JP2005291630A - Stock level estimation method, stock level estimation program, stock level estimation device, and method of operating waste gasification melting furnace - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a stock level estimation method capable of providing a stock level in a short cycle, a stock level estimation program, a stock level estimation device, and a method of operating a waste gasification melting furnace in the waste gasification melting furnace gasifying and melting waste. <P>SOLUTION: This stock level estimation method for estimating a stock level based on a simulation model comprises an input layer generating step for expressing a stacked layer as a stacked model formed of a plurality of layers, generating a new layer for each specified cycle on the uppermost part of the stacked model, and relating information on an inputted material charged in the furnace within a specified cycle, a layer thickness calculation step for calculating amounts of wastes and melting assist materials reduced by its reaction with oxygen blown from a tuyere thereinn for each specified cycle, updating information on the inputted material of a layer positioned at the lowermost layer of the in-furnace stacked model, and eliminating a layer positioned at the lowermost layer, a layer thickness calculation step for calculating a layer thickness for each layer, and a level calculation step for calculating the stock level by estimating layer thickness data for each layer. <P>COPYRIGHT: (C)2006,JPO&NCIPI

Description

  The present invention relates to a technique for grasping a stock level in a melting furnace in a waste gasification melting furnace for gasifying and melting waste.

  In a waste gasification melting furnace, waste is introduced into the furnace together with auxiliary materials for melting such as coke and limestone from the top of the furnace. These charges are deposited in the furnace, descended in the furnace while being dry-distilled and heated by the high temperature gas from the lower part of the furnace, and finally, the ash content of the input becomes molten slag of about 1500 to 1600 ° C. It is discharged out of the system. When this slag temperature is high, the consumption rate of the refractory at the bottom of the furnace is increased, and when the slag temperature is low, slag discharge is delayed due to a decrease in slag viscosity, making it difficult to maintain operation.

  On the other hand, the pile height of the input (hereinafter referred to as the stock level) is related to the residence time of the charge in the furnace, and the residence time in the furnace affects the temperature rise of the charge. Receive. Therefore, always grasping the stock level correctly and stabilizing the stock level are important in stabilizing the operation state.

Conventionally, a sounding type level meter (hereinafter referred to as "sounding") that drops weights is used to measure the stock level, but the rope that suspends the sounding weight by the heat and corrosive gas in the furnace. It has been pointed out that there is a problem that the life of the sensor is short and the measurement is limited to a 15 minute pitch. Then, the method of watering toward a cable body at the time of stock level measurement is proposed (for example, refer to patent documents 1).
JP 2003-172509 A

  However, the technique disclosed in Patent Document 1 can extend the life of sounding, but does not require maintenance. Moreover, since the thermal influence in the furnace is reduced by applying cooling, the measurement interval can be shortened, but the measurement interval is compared with the general waste input cycle (continuous to 5 minute cycle). long. Therefore, it has been insufficient for finely monitoring and controlling the stock level.

  There is a method of using a microwave radar that can measure the stock level continuously instead of sounding for the measurement of the stock level. However, there are problems to be solved in terms of reduction in measurement accuracy due to dust and cost.

  The present invention has been made in view of such circumstances, and in a waste gasification melting furnace for gasifying and melting waste, a stock level estimation method and a stock level estimation program capable of grasping a stock level in a short cycle An object of the present invention is to provide a stock level estimation device and a waste gasification melting furnace operating method.

  In order to solve the above-mentioned problems, the stock level estimation method according to claim 1 of the present invention is a method in which waste and melting auxiliary materials are introduced into the furnace body from the furnace inlet, and a high-temperature reaction zone is formed in the lower part of the furnace. A waste layer is formed on the high temperature reaction zone, and has tuyere that blows oxygen-containing gas into the high temperature reaction zone, the waste is thermally decomposed to melt its pyrolysis residue, A method for estimating the stock level of a waste gasification melting furnace that discharges the melt from the outlet, and based on a model that simulates the process in the furnace, the waste and melting auxiliary materials that are input are Estimate the stock level, which is the height of the deposited layer formed in the furnace.

  Further, the stock level estimation method according to claim 2 of the present invention is the stock level estimation method according to the above-described invention, wherein the model includes waste and molten material charged into the furnace at predetermined intervals. A generation step for generating data including the layer thickness of the layer formed in the furnace by the auxiliary material, and a model generation step for generating an in-furnace deposition model in which the data for each layer is arranged in the order in which they are charged in the furnace; Calculate the amount of waste and melting auxiliary material that reacts with oxygen blown from the tuyere to reduce the layer thickness data of the layer located at the bottom layer of the in-furnace deposition model, or located at the bottom layer An erasing step for erasing the layer data, and a level calculating step for calculating the stock level by integrating the layer thickness data for each layer.

  The stock level estimation method according to claim 3 of the present invention is the stock level estimation method according to the invention described above, wherein the model is formed by depositing the deposited layer in a height direction of a furnace. Express as a deposition model, and for each given period, create a new layer at the top of the deposition model and associate the new layer with information about the charge charged into the furnace within the prescribed period The input layer generation step and the input of the layer located at the lowest layer of the in-furnace deposition model by calculating the amount of waste and melting auxiliary materials that decrease in response to oxygen blown from the tuyere at a predetermined period The melted layer processing step for updating information related to the object or erasing the layer located at the lowest layer, the layer thickness calculating step for calculating the layer thickness for each layer, and the layer thickness data for each layer are accumulated and stored. level And a level calculating step of calculating.

  The stock level estimation method according to claim 4 of the present invention is the stock level estimation method according to the invention described above, wherein the model relates to a generated gas input from a lower boundary surface of each layer for each layer. The method further includes a dry-distilled layer calculation step for performing calculation based on the information to obtain information on the input material remaining in the layer and information on generated gas output from the upper boundary surface of the layer.

  The stock level estimation method according to claim 5 of the present invention is the stock level estimation method according to the invention described above, wherein the layer thickness calculation step includes the weight and volume of the respective inputs remaining in the layer. The layer thickness is calculated based on the information on the density and the inner diameter shape of the furnace.

  According to a sixth aspect of the present invention, there is provided a program according to the present invention, wherein waste and melting auxiliary materials are introduced into the furnace body from the furnace inlet, and a high temperature reaction zone is formed in the lower part of the furnace. Waste having a waste layer formed and having tuyere that blows oxygen-containing gas into the high-temperature reaction zone, pyrolyzing the waste, melting the pyrolysis residue, and discharging the melt from the outlet This is a program that estimates the stock level of a waste gasification melting furnace, and based on a model that simulates the process in the furnace, the height of the deposited layer formed in the furnace by the waste and melting auxiliary materials that are input materials Let the computer execute the step of estimating the stock level.

  According to a seventh aspect of the present invention, there is provided the program according to the above-described invention, wherein the model is configured such that the waste and the melting auxiliary material charged in the furnace are placed in the furnace every predetermined period. A generation step for generating data including the layer thickness of the layer to be formed, a model generation step for generating an in-furnace deposition model in which the data for each layer is arranged in the order in which they are placed in the furnace, and blown from the tuyere Calculate the amount of waste and melting aids that will decrease in response to oxygen to reduce the layer thickness data for the bottom layer in the furnace deposition model, or erase the bottom layer data The computer executes an erasing step and a level calculating step for calculating the stock level by integrating the layer thickness data for each layer.

  The program according to claim 8 of the present invention is the program according to the above-described invention, wherein the model represents the deposition layer as a deposition model in which a plurality of layers are deposited in the height direction of the furnace. An input layer generation step for generating a new layer at the top of the deposition model for each period and associating the new layer with information about the input charged into the furnace within the predetermined period; Update the information on the input of the layer located in the lowest layer of the in-furnace deposition model by calculating the amount of waste and melting auxiliary material that reacts with the oxygen blown from the tuyere and decreases at predetermined intervals. Or a molten layer processing step for erasing a layer located at the lowest layer, a layer thickness calculating step for calculating a layer thickness for each layer, and a level calculation for calculating a stock level by integrating the layer thickness data for each layer Ste To execute and up to a computer.

  The program according to claim 9 of the present invention is the program according to the above-described invention, wherein the model calculates, for each layer, based on information about a generated gas input from a lower boundary surface of the layer. Then, the computer is further caused to perform a dry distillation layer calculation step for obtaining information on the input material remaining in the layer and information on the generated gas output from the upper boundary surface of the layer.

  According to a tenth aspect of the present invention, there is provided a stock level estimation apparatus according to the present invention, wherein waste and melting auxiliary materials are introduced into a furnace body from a furnace inlet, and a high temperature reaction zone is formed at the lower part of the furnace. A waste layer is formed on the top, and has a tuyere that blows oxygen-containing gas into the high-temperature reaction zone, the waste is pyrolyzed to melt the pyrolysis residue, and the melt is discharged from the outlet. This is a stock level estimation device for waste gasification and melting furnace to be discharged, and based on a model that simulates the process in the furnace, the height of the deposited layer formed in the furnace by the waste and melting auxiliary material as input A stock level estimation device comprising means for estimating the stock level.

  The stock level estimation apparatus according to claim 11 of the present invention is the stock level estimation apparatus according to the above-described invention, wherein the model is configured such that the waste and molten material charged into the furnace are melted at predetermined intervals. Generating means for generating data including the layer thickness of the layer formed in the furnace by the auxiliary material, and model generating means for generating an in-furnace deposition model in which the data for each layer is arranged in the order charged in the furnace; Calculate the amount of waste and melting auxiliary material that reacts with oxygen blown from the tuyere to reduce the layer thickness data of the layer located at the bottom layer of the in-furnace deposition model, or located at the bottom layer Erasing means for erasing layer data and level calculating means for calculating the stock level by integrating the layer thickness data for each layer.

  The stock level estimation apparatus according to claim 12 of the present invention is the stock level estimation apparatus according to the invention described above, wherein the model is formed by depositing the deposited layer in a height direction of a furnace. Express as a deposition model, and for each given period, create a new layer at the top of the deposition model and associate the new layer with information about the charge charged into the furnace within the prescribed period The input layer generating means and the input of the layer located at the lowest layer of the in-furnace deposition model by calculating the amount of waste and melting auxiliary materials that decrease in response to oxygen blown from the tuyere at a predetermined period The melted layer processing means for updating information on the object or erasing the layer located at the lowest layer, the layer thickness calculating means for calculating the layer thickness for each of the layers, and the layer thickness data for each layer are accumulated and stocked Calculate the level And a bell calculating means.

  According to a thirteenth aspect of the present invention, there is provided a waste gasification and melting furnace operating method, wherein the stock level is estimated using the stock level estimation method according to the invention described above, and the stock level is a first predetermined value. When the level is lower than the level, at least one operation of increasing the input and increasing the oxygen-containing gas is performed. When the stock level is higher than the second predetermined level, the input is increased. At least one operation of reducing the amount of oxygen and reducing the oxygen-containing gas.

  According to the present invention, the stock level can be grasped in a short cycle.

[First Embodiment]
FIG. 1 is a diagram showing a configuration of a waste gasification melting furnace to which a stock level estimation method according to a first embodiment of the present invention is applied.

  A furnace body 1 of a shaft-type waste gasification melting furnace is filled with a deposition layer 2 formed of waste and a melting auxiliary material such as coke and limestone.

  At the top of the furnace body 1 is provided an inlet 3 for waste and a melting auxiliary material such as coke and limestone, and a weighing device 5 is disposed of the waste, coke, A raw material such as limestone is weighed to a predetermined mixing ratio, and the raw material mixed by the charging device 6 is charged into the furnace.

  A thermometer 7 is provided in the measuring part of the furnace body 1 to measure the gas temperature above the deposition layer 2. In addition, a main tuyere 10 for injecting an oxygen-containing gas is provided at a lower side of the furnace body 1. A main tuyere blower fan 11 is connected to the main tuyere 10 and oxygen-enriched air having a predetermined concentration is blown from the main tuyere 10. An oxygen-containing gas flow meter 12 and an oxygen concentration meter 13 are provided in the oxygen-containing gas flow path.

  On the side wall in the vicinity of the furnace bottom portion of the furnace body 1, an outlet 16 is provided for discharging the melt (slag) 15 accumulated in the furnace bottom from the furnace.

  The central control device 20 collects each process signal of the waste gasification melting furnace and controls a facility of the waste gasification melting furnace with a DCS (Digital Control System) equipped with a GUI (Graphical User Interface). ) Device. The central control apparatus 20 is connected to a stock level estimation calculation computer 21. The stock level estimation calculation computer 21 calculates a stock level based on each process signal.

  Subsequently, the gasification melting process will be described.

  In this gasification melting furnace, waste is introduced from the upper part of the furnace together with auxiliary materials for melting such as coke and limestone. These inputs are dry-distilled and heated by the high-temperature gas from the lower part of the furnace, and only the fixed carbon and ash are lowered to the height of the main tuyere 10 at the lower part of the furnace.

  The oxygen-enriched air sent by the main tuyere blower fan 11 reacts with the fixed carbon in the waste and coke to generate high-temperature main tuyere combustion gas. The generated high-temperature gas rises while passing through the charge deposit layer 2 in the furnace. At this time, heat exchange is performed with the deposit layer 2. The charge is charged at approximately room temperature, but due to the temperature rise due to this heat exchange and combustible gas combustion, moisture evaporates in a temperature range of about 100 ° C. or lower, and dry distillation is performed in a temperature range of about 100 ° C. to Eventually, the ash content of the charge becomes molten slag 15 having a temperature of about 1500 to 1600 ° C. and is discharged out of the system.

  In addition, the slag temperature varies depending on the pile height (stock level) of the input. The stock level is related to the heating time of the charge layer (residence time in the furnace) and affects the slag temperature. When the stock level fluctuates, the heat exchange time with the input layer fluctuates, and the slag temperature fluctuates. When the slag temperature is high, the consumption rate of the furnace bottom refractory is increased. On the other hand, when the tapping temperature is low, the slag viscosity decreases, so the slag discharge stops and the operation is difficult to maintain. Therefore, it is important to always grasp the stock level correctly and stabilize the stock level.

  FIG. 2 is a diagram showing a configuration of a stock level estimation system provided with a stock level estimation apparatus according to an embodiment of the present invention.

  The stock level estimation system includes a central control device 20, a stock level estimation calculation computer 21 that is a stock level estimation device, a parameter setting device 22, a status display device 23, and a process control device 24.

  The parameter setting device 22 is a setting input device for setting specification data such as constants necessary for stock level estimation calculation, for example, input components, the shape of the furnace body 1 and the like. The state display device 23 is a display device that displays the operation state of the furnace for monitoring the waste gasification melting furnace, and the estimated stock level is also displayed. The process control device 24 is a general term for each control device constituting the waste gasification and melting furnace, and includes, for example, the weighing device 5, the charging device 6, the main tuyere blower fan 11, and the like. The process measurement value 25 is a general term for the measured process state quantity of the waste gasification melting furnace, and includes, for example, an oxygen-containing gas flow rate, an oxygen concentration, and the like.

  The stock level estimation calculation computer 21 includes a computer input / output device 26, a calculation unit 27, and a data memory device 28.

  The computer input / output device 26 is an interface for exchanging data between the central control device 20 and the parameter setting device 22. The calculation unit 27 estimates the stock level by executing a heat balance and mass balance calculation in each region (layer) inside the deposition layer 2. The data memory device 28 stores data necessary for each calculation executed by the calculation unit 27.

  The calculation unit 27 includes a layer calculation unit 31, a layer thickness calculation unit 32, and a stock level calculation unit 33. The layer calculation unit 31 includes a charge layer calculation unit 36, a dry distillation layer calculation unit 37, which perform heat balance and mass balance calculation in each of an input layer, a dry distillation layer, and a molten layer, which will be described later, forming the deposition layer 2. A molten layer calculation unit 38 is provided. The layer thickness calculator 32 calculates the thickness of each layer. The stock level calculator 33 calculates the stock level based on the thickness of each layer.

  FIG. 3 is a diagram showing a conceptual diagram of an input layer movement model used for stock level estimation calculation.

  In this layer movement model, the deposited layer 2 is divided into a plurality of layers. In the deposited layer 2, a new layer is generated at regular intervals and sequentially added to the uppermost layer. Each of these layers is associated with information on wastes and melting auxiliary materials introduced into the furnace within a certain time. Then, when all the inputs corresponding to the lowest layer are consumed, the layer disappears.

  Each of these layers is called a carbonization layer, and the carbonization process proceeds mainly in these layers. The uppermost layer is particularly called an input layer, in which initial value information of waste and melting auxiliary materials input into the furnace is set in addition to the above-described carbonization process. The lowermost layer is called a molten layer, and the ash melts in accordance with the amount of oxygen blown from the main tuyere 10 in this molten layer. When all of the fixed carbon and ash contained in the molten layer are consumed, the molten layer is erased, and the one-stage dry distillation layer is handled as a new molten layer. As described above, in this layer movement model, the layer moves downward and sequentially from the input layer toward the molten layer.

  FIG. 4 is a flowchart showing a general procedure of stock level estimation calculation. This stock level estimation calculation is executed by each unit of the calculation unit 27.

The input layer calculation unit 36 is activated at predetermined intervals, and in step S01, a new input layer is generated and initial data is associated with the input layer. That is, as shown in FIG. 5, the weight [Kg / h], the component [%], and the bulk density [Kg / m ³ ] of the waste, coke, and limestone charged within a predetermined time are given as data. . Ingredients are combustible components such as dry distillation components, fixed carbon components, moisture, and ash.

  The weight is based on the value measured by the measuring device 5. The component and bulk density are based on values previously input from the parameter setting device 22 and stored in the data table of the data memory device 28. In addition, it is possible to estimate the waste components (dry fraction, fixed carbon component, moisture, ash) from the amount of heat generated by the waste. Therefore, for example, the exhaust gas flow rate and the exhaust gas temperature may be measured and estimated based on the heat generation amount of the waste obtained by the heat balance calculation of the entire furnace. The bulk density of the waste may be obtained by calculation from the weight of the waste grip measured with a garbage crane and the increased volume of waste in the input hopper measured with an ultrasonic level meter.

  Next, the molten layer calculation unit 38 is activated to perform a specific calculation related to the molten layer. As shown in FIG. 6, the input data of the melt layer model at the bottom is the main tuyere air volume, the main tuyere feed acid amount, the main tuyere air temperature, the furnace bottom refractory temperature, and the furnace bottom heat dissipation amount. The output data includes the output amount and output temperature.

  In steps S02 to S03 in FIG. 4, calculation regarding the combustion reaction at the main tuyere is performed to calculate the fixed carbon consumption. That is, according to the total oxygen (acid delivery) amount sent from the main tuyere, the weight of the fixed carbon content of each charge is reduced according to the combustion reaction at the tip of the main tuyere shown in the formula (1).

2C + O ₂ = 2CO (1)
In step S04, it is assumed that ash or the like in the charge is discharged out of the system as slag according to the consumption (reaction heat amount) of the fixed carbon. That is, the weight of ash that decreases is taken as the amount of output. Then, in step S05, the tapping temperature is calculated. The tapping temperature is calculated from the amount of heat generated by the exothermic reaction of the main tuyere shown in Equation (1), taking into account the amount of heat taken away by the layer by heat exchange with the high-temperature gas, the amount of heat removed from the brick at the bottom of the furnace, etc. .

  Next, the dry distillation layer calculation unit 37 is activated to execute various calculations in the dry distillation layer. As shown in FIG. 7, the input data of the dry distillation layer model is the amount, temperature, and components of the gas input to the layer, the weight of the input material in the layer, the component, the bulk density, and the temperature. The dry distillation layer calculation unit 37 performs moisture calculation, dry distillation calculation, and scattering calculation based on these input data, and calculates the weight, component, bulk density, and temperature of the input material remaining in the resulting layer. In addition, the specific heat calculation of a layer is performed in these calculations. Then, the amount, temperature, and component of the gas sent from this layer to the next (upper) layer are calculated, and the weight, component, bulk density, and temperature of the input in the layer are updated to new values. .

  Steps S07 to S13 in FIG. 4 show the above-described calculation process procedure of the dry distillation layer. This calculation process is repeated for each dry distillation layer, starting from the lowest molten layer and reaching the uppermost input layer. In the dry distillation layer model, the amount of heat transfer is obtained based on the thermal conductivity between the gas and the solid at the boundary surface (upper surface, lower surface) of the layer, and the temperature of the solid material is determined by this heat amount.

  In step S07, the layer specific heat and the layer temperature are calculated. First, the specific heat of the layer is calculated from the weight and specific heat of each charge. Then, the temperature of the layer is calculated from the amount of heat input to the layer. In step S08, the output gas temperature is calculated based on the input gas temperature, the temperature of the layer, and the heat exchange time of the layer. Here, the heat exchange time is determined from the gas flow rate and the layer thickness. Note that the temperature of the layer can also be easily determined. For example, interpolation calculation is performed based on the temperature value measured by the thermometer 7 of the gas above the deposition layer and the gas temperature at the main tuyere height position calculated from the air blowing conditions of the main tuyere, thereby increasing the height of each layer. The gas temperature at this point may be calculated.

  In steps S09 to S10, the water evaporation rate is calculated from the amount of heat given to the layer, and the table is searched using the layer temperature as a parameter to determine the dry distillation rate. Then, these values are multiplied by a certain time, which is a sampling cycle, to obtain moisture and dry distillation weights, and the weights are reduced from the input amounts. Next, in step S11, the scattered weight of ash / fixed carbon is obtained, and a decrease calculation from the input amount is performed. Here, the scattered weight is obtained as a function value having the generated gas flow rate as a parameter.

  In step S12, the weight, component, and bulk density of each input amount remaining in the layer are calculated and determined based on the amounts determined in the above steps. In step S13, it is checked whether or not the above processing has been performed from the molten layer to the input layer. If it has been performed, the layer thickness calculator 32 is activated.

  The layer thickness calculator 32 calculates the volume of each layer from the weight and bulk density of the input material remaining in each layer, and calculates the thickness of each layer in consideration of the furnace dimensions. Then, the stock level calculation unit 33 is activated to calculate the stock level by adding the thickness of each layer from the lowest (melted) layer to the highest (input) layer. In the calculation of the stock level, for example, it can be calculated in combination with intermittent or continuous measurement values measured by sounding, a microwave level meter (not shown), or the like.

  FIG. 8 is a diagram showing a result of estimating a stock level (layer height) based on actual operation data. In this result, the measured value by sounding and the estimated stock level coincide with each other with high accuracy. Therefore, it was proved that the estimation of the stock level by the model of the present embodiment is effective.

  In addition, when the stock level estimated by the calculation becomes lower than a level at which stable slag discharge can be maintained, an operation of increasing the amount of input or decreasing the total amount of oxygen is performed. Conversely, when the estimated stock level becomes higher than a predetermined value, an operation of decreasing the input amount or increasing the total oxygen amount is performed. Thereby, stable discharge of slag can be realized.

[Effect of the embodiment]
Waste is gasified and melted by injecting waste from the top of the furnace and gasifying the dry fraction of the waste by blowing in oxygen-enriched air. In the furnace, the method for estimating the stock level in the furnace based on the model makes it possible to control the stock level to be stabilized, and it is possible to realize stable discharge of slag and stabilization of operation.

  Each function described in the above embodiment may be configured using hardware, or may be realized by reading a program describing each function into a computer using software. Each function may be configured by appropriately selecting either software or hardware.

  Furthermore, each function can be realized by causing a computer to read a program stored in a recording medium (not shown). Here, as long as the recording medium in the present embodiment can record a program and can be read by a computer, the recording format may be any form.

  Note that the present invention is not limited to the above-described embodiment as it is, and can be embodied by modifying the constituent elements without departing from the scope of the invention in the implementation stage. Moreover, various inventions can be formed by appropriately combining a plurality of constituent elements disclosed in the embodiment. For example, some components may be deleted from all the components shown in the embodiment. Furthermore, you may combine suitably the component covering different embodiment.

BRIEF DESCRIPTION OF THE DRAWINGS The longitudinal cross-sectional view which shows the waste gasification melting furnace to which the stock level estimation method which concerns on the 1st Embodiment of this invention is applied. The figure which shows the structure of the stock level estimation system provided with the stock level estimation apparatus which concerns on embodiment of this invention. The figure which shows the conceptual diagram of the layer movement model of an input used for stock level estimation calculation. The flowchart which shows the procedure of the outline of stock level estimation calculation. The figure showing the input / output of the model of embodiment of this invention. The figure showing the input / output of the model of embodiment of this invention. The figure showing the input / output of the model of embodiment of this invention. The figure which shows the result of having estimated the stock level (rise height) based on actual operation data.

Explanation of symbols

  DESCRIPTION OF SYMBOLS 1 ... Furnace body, 2 ... Sedimentation layer, 3 ... Inlet, 5 ... Metering device, 6 ... Input device, 10 ... Main tuyere, 15 ... Slag, 16 ... Outlet, 20 ... Central control device, 21 ... Stock Computer for level estimation calculation, 27 ... calculation unit, 28 ... data memory unit, 36 ... input layer calculation unit, 37 ... dry distillation layer calculation unit, 38 ... molten layer calculation unit, 31 ... layer calculation unit, 32 ... layer thickness calculation Part, 33 ... stock level calculation part.

Claims (13)

Waste and melting auxiliary materials are charged into the furnace body from the furnace inlet, a high temperature reaction zone is formed in the lower part of the furnace, a waste layer is formed on the high temperature reaction zone, and the high temperature reaction zone contains oxygen. A method for estimating the stock level of a waste gasification and melting furnace having a tuyere for blowing gas, pyrolyzing the waste, melting the pyrolysis residue, and discharging the melt from the outlet. And
A stock level estimation method for estimating a stock level, which is a height of a deposited layer formed in a furnace by waste and melting auxiliary materials, based on a model for simulating a process in the furnace. . The model is
A generation step for generating data including a layer thickness of a layer formed in the furnace by the waste and the melting auxiliary material charged in the furnace for each predetermined period;
A model generation step of generating an in-furnace deposition model in which the data for each layer is arranged in the order of charging in the furnace;
Calculate the amount of waste and melting auxiliary material that reacts with oxygen blown from the tuyere to reduce the layer thickness data of the layer located at the bottom layer of the in-furnace deposition model, or located at the bottom layer An erasure step to erase layer data;
2. The stock level estimation method according to claim 1, further comprising a level calculation step of calculating a stock level by integrating layer thickness data for each layer. The model is
The deposited layer is represented as a deposition model in which a plurality of layers are deposited in the height direction of the furnace,
An input layer generation step of generating a new layer at the top of the deposition model for each predetermined period, and associating the new layer with information about the input charged into the furnace within the predetermined period. ,
Update the information on the input of the layer located in the lowest layer of the in-furnace deposition model by calculating the amount of waste and melting auxiliary material that reacts with the oxygen blown from the tuyere and decreases at predetermined intervals. Or a melt layer processing step for erasing the layer located at the bottom layer;
A layer thickness calculating step of calculating a layer thickness for each layer;
The stock level estimation method according to claim 1, further comprising a level calculation step of calculating a stock level by integrating layer thickness data for each layer. The model is
For each of the layers, calculation is performed based on information on the generated gas input from the lower boundary surface of the layer, information on the input remaining in the layer, and generated gas output from the upper boundary surface of the layer The stock level estimation method according to claim 3, further comprising: a dry-distilled-bed calculation step for obtaining information on the information. The layer thickness calculating step includes
5. The stock level estimation method according to claim 3, wherein the layer thickness is calculated based on information on the weight, bulk density, and furnace inner diameter shape of each of the inputs remaining in the layer. Waste and melting auxiliary materials are charged into the furnace body from the furnace inlet, a high temperature reaction zone is formed in the lower part of the furnace, a waste layer is formed on the high temperature reaction zone, and the high temperature reaction zone contains oxygen. A program for estimating the stock level of a waste gasification and melting furnace that has a tuyere for blowing gas, pyrolyzes the waste, melts the pyrolysis residue, and discharges the melt from the outlet. And
A program for causing a computer to execute a step of estimating a stock level, which is a height of a deposited layer formed in a furnace by waste and melting auxiliary materials, based on a model simulating a process in the furnace. . The model is
A generation step for generating data including a layer thickness of a layer formed in the furnace by the waste and the melting auxiliary material charged in the furnace for each predetermined period;
A model generation step of generating an in-furnace deposition model in which the data for each layer is arranged in the order of charging in the furnace;
Calculate the amount of waste and melting auxiliary material that reacts with oxygen blown from the tuyere to reduce the layer thickness data of the layer located at the bottom layer of the in-furnace deposition model, or located at the bottom layer An erasure step to erase layer data;
The program according to claim 6, which causes a computer to execute a level calculation step of calculating a stock level by integrating layer thickness data for each layer. The model is
The deposited layer is represented as a deposition model in which a plurality of layers are deposited in the height direction of the furnace,
An input layer generation step of generating a new layer at the top of the deposition model for each predetermined period, and associating the new layer with information about the input charged into the furnace within the predetermined period. ,
Update the information on the input of the layer located in the lowest layer of the in-furnace deposition model by calculating the amount of waste and melting auxiliary material that reacts with the oxygen blown from the tuyere and decreases at predetermined intervals. Or a melt layer processing step for erasing the layer located at the bottom layer;
A layer thickness calculating step of calculating a layer thickness for each layer;
The program according to claim 6, which causes a computer to execute a level calculation step of calculating a stock level by integrating layer thickness data for each layer. The model is
For each of the layers, calculation is performed based on information on the generated gas input from the lower boundary surface of the layer, information on the input remaining in the layer, and generated gas output from the upper boundary surface of the layer The computer program according to claim 8, further causing the computer to execute a dry-distilled-bed calculation step for obtaining information regarding the computer. Waste and melting auxiliary materials are charged into the furnace body from the furnace inlet, a high temperature reaction zone is formed in the lower part of the furnace, a waste layer is formed on the high temperature reaction zone, and the high temperature reaction zone contains oxygen. A waste gasification and melting furnace stock level estimation device having a tuyere for injecting gas, thermally decomposing the waste, melting the pyrolysis residue, and discharging the melt from the outlet,
Based on a model for simulating the process in the furnace, it is provided with means for estimating the stock level, which is the height of the deposited layer formed in the furnace by the waste and the melting auxiliary material as inputs. Stock level estimation device. The model is
Generating means for generating data including the layer thickness of the layer formed in the furnace by the waste and melting auxiliary material charged in the furnace for each predetermined period;
Model generating means for generating an in-furnace deposition model in which the data for each layer is arranged in the order of charging in the furnace,
Calculate the amount of waste and melting auxiliary material that reacts with oxygen blown from the tuyere to reduce the layer thickness data of the layer located at the bottom layer of the in-furnace deposition model, or located at the bottom layer An erasing means for erasing the layer data;
The stock level estimation apparatus according to claim 10, further comprising level calculation means for calculating a stock level by integrating layer thickness data for each layer. The model is
The deposited layer is represented as a deposition model in which a plurality of layers are deposited in the height direction of the furnace,
An input layer generation means for generating a new layer at the top of the deposition model at every predetermined period and associating the new layer with information on the input charged into the furnace within the predetermined period. ,
Update the information on the input of the layer located in the lowest layer of the in-furnace deposition model by calculating the amount of waste and melting auxiliary material that reacts with the oxygen blown from the tuyere and decreases at predetermined intervals. Or molten layer processing means for erasing the layer located at the bottom layer,
A layer thickness calculating means for calculating a layer thickness for each layer;
The stock level estimation apparatus according to claim 10, further comprising level calculation means for calculating a stock level by integrating layer thickness data for each layer. A stock level is estimated using the stock level estimation method according to any one of claims 1 to 5,
If the stock level is lower than a first predetermined level, perform at least one of the operations of increasing the input and increasing the oxygen-containing gas;
When the stock level becomes higher than a second predetermined level, the waste gasification and melting furnace is operated, wherein at least one of the reduction of the input and the reduction of the oxygen-containing gas is performed. Method.

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