CN110645592A - Combustion system improvement method based on multiphase partition coupling - Google Patents
Combustion system improvement method based on multiphase partition coupling Download PDFInfo
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Abstract
The invention discloses a combustion system improvement method based on multiphase partition coupling, which comprises the steps of constructing a combustion system model according to boundary conditions of a combustion system, carrying out numerical simulation analysis on the combustion system model, analyzing a temperature field, a speed field and a component field, then adopting a multiphase partition coupling combustion technology, arranging an interface and boundary conditions of clean energy in a proper area of the combustion system model, calculating the improved combustion system model again, determining the combustion efficiency and emission indexes of the improved combustion system model, and when the combustion efficiency and the emission indexes reach the improvement targets, taking the interface parameters and the boundary conditions of the clean energy as modification parameters of the combustion system to improve the combustion system, improve the combustion efficiency of the combustion system, and reduce carbon emission and pollutant emission.
Description
Technical Field
The invention relates to the technical field of combustion, in particular to a combustion system improvement method based on multiphase partition coupling.
Background
Traditional combustion facilities generally adopt a single-phase combustion mode, and are gas-phase, liquid-phase or solid-phase energy forms, and generally are single energy sources, such as natural gas, coal and the like, so that the problems of poor fuel adaptability, poor flexibility and poor safety of combustion equipment can be caused, in addition, the problem that NOx emission does not reach the standard in the combustion process can also be caused by a general combustion mode without partition, the problem that the NOx emission does not reach the standard is solved, and a combustion post-treatment process, such as SNCR, SCR and other technologies, is generally adopted, so that extra consumption cost is formed.
Disclosure of Invention
Aiming at the problems that most of the existing combustion equipment can only adopt single-phase and single energy and is not partitioned or unreasonably partitioned and the like, the invention provides a combustion system improvement method based on multi-phase partition coupling.
The invention is realized by the following technical scheme:
a combustion system improvement method based on multiphase partition coupling comprises the following steps;
s1, acquiring boundary conditions of the combustion system and data of components, temperature and pressure in the combustion system;
s2, constructing a combustion system model according to the boundary conditions obtained in the step S1, and solving the combustion system model to obtain the component, temperature and pressure data of the combustion system model;
s3, the component, temperature and pressure data of the combustion system model obtained in the step S2 are corrected, and the data error of the combustion system model is smaller than the preset error;
s4, analyzing the temperature, pressure and component data of the combustion system model obtained in the step S3, and determining the combustion efficiency and NOx emission of the combustion system;
s5, presetting a combustion efficiency target value and a NOx emission target value after the combustion system is improved according to the combustion efficiency and the NOx emission obtained in the step S4;
s6, partitioning the combustion system model, setting interfaces and boundary conditions of single-phase or multi-phase clean fuel in one or more areas of the combustion system model, solving the improved combustion system model according to the numerical simulation model, and determining the combustion efficiency and NOx emission of the improved combustion system model during combustion simulation;
s7, comparing the combustion efficiency and the NOx emission of the combustion system model obtained in step S6 with the combustion efficiency target value and the NOx emission target value set in step S5;
when the combustion efficiency or/and the NOx emission of the improved combustion system model reaches a set target value, determining the interface and boundary conditions of clean fuel as modification parameters of the combustion system;
when the combustion efficiency or/and the NOx emission of the improved combustion system model does not reach the target value, interface parameters and boundary conditions of the clean fuel are modified, and the steps S6 and S7 are repeated until the combustion efficiency or/and the NOx emission reach the target value.
Preferably, the boundary conditions in step S1 include fuel property data, combustion air data of the combustion system, internal heat exchange area of the combustion system, and structural size data of the combustion system.
Preferably, the specific method for obtaining the composition, temperature and pressure data of the combustion system model in step S2 is as follows:
1) gridding the space of the combustion system model;
2) constructing a numerical simulation model of the combustion system according to the CFD numerical simulator and by combining boundary conditions;
3) and solving the grid according to the numerical simulation model to obtain the component, temperature and pressure data of the combustion system model.
Preferably, the mesh mass is greater than 0.2.
Preferably, the numerical simulation model comprises at least one model of a standard kappa-epsilon double-equation model, a discrete phase model random tracking model, a discrete transport model dynamics/diffusion model, a fuel type post-output model and a component transport model.
Preferably, the method for calibrating the composition, temperature and pressure data of the combustion system model in step S3 is as follows:
and calculating the difference value between the data obtained in the step S3 and the data measured in the step S1, then calculating the percentage of the difference value and the data measured in the step S1, and modifying the numerical simulation model to solve the grid again when the obtained percentage is greater than a preset error value until the error of the data obtained in the step S3 is less than the error value.
Preferably, in step S6, the space of the combustion system model is divided into a reduction zone, a burnout zone, an alternative or/and a stable combustion zone.
Preferably, when the combustion efficiency and the NOx emission are improved simultaneously in step S6, the method is as follows:
setting interfaces and boundary conditions of clean fuel in a substitution or/and stable combustion area of the combustion system model, performing grid division on the space of the combustion system model after improvement, solving the grid according to a numerical simulation model to obtain component, temperature and pressure data of the combustion system model coupled with the clean fuel during simulated combustion, and determining the combustion efficiency and NOx emission of the combustion system model according to the obtained component, temperature and pressure data.
Preferably, when the NOx emission amount is improved in step S6, the method is as follows:
setting interfaces and boundary conditions of clean fuel in the reduction region of the combustion system model constructed in the step S2, performing grid division on the space of the combustion system model after improvement, then solving the grid according to the numerical simulation model to obtain component data of the combustion system model coupled with the clean fuel during simulated combustion, and determining the NOx emission of the combustion system model according to the obtained component data of the combustion system.
Preferably, when the combustion efficiency is improved in step S6, the method is as follows:
setting interfaces and boundary conditions of clean fuel in the burnout area of the combustion system model constructed in the step S3, performing grid division on the space of the combustion system model after improvement, solving the grid according to the numerical simulation model to obtain the component and temperature data of the combustion system model coupled with the clean fuel during simulated combustion, and determining the combustion efficiency of the combustion system model according to the obtained component and temperature data of the combustion system.
Compared with the prior art, the invention has the following beneficial technical effects:
the invention provides a combustion system improvement method based on multiphase partition coupling, which comprises the steps of constructing a combustion system model according to boundary conditions of a combustion system, carrying out numerical simulation analysis on the combustion system model, analyzing a temperature field, a velocity field and a component field, then adopting a multiphase partition coupling combustion technology, arranging an interface and boundary conditions of clean energy in a proper area of the combustion system model, calculating the improved combustion system model again, determining the combustion efficiency and emission indexes of the improved combustion system model, and when the combustion efficiency and the emission indexes reach the improvement targets, taking the interface parameters and the boundary conditions of the clean energy as modification parameters of the combustion system to improve the combustion system, improve the combustion efficiency of the combustion system, and reduce carbon emission and pollutant emission.
Drawings
FIG. 1 is a schematic diagram of an improved method of the present invention for a multi-phase zone-coupled combustion system;
FIG. 2 is a schematic diagram of the present invention for building a numerical simulation model;
Detailed Description
The present invention will now be described in further detail with reference to the attached drawings, which are illustrative, but not limiting, of the present invention.
As shown in fig. 1 and 2, a method for improving a combustion system based on multi-phase partition coupling comprises the following steps:
s1, obtaining the combustion efficiency of the combustion system and the NOx emission index.
Specifically, the operation data of the combustion system, including fuel characteristics, furnace temperature, flue gas temperature and components thereof, are collected, the combustion system is diagnosed according to the operation data, and the combustion efficiency, the thermal efficiency and the emission index of the combustion system are determined.
The combustion system is a kiln combustion system or a boiler combustion system.
S2, boundary conditions of the combustion system are obtained, as well as composition, temperature, and pressure data within the combustion system.
Specifically, the boundary conditions include fuel characteristic data, combustion-supporting air data of the combustion system, heat exchange area in a hearth of the combustion system, and structural size data of the combustion system;
the production boiler also includes process material data and combustion system temperature, pressure and composition data.
Fuel characteristic data, such as coal-fired industrial analysis, elemental analysis data, coal fines flow data; the combustion-supporting air data of the combustion system comprises flow, temperature and pressure; the structural size data of the combustion system is structural size data of a boiler or a kiln; and technological material data, such as raw material composition of a decomposing furnace in cement industry and feeding composition of a glass kiln.
S3, calculating composition, temperature and pressure data in the furnace according to the boundary conditions of the combustion system.
1) And constructing a combustion system model according to the structural size data of the combustion system obtained in the step S2.
2) And (4) carrying out grid division on the space for constructing the combustion system model, wherein the grid quality is more than 0.2.
3) According to the CFD numerical simulator, and in combination with the characteristic data of the fuel, the combustion-supporting air data of the combustion system and the heat exchange area of the combustion system, which are obtained in the step 2, a numerical simulation model of the combustion system is constructed;
4) solving the grid according to the numerical simulation model to obtain the component, temperature and pressure data of the combustion system model;
the grid is used as a carrier for solving an equation in numerical simulation calculation, the space of a combustion system model needs to be divided discretely, namely the calculation grid is divided, and the grid quality needs to be more than 0.2.
Selecting a numerical simulation calculation model: a standard kappa-epsilon double-pass model is adopted for a gas phase flow field; adopting a discrete phase model for the gas-solid phase flow field; adopting a random tracking model for the interaction between the discrete phase turbulences; a discrete transport model is adopted for pulverized coal combustion; the combustion of coke uses a kinetic/diffusion model; generating nitrogen oxides by adopting a fuel type rear output model; the reduction of nitrogen oxides employs a component transport model.
S4, comparing the component, temperature and pressure data of the combustion system model obtained in the step S3 with the component, temperature and pressure data of the combustion system measured in the step S2 one by one, and modifying the numerical simulation model to solve the grid again when the error between the data obtained in the step S3 and the data measured in the step S2 is more than +/-5% until the error between the data obtained in the step S3 and the data measured in the step S2 is less than +/-5%.
And S5, obtaining the temperature, pressure and composition data according to the step S4 for analysis, and determining the combustion efficiency and the NOx emission amount of the combustion system.
The combustion efficiency of the fuel is determined based on the oxygen content and CO concentration of the components in the combustion process.
The amount of NOx emissions is determined based on the concentration of NOx during combustion.
S6, setting an oxygen content target value, a CO concentration target value and a NOx concentration target value of the combustion system model in the simulated combustion process according to the combustion efficiency and the NOx emission obtained in the step S5.
When the oxygen content and the CO concentration in the combustion process are larger than the target oxygen content and the target CO concentration, the alternative zone or/and the burnout zone or/and the stable combustion zone are improved.
The reduction zone is modified when the concentration of NOx during combustion is greater than a NOx concentration target value.
For example, flue gas CO concentrations greater than 150ppm and oxygen levels greater than 3.5% (V) require modification of the alternate or/and burnout zones of the combustion system.
S7, designing a modification scheme of the combustion system according to the oxygen content target value, the CO concentration target value and the NOx concentration target value set in the step S6.
The method comprises the steps of partitioning a combustion system model, setting interfaces and boundary conditions of single-phase or multi-phase clean fuel in one or more areas of the combustion system model, solving the improved combustion system model according to a numerical simulation model, and determining the combustion efficiency and NOx emission of the improved combustion system model during combustion simulation.
The single-phase or multi-phase clean fuel refers to natural gas, hydrogen, biomass oil, biomass gas, alcohol ether fuel, industrial and domestic organic garbage and sludge.
Firstly, the scheme for simultaneously improving the combustion efficiency and the NOx generation amount is as follows:
the method comprises the steps of partitioning the space of a combustion system model into a substitution or/and stable combustion area, a burnout area and a reduction area, setting interfaces and boundary conditions of clean fuel in the substitution or/and stable combustion area, carrying out grid division on the space after the combustion system model is improved, then solving a grid according to a numerical simulation model to obtain component, temperature and pressure data of the combustion system model after the clean fuel is coupled in the simulated combustion process, and determining the oxygen content, CO concentration and NOx concentration of the combustion system model in the simulated combustion process according to the obtained component, temperature and pressure data.
And when the simulated oxygen content, CO concentration and NOx concentration are all smaller than the oxygen content target value, the CO concentration target value and the NOx concentration target value, determining the interface and boundary conditions of the clean fuel as modification parameters of the substitution area.
And when any one of the simulated oxygen content, the simulated CO concentration and the simulated NOx concentration is larger than the preset target value, modifying the interface and the boundary condition of the clean fuel, and repeating the process until the simulated oxygen content, the simulated CO concentration and the simulated NOx concentration all meet the preset target value, and at the moment, the combustion efficiency and the NOx emission all meet the improvement requirement.
For example, when the CO concentration in the combustion system model is less than 50ppm and the NOx production amount is reduced by 50-75%, the interface and boundary conditions of the coupled clean fuel are modification parameters of the combustion system.
Secondly, the scheme for improving the NOx emission is as follows:
the method comprises the steps of partitioning the space of a combustion system model into a substitution or/and stable combustion area, a burnout area and a reduction area, setting interfaces and boundary conditions of clean fuel in the reduction area, carrying out grid division on the space after the combustion system model is improved, then solving a grid according to a numerical simulation model to obtain the component and temperature data of the combustion system model coupled with the clean fuel in the simulated combustion process, and determining the NOx concentration of the combustion system model in the simulated combustion process according to the obtained component and temperature data of the combustion system.
And when the simulated NOx concentration is smaller than the NOx concentration target value, determining the interface and boundary conditions of the clean fuel as the modification parameters of the reduction region.
And when the NOx concentration is larger than the preset value requirement, modifying the interface and the boundary condition of the clean fuel, and repeating the process until the NOx concentration is smaller than the NOx concentration target value.
For example, clean energy with reducing property is coupled in the reducing region according to the NOx generation amount in the combustion system, and when the concentration of NOx is reduced by 50-75%, the interface and boundary conditions of the coupled clean fuel are modification parameters of the reducing region of the combustion system.
Thirdly, the scheme for improving the combustion efficiency is as follows:
the method comprises the steps of partitioning the space of a combustion system model into a substitution or/and stable combustion area, a burnout area and a reduction area, setting interfaces and boundary conditions of clean fuel in the burnout area, carrying out grid partition on the space after the combustion system model is improved, then solving a grid according to a numerical simulation model to obtain temperature and pressure data of the combustion system model coupled with the clean fuel in the simulated combustion process, and determining the oxygen content and CO concentration of the combustion system model in the simulated combustion process according to the obtained temperature and pressure data of the combustion system.
And when the simulated oxygen content and the simulated CO concentration are both smaller than the oxygen content target value and the CO concentration target value, determining the interface and boundary conditions of the clean fuel as the modification parameters of the burnout zone.
And when any one of the simulated oxygen content and the simulated CO concentration is larger than the preset target value requirement, modifying the interface and the boundary condition of the clean fuel, and repeating the process until the simulated oxygen content and the simulated CO concentration are both smaller than the oxygen content target value and the CO concentration target value.
For example, clean fuel is coupled in a burnout zone of the combustion system according to the concentration of CO, and when the concentration of CO is less than 50ppm, the interface and boundary conditions of the coupled clean fuel are modification parameters of the burnout zone of the combustion system.
For example, if the combustion efficiency of the boiler (kiln) is low, the fluctuation of the concentration of CO in the discharged flue gas is large and is larger than 150ppm, the combustion efficiency of the boiler (kiln) can be improved, the burnout area of the boiler (kiln) is selected, clean fuel combustion is coupled, and the burnout efficiency of the boiler (kiln) is improved.
If the NOx emission of the flue gas of the boiler (kiln) does not meet the requirement of environmental protection emission, the oxygen content of the reduction zone can be properly adjusted to form a reduction zone, and then the temperature data (900-1200 ℃) and the component data (the NOx concentration is 100-1500 ppm, O is contained in the flue gas of the boiler (kiln) are obtained according to the temperature data in the boiler (900-1200 ℃), the oxygen content of the reduction zone is2% volume fraction is less than 0.5%), selecting a specific reduction region, coupling reductive clean energy in the reduction region, and reducing NOx emission of the boiler (kiln);
in the substitution area of the boiler (kiln), a clean energy and coal-fired coupled burner is adopted to substitute part of the coal (5-30%); the original ignition and combustion-supporting system is replaced by clean energy.
The invention provides a combustion system improvement method based on multiphase partition coupling, which can replace coal by 5-30% after modifying a substitution or/and stable combustion area; can completely replace fuel oil in the ignition and combustion-supporting area.
After the burnout zone is coupled and transformed, the concentration of discharged flue gas CO is less than 120ppm, and the burnout rate of the fire coal is improved; after the reduction zone is modified, the concentration of NOx in the discharged flue gas is reduced by 30-90%;
after the reduction zone is coupled and transformed, the NOx emission is reduced by 30-90%, the combustion efficiency is improved by 0.5-5%, and coal is replaced by 5-30%;
and S7, determining a modification scheme according to the step S6, developing equipment design and engineering design, and modifying the combustion system.
Example 1
Case (2): 5000 ton/day low nitrogen coupling of cement decomposing furnace
The first step is as follows: acquiring coal industrial analysis and element analysis, raw material component analysis data, rotary kiln coal flow and combustion-supporting air data; the position, the size, the flow, the temperature and the pressure of a tertiary air and decomposing furnace interface; the position, size, flow, temperature and pressure of the interface between the fire coal and the decomposing furnace; the interface position, size, flow, temperature and pressure of the raw material and the decomposing furnace; overall size data of the decomposing furnace: height, diameter, flue gas inlet diameter, throat size, etc.; flue gas DCS composition analysis data.
The second step is that: taking the bottom of a smoke box as a 0-meter layer, drilling 4 detection holes with the diameter of 50 millimeters upwards at intervals of 1.5-3 meters, in east, south, west and north of the same height, detecting by adopting a gas composition, pressure and temperature integrated detection instrument, wherein the distance between a probe of the detection instrument and a handle is more than 1.5 meters, and the detection instrument respectively penetrates into a furnace body by 0.5 meter, 1 meter and 1.5 meters according to the probe to detect three groups of data; then continuing to move upwards for 1.5-3 meters, and repeating the steps of punching and detecting; measuring 10 layers of data, and totally 120 groups of data; and after the data measurement is finished, the detection hole is blocked by adopting a refractory material.
The third step: constructing a model of the cement decomposing furnace according to the data obtained in the first step, and discretizing the three-dimensional structure of the cement decomposing furnace by using a grid dividing tool, wherein the grid quality is more than 0.2; selecting a gas phase flow field, a gas-solid phase flow field, a discrete phase turbulence random tracking model, a pulverized coal combustion discrete type transportation model, a coke combustion dynamics/diffusion model, a nitrogen oxide generation model and a nitrogen oxide reduction transportation model, and establishing a numerical simulator.
The fourth step: performing numerical simulation calculation by using a numerical simulator; carrying out comparative analysis on the simulated temperature field, pressure field, component field and NOx concentration field and the second-step detection data; and correct the model to meet the actual accuracy (+ -5%) requirements.
The fifth step: according to the numerical simulation result meeting the precision, selecting the interval of NOx concentration (more than 350 ppm), oxygen content (less than 0.5%) and temperature (850-1150 ℃) as a reducing agent injection area, and calculating the injection amount of the reducing agent to be about 1-10% of the coal combustion amount of the decomposing furnace.
And a sixth step: for the decomposing furnace, a certain number of reducing agent nozzles are adopted, the spraying direction and angle are set, the flow and speed of the reducing agent are sprayed, and a numerical simulation model is established. By changing the above conditions and carrying out simulation calculation, the emission of the NOx in the flue gas can be reduced by more than 30%.
The seventh step: designing the size of a nozzle according to simulation, and perforating a kiln; designing a reducing agent system, and installing a pipeline and a nozzle; debugging and operating.
Eighth step: and (4) analyzing an operation result, and reducing the emission of the flue gas NOx by about 1/2 after adopting a reducing agent partition coupling technology, thereby meeting the simulation analysis conclusion.
The invention provides an improvement method of a combustion system based on multiphase coupling, which comprises the steps of constructing a combustion system model to carry out numerical simulation analysis on combustion equipment, analyzing a temperature field, a speed field and a component field, and then adopting a multiphase partition coupling combustion technology to select proper interval coupling clean energy or garbage or sludge for combustion, wherein the clean energy comprises natural gas, hydrogen, biomass oil, biomass gas, alcohol ether fuel or/and industrial and domestic organic garbage and sludge, so that on one hand, the proportion of the clean energy can be increased, the combustion efficiency can be improved, and the carbon emission and pollutant emission can be reduced; on the other hand, the garbage or sludge can be effectively treated, and secondary pollution is avoided.
The above-mentioned contents are only for illustrating the technical idea of the present invention, and the protection scope of the present invention is not limited thereby, and any modification made on the basis of the technical idea of the present invention falls within the protection scope of the claims of the present invention.
Claims (10)
1. A combustion system improvement method based on multiphase partition coupling is characterized by comprising the following steps;
s1, acquiring boundary conditions of the combustion system and data of components, temperature and pressure in the combustion system;
s2, constructing a combustion system model according to the boundary conditions obtained in the step S1, and solving the combustion system model to obtain the component, temperature and pressure data of the combustion system model;
s3, the component, temperature and pressure data of the combustion system model obtained in the step S2 are corrected, and the data error of the combustion system model is smaller than the preset error;
s4, analyzing the temperature, pressure and component data of the combustion system model obtained in the step S3, and determining the combustion efficiency and NOx emission of the combustion system;
s5, presetting a combustion efficiency target value and a NOx emission target value after the combustion system is improved according to the combustion efficiency and the NOx emission obtained in the step S4;
s6, partitioning the combustion system model, setting interfaces and boundary conditions of single-phase or multi-phase clean fuel in one or more areas of the combustion system model, solving the improved combustion system model according to the numerical simulation model, and determining the combustion efficiency and NOx emission of the improved combustion system model during combustion simulation;
s7, comparing the combustion efficiency and the NOx emission of the combustion system model obtained in step S6 with the combustion efficiency target value and the NOx emission target value set in step S5;
when the combustion efficiency or/and the NOx emission of the improved combustion system model reaches a set target value, determining the interface and boundary conditions of clean fuel as modification parameters of the combustion system;
when the combustion efficiency or/and the NOx emission of the improved combustion system model does not reach the target value, interface parameters and boundary conditions of the clean fuel are modified, and the steps S6 and S7 are repeated until the combustion efficiency or/and the NOx emission reach the target value.
2. The method for improving the combustion system based on the multi-phase partition coupling as claimed in claim 1, wherein the boundary conditions in the step S1 include fuel property data, combustion air data of the combustion system, internal heat exchange area of the combustion system and structural size data of the combustion system.
3. The method for improving the combustion system based on the multi-phase partition coupling as claimed in claim 1, wherein the specific method for obtaining the composition, temperature and pressure data of the combustion system model in the step S2 is as follows:
1) gridding the space of the combustion system model;
2) constructing a numerical simulation model of the combustion system according to the CFD numerical simulator and by combining boundary conditions;
3) and solving the grid according to the numerical simulation model to obtain the component, temperature and pressure data of the combustion system model.
4. The multiphase partition coupled combustion system improvement method of claim 3, wherein the grid mass is greater than 0.2.
5. The method of claim 3, wherein the numerical simulation model comprises at least one of a standard kappa-epsilon double equation model, a discrete phase model random tracking model, a discrete transport model dynamics/diffusion model, a fuel type post-output model, and a component transport model.
6. The improvement method of the combustion system based on the multi-phase partition coupling as claimed in claim 1, wherein the calibration method of the composition, temperature and pressure data of the combustion system model in step S3 is as follows:
and calculating the difference value between the data obtained in the step S3 and the data measured in the step S1, then calculating the percentage of the difference value and the data measured in the step S1, and modifying the numerical simulation model to solve the grid again when the obtained percentage is greater than a preset error value until the error of the data obtained in the step S3 is less than the error value.
7. The method for improving the combustion system based on the multi-phase partition coupling as claimed in claim 1, wherein the space of the combustion system model is divided into a reduction zone, a burnout zone, a substitution zone and/or a stable combustion zone in step S6.
8. The improvement method for the combustion system based on the multi-phase partition coupling as claimed in claim 7, wherein when the combustion efficiency and the NOx emission are improved simultaneously in the step S6, the method is as follows:
setting interfaces and boundary conditions of clean fuel in a substitution or/and stable combustion area of the combustion system model, performing grid division on the space of the combustion system model after improvement, solving the grid according to a numerical simulation model to obtain component, temperature and pressure data of the combustion system model coupled with the clean fuel during simulated combustion, and determining the combustion efficiency and NOx emission of the combustion system model according to the obtained component, temperature and pressure data.
9. The improvement method for the combustion system based on the multiphase partition coupling as recited in claim 7, wherein when the NOx emission is improved in the step S6, the method is as follows:
setting interfaces and boundary conditions of clean fuel in the reduction region of the combustion system model constructed in the step S2, performing grid division on the space of the combustion system model after improvement, then solving the grid according to the numerical simulation model to obtain component data of the combustion system model coupled with the clean fuel during simulated combustion, and determining the NOx emission of the combustion system model according to the obtained component data of the combustion system.
10. The improvement method of the combustion system based on the multi-phase partition coupling as claimed in claim 7, wherein when the combustion efficiency is improved in step S6, the method is as follows:
setting interfaces and boundary conditions of clean fuel in the burnout area of the combustion system model constructed in the step S3, performing grid division on the space of the combustion system model after improvement, solving the grid according to the numerical simulation model to obtain the component and temperature data of the combustion system model coupled with the clean fuel during simulated combustion, and determining the combustion efficiency of the combustion system model according to the obtained component and temperature data of the combustion system.
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Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103631997A (en) * | 2013-11-26 | 2014-03-12 | 浙江工商大学 | Modeling method of boiler burner |
| WO2014075795A1 (en) * | 2012-11-16 | 2014-05-22 | Thomas Merklein | Cfd simulation of a combustion chamber with a plurality of burners with separate consideration of the fuel and air components originating from each burner |
| CN104102842A (en) * | 2014-07-17 | 2014-10-15 | 烟台龙源电力技术股份有限公司 | Nitrogen oxide emission predicting method and device based on economic index parameters |
| CN106327021A (en) * | 2016-08-31 | 2017-01-11 | 西安艾贝尔科技发展有限公司 | Boiler combustion optimization air distribution method based on online model prediction |
| CN106383944A (en) * | 2016-09-12 | 2017-02-08 | 广东电网有限责任公司电力科学研究院 | Simulation method and device of combustion characteristic generation numerical value of utility boiler pulverized coal under variable over fire air volume |
| CN106838979A (en) * | 2016-11-08 | 2017-06-13 | 沃森测控技术（河北）有限公司 | Based on boiler furnace grid detection CO and O2The distribution field construction method of concentration |
| CN108984842A (en) * | 2018-06-20 | 2018-12-11 | 内蒙古工业大学 | A kind of design method and design platform of aggregate drying coal burner |
| CN110263467A (en) * | 2019-06-26 | 2019-09-20 | 东北电力大学 | A kind of Process In A Tangential Firing numerical analysis method based on field coordination principle |
-
2019
- 2019-10-12 CN CN201910970027.6A patent/CN110645592A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2014075795A1 (en) * | 2012-11-16 | 2014-05-22 | Thomas Merklein | Cfd simulation of a combustion chamber with a plurality of burners with separate consideration of the fuel and air components originating from each burner |
| CN103631997A (en) * | 2013-11-26 | 2014-03-12 | 浙江工商大学 | Modeling method of boiler burner |
| CN104102842A (en) * | 2014-07-17 | 2014-10-15 | 烟台龙源电力技术股份有限公司 | Nitrogen oxide emission predicting method and device based on economic index parameters |
| CN106327021A (en) * | 2016-08-31 | 2017-01-11 | 西安艾贝尔科技发展有限公司 | Boiler combustion optimization air distribution method based on online model prediction |
| CN106383944A (en) * | 2016-09-12 | 2017-02-08 | 广东电网有限责任公司电力科学研究院 | Simulation method and device of combustion characteristic generation numerical value of utility boiler pulverized coal under variable over fire air volume |
| CN106838979A (en) * | 2016-11-08 | 2017-06-13 | 沃森测控技术（河北）有限公司 | Based on boiler furnace grid detection CO and O2The distribution field construction method of concentration |
| CN108984842A (en) * | 2018-06-20 | 2018-12-11 | 内蒙古工业大学 | A kind of design method and design platform of aggregate drying coal burner |
| CN110263467A (en) * | 2019-06-26 | 2019-09-20 | 东北电力大学 | A kind of Process In A Tangential Firing numerical analysis method based on field coordination principle |
Non-Patent Citations (5)
| Title |
|---|
| 周勇: "煤粉再燃反应条件对NH3非催化还原NOx过程影响的实验研究", 《中国优秀硕士学位论文库》 * |
| 李应保等: "超临界墙式切圆锅炉燃烧优化方案的仿真分析", 《系统仿真学报》 * |
| 王惠: "天然气再燃降低NOx排放的三维数值模拟", 《中国优秀硕士学位论文》 * |
| 白涛: "燃煤锅炉低NOx燃烧系统的数值模拟与试验研究", 《 中国博士学位论文全文数据库》 * |
| 蔡鑫: "水泥分解炉内流场和SNCR脱硝工艺的数值模拟", 《中国优秀硕士学位论文全文数据库》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115374636A (en) * | 2022-08-23 | 2022-11-22 | 南方电网电力科技股份有限公司 | Boiler numerical simulation and performance calculation coupled wall temperature prediction method |
| CN115374636B (en) * | 2022-08-23 | 2024-01-12 | 南方电网电力科技股份有限公司 | Wall temperature prediction method for coupling numerical simulation and performance calculation of boiler |
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