefore, it is not possible to comprehensively evaluate the state of the facility, and includes the entire facility. It could not be used for grasping the condition.

  On the other hand, an in silo coal quality simulator (see Patent Document 2) that performs a simulation to formulate an operation plan for a combustion facility has also been proposed. Since this system is for estimating the state of coal ash accumulated in each silo of a coal fired boiler, the operating status of the equipment based on the combustion state of the coal in each equipment before actually burning the coal It could not be used for the purpose of grasping and supporting safe and efficient driving.

  In addition to the above-described system, for example, a system that merely evaluates the operating status of the power generation facility is used. However, operations such as input are complicated, and past results can be managed as data. Since it was a mechanism that could not be performed, it could not be used for the work of qualitatively judging how the operation status according to the combustion state changes, and was not practical.

JP 2007-115203 A (Claims etc.) JP 2004-198017 A (Claims etc.)

  In view of such circumstances, the present invention easily predicts the combustion state in a combustion facility when a desired coal type is burned as fuel, and obtains information for supporting safe and efficient operation of the entire facility. An object of the present invention is to provide a combustion state simulation method, a program, a storage medium, and a combustion state simulation apparatus.

In order to achieve the above object, the first aspect of the present invention supports operation by predicting the combustion state when a desired coal type is burned based on combustion data indicating past combustion records for a specific facility. A combustion state simulation method for setting a facility for burning coal, a condition input step for inputting a coal type to be burned by the facility and a mixing ratio of the coal type as a combustion condition, By comparing each property data of the coal type based on the analysis result and each property data extracted from the database in which the combustion data is accumulated, the similarity is calculated, and the similarity to the desired coal coal type is calculated. and coal species selection step identical or most similar degree to select a high coal species from said combustion data, by setting the coal type of property data selected in the coal type selection step as a parameter, the combustion A prediction step of predicting the state phenomenon for each device and simulating the operation status in the facility; calculating prediction data for each device in the facility and evaluating each monitoring item; and The combustion state simulation method includes an evaluation step for comprehensively evaluating the operation status of the entire equipment according to the degree and the evaluation result.

In the first aspect, it is possible to easily grasp the equipment status from the predicted combustion state, and it is possible to easily obtain information that can support the operation so that the equipment is in an optimum situation. In addition, because evaluation is performed according to the importance of the monitoring items based on the prediction data, for example, to grasp the matters to be monitored intensively based on the prediction data that differs depending on the difference in fuel, equipment, etc. Becomes easy. Furthermore, when executing the simulation, the coal type can be selected relatively easily based on the similarity.

  The second aspect of the present invention compares the predicted data with the actual combustion data to determine whether or not the difference between the two is within a predetermined value. When it is determined that the difference is not within the predetermined value, The combustion state simulation method according to the first aspect, further comprising a correction step of outputting optimum value data in which a correction coefficient corresponding to a difference is added to the prediction data.

  In the second aspect, the simulation accuracy is improved by feeding back the simulation result, and a more reliable prediction result can be obtained. Further, the output optimum value is accumulated in a database and managed as performance data, so that it can be utilized as information for supporting safe and efficient operation of the entire facility.

According to a third aspect of the present invention, in the evaluation step, based on the calculated prediction data, the prediction of how to cope with various effects of the equipment based on the predicted behavior of each device and the influence caused by the predictable situation is displayed. In the combustion state simulation method according to the first or second aspect, the map is output.

In such a third aspect, the phenomenon that can be predicted from the prediction data is output in a prediction map that shows the state of the facility and the arrangement relationship of each device, so that the operation support of the entire facility can be performed more safely and reliably. it can.

A fourth aspect of the present invention, the computer is in the program for executing the respective steps of a combustion state simulation method according to the first to third any one embodiment.

In the fourth aspect, it is possible to easily predict the combustion state in the combustion facility when the desired coal type is burned as fuel, and to obtain information for supporting safe and efficient operation of the entire facility. A program that can be provided can be provided.

According to a fifth aspect of the present invention, there is provided a computer storing a program for causing a computer to execute each step of the combustion state simulation method described in any one of the first to third aspects. It is in a readable storage medium.

In the fifth aspect, it is possible to easily predict the combustion state in the combustion facility when the desired coal coal type is burned as fuel, and to obtain information for supporting safe and efficient operation of the entire facility. It is possible to provide a storage medium in which a program that can be stored is stored.

According to a sixth aspect of the present invention, in a combustion state simulation apparatus that supports operation by predicting a combustion state in a combustion facility when a desired coal type is burned, combustion data indicating past combustion records for a specific facility A condition input means for setting a facility for burning coal, a facility for burning coal, and a coal type to be burned in the facility as a combustion condition and a mixing ratio of the coal species, and a result of analysis of the coal analyzed in advance. A comparison is made by comparing each property data of the coal type based on each property data extracted from the database, and a coal type having the same or highest similarity to the desired coal type is calculated. wherein the coal type selecting means for selecting from the combustion data, it sets the coal type of property data selected in the coal type selecting means as a parameter to predict the behavior of the combustion state for each device Prediction means for simulating the operation status in the facility, and predicting data for each device in the facility to evaluate each monitoring item, and the entire facility according to the importance of the monitoring item and the evaluation result When the evaluation means for comprehensively evaluating the operation status and the prediction data and the actual combustion data are compared to determine whether or not the difference between them is within a predetermined value, and when it is determined that the difference is not within the predetermined value The combustion state simulation apparatus includes a correction unit that calculates optimum value data in which a correction coefficient corresponding to a difference is added to the prediction data and updates the database.

In the sixth aspect, it is possible to easily predict the combustion state in the combustion facility when a desired coal type is burned as fuel, and to obtain information for supporting safe and efficient operation of the entire facility. In addition, it is possible to provide an apparatus that can easily execute simulation to support safe driving while improving simulation accuracy. Furthermore, when executing the simulation, the coal type can be selected relatively easily based on the similarity.

  According to the present invention, when a desired coal type is burned as a fuel, information for easily predicting a combustion state of a different combustion facility depending on a difference in fuel and supporting safe and efficient operation of the entire facility. Can provide a combustion state simulation method, a program, a storage medium, and a combustion state simulation apparatus.

  Hereinafter, the best mode for carrying out the present invention will be described. The description of the present embodiment is an exemplification, and the present invention is not limited to the following description.

(Embodiment 1)
FIG. 1 is a system configuration diagram of a combustion state simulation apparatus according to the present embodiment. Note that this embodiment assumes a power generation facility as a target combustion facility, and realizes support of actual operation by predicting the combustion state in the combustion facility when a desired coal type is burned. To do.

  As shown in the figure, the combustion state simulation device 10 of the present embodiment includes a condition input means 20, a CPU 30, a storage device 40, and an output device 50. Among these, the CPU 30 includes a coal type selection unit 31, a prediction unit 32, an evaluation unit 33, and a correction unit 34, and executes processing corresponding to a so-called computer control unit and calculation unit.

  Specifically, the coal type selection means 31 stores each property data of the coal type based on the analysis result of the coal analyzed in advance stored in the analysis result database 42 and each property data extracted from the result database 41. In comparison, the type of coal to be simulated is selected by collating (matching) each property data with reference to the correlation between the type of coal and the mixing ratio of the types of coal.

  The predicting unit 32 sets the property data of the coal type selected by the coal type selecting unit 31 as a parameter, predicts the phenomenon of the combustion state for each device, and simulates the operating state in the facility.

  The evaluation means 33 calculates prediction data for each device in the facility and evaluates each monitoring item, and comprehensively evaluates the operating status of the entire facility according to the importance of the monitoring item and its evaluation result.

  The correction means 34 compares the prediction data based on the simulation result with the actual combustion data to determine whether or not the difference between the two is within a predetermined value. Optimal value data obtained by adding a correction coefficient corresponding to the above to the prediction data is calculated, and a predetermined database is updated. The database here may be a storage medium dedicated to storing optimum parameters designed by aggregating optimum value data, or may be a storage medium provided in the storage device 40 described above. . Thereby, it is possible to improve the accuracy of the simulation by utilizing the optimum value data.

  Each of these means 31 to 34 is implemented as a program executed by the combustion state simulation apparatus 10. However, each of these means 31 to 34 is not limited to being executed as one program. For example, each means 31 to 34 may be an individual program executed by the information processing apparatus, or may be configured by hardware such as an electronic circuit.

  On the other hand, the storage device 40 includes a performance database (illustrated as “DB”) 41 and an analysis result database (illustrated as “DB”) 42, and stores various data necessary for executing a simulation of the combustion state. Store (details will be described later).

  The condition input unit 20 and the output device 50 execute processes corresponding to a keyboard and mouse for inputting various data, and a display and printer for outputting various data, respectively.

  Specifically, the condition input means 20 sets equipment for burning coal, and inputs a coal type to be burned by the equipment and a mixing ratio of the coal types as combustion conditions.

  On the other hand, the output device 50 outputs, on a screen display or a printed matter, a prediction map on which a countermeasure method related to effects caused by various situations of the equipment based on the behavior of each device predicted from the simulation result and a situation that can be predicted is displayed.

  Here, the facility used as the object when the combustion state simulation apparatus 10 mentioned above performs simulation is demonstrated. FIG. 2 is a conceptual diagram showing a combustion facility to be simulated according to the present embodiment.

  As shown in the figure, a combustion facility 100 to be simulated basically includes various devices necessary for burning fuel to be coal in a power generation facility or the like.

  Examples of equipment installed in the combustion facility 100 include a bunker 101, a coal feeder 102, a mill 103, an air heater (AH) 104, a forced draft fan (FDF) 105, a primary ventilator (PAF) 106, and a boiler 107. , Clinker hopper 108, additional air (AA) 109, denitration device 110, heat recovery device (GGH) 111, electrostatic precipitator (EP) 112, induction ventilator (IDF) 113, desulfurization device 114, booster fan (BUF) 115, chimney 116, and the like, and these devices are organically coupled so that coal can be burned as fuel. In addition, since the function of each apparatus mentioned above is generally known, description is abbreviate | omitted.

  A facility configured to include a wastewater treatment facility and an ash treatment facility (not shown) in the combustion facility 100 illustrated in FIG. 2 is operated as a power generation facility.

  Here, the data stored in the above-mentioned performance database 41 and analysis result database 42 will be described. FIG. 3 is a diagram illustrating an example of the data structure of the performance database according to the present embodiment, and FIG. 4 is a diagram illustrating an example of the data structure of the analysis result database according to the present embodiment.

The performance database 41 stores combustion data indicating past combustion records for a specific facility. Specifically, as shown in FIG. 3, coal type (brand and ratio), atmospheric temperature when burning the coal type, calorific value, moisture, ash, volatiles, unburned ash, flammability index, Ignition index, HGI, selenium, arsenic, slagging, fouling, coal supply, table differential pressure, hot air damper opening, cold air damper opening, FDF blade opening, PAF blade opening, IDF blades opening, ECO outlet gas O ₂ deviations, AA damper angle (left / right), RH Pasugasudanpa angle (left / right), denitrification inlet NO _X (A / B), clinker hopper processing count, EP charged rate, absorption Each item including the tower circulation pump moving blade opening degree, the amount of treated water, the front stream side clinker adhesion tendency, and the rear stream side clinker adhesion tendency is associated and stored for each date indicating the date and time.

  Each of these items is a value measured based on the behavior of each device installed in the combustion facility 100 illustrated in FIG. 2, and when burning with coal as fuel at the atmospheric temperature shown in the above item, It is a value that changes according to the brand of the coal type and its mixing ratio. Also, whether the operating state of each device is good or bad is evaluated and recorded according to a predetermined standard.

  As described above, the operating state of each device changes between a good state and a bad state depending on the combustion state of the fuel (coal species and mixing ratio), and thus the devices and elements that affect the operation of the combustion facility 100 are changed. By specifying and accumulating in the performance database 41 as performance data, it can be utilized for grasping the state of each device due to the difference in fuel.

  On the other hand, the analysis result database 42 stores analysis results relating to the quality of coal types (mainly new coal types that have not been burned in the past). Specifically, as shown in FIG. 4 (a), for a specific coal type, high calorific value, moisture, total moisture, industrial analysis, fuel ratio, HGI, elemental analysis, ash melting point, ash composition, An analysis is performed for each item consisting of a granularity. Of these, industrial analysis is classified into items consisting of intrinsic moisture, ash, volatiles, fixed carbon, and total sulfur, and elemental analysis includes carbon, hydrogen, oxygen, nitrogen, sulfur, chlorine, boron, fluorine, selenium, and arsenic. The ash melting point is classified into items consisting of softening point, melting point, and melting point, and the ash composition is classified into items consisting of basic, acidic, and others, and the particle size is 50 mm or less or 2 mm or less. It is classified.

  In this embodiment, the property data for the coal type analyzed according to the items as described above is compared with the combustion data stored in the result database 41, and the coal type to be simulated is selected. The simulation process is executed.

  Further, as shown in FIG. 4B, the combustion conditions for executing the simulation are as follows. The coal type and the mixing ratio thereof, the atmospheric temperature when the coal type is burned, and the mill used to specify the equipment are the condition input means 20. The simulation process is started.

  Next, a simulation method executed by the combustion state simulation apparatus 10 having the above-described configuration will be described.

  FIG. 5 is a flowchart showing the procedure of the combustion state simulation according to this embodiment, and FIG. 6 is a flowchart showing the simulation result feedback processing according to this embodiment.

  As shown in FIG. 5, first, the combustion equipment is set by the condition input means 20 and the combustion conditions are input (S1). The input conditions input here are items illustrated in FIG. 4B. Then, actual combustion data and new coal type data related to a new coal type that has not been burned in the past are extracted from both the results database 41 and the analysis result database 42, and both are collated (S2). Is calculated (S3). Here, the calculation of the similarity is executed as shown in FIG. Moreover, the formula (1) illustrated below is used for calculation of similarity.

ここで、式（１）中のＳは類似度、ｎは各性状のデータ数、αは各性状データに付加される重み、Ｘは分析結果による各性状データ、Ｙは蓄積された過去実績に基づく各性状データを示す。このようにして、類似度は、各性状データにおける数値の差分をとり、１００から差分データの合計を引くことで計算できる。

Here, in Equation (1), S is the similarity, n is the number of data of each property, α is the weight added to each property data, X is each property data based on the analysis result, and Y is the accumulated past performance. Each property data is shown. In this way, the similarity can be calculated by taking a numerical difference in each property data and subtracting the sum of the difference data from 100.

  Then, a coal type is selected based on the calculated similarity (S4). The method for selecting the coal type is performed by extracting a coal type having the same or the highest similarity to the new coal type in the properties of the coal. In the example shown in FIG. 7, the coal type of data A having the highest similarity is selected. Here, it is assumed that the coal with the same degree of similarity as the new coal type is a coal type that has been burned in the past, but even in such a case, it is based on the years of use of equipment such as aging deterioration. Usage conditions are taken into account based on past combustion data.

  For the coal type selected in step S4, the property data is set as a parameter as the coal type to be simulated, so that the combustion state by the selected coal type is predicted (S5), and the prediction data is calculated ( S6).

  Here, the prediction data is calculated for each device in the facility and evaluated based on each monitoring item (S7). The evaluation criteria at this time are combustion characteristics as illustrated in FIGS. 8 and 9, and the evaluation of each device and the entire facility is executed based on each fuel characteristic. FIG. 8 illustrates characteristics based on the relationship between the calorific value and HGI, and characteristics based on the relationship between the calorific value and moisture characteristics, and FIG. 9 illustrates the relationship between the fuel ratio and the calorific value. The characteristics based on the relationship between the HGI and the fuel ratio are exemplified.

  The prediction data calculated as described above and the evaluation based on the prediction data are created as a prediction map (S8) and output or displayed by the output device 50 (S9). Here, the prediction map is a map on which various measures of equipment based on the predicted behavior of each device based on the calculated prediction data or evaluation and a coping method related to the influence caused by the predictable situation are displayed. 10 is preferably a map or a drawing showing the state of equipment and the arrangement relationship of devices.

  The prediction data calculated in step S6 is fed back to the performance database 41 and used for data correction (S10).

  Here, the feedback processing in step S10 will be described with reference to FIG. First, the calculated prediction data and actual combustion data are compared (S11), and the difference between the two is calculated (S12). Then, it is determined whether or not the calculated difference is within a predetermined value (S13).

  At this time, if it is determined that it is not within the predetermined value (S14; Yes), a correction coefficient corresponding to the difference is added to the prediction data (S15), and optimum value data is calculated (S16). The optimum value data calculated here may be designed as an optimum parameter for executing a simulation by storing and managing the optimum value data in the optimization database 43, for example. The optimization database 43 may be installed inside the storage device 40 or may be installed outside.

  As described above, by adding a parameter such as a weight as a correction coefficient according to an error between the prediction data and the actual combustion data, the data can be optimized and the simulation accuracy can be improved.

  Here, the prediction map mentioned above is demonstrated concretely. FIG. 10 is an overall schematic diagram of a prediction map based on the simulation result according to the present embodiment, and FIGS. 11, 12, and 13 are partially enlarged views of the prediction map based on the simulation result according to the present embodiment. .

  FIG. 10 shows an overall view of the above-described prediction map. This prediction map is created based on the arrangement relationship of each device of the combustion facility 100 illustrated in FIG. Among these, FIG. 11 shows each device arranged in the path from the boiler 107 to the chimney 116, and the prediction data for these devices, the evaluation criteria for evaluating the prediction data, and the evaluation results are sequentially displayed. It is displayed. In addition, since the points to be preferentially clarified from the evaluation results, for example, by displaying them as precautions in the prediction map, attention is given according to the type of coal and the state of equipment during actual combustion. It becomes possible to do.

  In the example shown in FIG. 11, regarding the boiler 107, the angle of additional air (AA) (can right / can left), fouling property, slagging property, fuel ratio, number of clinker hopper treatments, clinker on the upstream side and the downstream side The evaluation for each element based on the prediction data of the adhesion tendency, the RH pass gas opening (can right / can left), and the state of the ECO outlet gas is displayed.

Further, the predicted data of the inlet NO _X with respect to the denitration apparatus 110, an electrostatic precipitator (EP) prediction data of the charged ratio with respect to 112, prediction data of the moving blade opening with respect to the induced draft fan (IDF) 113, the desulfurization unit 114 Is displayed for each element based on the prediction data of the absorption tower circulation pump blade opening.

Further, in the above-described prediction map, display may be performed so that the notes are automatically described according to the evaluation result. In the example shown in FIG. 11, as the guidelines for coal type combustion, ammonia when the evaluation of the NO _X generation amount is not very good, appears that the note denitration doorway amount of NO _X, the evaluation of fouling If it is not good, a notice that the clinker adheres to the downstream side is displayed, and if the evaluation of slagging is not very good, a notice that the clinker adheres to the upstream side is displayed. When the evaluation of the charge rate of (EP) is not so good, it is displayed that attention should be paid to the amount of dust. By displaying such precautions, when actually burning a desired coal type, a location to be monitored with priority is clarified, and troubles can be prevented.

  On the other hand, in the example shown in FIG. 12, each device arranged on the route from the bunker 101 to the boiler 107 is shown. As in FIG. 11, prediction data for each device, evaluation criteria for evaluating the prediction data, And the evaluation result is displayed sequentially. For example, for the bunker 101, calorific value, moisture, HGI, ignitability index, volatile content, combustibility index, and ash content prediction data, for the coal feeder 102, coal supply amount prediction data, and for the mill 103, table differential pressure Prediction data for the air heater (AH) 104, prediction data for the hot air damper opening and the cold air damper opening, and prediction of the moving blade opening for the forced draft fan (FDF) 105 and the primary ventilator (PAF) 106. The evaluation of each element based on the data is displayed.

  Further, in the example shown in FIG. 13, as the equipment for constituting the power generation equipment, as for the wastewater treatment equipment 120, the predicted amount of treated water and the number of separation membrane devices used, the ash treatment equipment 121 is unburned, selenium and arsenic The evaluation for each element based on the predicted data is displayed. Furthermore, the evaluation based on the performance of each apparatus mentioned above is displayed as comprehensive evaluation of the whole installation.

  From the above, in the combustion state simulation apparatus 10 of the present embodiment, for example, even when a coal type that has not been burned in the past is burned, based on past fuel data, analysis data of the coal type, and the like. By executing the simulation, the combustion state of the combustion facility 100 due to the difference in fuel can be predicted in advance. In addition, the predicted results are created as a prediction map in which the state of equipment and the arrangement relationship of equipment are specified so that workers and the like can easily recognize visually, so that efficient operation of equipment can be supported. It can be used as possible information.

  In addition, even when burning coal types that have been burned in the past, matters to be aware of during actual operation differ due to aging of the equipment, etc., so it is based on monitoring according to individual equipment. It can also support safe driving.

  Furthermore, in the present embodiment, the predicted data that has been predicted is feedback-processed and optimized in comparison with the actual combustion data. Therefore, the data is effectively used according to various results (simulation processing, actual combustion). However, the simulation accuracy can be improved.

It is a system configuration figure of the combustion state simulation device concerning this embodiment. It is a conceptual diagram which shows the combustion equipment used as the simulation object which concerns on this embodiment. It is a figure which shows an example of the data structure of the performance database which concerns on this embodiment. It is a figure which shows an example of the data structure of the analysis result database which concerns on this embodiment. It is a flowchart which shows the process sequence of the combustion state simulation which concerns on this embodiment. It is a flowchart which shows the feedback process of the simulation result which concerns on this embodiment. It is a figure explaining the calculation method of the similarity in the simulation process which concerns on this embodiment. It is a figure which shows an example of the evaluation criteria of the simulation result which concerns on this embodiment. It is a figure which shows an example of the evaluation criteria of the simulation result which concerns on this embodiment. It is the whole schematic map of the prediction map based on the simulation result concerning this embodiment. It is the elements on larger scale of the prediction map based on the simulation result concerning this embodiment. It is the elements on larger scale of the prediction map based on the simulation result concerning this embodiment. It is the elements on larger scale of the prediction map based on the simulation result concerning this embodiment.

Explanation of symbols

DESCRIPTION OF SYMBOLS 10 Combustion state simulation apparatus 20 Input condition means 30 CPU
31 Coal type selection means 32 Prediction means 33 Evaluation means 34 Correction means 40 Storage device 41 Results database 42 Analysis result database 50 Output device 100 Combustion equipment 101 Bunker 102 Coal feeder 103 Mill 104 Air heater 105 Pushing fan 106 Primary ventilator 107 Boiler 108 Clinker hopper 109 Additional air 110 Denitration device 111 Heat recovery device 112 Electric dust collector 113 Induction ventilator 114 Desulfurization device 115 Booster fan 116 Chimney 120 Wastewater treatment facility 121 Ash processing facility

Claims (6)

A combustion state simulation method for predicting a combustion state when a desired coal coal type is burned based on combustion data indicating a past combustion record for a specific facility and supporting operation,
A condition input step of setting equipment for burning coal and inputting a coal type to be burned in the equipment as a combustion condition and a mixing ratio of the coal types;
The desired coal coal is calculated by comparing each property data of the coal type based on the analysis result of the coal analyzed in advance and each property data extracted from the database in which the combustion data is accumulated. A coal type selection step for selecting from the combustion data a coal type having the same or highest similarity to the species,
A prediction step of setting the property data of the coal type selected in the coal type selection step as a parameter, predicting the phenomenon of the combustion state for each device and simulating the operation status in the facility,
An evaluation step for calculating prediction data for each device in the facility and evaluating each monitoring item, and comprehensively evaluating the operation status of the entire facility according to the importance of the monitoring item and the evaluation result A combustion state simulation method characterized by comprising:   The prediction data and actual combustion data are compared to determine whether or not the difference between the two is within a predetermined value. If it is determined that the difference is not within the predetermined value, a correction coefficient corresponding to the difference is calculated as the prediction coefficient. The combustion state simulation method according to claim 1, further comprising a correction step of outputting optimum value data added to the data. The evaluation step outputs, based on the calculated prediction data, a prediction map in which a state of equipment based on the predicted behavior of each device and a coping method related to an effect caused by a state that can be predicted are displayed. The combustion state simulation method according to claim 1 or 2 . The computer program for executing the respective steps of a combustion state simulation method according to any one of claims 1 to 3. A computer- readable storage medium storing a program for causing a computer to execute each step of the combustion state simulation method according to any one of claims 1 to 3 . In the combustion state simulation device that supports the operation by predicting the combustion state in the combustion facility when burning the desired coal coal type,
A database storing combustion data showing past combustion records for a particular facility;
Condition input means for setting the equipment for burning coal and inputting the coal type to be burned in the equipment as a combustion condition and the mixing ratio of the coal type;
Comparing each property data of the coal type based on the analysis result of the coal analyzed in advance and each property data extracted from the database, the similarity is calculated, and the similarity to the desired coal coal type is calculated. A coal type selection means for selecting the same or most similar coal type from the combustion data ;
Prediction means for setting the property data of the coal type selected by the coal type selection means as a parameter, predicting the phenomenon of the combustion state for each device, and simulating the operation status in the facility,
An evaluation unit that evaluates each monitoring item by calculating prediction data for each device in the facility, and comprehensively evaluates the operating status of the entire facility according to the importance of the monitoring item and the evaluation result;
The prediction data and actual combustion data are compared to determine whether or not the difference between the two is within a predetermined value. If it is determined that the difference is not within the predetermined value, a correction coefficient corresponding to the difference is calculated as the prediction coefficient. A combustion state simulation apparatus comprising: correction means for calculating optimum value data added to the data and updating the database.

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