CN113941251A - Flue gas denitration flow field simulation checking method and system - Google Patents
Flue gas denitration flow field simulation checking method and system Download PDFInfo
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Abstract
The invention provides a flue gas denitration flow field simulation checking method and a system, which comprises the following steps: establishing a flow field model based on the site working condition, the site meteorological data of the equipment and the structural size of the target denitration SCR equipment; simulating the operation result of the equipment according to preset basic data before simulation and the flow field model to obtain current simulation data; comparing the similarity threshold of the current simulation data and the actual operation result; if the simulation result meets the threshold value, outputting basic data before simulation, an actual operation result and current simulation data corresponding to the simulation result to obtain a checking result; if the similarity does not meet the threshold, calculating and optimizing basic data before simulation according to the threshold deviation result, simulating the equipment operation result again after updating, generating a new current simulation database, and repeating the similarity threshold comparison until a new checking result is obtained. The method has the advantages of reasonable scheme, quick simulation, accurate check and convenience for optimization and structural design of subsequent data.
Description
Technical Field
The invention relates to the technical field of flue gas denitration, in particular to a denitration flow field simulation checking method and a denitration flow field simulation checking system.
Background
The SCR method denitration technology is widely used in environmental protection devices of thermal power generating units at present, and reducing agent ammonia injected through an ammonia injection grid reacts with nitrogen oxides in smoke under the action of a catalyst, so that the nitrogen oxides in the smoke are removed, and the mixing of ammonia gas and main smoke is of great importance to the stable operation of SCR equipment. In addition, after the domestic unit ultralow emission is reformed transform, denitration efficiency index further improves, puts forward transformation routes such as accurate ammonia injection, puts forward higher requirements to the uniformity of mainstream smoke gas flow field and ammonia injection.
The CFD (computational fluid dynamics) technology plays an important role in the environmental protection field all the time, and during the operation, maintenance and modification of actual flue gas denitration equipment, corresponding design needs to be carried out based on a flow field simulation result, so that the uniformity of a flow field and ammonia injection is realized. The flue structure of the denitration system is complex, and the design of position flow fields such as a rectifying grid and the like has great influence on the mixing of ammonia and nitrogen oxides. In addition, the simulation result also has guiding significance for analyzing the phenomena of dust accumulation and abrasion in the flue, predicting the system resistance and the like.
However, the flow field simulation technology is greatly influenced by factors such as pretreatment, boundary conditions and the like, and how to improve the reliability of a simulation result is very important. Patent No. CN112426856 proposes a flue gas desulfurization flow field simulation method, which can be used for general gas-liquid flow design calculation. However, the method does not relate to the checking calculation process, and the accuracy of the simulation result still has a space for improvement.
Disclosure of Invention
In order to solve the technical problems in flue gas denitration flow field simulation in the prior art, the flue gas denitration flow field simulation method, system and device are reasonable in scheme, rapid in simulation, accurate in verification and convenient for optimization and structural design of subsequent data.
The invention is realized by the following technical scheme:
a flue gas denitration flow field simulation checking method comprises the following steps:
establishing a flow field model based on the site working condition, the site meteorological data of the equipment and the structural size of the target denitration SCR equipment;
simulating the operation result of the equipment according to preset basic data before simulation and the flow field model to obtain current simulation data;
comparing the similarity threshold of the current simulation data and the actual operation result;
if the simulation result meets the threshold value, outputting basic data before simulation, an actual operation result and current simulation data corresponding to the simulation result to obtain a checking result;
if the similarity does not meet the threshold, calculating and optimizing basic data before simulation according to the threshold deviation result, simulating the equipment operation result again after updating, generating a new current simulation database, and repeating the similarity threshold comparison until a new checking result is obtained.
Preferably, the basic data before simulation comprises inlet flue gas conditions of the denitration device, using conditions of a reducing agent, meteorological data of a site where the equipment is located and a grid generation mode; and the actual operation result comprises an actual test result of a cross section flow field at the position of the measuring point, unit abrasion and dust deposition level.
Preferably, the abrasion and dust deposition level of the unit is corrected according to the particle size distribution of the dust in the flue gas.
Preferably, the establishing of the flow field model specifically includes establishing the following models:
establishing a turbulence model according to the turbulence condition of the smoke flowing in the boundary range of the flow field;
establishing a two-phase flow model according to the movement condition of dust particles in the flue gas;
establishing a component transportation model according to the motion condition of each component in the flue gas;
and establishing a porous medium model aiming at the pressure drop of the catalyst layer.
Preferably, the current simulation data comprises a measurement point position section flow field simulation result, a unit abrasion and dust deposition prediction result.
Preferably, comparing the similarity threshold of the current simulation data with the actual operation result specifically includes:
the similarity between the speed mean value of the measuring point position and the variance index reaches 75% of the threshold value;
and the dust concentration index, the dust deposition and the abrasion quantization level reach 50% of the similarity threshold value.
Preferably, the calculating and optimizing the pre-simulation basic data according to the threshold deviation result specifically includes: encrypting grids, correcting boundary conditions and optimizing a numerical calculation method.
A flue gas denitration flow field simulation check system includes:
the flow field model generating unit is used for establishing a flow field model based on the field working condition, the meteorological data of the site where the equipment is located and the structural size of the target denitration SCR equipment;
the simulation unit simulates the operation result of the equipment according to preset basic data before simulation and the flow field model to obtain current simulation data;
the simulation result comparison unit is used for comparing the similarity threshold value of the current simulation data and the actual operation result;
the optimization database generation unit is used for outputting the basic data before simulation, the actual operation result and the current simulation data corresponding to the simulation result to obtain a check result when the output result of the simulation result comparison unit meets a threshold value; if the similarity does not meet the threshold, calculating and optimizing basic data before simulation according to the threshold deviation result, simulating the operation result of the equipment again after updating, generating a new current simulation database, and repeating the similarity threshold comparison until a new checking result is obtained.
A terminal device comprising a memory, a processor and a computer program stored in said memory and executable on said processor, said processor implementing the steps of the above method when executing said computer program.
A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the method as described above.
Compared with the prior art, the invention has the following beneficial technical effects:
the invention provides a flue gas denitration flow field simulation checking method and a flue gas denitration flow field simulation checking system.
Drawings
Fig. 1 is a flowchart of a flue gas denitration flow field simulation checking method provided in an embodiment of the present invention;
FIG. 2 is a schematic structural diagram of simulation check and design simulation of an SCR flow field of a tail flue of a typical coal-fired unit in an embodiment of the invention;
FIG. 3 is a schematic structural diagram of simulation check and design simulation of a denitration SCR flow field of a typical gas turbine unit waste heat boiler in the embodiment of the invention;
fig. 4 is a schematic structural diagram of a flue gas denitration flow field simulation checking system provided by the invention.
In the figure: the system comprises a large-scale mixer 1, a guide plate 2, a mixer 3, a reactor top guide plate 4, a rectification grid 5, a catalyst 6 and a superheater/reheater 7.
Detailed Description
The present invention will now be described in further detail with reference to specific examples, which are intended to be illustrative, but not limiting, of the invention.
Referring to fig. 1, an embodiment of the invention discloses a denitration flow field simulation checking method, wherein a tail flue of a coal-fired unit and a denitration device such as a waste heat boiler of a gas-fired unit have the same reaction principle, and the flow field simulation checking method can be adopted.
The method comprises the following steps:
and S001, presetting a pre-simulation basic database for storing pre-simulation basic data and an actual operation result database for storing an actual operation result.
When the SCR flow field of the tail flue of the coal-fired unit is subjected to simulation check, the base database before simulation comprises: the inlet flue gas conditions of the denitration device, such as flue gas amount, flue gas components, flue gas temperature, local atmospheric pressure, dust content in the flue gas and dust particle size distribution. The using condition of the reducing agent, such as the liquid ammonia method adopted in the embodiment, needs to obtain the flow rate of the stored ammonia-air mixture, and the proportion of ammonia gas.
The pre-simulation base database further includes: in the grid generation mode, the critical part of grids should be locally encrypted, such as at the nozzle of the ammonia spraying grid and at the position of the rectifying grid 5.
The actual operation result database includes: and (4) measuring the actual test conditions of the cross section flow field of the point position, such as velocity field distribution and dust concentration field distribution. After actual operation, the guide plate 4, the ammonia injection grid 5, the rectification grid, the catalyst are abraded, and dust is accumulated.
Further, the actual test condition is described in an index manner: such as a mean index, a coefficient of variance index.
Xo＝ΣXi/n
Cv＝σv/Xo×100(％)
σv＝Σ(Xi-Xo)2/(n-1)
Xo is the average number (m/s).
Xi local numerical value (m/s)
n is the number of measurement points (-)
Standard deviation of σ v (m/s)
And (5) marking the wear and dust accumulation levels on corresponding parts according to actual conditions. The former corresponds to a first level, a second level and a third level of a high-speed area; the latter corresponds to the first, second and third stages of the low speed region.
Furthermore, the abrasion and dust deposition are related to the particle size distribution of the dust, and the quantitative grade analysis is corrected according to the particle size distribution.
When carrying out simulation check to gas unit waste heat boiler denitration SCR flow field, the basic database includes before the simulation: the inlet flue gas conditions of the waste heat boiler, such as the flue gas quantity, the flue gas components, the flue gas temperature and the local atmospheric pressure; for a gas turbine set, the inlet velocity rotational flow intensity is obvious, and the distribution condition of an inlet velocity field needs to be accurately described; the using condition of the reducing agent, such as the urea method adopted in the embodiment, needs to obtain the urea flow and the urea solution ratio; in the grid generation mode, the grid of a key part needs to be locally encrypted, for example, the urea direct injection process is adopted in the embodiment, the local equipment such as an ammonia injection grid and the like is not contained, but the grid at the injection position of the spray gun needs to be encrypted.
The actual operation result database includes: and (4) measuring the actual test conditions of the cross section flow field of the point position, such as velocity field distribution and nitrogen oxide concentration field distribution.
Further, the actual test condition is described in an index manner: such as a mean index, a coefficient of variance index.
Xo＝ΣXi/n
Cv＝σv/Xo×100(％)
σv＝Σ(Xi-Xo)2/(n-1)
Xo is the average number (m/s).
Xi local numerical value (m/s)
n is the number of measurement points (-)
Standard deviation of σ v (m/s)
Further, when the flow field is checked according to the use condition of the reducing agent, the method specifically comprises the following steps:
when the reducing agent is ammonia-air mixed gas, the calculation model adopts single-phase turbulence calculation.
When the reducing agent is ammonia water, the calculation model adopts gas-liquid two-phase turbulence calculation.
When the reducing agent is urea solution, the calculation model adopts gas-liquid two-phase and chemical reaction calculation.
And S002, simulating an equipment operation result according to preset basic data before simulation and the flow field model to obtain current simulation data.
When carrying out simulation check to coal group afterbody flue SCR flow field, specifically include:
and establishing a turbulence model according to the turbulence condition of the smoke flowing in the boundary range of the flow field. As in this example, the flow field simulates the range economizer outlet to the air preheater inlet.
And establishing a two-phase flow model according to the movement condition of the dust particles in the flue gas.
And establishing a component transportation model according to the motion condition of each component in the flue gas.
And aiming at the pressure drop of a catalyst layer in the SCR, establishing a porous medium model.
When simulating check is carried out waste heat boiler denitration SCR flow field to the gas unit, specifically include:
and establishing a turbulence model according to the turbulence condition of the smoke flowing in the boundary range of the flow field. In this example, the flow field simulation range is from the transition section of the waste heat boiler inlet to the waste heat boiler outlet.
According to the injection, diffusion, evaporation and decomposition of the urea solution, a two-phase flow model and a gas-phase chemical reaction model are established. The dust content in the flue gas of the waste heat boiler of the gas turbine is low, and the consideration is not needed.
A porous medium model is established for the pressure drop of the catalyst layer containing the catalyst 6 and the pressure drop of the superheater/reheater 7.
And S003, comparing the similarity threshold of the current simulation data and the actual operation result.
The current analog data includes: and (4) carrying out numerical simulation result distribution and quantitative simulation index analysis on the key section. Such as measuring point section velocity field distribution, dust concentration field distribution mean index and variance coefficient index. Guide plate, ammonia spraying grid, rectifying grid, catalyst quantitative wear and accumulated ash level prediction.
And S004, if the threshold value is met, outputting the basic data before simulation, the actual operation result and the current simulation data corresponding to the simulation result to obtain a checking result.
When the SCR flow field of the tail flue of the coal burner unit is subjected to simulation check, the method specifically comprises the following steps: the speed mean value and variance index similarity needs to reach a threshold value of 75 percent; the quantization levels of dust concentration index, dust deposition and abrasion reach a similarity threshold value of 50 percent. And when the similarity threshold is reached, outputting data in a pre-simulation basic database, an actual operation result database and a current simulation database corresponding to the simulation result, and considering that the simulation check result can reflect the real smoke flow condition.
When simulating the check to gas unit waste heat boiler denitration SCR flow field, specifically do: and if the similarity of the speed mean value and the variance index needs to reach a threshold value of 75%, outputting data in a base database before simulation, an actual operation result database and a current simulation database corresponding to the simulation result, and considering that the simulation check result can reflect the real smoke flow condition.
Further, after the current simulation database is generated, the corresponding relation between the basic database before simulation and the current simulation database is established, so that the optimized preprocessing method is convenient to screen.
Meanwhile, the method also comprises a parallel computing mode which is set and used for monitoring the computing process, and the convergence, the compatibility and the stability of the computing method are convenient to analyze.
And S005, if the similarity does not meet the threshold, calculating and optimizing basic data before simulation according to the threshold deviation result, updating and simulating the equipment operation result again to generate a new current simulation database, and repeating the similarity threshold comparison until a new checking result is obtained.
The specific optimization process comprises the following steps: and (4) grid encryption, boundary condition correction and elimination of data points with large errors or deviations in actual measuring points. The grid is preferentially encrypted to verify the condition of grid independence, then the boundary condition is corrected, and the data points with larger errors or deviations in the actual measuring points are removed.
Further, the most preferable pre-simulation basic data is selected according to the checking result. And calculating simulation results of different schemes by combining a typical structure design scheme database, storing key section information in a current simulation database, and comparing distribution indexes such as section speed, nitric oxide concentration and the like.
When designing the SCR flow field of the tail flue of the coal-fired unit, as shown in FIG. 2, the typical structural design positions are as follows: flaring throat flue, guide plate 2, blender 3, reactor top cap, rectification grid 5, in the preferred embodiment, blender 3 is ammonia injection grid and subregion blender 3. The baffle 2 is a 90 ° elbow (or other angle) baffle.
For example, the 90-degree elbow can adopt two schemes of 3 or 4 circular arc plates. The downstream straight plate of the circular arc plate can adopt three schemes of 200mm, 300mm and 400 mm.
For example, the position of the rectifying grating 5 can adopt two schemes of grating plates with the distance of 60mm and the height of 300mm, or grating plates with the distance of 60mm and the height of 180 mm.
When designing the denitration SCR flow field of the waste heat boiler of the gas unit, as shown in FIG. 3, the typical structure is designed as follows: and the flaring and necking flue and the urea spray gun are arranged.
Compared with a coal-fired unit, the gas turbine waste heat boiler has a short flue and high requirement on the uniformity of an ammonia and nitrogen mixed flow field, and thus higher requirements are provided for the arrangement of a urea spray gun and the design of the flow field.
For example, the arrangement of the urea spray gun can adopt various arrangement schemes of 8 and 12 point positions, a circumferential surface, a central point and the like.
Referring to fig. 4, an embodiment of the present invention provides a flue gas denitration flow field simulation checking system, including:
the flow field model generating unit 401 is used for establishing a flow field model based on the field working condition, the meteorological data of the site where the equipment is located and the structural size of the target denitration SCR equipment;
the simulation unit 402 simulates the operation result of the equipment according to preset basic data before simulation and the flow field model to obtain current simulation data;
a simulation result comparing unit 403, configured to compare a similarity threshold between current simulation data and an actual operation result;
an optimized database generating unit 404, configured to output, according to the output result of the simulation result comparing unit, when a threshold is met, the basic data before simulation, the actual operation result, and the current simulation data corresponding to the simulation result to obtain a check result; if the similarity does not meet the threshold, calculating and optimizing basic data before simulation according to the threshold deviation result, simulating the operation result of the equipment again after updating, generating a new current simulation database, and repeating the similarity threshold comparison until a new checking result is obtained.
An embodiment of the present invention provides a schematic diagram of a terminal device. The terminal device of this embodiment includes: a processor, a memory, and a computer program stored in the memory and executable on the processor. The processor realizes the steps of the above-mentioned method embodiments when executing the computer program. Alternatively, the processor implements the functions of the modules/units in the above device embodiments when executing the computer program.
The computer program may be partitioned into one or more modules/units that are stored in the memory and executed by the processor to implement the invention.
The terminal device can be a desktop computer, a notebook, a palm computer, a cloud server and other computing devices. The terminal device may include, but is not limited to, a processor, a memory.
The processor may be a Central Processing Unit (CPU), other general purpose processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components, etc.
The memory may be used for storing the computer programs and/or modules, and the processor may implement various functions of the terminal device by executing or executing the computer programs and/or modules stored in the memory and calling data stored in the memory.
The terminal device integrated modules/units, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. Based on such understanding, all or part of the flow of the method according to the embodiments of the present invention may also be implemented by a computer program, which may be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps of the method embodiments may be implemented. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer memory, Read-only memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, etc. It should be noted that the computer readable medium may contain content that is subject to appropriate increase or decrease as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media does not include electrical carrier signals and telecommunications signals as is required by legislation and patent practice.
The above is only a preferred embodiment of the present invention, and is not intended to limit the present invention, and various modifications and changes will occur to those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A flue gas denitration flow field simulation checking method is characterized by comprising the following steps:
establishing a flow field model based on the site working condition, the site meteorological data of the equipment and the structural size of the target denitration SCR equipment;
simulating the operation result of the equipment according to preset basic data before simulation and the flow field model to obtain current simulation data;
comparing the similarity threshold of the current simulation data and the actual operation result;
if the simulation result meets the threshold value, outputting basic data before simulation, an actual operation result and current simulation data corresponding to the simulation result to obtain a checking result;
if the similarity does not meet the threshold, calculating and optimizing basic data before simulation according to the threshold deviation result, simulating the equipment operation result again after updating, generating a new current simulation database, and repeating the similarity threshold comparison until a new checking result is obtained.
2. The flue gas denitration flow field simulation checking method according to claim 1, wherein the basic data before simulation comprises denitration device inlet flue gas conditions, reducing agent use conditions, site meteorological data of equipment and grid generation mode; and the actual operation result comprises an actual test result of a cross section flow field at the position of the measuring point, unit abrasion and dust deposition level.
3. The flue gas denitration flow field simulation checking method according to claim 2, characterized in that unit abrasion and dust deposition level are corrected according to the particle size distribution of dust in flue gas.
4. The flue gas denitrification flow field simulation check method according to claim 1, wherein the establishing of the flow field model specifically comprises establishing the following model:
establishing a turbulence model according to the turbulence condition of the smoke flowing in the boundary range of the flow field;
establishing a two-phase flow model according to the movement condition of dust particles in the flue gas;
establishing a component transportation model according to the motion condition of each component in the flue gas;
and establishing a porous medium model aiming at the pressure drop of the catalyst layer.
5. The flue gas denitrification flow field simulation checking method according to claim 1, wherein the current simulation data comprises a measurement point position section flow field simulation result and a unit abrasion and dust deposition prediction result.
6. The flue gas denitration flow field simulation check method according to claim 1, characterized by comparing a similarity threshold of current simulation data and an actual operation result, specifically comprising:
the similarity between the speed mean value of the measuring point position and the variance index reaches 75% of the threshold value;
and the dust concentration index, the dust deposition and the abrasion quantization level reach 50% of the similarity threshold value.
7. The flue gas denitration flow field simulation check method according to claim 1, characterized in that the calculating and optimizing of pre-simulation basic data according to the threshold deviation result specifically comprises: encrypting grids, correcting boundary conditions and optimizing a numerical calculation method.
8. The utility model provides a flue gas denitration flow field simulation check system which characterized in that includes:
the flow field model generating unit is used for establishing a flow field model based on the field working condition, the meteorological data of the site where the equipment is located and the structural size of the target denitration SCR equipment;
the simulation unit simulates the operation result of the equipment according to preset basic data before simulation and the flow field model to obtain current simulation data;
the simulation result comparison unit is used for comparing the similarity threshold value of the current simulation data and the actual operation result;
the optimization database generation unit is used for outputting the basic data before simulation, the actual operation result and the current simulation data corresponding to the simulation result to obtain a check result when the output result of the simulation result comparison unit meets a threshold value; if the similarity does not meet the threshold, calculating and optimizing basic data before simulation according to the threshold deviation result, simulating the operation result of the equipment again after updating, generating a new current simulation database, and repeating the similarity threshold comparison until a new checking result is obtained.
9. A terminal device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the steps of the method according to any of claims 1-7 when executing the computer program.
10. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 7.
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