JP2009097806A - Parameter computing device, parameter computing method, and parameter computing program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To compute more accurate natural reactivity of a fuel through a combustion simulation. <P>SOLUTION: This parameter computing method for a combustion simulation system receives an input of an initial parameter value of a frequency factor value expressing a constant of combustion speed of a fuel and an active energy value, arranges the parameter value in a two-dimensional space having frequency factor values and active energy values as two axes thereof, computes a parameter proposal value of the frequency factor value and the active energy value corresponding to a point within a range predetermined around the parameter value as the center point, compares simulation result data, based on the parameter proposal value with test data by a real device, determines a parameter proposal value having the minimum difference between the test data as a second parameter value, inputs the second parameter value determined by a data comparing means into a parameter computing means, and outputs an average value of the initial parameter value and the second parameter value as a value expressing natural reactivity. <P>COPYRIGHT: (C)2009,JPO&INPIT

Description

  The present invention relates to a parameter calculation device, a parameter calculation method, and a parameter calculation program for calculating parameters of intrinsic reactivity affecting solid fuel combustion.

  Conventionally, in order to efficiently burn a specific fuel in a specific boiler, an index value for indexing the optimum operating state of the boiler is measured. In order to measure such an index value, it is necessary to set various combustion conditions and perform various combustion experiments, which requires a great deal of labor and cost. For this reason, a method of simulating a combustion state using a computer based on experimental data has been proposed. For example, there is a combustion simulation system based on the development of CFD (Computational Fluid Dynamics) that expresses combustion characteristics numerically and simulates combustion.

In such a combustion simulation system, after selecting a structural model and a combustion model, various parameters of the selected model, boundary conditions, initial conditions, and the like are input, a combustion simulation based on those set values is performed. Such parameter combinations are enormous, and an apparatus for adjusting each parameter to an optimum value has been proposed (see, for example, Patent Document 1).
Japanese Patent No. 2688558

  However, there is a discrepancy between the simulation result value calculated in this way and the experimental data from the actual machine, particularly depending on the shape and size of the boiler. As shown in FIG. 1, the experimental data obtained by the experiment are the device structure such as the spatiality, size, and number of burners of the actual machine, and the operating conditions such as particle size distribution, oxygen concentration, pressure, temperature, velocity, turbulent velocity This is because the experimental results are obtained as experimental reactivity in which the conditions of the specific reactivity of the structure and components of the fuel are mixed. Here, in order to perform a general-purpose simulation with high reliability, it is desirable that the intrinsic reactivity of the fuel is appropriately calculated excluding the device structure and operation conditions.

  Conventionally, based on the calculated simulation result, the parameter is corrected by know-how and experience, and further simulation is performed using the corrected parameter, thereby calculating the parameter that seems to be optimal. However, when dealing with new coal types, even if there is such know-how and experience, it is very difficult to correct the error. Further, when the particle size, distribution, etc. of the fuel greatly affect the simulation result, the conventional know-how in coal cannot be applied as it is to the simulation of pulverized coal, for example. This is because the particle size distribution of the pulverized coal varies depending on the characteristics of the coal and the pulverization system, and the distribution of the volatile matter combustion model and the char combustion model differ.

  Such intrinsic reactivity of the fuel is determined by the structure and chemical composition of the coal and can be measured under certain combustion systems and operating conditions. Therefore, it is desirable to determine the intrinsic reactivity of coal after fully considering the influence from the apparatus structure and operating conditions as described above. For example, assuming a single average coal particle size, there is a method for determining the intrinsic reactivity of coal based on DTF (Drop Tube Furnace) experimental data by the Arrhenius plot method.

  However, in a recent paper by Ballester et al. (J. Ballester & S. Jimenez, Combustion and Flame 142 (2005) 210-222), the measurement of intrinsic reactivity by the Arrhenius plot method assuming a single average coal particle size is very accurate. Is suggested to be low. Ballester et al. Calculated the intrinsic reactivity of the coal (frequency factor Ac, activation energy Ec) from laminar flow DTF theoretical analysis based on all experimental data, taking into account the actual coal particle size distribution.

  Here, when specifying the combustion model, it is necessary to determine whether the flow in the DTF is laminar or turbulent. In the case of a non-reacting fluid, it can be determined from the inlet conditions that the region is a laminar flow region at an initial Reynolds number, but in the case of a reactive fluid, it cannot be determined only from the initial Reynolds number. Furthermore, in the pulverized coal combustion experiment, when coal particles introduced in a laminar flow are heated at a high temperature rise rate, volatile components are strongly ejected from the inside. This strongly disturbs the flow and becomes turbulent. However, in the theoretical analysis as described above, an analysis considering such a phenomenon cannot be performed.

  The present invention has been made in view of such a situation, and provides a parameter calculation method for calculating a parameter of intrinsic reactivity affecting the combustion of a solid fuel.

  In order to solve the above-described problems, the present invention is a parameter calculation device that calculates a parameter of intrinsic reactivity affecting combustion of a solid fuel using a combustion simulation system, and is a method for calculating the fuel under a predetermined condition. An input means for receiving an input of a first parameter value that is a value of a frequency factor value indicating a combustion rate constant and an activation energy value, and a first parameter value input to the input means, the frequency factor value and the activation Parameter candidates that are values of frequency factor values and activation energy values corresponding to points within a range determined from a point corresponding to the first parameter value, arranged in a two-dimensional space having energy values as two axes A parameter calculation means for calculating the value, and a simulation result data executed by the combustion simulation system based on the parameter candidate value calculated by the parameter calculation means. Data comparison means for comparing a parameter candidate value with the smallest difference between the simulation result data and the experimental data among the parameter candidate values as a second parameter value. Determining means for determining whether or not the difference between the second parameter value and the experimental data is equal to or less than a predetermined numerical value; and the determining means determines the difference between the second parameter value and the experimental data. Is determined to be equal to or less than a predetermined numerical value, the intrinsic reactivity value output means for outputting the second parameter value as a value indicating intrinsic reactivity, and the judging means includes the second parameter value, When it is determined that the difference from the experimental data is not less than a predetermined numerical value, the second parameter value is input as the first parameter value to the input means, and the input means and the parameter calculation means And a data comparing means, and the intrinsic reactivity value output means, characterized in that and a parameter regression means for operating repeatedly until the intrinsic reactivity value output means for outputting a value indicating the intrinsic reactivity.

  Further, according to the present invention, the parameter calculation apparatus described above operates the input means, the parameter calculation means, the data comparison means, the intrinsic reactivity value output means, and the parameter regression means for each of the plurality of conditions. An average intrinsic reactivity value output means for outputting all average values of the intrinsic reactivity values outputted for each of the plurality of conditions as intrinsic reactivity values is provided.

  Further, according to the present invention, the parameter calculation means described above is a parameter candidate value that is a value of a frequency factor value and an activation energy value corresponding to four points within a range determined from a point corresponding to the first parameter value. Is calculated.

  The present invention also relates to a parameter calculation method for calculating parameters of intrinsic reactivity affecting solid fuel combustion using a combustion simulation system, wherein the input means has a fuel combustion rate constant under a predetermined condition. A step of receiving an input of a first parameter value that is a value of a frequency factor value indicating activation energy value and a parameter calculation means, wherein the parameter calculation means converts the frequency parameter value and activity into the first parameter value input to the input means. A parameter which is a value of a frequency factor value and an activation energy value corresponding to a point within a range determined from a point corresponding to the first parameter value, arranged in a two-dimensional space having two activation energy values The step of calculating the candidate value and the data comparison means perform a simulation executed by the combustion simulation system based on the parameter candidate value calculated by the parameter calculation means. And determining the parameter candidate value having the smallest difference between the simulation result data and the experimental data as the second parameter value among the parameter candidate values. A step of determining whether or not a difference between the second parameter value and the experimental data is equal to or less than a predetermined numerical value; and a step of determining the second parameter value and the experimental data. And the step of outputting the second parameter value as a value indicating the intrinsic reactivity when the difference between and is determined to be equal to or less than a predetermined numerical value; If the determination means determines that the difference between the second parameter value and the experimental data is not less than a predetermined numerical value, the second parameter value is input to the input means. Input as the first parameter value, and repeat the input means, parameter calculation means, data comparison means, and intrinsic reactivity value output means until the intrinsic reactivity value output means outputs a value indicating intrinsic reactivity And the step of operating.

  In addition, the present invention provides a computer that calculates a parameter of intrinsic reactivity affecting combustion of solid fuel using a combustion simulation system, and a frequency factor indicating the combustion rate constant of fuel under predetermined conditions by an input means. A step of accepting an input of a first parameter value which is a value of the value and the activation energy value; and a parameter calculation means comprising the first parameter value inputted to the input means as a frequency factor value and an activation energy value. Parameter candidate values, which are values of frequency factor values and activation energy values corresponding to points within a range determined from the points corresponding to the first parameter values, are arranged in a two-dimensional space with two axes as And a simulation executed by the combustion simulation system based on the parameter candidate value calculated by the parameter calculating means. Comparing the result data with the experimental data from the actual machine under the conditions, and determining, as the second parameter value, the parameter candidate value having the smallest difference between the simulation result data and the experimental data among the parameter candidate values; A step of determining whether or not a difference between the second parameter value and the experimental data is equal to or less than a predetermined numerical value; and the determination unit determines whether the second parameter value and the experimental data are When it is determined that the difference is equal to or less than a predetermined numerical value, the intrinsic reactivity value output means outputs the second parameter value as a value indicating intrinsic reactivity, and the parameter regression means, When the determination means determines that the difference between the second parameter value and the experimental data is not less than a predetermined numerical value, the second parameter value is input to the input means as the first parameter. Input data, parameter calculation means, data comparison means, and intrinsic reactivity value output means until the intrinsic reactivity value output means outputs a value indicating intrinsic reactivity. And a parameter calculating program for executing the step.

  As described above, according to the present invention, the frequency factor value indicating the intrinsic reactivity of the fuel and the activation energy value are regressed based on the simulation result data executed by the combustion simulation system and the experimental data obtained from the actual machine. Therefore, it is possible to obtain highly reliable intrinsic reactivity based on experimental reactivity.

Hereinafter, an embodiment of the present invention will be described with reference to the drawings.
FIG. 2 is a block diagram illustrating a configuration of the parameter calculation apparatus 100 according to the present embodiment.
The parameter calculation apparatus 100 includes an input unit 101, a parameter calculation unit 102, a data comparison unit 103, a simulation execution unit 104, a parameter regression unit 105, and an intrinsic reactivity value output unit 106.

The input unit 101 receives input of parameter values such as a frequency factor value indicating the combustion rate constant of the fuel and an activation energy value of the fuel, and experimental data that is a combustion experiment result by an actual boiler.
The parameter calculation unit 102 arranges the parameter value input to the input unit 101 in a two-dimensional space having the frequency factor value and the activation energy value as two axes, and is within a range determined from the point corresponding to the parameter value. A parameter candidate value that is a value of the frequency factor value and the activation energy value corresponding to the point is calculated. For example, the parameter calculation unit 102 points the parameter value input from the input unit 101 in a two-dimensional space having the frequency factor value (Ac) and the activation energy value (Ec) as two axes as shown in FIG. arranged as P _n, around the point _{P n,} it defines a point _{P n-n,} frequency factor value corresponding to the point _{P n-n} (Ac) and the activation energy values (Ec) to the value of parameter candidate values for Calculate as In this embodiment, as shown in FIG. 3, parameter candidate values are calculated by a four-point approach method in which four points around the parameter value are selected as parameter candidate values.

Based on the parameter candidate value calculated by the parameter calculation unit 102, the data comparison unit 103 compares the simulation result data executed by the combustion simulation system with the experimental data from the actual machine, and among the parameter candidate values, the simulation result data The parameter candidate value having the smallest difference between the test data and the experimental data is determined as the second parameter value. Furthermore, the data comparison unit 103 determines whether or not the difference between the second parameter value and the experimental data is equal to or less than a predetermined numerical value (for example, 10 ⁻⁶ ).

The simulation execution unit 104 can communicate with the combustion simulation system 200, operates the combustion simulation system 200 based on the combustion model and various parameters set by the user, and acquires the simulation result value output by the combustion simulation system 200. .
The combustion simulation system 200 stores in advance a plurality of combustion models and calculation formulas in accordance with CFD (Computational Fluid Dynamics). The user selects a combustion model, various parameters of the selected model, boundary conditions, It accepts input of set values such as initial conditions, predicts combustion based on the set values by calculation using a combustion model of numerical fluid dynamics, and outputs a simulation result value such as an unburned rate.

The parameter regression unit 105 inputs the second parameter value to the input unit 101 when the data comparison unit 103 determines that the difference between the second parameter value and the experimental data is not less than a predetermined numerical value. The parameter calculation process is repeated until the intrinsic reactivity value output unit 106 outputs a value indicating intrinsic reactivity.
When the data comparison unit 103 determines that the difference between the second parameter value and the experimental data is equal to or less than a predetermined numerical value, the intrinsic reactivity value output unit 106 assigns the second parameter value Output as a value indicating reactivity. Furthermore, when the parameter calculation process is performed based on a plurality of conditions, the intrinsic reactivity value output unit 106 calculates an average reactivity of all the intrinsic reactivity values output for each of the conditions. Output as a value.

Next, an operation example in which the parameter calculation apparatus 100 according to the present invention calculates an optimum parameter will be described.
First, the user determines conditions such as a reaction rate for calculating a parameter. During the DTF numerical simulation, the user selects a pulverized coal combustion model stored in advance in the combustion simulation system 200. For example, the following equation (1) is selected as a volatile combustion model.

Where Kv is the coal volatilization rate (1 / S), T _p , V ^* , V is the particle surface temperature (K), the total amount of volatiles in the coal (kg), and the amount of volatiles released (kg ) And R is the gas constant (Universal gas constant) (J / (molK)). Av and Ev are a frequency factor and activation energy which are volatile matter release rate parameters.
Further, the following equation (2) is selected as the char combustion model.

Here, C is the mass of the char (kg), P _O2 is the partial pressure (Pa) of oxygen in the combustion gas, and Kd and Kr are the chemical reaction rates ((kg / m ² s) / Pa), and the diffusion rate of oxygen to the char surface ((kg / m ² S) / Pa). Tg, C1 and Dp are the ambient gas temperature (K), gas diffusion coefficient, and particle diameter (m), respectively. Ac and Ec are the frequency factor ((kg / m ² S) / Pa) and the activation energy (J / mol) of the char combustion rate constant, respectively.

  In addition, it is necessary to specify the initial parameters of the pulverized coal combustion model. In general, since the intrinsic reactivity of new coal is unknown, initial parameters must be predicted. As the predicted value approaches the intrinsic reactivity of the new coal, the wasteful work of the DTF numerical simulation decreases and the prediction accuracy increases. Therefore, setting initial parameters correctly greatly affects the efficiency and accuracy of numerical simulations for DTF systems and existing thermal combustion systems. Such initial parameters are set based on experimental data, or parameter values calculated by a theoretical analysis program based on the experimental unburned rate in DTF are used. In addition, the user performs an experiment using a boiler actual machine based on such conditions, and acquires experimental data. Here, the experimental data is, for example, a value indicating an unburned rate when a specific reaction distance is set as a specific condition.

An example of operation in which the parameter calculation apparatus 100 according to the present invention calculates an optimum parameter under the above condition setting will be described with reference to FIG.
The user inputs experimental data from the actual boiler under specific conditions to the input unit 101 (step S1). Then, the user inputs the initial parameter value P ₀ (Ac, 0; Ec, 0) determined as described above to the input unit 101 of the parameter calculation device 100. The simulation execution unit 104 inputs the input initial parameter value to the combustion simulation system 200 and executes the simulation (step S2). Then, the data comparison unit 103 compares the simulation result value output from the combustion simulation system 200 with the experimental data value input in step S1 (step S3).

If the data comparison unit 103 determines in step S3 that the error between the simulation result value and the experimental data value is within a predetermined range (step S3-YES), the intrinsic reactivity value output unit 106 The initial parameter value input in step S2 is output as an intrinsic reactivity value (step S7). On the other hand, if the data comparison unit 103 determines in step S3 that the error between the simulation result value and the experimental data value is not within a predetermined range (step S3-NO), the parameter calculation unit 102 determines that FIG. As shown, the initial parameter value P ₀ input to the parameter calculation apparatus 100 is plotted as a point P ₀ on coordinates with Ac as the vertical axis and Ec as the horizontal axis. Then, according to the user input, the parameter calculation unit 102 sets parameter values (Ac values,) corresponding to the four points around the point P ₀ (P _0-1 , P _0-2 , P _0-3 , P _0-4 ). Ec value) is calculated (step S4). Then, the simulation execution unit 104 sets parameter values corresponding to each of the four surrounding points, causes the combustion simulation system 200 to execute the simulation, and obtains a simulation result value (convergence solution) (step S5).

The data comparison unit 103, among the simulated these four points to the simulation executing unit 104, the point difference between the simulation result value and the experimental data is smallest _{P N-n} (in FIG. 3, the point _{P 0-2)} Is specified (step S6). Then, the data comparison unit 103 compares the simulation result value corresponding to the point (P _N−n ) specified in step S6 with the experimental data value input in step S1 (step S3). Here, if the data comparison unit 103 determines that the error between the simulation result value and the experimental data value corresponding to the point (P _N−n ) specified in step S6 is within a predetermined range ( In step S3-YES), the intrinsic reactivity value output unit 106 outputs the parameter values (Ac, N; Ec, N) corresponding to the point (P _N-n ) specified in step S6 input in step S2. It outputs as an intrinsic reactivity value (step S7).

On the other hand, if the data comparison unit 103 determines in step S3 that the error between the simulation result value and the experimental data value is not within a predetermined range, the parameter regression unit 105 is identified in step S6 ( P _N−n ) (point P _{1 in} FIG. 3) (Ac, N; Ec, N) (in FIG. 3, (Ac, 1; Ec, 1)) is input to the input unit 101. To do.

Then, as described above, the parameter calculation unit 102 plots the input parameter value P _N (Ac, N; Ec, N) on coordinates where Ac is the vertical axis and Ec is the horizontal axis, and the parameter calculation unit 102 calculates the corresponding parameter values around four points of points _{P N (P N-1,} P N-2, P N-3, P N-4) (Ac value, Ec value) (step S4) The simulation execution unit 104 sets parameter values corresponding to each of the four surrounding points, causes the combustion simulation system 200 to execute the simulation, and obtains a simulation result value (convergence solution) (step S5). Then, the data comparison unit 103 specifies a point P _N−n having the smallest difference between the simulation result value and the experimental data among these four points simulated by the simulation execution unit 104, and the difference is determined in advance. If it is within the specified range, the parameter value (Ac, N; Ec, N) corresponding to the point P _N-n is output as the intrinsic reactivity value. The processing up to step S6 is repeated.

In the present embodiment, at step S4, the parameter calculation unit 102 is set to be selected around four points of points P _N as a parameter candidate value, such parameter candidate values is not 4 points, 1 It may be a point, three points, or other plural points.
The parameter calculation apparatus 100 may perform such parameter calculation processing for each of a plurality of conditions, and output an average value of a plurality of parameter calculation results as an intrinsic reactivity value. In this case, the intrinsic reactivity value output unit 106 uses the following equation (3) to calculate each parameter value (P ₀ (Ac, 0; Ec, 0), P ₁ (Ac, 1; Ec, 1), P ₂ (Ac, 2; Ec, 2)) is calculated and output as the intrinsic reactivity value.

The intrinsic reactivity value obtained in this way is a highly accurate value that eliminates the influence of the device structure, operating conditions, etc. as much as possible. For example, FIG. 5 is a diagram illustrating a result of performing a combustion simulation of Blair sole (BA) charcoal according to the present invention. Since the char flammability obtained by the analysis method according to the prior art is not unique and is affected by various combustion systems and operating conditions, the simulation results by such an analysis method are experimental values. Greatly deviated from. On the other hand, the effective data obtained by this experiment has higher accuracy than the conventional technology.
By using the intrinsic reactivity value calculated in this way, it is possible to determine the reaction constant of the solid fuel that is not affected by the boiler characteristics and its operating conditions, and the solid fuel reactivity can be obtained in combustion apparatuses other than the experimental apparatus. Can be evaluated appropriately.

  It should be noted that the program for realizing the function of the processing unit in the present invention is recorded on a computer-readable recording medium, and the program recorded on the recording medium is read into the computer system and executed to perform parameter calculation. May be. Here, the “computer system” includes an OS and hardware such as peripheral devices. The “computer system” includes a WWW system having a homepage providing environment (or display environment). The “computer-readable recording medium” refers to a storage device such as a flexible medium, a magneto-optical disk, a portable medium such as a ROM and a CD-ROM, and a hard disk incorporated in a computer system. Further, the “computer-readable recording medium” refers to a volatile memory (RAM) in a computer system that becomes a server or a client when a program is transmitted via a network such as the Internet or a communication line such as a telephone line. In addition, those holding programs for a certain period of time are also included.

  The program may be transmitted from a computer system storing the program in a storage device or the like to another computer system via a transmission medium or by a transmission wave in the transmission medium. Here, the “transmission medium” for transmitting the program refers to a medium having a function of transmitting information, such as a network (communication network) such as the Internet or a communication line (communication line) such as a telephone line. The program may be for realizing a part of the functions described above. Furthermore, what can implement | achieve the function mentioned above in combination with the program already recorded on the computer system, and what is called a difference file (difference program) may be sufficient.

It is a figure which shows the correlation with the experimental reactivity in a combustion experiment, an apparatus structure, operating conditions, and intrinsic reactivity. It is a figure which shows the structure of the parameter calculation apparatus by one Embodiment of this invention. It is a figure which shows the two-dimensional space used for the parameter calculation by one Embodiment of this invention. It is a flowchart which shows the operation example of the parameter calculation apparatus by one Embodiment of this invention. It is a figure which shows the simulation result by the Example of this invention.

Explanation of symbols

DESCRIPTION OF SYMBOLS 100 Parameter calculation apparatus 101 Input part 102 Parameter calculation part 103 Data comparison part 104 Simulation execution part 105 Parameter regression part 106 Intrinsic reactivity value output part 200 Combustion simulation system

Claims (5)

A parameter calculation device for calculating a parameter of intrinsic reactivity affecting combustion of solid fuel using a combustion simulation system,
Input means for receiving an input of a first parameter value that is a value of a frequency factor value indicating a combustion rate constant of fuel under a predetermined condition and an activation energy value;
A first parameter value input to the input means is arranged in a two-dimensional space having a frequency factor value and an activation energy value as two axes, and a range determined from a point corresponding to the first parameter value Parameter calculation means for calculating a parameter candidate value that is a value of a frequency factor value and an activation energy value corresponding to a point in
The simulation result data executed by the combustion simulation system based on the parameter candidate value calculated by the parameter calculation means is compared with experimental data by an actual machine under the conditions, and the simulation is performed among the parameter candidate values. Data comparison means for determining the parameter candidate value having the smallest difference between the result data and the experimental data as the second parameter value;
Determining means for determining whether a difference between the second parameter value and the experimental data is equal to or less than a predetermined numerical value;
When the determination unit determines that the difference between the second parameter value and the experimental data is equal to or less than a predetermined numerical value, the second parameter value is output as a value indicating intrinsic reactivity. An intrinsic reactivity value output means,
When the determination means determines that the difference between the second parameter value and the experimental data is not less than a predetermined numerical value, the second parameter value is input to the input means as the first parameter. As a value, the input means, the parameter calculation means, the data comparison means, and the intrinsic reactivity value output means, and the intrinsic reactivity value output means outputs a value indicating the intrinsic reactivity. Parameter regression means to operate repeatedly until
A parameter calculation apparatus comprising: For each of the plurality of conditions, the input means, the parameter calculation means, the data comparison means, the intrinsic reactivity value output means, and the parameter regression means are operated, and for each of the plurality of conditions. An average intrinsic reactivity value output means for outputting all average values of the outputted intrinsic reactivity values as intrinsic reactivity values;
The parameter calculation apparatus according to claim 1, further comprising: The parameter calculation means calculates a parameter candidate value that is a value of a frequency factor value and an activation energy value corresponding to four points within a range determined from a point corresponding to the first parameter value. The parameter calculation apparatus according to claim 1 or 2. A parameter calculation method for calculating parameters of intrinsic reactivity affecting combustion of solid fuel using a combustion simulation system,
A step of receiving an input of a first parameter value that is a value of a frequency factor value indicating a combustion rate constant of fuel under a predetermined condition and an activation energy value;
The parameter calculation means arranges the first parameter value input to the input means in a two-dimensional space having a frequency factor value and an activation energy value as two axes, and corresponds to the first parameter value. Calculating a parameter candidate value that is a value of a frequency factor value and an activation energy value corresponding to a point within a range determined from
The data comparison means compares the simulation result data executed by the combustion simulation system based on the parameter candidate value calculated by the parameter calculation means with the experimental data by the actual machine under the conditions, and the parameter candidate value Determining a parameter candidate value having the smallest difference between the simulation result data and the experimental data as a second parameter value;
A step of determining whether the difference between the second parameter value and the experimental data is equal to or less than a predetermined numerical value;
When the determination means determines that the difference between the second parameter value and the experimental data is equal to or less than a predetermined numerical value, the intrinsic reactivity value output means sets the second parameter value to Outputting as a value indicating intrinsic reactivity;
When the parameter regression means determines that the difference between the second parameter value and the experimental data is not less than a predetermined numerical value, the parameter regression means sends the second parameter value to the input means. Input as a first parameter value, the input means, the parameter calculation means, the data comparison means, and the intrinsic reactivity value output means, the intrinsic reactivity value output means indicates the intrinsic reactivity Repeatedly operating until a value is output;
A parameter calculation method comprising: A computer that calculates parameters of intrinsic reactivity on solid fuel combustion using a combustion simulation system.
A step of receiving an input of a first parameter value that is a value of a frequency factor value indicating a combustion rate constant of fuel under a predetermined condition and an activation energy value;
The parameter calculation means arranges the first parameter value input to the input means in a two-dimensional space having a frequency factor value and an activation energy value as two axes, and corresponds to the first parameter value. Calculating a parameter candidate value that is a value of a frequency factor value and an activation energy value corresponding to a point within a range determined from
The data comparison means compares the simulation result data executed by the combustion simulation system based on the parameter candidate value calculated by the parameter calculation means with the experimental data by the actual machine under the conditions, and the parameter candidate value Determining a parameter candidate value having the smallest difference between the simulation result data and the experimental data as a second parameter value;
A step of determining whether the difference between the second parameter value and the experimental data is equal to or less than a predetermined numerical value;
When the determination means determines that the difference between the second parameter value and the experimental data is equal to or less than a predetermined numerical value, the intrinsic reactivity value output means sets the second parameter value to Outputting as a value indicating intrinsic reactivity;
When the parameter regression means determines that the difference between the second parameter value and the experimental data is not less than a predetermined numerical value, the parameter regression means sends the second parameter value to the input means. Input as a first parameter value, the input means, the parameter calculation means, the data comparison means, and the intrinsic reactivity value output means, the intrinsic reactivity value output means indicates the intrinsic reactivity Repeatedly operating until a value is output;
Parameter calculation program for executing

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