CN112426856B - Flue gas desulfurization flow field simulation method, system and device - Google Patents
Flue gas desulfurization flow field simulation method, system and device Download PDFInfo
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- CN112426856B CN112426856B CN202011195211.7A CN202011195211A CN112426856B CN 112426856 B CN112426856 B CN 112426856B CN 202011195211 A CN202011195211 A CN 202011195211A CN 112426856 B CN112426856 B CN 112426856B
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Abstract
The invention discloses a flue gas desulfurization flow field simulation method, a system and a device, wherein the method comprises the following steps: establishing a template database comprising flow field distribution templates and corresponding structure adjustment schemes; acquiring meteorological data of a site where the target desulfurization equipment is located, and establishing a flow field model based on the structural size of the target desulfurization equipment by combining the meteorological data; simulating the flow field distribution of a preset section in a flue gas channel based on the expected operation conditions and the flue gas condition of a target desulfurization system and equipment, and generating a current flow field distribution diagram; and judging that the similarity between the current flow field distribution diagram and any flow field distribution template reaches a similarity threshold value, and outputting a structure adjustment scheme corresponding to the flow field distribution template so as to adjust the structure parameters of the target desulfurization system and equipment according to the structure adjustment scheme. Based on the flow field simulation result, the design parameters of the system and the equipment are corrected and optimized, so that the gas-liquid two-phase flow field is more uniform, the gas-liquid contact is more sufficient, and the reaction efficiency of the equipment is improved.
Description
Technical Field
The embodiment of the application relates to the technical field of flue gas desulfurization, in particular to a flue gas desulfurization flow field simulation method, system and device.
Background
China is the largest coal consuming country in the world, and coal accounts for about 70% of the total consumption of disposable energy. And SO is used in thermal power industry2Main source of emission, SO of thermal power plant2The discharge amount accounts for all SO2The discharge amount is more than 40%. Since the 90 s of the 20 th century, the thermal power industry of China used flue gas desulfurization technology to remove SO2The emission of the fuel is controlled, and good effect is achieved. The limestone-gypsum-based wet desulphurization process is widely applied due to the characteristics of mature technology, high desulphurization efficiency, rich absorbent sources, low price, available byproducts and the like, and becomes the most common method for flue gas desulphurization in the current coal-fired power plants.
In the operation process of the flue gas desulfurization equipment, how to evaluate the dynamic characteristics in the flue and the absorption tower, and based on the flow field simulation result, the design parameters of the desulfurization flue gas system and the equipment are corrected and optimized, so that the gas-liquid two-phase flow field is more uniform, the gas-liquid contact is more sufficient, the reaction efficiency of the system and the equipment is improved, and the problem to be solved by the technical personnel in the field is solved urgently.
Disclosure of Invention
Therefore, the embodiment of the application provides a flue gas desulfurization flow field simulation method, a system and a device, so as to at least partially solve the technical problem that the flue gas desulfurization dynamic characteristic simulation in the prior art is difficult, and thus, based on the flow field simulation result, the design parameters of the equipment are corrected and optimized, so that the gas-liquid two-phase flow field is more uniform, the gas-liquid contact is more sufficient, and the reaction efficiency of the equipment is improved.
In order to solve the above technical problem, an embodiment of the present application provides the following technical solutions:
a flue gas desulfurization flow field simulation method, the method comprising:
establishing a template database comprising flow field distribution templates and corresponding structure adjustment schemes;
acquiring meteorological data of a site where the target desulfurization equipment is located, and establishing a flow field model based on the structural size of the target desulfurization equipment by combining the meteorological data;
simulating the flow field distribution of a preset section in the flue gas channel based on the expected operation condition and the flue gas condition of the target desulfurization equipment, and generating a current flow field distribution diagram;
judging whether the similarity between the current flow field distribution diagram and any flow field distribution template reaches a similarity threshold value, and outputting a structure adjustment scheme corresponding to the flow field distribution template so as to adjust the structure parameters of the target desulfurization equipment according to the structure adjustment scheme;
and judging that the similarity between the current flow field distribution diagram and any flow field distribution template reaches a similarity threshold value, calculating the structure adjustment data of the corresponding index according to the deviation value, forming a new structure adjustment scheme, outputting the new structure adjustment scheme, and updating the database.
Further, the method further comprises:
acquiring all obstacle section data in the flue gas channel, judging that the obstacle section exceeds a section threshold value, and taking all obstacles exceeding the section threshold value as obstacle simulation data;
and taking the obstacle simulation data as a reference value generated by the current flow field distribution diagram.
Further, the flow field distribution of a preset section in the flue gas channel is simulated based on expected operating conditions and flue gas conditions of the target desulfurization system and the target desulfurization equipment, and a current flow field distribution diagram is generated, wherein the current flow field distribution diagram specifically includes at least one of the following:
establishing a hydrodynamic model of an inlet flue of the absorption tower, calculating the speed dispersion deviation of the inlet of the absorption tower based on the hydrodynamic model, and if the speed dispersion deviation is more than 15%, arranging a guide plate at the upstream section of the absorption tower to adjust a flow field;
establishing a fluid dynamic model of the flue gas flow equalizing device, calculating the speed dispersion deviation of the flue gas flow equalizing device based on the fluid dynamic model, and if the speed dispersion deviation is more than 15%, adjusting the local aperture ratio of the flue gas flow equalizing device or replacing the local aperture ratio with a special-shaped flue gas flow equalizing device;
establishing a fluid dynamic model of a demister inlet, calculating the speed dispersion deviation of the flue gas flow equalizing device based on the fluid dynamic model, and if the speed dispersion deviation is more than 15%, adjusting the arrangement of spray nozzles of a spray layer;
and establishing a fluid dynamic model of the demister outlet, calculating the speed dispersion deviation of the flue gas flow equalizing device based on the fluid dynamic model, and if the speed dispersion deviation is more than 15%, arranging a guide plate at the outlet elbow of the absorption tower to adjust the flow field.
Further, the method for judging whether the similarity between the current flow field distribution diagram and any flow field distribution template reaches a similarity threshold specifically comprises the following steps:
respectively comparing and judging the flow field boundary similarity, the calculation domain similarity, the speed distribution similarity, the temperature distribution similarity, the pressure distribution similarity and the concentration distribution similarity between the current flow field distribution diagram and any flow field distribution template;
and judging that the similarity of at least 80% of all the similarity conditions reaches a threshold value, and judging that the similarity of the current flow field distribution diagram and any flow field distribution template reaches a similarity threshold value.
Further, the establishing of the flow field model specifically includes:
establishing a turbulence model according to the turbulence condition of the smoke flowing in the flow field boundary range;
aiming at the pressure drop of a flue gas flow equalizing device and a demister layer in the desulfurizing tower, according to a formula
Establishing a porous medium model;
wherein S isiIs a momentum source item in the i direction, Pa/m; mu is flow dynamic viscosity, Pa · s; α is the media permeability; v. ofiIs the i-direction velocity component, m/s; rho is density, kg/m3；C2Is the internal resistance factor, 1/m.
Further, the speed dispersion deviation is calculated by using the following formula:
wherein:
wherein, CνIs a standard deviation coefficient; σ is the standard deviation;
are averages.
The invention also provides a flue gas desulfurization flow field simulation system, which comprises:
the template database generating unit is used for establishing a template database comprising flow field distribution templates and corresponding structure adjusting schemes;
the flow field model generating unit is used for acquiring meteorological data of a site where the target desulfurization equipment is located, and establishing a flow field model by combining the meteorological data and based on the structural size of the target desulfurization equipment;
the flow distribution diagram generating unit is used for simulating the flow field distribution of a preset section in the flue gas channel based on the expected operation condition and the flue gas condition of the target desulfurization equipment and generating a current flow field distribution diagram;
the historical data comparison unit is used for judging whether the similarity between the current flow field distribution diagram and any flow field distribution template reaches a similarity threshold value, and outputting a structure adjustment scheme corresponding to the flow field distribution template so as to adjust the structure parameters of the target desulfurization equipment according to the structure adjustment scheme;
and the adjustment scheme output unit is used for judging that the similarity between the current flow field distribution diagram and any flow field distribution template reaches a similarity threshold value, calculating the structure adjustment data of the corresponding index according to the deviation value, forming a new structure adjustment scheme, outputting the new structure adjustment scheme and updating the database.
Further, the system further comprises an obstacle model generation unit for:
acquiring all obstacle section data in the flue gas channel, judging that the obstacle section exceeds a section threshold value, and taking all obstacles exceeding the section threshold value as obstacle simulation data;
and taking the obstacle simulation data as a reference value generated by the current flow field distribution diagram.
The invention also provides a flue gas desulfurization flow field simulation device, which comprises: the device comprises a data acquisition device, a processor and a memory;
the data acquisition device is used for acquiring data; the memory is to store one or more program instructions; the processor is configured to execute one or more program instructions to perform the method as described above.
The present invention also provides a computer readable storage medium having embodied therein one or more program instructions for executing the method as described above.
According to the flue gas desulfurization flow field simulation method, the system and the device, provided by the invention, the improvement scheme of a target system and equipment is provided according to the flow field numerical simulation result, the meteorological conditions are fused in the generation process of the flow field model, and the influence of field environment factors on the modeling accuracy is considered; and when the improved scheme of the equipment is output, the historical data is fully transferred, and the improved scheme is more conveniently obtained through a comparison result with the historical data, so that the problems that flue gas at the inlet and the outlet of the desulfurization prewashing tower and the absorption tower is deflected, the flow velocity distribution of a key section cannot meet the requirement, gypsum is accumulated at the inlet flue of the prewashing tower and the like are solved in time in the design stage, the technical problem that the dynamic characteristic simulation of the flue gas desulfurization is difficult in the prior art is solved, and therefore the design parameters of the equipment are corrected and optimized based on the flow field simulation result, so that the gas-liquid two-phase flow field is more uniform, the gas-liquid contact is more sufficient, and the reaction efficiency of the equipment is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It should be apparent that the drawings in the following description are merely exemplary, and that other embodiments can be derived from the drawings provided by those of ordinary skill in the art without inventive effort.
The structures, ratios, sizes, and the like shown in the present specification are only used for matching with the contents disclosed in the specification, so that those skilled in the art can understand and read the present invention, and do not limit the conditions for implementing the present invention, so that the present invention has no technical significance, and any structural modifications, changes in the ratio relationship, or adjustments of the sizes, without affecting the functions and purposes of the present invention, should still fall within the scope of the present invention.
FIG. 1 is a flow chart of one embodiment of a flue gas desulfurization flow field simulation method provided by the present invention;
FIG. 2 is a schematic diagram of the outline of the original arrangement of the apparatus in one example;
fig. 3 is a schematic structural diagram of an embodiment of the flue gas desulfurization flow field simulation method system provided by the present invention.
Detailed Description
The present invention is described in terms of particular embodiments, other advantages and features of the invention will become apparent to those skilled in the art from the following disclosure, and it is to be understood that the described embodiments are merely exemplary of the invention and that it is not intended to limit the invention to the particular embodiments disclosed. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In a specific embodiment, as shown in fig. 1, the flue gas desulfurization flow field simulation method provided by the present invention comprises the following steps:
s100: and establishing a template database comprising flow field distribution templates and corresponding structure adjustment schemes. In the project design optimization process, each time a simulation project is completed, a plurality of flow field distribution maps are generated, the flow field distribution maps can be in the form of dot maps or heat maps, and the flow field distribution maps contain the flow field model conditions of each node in the project proceeding process and the structure adjustment schemes corresponding to the corresponding flow field models. For example, when a certain desulfurizing tower is constructed, a first flow field distribution diagram is generated through first modeling, and if the arrangement position of the guide plate is too far forward, the generated adjusting scheme is that the guide plate moves backwards by 10 cm; modeling is carried out again after adjustment, a second flow field distribution diagram is generated, if the problem is solved through the distribution diagram, the first flow field distribution diagram, the second flow field distribution diagram and the guide plate serving as the adjustment scheme are moved backwards by 10cm to establish a data packet, and the data packet is stored in a database. The above examples are merely reference examples, which are intended to illustrate that during historical activities, a large number of data packets are generated, which form a database.
S200: and acquiring meteorological data of a site where the target desulfurization equipment is located, and establishing a flow field model by combining the meteorological data and based on the structural size of the target desulfurization equipment. In the actual working process, the meteorological data of the area where the desulfurization equipment is located can cause great influence on a flow field; that is to say, when the structural size of the desulfurization equipment is the same, the difference of the flow field model is large due to different meteorological data such as local air temperature, air pressure and air speed, and therefore, the meteorological data is introduced, modeling is performed by combining the structural size of the desulfurization equipment, and the model accuracy can be remarkably improved.
Based on the expected operating conditions and the flue gas conditions of the target desulfurization equipment, simulating the flow field distribution of a preset section in the flue gas channel, and generating a current flow field distribution diagram, wherein the current flow field distribution diagram specifically comprises at least one of the following components:
establishing a hydrodynamic model of an inlet flue of the absorption tower, calculating the speed dispersion deviation of the inlet of the absorption tower based on the hydrodynamic model, and if the speed dispersion deviation is more than 15%, arranging a guide plate at the upstream section of the absorption tower to adjust a flow field;
establishing a fluid dynamic model of the flue gas flow equalizing device, calculating the speed dispersion deviation of the flue gas flow equalizing device based on the fluid dynamic model, and if the speed dispersion deviation is more than 15%, adjusting the local aperture ratio of the flue gas flow equalizing device or replacing the local aperture ratio with a special-shaped flue gas flow equalizing device;
establishing a fluid dynamic model of a demister inlet, calculating the speed dispersion deviation of the flue gas flow equalizing device based on the fluid dynamic model, and if the speed dispersion deviation is more than 15%, adjusting the arrangement of spray nozzles of a spray layer;
and establishing a fluid dynamic model of the demister outlet, calculating the speed dispersion deviation of the flue gas flow equalizing device based on the fluid dynamic model, and if the speed dispersion deviation is more than 15%, arranging a guide plate at the outlet elbow of the absorption tower to adjust the flow field.
On the premise of having a database, when a CFD model (i.e., a fluid mechanics model) is built, the CFD simulation is built by 1: 1, and fig. 2 is a schematic outline diagram of the original layout of the project. The model comprises a desulfurizing tower and a front matched flue and a rear matched flue. The absorbent used for desulfurization is provided by a spray layer. According to the actual operation environment of the project, the following assumptions and simplifications are made on the flue gas condition in the system: (1) treating the smoke as an incompressible Newtonian fluid; (2) assuming that the flue gas velocity and temperature distribution at the inlet of the system are uniform; (3) pressure drop of the demister is simulated by adopting a porous medium, and pressure loss equivalent to an actual operation value is generated for simulation; (4) installing a flow guide plate for changing a flow field in the CFD model, wherein the thickness of the flow guide plate is smaller than the size of a flue, and the thickness of the flow guide plate is assumed to be zero during simulation; (5) some internal structures (frameworks, beams, etc.) with small influence on the flow field are ignored in the CFD model; (6) contains all the components in the tower which have great influence on the mixing of gas and liquid phases; (7) the spray nozzles of the spray layer are liquid phase inlets.
S300: simulating the flow field distribution of a preset section in the flue gas channel based on the expected operation condition and the flue gas condition of the target desulfurization equipment, and generating a current flow field distribution diagram; after the digital model is obtained, in order to obtain the flow situation more intuitively, and in order to facilitate comparison with the historical distribution map, a current flow field distribution map needs to be generated. There are two possibilities between the current flow distribution map and the historical distribution map, one of which is that the similarity between the current flow distribution map and the historical distribution map is high and reaches a certain similarity threshold, for example, the similarity reaches more than 80%, and at this time, step S400 is triggered; secondly, the similarity between the two is low and does not reach the preset similarity threshold, for example, the similarity is only 10%, and at this time, step S500 is triggered.
Judging whether the similarity between the current flow field distribution diagram and any flow field distribution template reaches a similarity threshold, specifically comprising the following steps:
respectively comparing and judging the flow field boundary similarity, the calculation domain similarity, the speed distribution similarity, the temperature distribution similarity, the pressure distribution similarity and the concentration distribution similarity between the current flow field distribution diagram and any flow field distribution template;
and judging that the similarity of at least 80% of all the similarity conditions reaches a threshold value, and judging that the similarity of the current flow field distribution diagram and any flow field distribution template reaches a similarity threshold value.
S400: and if the similarity between the current flow field distribution diagram and any flow field distribution template reaches a similarity threshold value, outputting a structure adjustment scheme corresponding to the flow field distribution template so as to adjust the structure parameters of the target desulfurization equipment according to the structure adjustment scheme. Specifically, in response to that the current flow field distribution diagram has high similarity to a certain historically stored flow field distribution template, the structure adjustment scheme in the data packet corresponding to the historically stored flow field distribution template is directly called out, and the structure of the target desulfurization device is adjusted according to the structure adjustment scheme, so that the feedback efficiency can be remarkably improved.
S500: and judging that the similarity between the current flow field distribution diagram and any flow field distribution template reaches a similarity threshold value, calculating the structure adjustment data of the corresponding index according to the deviation value, forming a new structure adjustment scheme, outputting the new structure adjustment scheme, and updating the database. That is, in response to the fact that the similarity between the current flow field distribution diagram and the historically stored flow field distribution template is low, a reference-capable adjustment scheme is lacked, and a corresponding adjustment scheme needs to be generated.
More specifically, in the actual modeling process, simulation tests are usually performed on the working conditions of different loads respectively. In an exemplary use scene, flow field simulation tests under different loads (50%, 75% and 100% working conditions) are carried out on gas-liquid two-phase flow fields in the absorption tower and equipment in the absorption tower, the flow field simulation is used for evaluating the dynamic characteristics of the gas-liquid two-phase flow fields in the absorption tower and guiding the design correction and optimization of the equipment in the absorption tower, so that the gas-liquid two-phase flow fields are more uniform, the gas-liquid contact is more sufficient, and the reaction efficiency of media in the tower is improved. In this example, the simulation range of the digital flow field is from the original flue of the outlet of the induced draft fan to the inlet of the absorption tower, and from the outlet of the absorption tower to the chimney, and the simulation range of the digital flow field includes the equipment in the tower, including a demister and a supporting beam, a spraying layer and a supporting beam (including a nozzle, etc.), a flue gas flow equalizing device and a supporting beam, an oxidation air pipe and an absorption tower stirrer. The slurry spraying effect of the slurry tank of the absorption tower and the stirring and spraying layers of the slurry tank are simulated, meanwhile, the speed dispersion deviation (CV) of relevant sections is required to be not more than 15%, and if the requirement is not met, measures (such as guide plate arrangement, absorption tower spraying layer arrangement, nozzle arrangement, auxiliary part closed loop addition of the spraying layers and the like) to be taken in a modification mode are provided. Through simulation and correction of media entering the absorption tower, the flow field is ensured to be more uniform, a final flow field simulation report is provided, and the flow field simulation cross section comprises the following parts: the absorption tower inlet, the inlet and the outlet of the flue gas flow equalizing device, the inlet and the outlet of each spraying layer of the absorption tower, the nozzle, the inlet and the outlet of the demister of the absorption tower, the outlet of the absorption tower, the inlet of the chimney and the slurry stirring of the body of the absorption tower.
That is, first, a CFD simulation of the flue gas flow equalizing device is performed; after the flue gas is uniformly distributed by the flue gas flow equalizing device, the speed dispersion deviation of the cross section of the absorption tower is less than 15 percent so as to ensure that the flue gas is fully contacted with the slurry without bias flow. After CFD simulation, if the speed dispersion deviation (CV) is larger than 15%, the local aperture ratio of the flue gas flow equalizing device needs to be adjusted, and if necessary, a special-shaped uniform distribution device is adopted to ensure that the speed dispersion deviation of the section of the absorption tower is smaller than 15%. Then performing demister inlet CFD simulation; for a high-efficiency demister, the inlet flow field distribution directly influences the demisting effect, and the speed dispersion deviation of the inlet section of the demister is less than 15% so as to ensure the performance of the demister. The arrangement of the flow field at the inlet section of the demister is directly related to the arrangement of the spraying layer, and after CFD simulation, if the velocity dispersion deviation (CV) is more than 15%, the arrangement of nozzles of the spraying layer is adjusted to ensure that the flow field at the inlet of the demister is uniformly distributed. And if necessary, properly increasing the distance from the spraying layer to the demister to ensure that the speed dispersion deviation of the section of the absorption tower is less than 15%. And then, carrying out closed-loop simulation on the auxiliary part of the spraying layer, and providing suggestions of setting position and setting width of the closed loop of the auxiliary part of the spraying layer.
Wherein the speed dispersion deviation is calculated by using the following formula:
wherein:
in the formula, CνIs a standard deviation coefficient; σ is the standard deviation;
are averages.
Further, the method further comprises:
acquiring all obstacle section data in the flue gas channel, judging that the obstacle section exceeds a section threshold value, and taking all obstacles exceeding the section threshold value as obstacle simulation data;
and taking the obstacle simulation data as a reference value generated by the current flow field distribution diagram.
In the foregoing specific embodiment, the establishing a flow field model specifically includes:
establishing a turbulence model according to the turbulence condition of the smoke flowing in the flow field boundary range;
aiming at the pressure drop of a flue gas flow equalizing device and a demister layer in the desulfurizing tower, according to a formula
Establishing a porous medium model;
wherein S isiIs a momentum source item in the i direction, Pa/m; mu is flow dynamic viscosity, Pa · s; α is the media permeability; v. ofiIs the i-direction velocity component, m/s; rho is density, kg/m3；C2Is the internal resistance factor, 1/m.
During the operation of the desulfurization plant, there may be a risk of fire due to the high temperature reaction, and in order to avoid this risk in the subsequent production, the method further comprises the steps of:
acquiring the current temperature of each part of a flow field in real time;
generating a current temperature heat map based on the current temperature;
overlapping and comparing the current temperature heat map with a temperature threshold heat map, and outputting an early warning signal and starting high-temperature timing when the temperature prompted by at most one current temperature heat map is higher than a temperature threshold;
when the high temperature reaches 10s, the current temperature is still higher than the temperature threshold value, or the current temperature continuously rises in the timing process, a fire alarm early warning signal is sent out, and meanwhile, a fire alarm push is sent out.
In the above embodiment, the flue gas desulfurization flow field simulation method provided by the present invention provides an improved scheme for a target system and equipment according to a flow field numerical simulation result, and fuses meteorological conditions in the generation process of a flow field model, taking into account the influence of field environmental factors on modeling accuracy; and when the improved scheme of the equipment is output, the historical data is fully transferred, and the improved scheme is more conveniently obtained through a comparison result with the historical data, so that the problems that flue gas at the inlet and the outlet of the desulfurization prewashing tower and the absorption tower is deflected, the flow velocity distribution of a key section cannot meet the requirement, gypsum is accumulated at the inlet flue of the prewashing tower and the like are solved in time in the design stage, the technical problem that the dynamic characteristic simulation of the flue gas desulfurization is difficult in the prior art is solved, and therefore the design parameters of the equipment are corrected and optimized based on the flow field simulation result, so that the gas-liquid two-phase flow field is more uniform, the gas-liquid contact is more sufficient, and the reaction efficiency of the equipment is improved.
In addition to the above method, the present invention also provides a flue gas desulfurization flow field simulation system based on the method, as shown in fig. 3, the system includes:
a template database generating unit 100 for establishing a template database including flow field distribution templates and corresponding structure adjustment schemes; in the project receiving process, each time a simulation project is completed, a plurality of flow field distribution maps are generated, the flow field distribution maps can be in the form of dot maps or heat maps, and the flow field distribution maps contain the flow field model conditions of each node in the project proceeding process and the structure adjusting schemes corresponding to the corresponding flow field models. For example, when a certain desulfurizing tower is constructed, a first flow field distribution diagram is generated through first modeling, and if the arrangement position of the guide plate is too far forward, the generated adjusting scheme is that the guide plate moves backwards by 10 cm; modeling is carried out again after adjustment, a second flow field distribution diagram is generated, if the problem is solved through the distribution diagram, the first flow field distribution diagram, the second flow field distribution diagram and the guide plate serving as the adjustment scheme are moved backwards by 10cm to establish a data packet, and the data packet is stored in a database. The above examples are merely reference examples, which are intended to illustrate that during historical activities, a large number of data packets are generated, which form a database.
The flow field model generating unit 200 is used for acquiring meteorological data of a site where the target desulfurization equipment is located, and establishing a flow field model based on the structural size of the target desulfurization equipment by combining the meteorological data; in the actual working process, the meteorological data of the area where the desulfurization equipment is located can cause great influence on a flow field; that is to say, when the structural size of the desulfurization equipment is the same, the difference of the flow field model is large due to different meteorological data such as local air temperature, air pressure and air speed, and therefore, the meteorological data is introduced, modeling is performed by combining the structural size of the desulfurization equipment, and the model accuracy can be remarkably improved.
The flow distribution diagram generation unit 300 is configured to simulate flow field distribution of a preset section in a flue gas channel based on an expected operating condition and a flue gas condition of the target desulfurization device, and generate a current flow field distribution diagram; after the digital model is obtained, in order to obtain the flow situation more intuitively, and in order to facilitate comparison with the historical distribution map, a current flow field distribution map needs to be generated. Two possibilities exist between the current flow distribution diagram and the historical distribution diagram, one is that the similarity between the current flow distribution diagram and the historical distribution diagram is high and reaches a certain similarity threshold, for example, the similarity reaches more than 80%, and at the moment, a control strategy of a historical data comparison unit is triggered; secondly, the similarity between the two is low and does not reach a preset similarity threshold, for example, the similarity is only 10%, and at this time, the control strategy of the step adjustment scheme output unit is triggered.
A historical data comparison unit 400, configured to determine that a similarity between the current flow field distribution diagram and any flow field distribution template reaches a similarity threshold, and output a structure adjustment scheme corresponding to the flow field distribution template, so as to adjust a structure parameter of the target desulfurization device according to the structure adjustment scheme; specifically, in response to that the current flow field distribution diagram has high similarity to a certain historically stored flow field distribution template, the structure adjustment scheme in the data packet corresponding to the historically stored flow field distribution template is directly called out, and the structure of the target desulfurization device is adjusted according to the structure adjustment scheme, so that the feedback efficiency can be remarkably improved.
And an adjustment scheme output unit 500, configured to calculate, when it is determined that the similarity between the current flow field distribution diagram and any flow field distribution template reaches a similarity threshold, structural adjustment data of a corresponding index according to the deviation value, form a new structural adjustment scheme, output the new structural adjustment scheme, and update the database. That is, in response to the fact that the similarity between the current flow field distribution diagram and the historically stored flow field distribution template is low, a reference-capable adjustment scheme is lacked, and a corresponding adjustment scheme needs to be generated.
Further, the system further comprises an obstacle model generation unit 600 for:
acquiring all obstacle section data in the flue gas channel, judging that the obstacle section exceeds a section threshold value, and taking all obstacles exceeding the section threshold value as obstacle simulation data;
and taking the obstacle simulation data as a reference value generated by the current flow field distribution diagram.
In the above specific embodiment, the flue gas desulfurization flow field simulation system provided by the present invention provides an improved scheme for a target device according to a flow field numerical simulation result, and fuses meteorological conditions in the generation process of a flow field model, taking into account the influence of field environmental factors on modeling accuracy; and when the improved scheme of the equipment is output, the historical data is fully transferred, and the improved scheme is more conveniently obtained through a comparison result with the historical data, so that the problems that flue gas at the inlet and the outlet of the desulfurization prewashing tower and the absorption tower is deflected, the flow velocity distribution of a key section cannot meet the requirement, gypsum is accumulated at the inlet flue of the prewashing tower and the like are solved in time in the design stage, the technical problem that the dynamic characteristic simulation of the flue gas desulfurization is difficult in the prior art is solved, and therefore the design parameters of the equipment are corrected and optimized based on the flow field simulation result, so that the gas-liquid two-phase flow field is more uniform, the gas-liquid contact is more sufficient, and the reaction efficiency of the equipment is improved.
Based on the same technical concept, the embodiment of the present application further provides a flue gas desulfurization flow field simulation device, the device includes: the device comprises a data acquisition device, a processor and a memory; the data acquisition device is used for acquiring data; the memory is to store one or more program instructions; the processor is configured to execute one or more program instructions to perform the method as described above.
Based on the same technical concept, the embodiment of the present application also provides a computer-readable storage medium, wherein the computer-readable storage medium contains one or more program instructions, and the one or more program instructions are used for executing the method described above.
In the present specification, each embodiment of the method is described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. Reference is made to the description of the method embodiments.
It is noted that while the operations of the methods of the present invention are depicted in the drawings in a particular order, this is not a requirement or suggestion that the operations must be performed in this particular order or that all of the illustrated operations must be performed to achieve desirable results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step execution, and/or one step broken down into multiple step executions.
Although the present application provides method steps as in embodiments or flowcharts, additional or fewer steps may be included based on conventional or non-inventive approaches. The order of steps recited in the embodiments is merely one manner of performing the steps in a multitude of orders and does not represent the only order of execution. When an apparatus or client product in practice executes, it may execute sequentially or in parallel (e.g., in a parallel processor or multithreaded processing environment, or even in a distributed data processing environment) according to the embodiments or methods shown in the figures. The terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, the presence of additional identical or equivalent elements in a process, method, article, or apparatus that comprises the recited elements is not excluded.
The units, devices, modules, etc. set forth in the above embodiments may be implemented by a computer chip or an entity, or by a product with certain functions. For convenience of description, the above devices are described as being divided into various modules by functions, and are described separately. Of course, in implementing the present application, the functions of each module may be implemented in one or more software and/or hardware, or a module implementing the same function may be implemented by a combination of a plurality of sub-modules or sub-units, and the like. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
Those skilled in the art will also appreciate that, in addition to implementing the controller as pure computer readable program code, the same functionality can be implemented by logically programming method steps such that the controller is in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers and the like. Such a controller may therefore be considered as a hardware component, and the means included therein for performing the various functions may also be considered as a structure within the hardware component. Or even means for performing the functions may be regarded as being both a software module for performing the method and a structure within a hardware component.
The application may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, classes, etc. that perform particular tasks or implement particular abstract data types. The application may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
From the above description of the embodiments, it is clear to those skilled in the art that the present application can be implemented by software plus necessary general hardware platform. Based on such understanding, the technical solutions of the present application may be embodied in the form of a software product, which may be stored in a storage medium, such as a ROM/RAM, a magnetic disk, an optical disk, or the like, and includes several instructions for enabling a computer device (which may be a personal computer, a mobile terminal, a server, or a network device) to execute the method according to the embodiments or some parts of the embodiments of the present application.
The embodiments in the present specification are described in a progressive manner, and the same or similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. The application is operational with numerous general purpose or special purpose computing system environments or configurations. For example: personal computers, server computers, hand-held or portable devices, tablet-type devices, multiprocessor systems, microprocessor-based systems, set top boxes, programmable electronic devices, network PCs, minicomputers, mainframe computers, distributed computing environments that include any of the above systems or devices, and the like.
The above-mentioned embodiments are further described in detail for the purpose of illustrating the invention, and it should be understood that the above-mentioned embodiments are only illustrative of the present invention and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (10)
1. A flue gas desulfurization flow field simulation method, comprising:
establishing a template database comprising flow field distribution templates and corresponding structure adjustment schemes;
acquiring meteorological data of a site where target desulfurization equipment is located, and establishing a flow field model by combining the meteorological data and based on the structural size of the target desulfurization equipment;
simulating the flow field distribution of a preset section in the flue gas channel based on the expected operation condition and the flue gas condition of the target desulfurization equipment, and generating a current flow field distribution diagram;
judging whether the similarity between the current flow field distribution diagram and any flow field distribution template reaches a similarity threshold value, and outputting a structure adjustment scheme corresponding to the flow field distribution template so as to adjust the structure parameters of the target desulfurization equipment according to the structure adjustment scheme;
and judging that the similarity between the current flow field distribution diagram and any flow field distribution template reaches a similarity threshold value, calculating the structure adjustment data of the corresponding index according to the deviation value, forming a new structure adjustment scheme, outputting the new structure adjustment scheme, and updating the database.
2. The flue gas desulfurization flow field simulation method of claim 1, further comprising:
acquiring all obstacle section data in the flue gas channel, judging that the obstacle section exceeds a section threshold value, and taking all obstacles exceeding the section threshold value as obstacle simulation data;
and taking the obstacle simulation data as a reference value generated by the current flow field distribution diagram.
3. The flue gas desulfurization flow field simulation method of claim 1, wherein the flow field distribution of a preset segment in a flue gas channel is simulated based on the expected operating conditions and flue gas conditions of a target desulfurization device, and a current flow field distribution diagram is generated, specifically including at least one of:
establishing a hydrodynamic model of an inlet flue of the absorption tower, calculating the speed dispersion deviation of the inlet of the absorption tower based on the hydrodynamic model, and if the speed dispersion deviation is more than 15%, arranging a guide plate at the upstream section of the absorption tower to adjust a flow field;
establishing a fluid dynamic model of the flue gas flow equalizing device, calculating the speed dispersion deviation of the flue gas flow equalizing device based on the fluid dynamic model, and if the speed dispersion deviation is more than 15%, adjusting the local aperture ratio of the flue gas flow equalizing device or replacing the local aperture ratio with a special-shaped flue gas flow equalizing device;
establishing a fluid dynamic model of a demister inlet, calculating the speed dispersion deviation of the flue gas flow equalizing device based on the fluid dynamic model, and if the speed dispersion deviation is more than 15%, adjusting the arrangement of spray nozzles of a spray layer;
and establishing a fluid dynamic model of the demister outlet, calculating the speed dispersion deviation of the flue gas flow equalizing device based on the fluid dynamic model, and if the speed dispersion deviation is more than 15%, arranging a guide plate at the outlet elbow of the absorption tower to adjust the flow field.
4. The flue gas desulfurization flow field simulation method of claim 1, wherein determining that the similarity of the current flow field distribution diagram and any flow field distribution template reaches a similarity threshold specifically comprises:
respectively comparing and judging the flow field boundary similarity, the calculation domain similarity, the speed distribution similarity, the temperature distribution similarity, the pressure distribution similarity and the concentration distribution similarity between the current flow field distribution diagram and any flow field distribution template;
and judging that the similarity of at least 80% of all the similarity conditions reaches a threshold value, and judging that the similarity of the current flow field distribution diagram and any flow field distribution template reaches a similarity threshold value.
5. The flue gas desulfurization flow field simulation method of claim 1, wherein the establishing of the flow field model specifically comprises:
establishing a turbulence model according to the turbulence condition of the smoke flowing in the flow field boundary range;
aiming at the pressure drop of a flue gas flow equalizing device and a demister layer in the desulfurizing tower, according to a formula
Establishing a porous medium model;
wherein S isiIs a momentum source item in the i direction, Pa/m; mu is flow dynamic viscosity, Pa · s; α is the media permeability; v. ofiIs the i-direction velocity component, m/s; rho is density, kg/m3；C2Is the internal resistance factor, 1/m.
6. The flue gas desulfurization flow field simulation method of claim 3, wherein the velocity dispersion deviation is calculated using the following equation:
wherein
Wherein, CνIs a standard deviation coefficient; σ is the standard deviation;
are averages.
7. A flue gas desulfurization flow field simulation system, the system comprising:
the template database generating unit is used for establishing a template database comprising flow field distribution templates and corresponding structure adjusting schemes;
the flow field model generating unit is used for acquiring meteorological data of a site where the target desulfurization equipment is located, and establishing a flow field model by combining the meteorological data and based on the structural size of the target desulfurization equipment;
the flow distribution diagram generating unit is used for simulating the flow field distribution of a preset section in the flue gas channel based on the expected operation condition and the flue gas condition of the target desulfurization equipment and generating a current flow field distribution diagram;
the historical data comparison unit is used for judging whether the similarity between the current flow field distribution diagram and any flow field distribution template reaches a similarity threshold value, and outputting a structure adjustment scheme corresponding to the flow field distribution template so as to adjust the structure parameters of the target desulfurization equipment according to the structure adjustment scheme;
and the adjustment scheme output unit is used for judging that the similarity between the current flow field distribution diagram and any flow field distribution template reaches a similarity threshold value, calculating the structure adjustment data of the corresponding index according to the deviation value, forming a new structure adjustment scheme, outputting the new structure adjustment scheme and updating the database.
8. The flue gas desulfurization flow field simulation system of claim 7, further comprising an obstacle model generation unit for:
acquiring all obstacle section data in the flue gas channel, judging that the obstacle section exceeds a section threshold value, and taking all obstacles exceeding the section threshold value as obstacle simulation data;
and taking the obstacle simulation data as a reference value generated by the current flow field distribution diagram.
9. A flue gas desulfurization flow field simulation device, the device comprising: the device comprises a data acquisition device, a processor and a memory;
the data acquisition device is used for acquiring data; the memory is to store one or more program instructions; the processor, configured to execute one or more program instructions to perform the method of any of claims 1-6.
10. A computer-readable storage medium having one or more program instructions embodied therein for performing the method of any of claims 1-6.
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| CN114880943B (en) * | 2022-05-24 | 2023-02-03 | 安及义实业（上海）有限公司 | Bioreactor design method and system based on database |
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