Method for analyzing influence of supercritical boiler flue gas treatment facility on sulfur trioxide emission

Abstract

The invention provides a method for analyzing the influence of a supercritical boiler flue gas treatment facility on sulfur trioxide emission, and belongs to the technical field of influence analys.The method comprises the steps that sampling probes are arranged at different target positions of a supercritical boiler flue, sampling frequencies are set according to boiler operation conditions and research requirements, and multi-point synchronous sampling is conducted on flue gas; determining the concentration of sulfur trioxide at each target position, and meanwhile, monitoring the temperature, pressure and flow velocity of the flue gas at the target position in the sampling process as supplementary results; determining the optimal operation parameters of the flue gas treatment facility by combining the current operation parameters of the supercritical boiler; collecting current operation parameters of the flue gas treatment facility, and determining an influence coefficient of the flue gas treatment facility on sulfur trioxide emission; and determining a control set according to the influence coefficient in combination with an operation attenuation factor of the flue gas treatment facility. The reasonable analysis on the influence and the dynamic optimization on the operation of the flue gas treatment facility are realized.

Description

Technical Field

[0001] The present invention relates to the technical field of impact analysis, and in particular to a method for analyzing the impact of a supercritical boiler flue gas treatment facility on sulfur trioxide emissions. Background Art

[0002] With increasingly stringent environmental protection requirements, supercritical boilers are widely used in power generation and other fields. However, the emission of sulfur trioxide in their flue gas has attracted considerable attention. Sulfur trioxide emissions not only harm the environment, such as forming acid rain and causing smog, but also cause adverse effects such as corrosion on equipment. To address supercritical boiler flue gas pollution, the industry has deployed a variety of flue gas treatment facilities, including desulfurization, denitrification, and dust removal. These facilities not only remove conventional pollutants but also have a synergistic effect on SO3 emissions. However, existing analysis methods have many limitations: in the flue gas sampling link, traditional sampling methods often have unreasonable sampling point distribution, which cannot fully reflect the flue gas characteristics in the flue, and the sampling frequency is fixed, which is difficult to adapt to the complex and changeable operating conditions of the boiler, resulting in the lack of representativeness of the obtained data such as sulfur trioxide concentration; in determining the operating parameters of the flue gas treatment facilities, they mostly rely on empirical settings or simple fixed parameter control, and cannot be dynamically optimized based on real-time flue gas parameters and boiler operating conditions, making it difficult to find the optimal operating parameters; for evaluating the impact coefficient of flue gas treatment facilities on sulfur trioxide emissions, existing methods lack systematicity and accuracy, and cannot comprehensively consider the interaction of multiple factors; in the actual control link, there is a lack of effective control strategies based on accurate analysis, which makes the operation efficiency of flue gas treatment facilities low and sulfur trioxide emissions difficult to be effectively controlled. Summary of the Invention

[0003] The present invention provides a method for analyzing the impact of supercritical boiler flue gas treatment facilities on sulfur trioxide emissions, which is used to solve the above-mentioned technical problems.

[0004] The present invention provides a method for analyzing the impact of supercritical boiler flue gas treatment facilities on sulfur trioxide emissions, comprising: Step 1: Sampling probes are set at different target locations in the supercritical boiler flue. The sampling frequency is set according to the boiler operating conditions and research requirements to perform multi-point synchronous sampling of the flue gas to determine the sulfur trioxide concentration at each target location. At the same time, the temperature, pressure, and flow rate of the flue gas at the target location are monitored during the sampling process as supplementary results. Step 2: Determine the optimal operating parameters of the flue gas treatment facility based on the concentration determination results and supplementary results of multi-point simultaneous sampling, combined with the current operating parameters of the supercritical boiler; Step 3: collecting the current operating parameters of the flue gas treatment facility and, in combination with the optimal operating parameters, determining the influence coefficient of the flue gas treatment facility on sulfur trioxide emissions; Step 4: According to the influence coefficients at multiple acquisition cycles and in combination with the operation attenuation factor of the flue gas treatment facility, a control set is determined and sent to the flue gas treatment equipment for flue gas treatment control.

[0005] Preferably, sampling probes are set at different target locations of the supercritical boiler flue, including: Obtain the temperature tolerance range and corrosion tolerance range of each target location, and at the same time, determine the flue shape, surface flatness and flue gas flow characteristics of each target location; Determining a first reference quantity according to the temperature tolerance range and the corrosion tolerance range;

[0006] Wherein, N1 represents the first reference number; 、 Respectively represent the maximum values of the temperature tolerance range and the corrosion tolerance range; 、 Respectively represent the minimum values of the temperature tolerance range and the corrosion tolerance range; 、 They represent the allowable temperature and allowable corrosiveness respectively; Indicates the floor symbol; determining a second reference quantity according to the flue shape, surface flatness, and flue gas flow characteristics;

[0007]

[0008] in, represents a second reference quantity; Represents a flue shape function And the smoothness function The number estimation function of ; Indicates the flue gas flow characteristics and overall flow characteristics Similarity function of Indicates surface flatness; Indicates preset flatness; Indicates the shape of the flue; Indicates the rounding symbol; Optimizing the first reference quantity and the second reference quantity according to the position weight of the target position to obtain a third reference quantity; The third reference number is used as the number of sampling probes installed at the corresponding target position.

[0009] Preferably, obtaining the third reference quantity includes:

[0010] in, The position weight representing the target position; Indicates the preset threshold value, the value is 0.3; Indicates a third reference quantity.

[0011] Preferably, setting the sampling frequency includes: determining a current operating mode of the supercritical boiler under boiler operating conditions; From the mode-requirement-frequency comparison table, an initial sampling frequency that matches the current operating mode and the research requirement is matched.

[0012] Preferably, determining the optimal operating parameters of the flue gas treatment facility includes: Constructing a sampling vector for each target location, wherein the sampling vector includes: sulfur trioxide concentration, temperature, pressure, and flow rate; Convert the current operating parameters of the supercritical boiler into an operating vector; The sampling vector and the operating vector are input into a vector analysis model to obtain the optimal operating parameters.

[0013] Preferably, determining the impact coefficient of the flue gas treatment facility on sulfur trioxide emissions includes: constructing a parameter difference vector according to the current operating parameters and the optimal operating parameters of the flue gas treatment facility, and performing normalization processing on the parameter difference vector to obtain a vector to be analyzed; determining a deviation correction probability of each element to be analyzed in the vector to be analyzed based on a mapping relationship between parameter differences and sulfur trioxide emission changes; Establishing a first curve for the vector to be analyzed and a second curve for all deviation correction probabilities, and determining a correlation between the first curve and the second curve; According to the correlation and in combination with all deviation correction probabilities, the influence coefficient Yx is obtained;

[0014]

[0015] in, represents the correlation coefficient; represents the analysis coefficient of the j1th analysis element; Respectively represent the values of the j1-1th, j1th, and j1+1th elements in the vector to be analyzed; represents the deviation correction probability of the j1-1th, j1th, and j1+1th elements in the vector to be analyzed; Indicates the total number of elements in the vector to be analyzed.

[0016] Preferably, determining the control set based on the influence coefficients at multiple acquisition periods and in combination with the operation attenuation factor of the flue gas treatment facility includes: The autoregressive moving average model is used to conduct trend analysis on the sequence of influence coefficients sorted according to the time sequence of the collection period; determining an operation attenuation factor according to a functional relationship between the operation attenuation factor and the operation time of the flue gas treatment facility; Correct each impact coefficient according to the operation attenuation factor and trend analysis results; Constructing a target optimization function and solving the function to obtain several control parameter combinations, and then finding a control parameter combination that minimizes the target optimization function from all control parameter combinations, which is regarded as an initial set; The initial set is adjusted according to the revised coefficients to obtain the control set.

[0017] Preferably, each influence coefficient is corrected according to the operation attenuation factor and trend analysis results, including:

[0018]

[0019] in, Represents the correction coefficient at the acquisition cycle time t; Represents the influence coefficient at the acquisition cycle time t; Indicates the operating attenuation factor at the acquisition cycle time t; represents the adjustment function; Indicates the predicted impact coefficient under the trend analysis results; Indicates all The standard deviation of Indicates all The mean of Indicates the total number of collection cycle moments.

[0020] Compared with the prior art, the present invention has the following advantages: By rationally placing sampling probes at different target locations and setting the sampling frequency for multi-point synchronous sampling, comprehensive flue gas data can be obtained. Combining the concentration determination results and supplementary results from multi-point synchronous sampling with the current operating parameters of the supercritical boiler, the optimal operating parameters of the flue gas treatment facility can be accurately determined. Based on the influence coefficients at multiple sampling cycles and combined with the operating attenuation factor, the influence coefficients are corrected and then the control set is obtained by constructing a target optimization function. Finally, the control set is distributed to the flue gas treatment equipment for regulation, achieving dynamic optimization of the flue gas treatment facility operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the technical solutions in the present invention or the prior art, a brief introduction is given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0022] Figure 1 This is a flow chart of a method for analyzing the impact of supercritical boiler flue gas treatment facilities on sulfur trioxide emissions provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0023] To make the objectives, technical solutions, and advantages of the present invention more clear, the technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the embodiments described are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts shall fall within the scope of protection of the present invention.

[0024] The present invention provides a method for analyzing the impact of supercritical boiler flue gas treatment facilities on sulfur trioxide emissions. Figure 1 Shown, including: Step 1: Sampling probes are set at different target locations in the supercritical boiler flue. The sampling frequency is set according to the boiler operating conditions and research requirements to perform multi-point synchronous sampling of the flue gas. The sulfur trioxide concentration at each target location is determined. At the same time, the temperature, pressure, and flow rate of the flue gas at the target location are monitored during the sampling process as supplementary results. Step 2: Determine the optimal operating parameters of the flue gas treatment facility based on the concentration determination results and supplementary results of multi-point simultaneous sampling, combined with the current operating parameters of the supercritical boiler; Step 3: collecting the current operating parameters of the flue gas treatment facility and, in combination with the optimal operating parameters, determining the influence coefficient of the flue gas treatment facility on sulfur trioxide emissions; Step 4: According to the influence coefficients at multiple acquisition cycles and in combination with the operation attenuation factor of the flue gas treatment facility, a control set is determined and sent to the flue gas treatment equipment for flue gas treatment control.

[0025] In this embodiment, in the supercritical boiler flue, the target position refers to the position where sulfur trioxide concentration measurement is required, such as the air preheater outlet, the desulfurization tower inlet and outlet, the denitrification device inlet and outlet, etc.

[0026] In this embodiment, the number of sampling probes provided at different target locations may be different.

[0027] In this embodiment, the operating parameters of the flue gas treatment facility are related to the pH value of the slurry in the desulfurization tower, the ammonia-nitrogen molar ratio of the denitrification device, the electric field strength of the electrostatic precipitator, and the like.

[0028] In this embodiment, the boiler operating conditions are low load condition, steady load condition and high load condition.

[0029] In this embodiment, if the research purpose is to analyze the generation pattern of sulfur trioxide under a specific load, intensive sampling is required under this load condition; if the impact of long-term operation on sulfur trioxide emissions is to be studied, sampling is required under different time periods and multiple conditions.

[0030] In this embodiment, multi-point synchronous sampling is performed at multiple locations of the supercritical boiler flue, such as the economizer outlet, air preheater outlet, and desulfurization tower inlet, and the sampling probes are started simultaneously to collect flue gas samples.

[0031] In this embodiment, the current operating parameters of the supercritical boiler include the current load of the boiler (such as 80% load), combustion temperature (900°C), excess air coefficient (1.2), coal quality parameters (sulfur content 1.5%, volatile matter 20%), etc.

[0032] In this embodiment, the influence coefficient is used to quantify the influence of various operating parameters of the flue gas treatment facility on sulfur trioxide emissions.

[0033] In this embodiment, the influence coefficients at multiple collection cycles are: within a period of time, the influence coefficient sequence calculated according to different collection cycles (such as collecting once every hour for 8 consecutive hours) is [0.25, 0.28, 0.26, 0.30, 0.27, 0.29, 0.28, 0.27], which reflects the change of the influence coefficient over time.

[0034] In this embodiment, the operation attenuation factor is an indicator for measuring the degree of decline in the operation performance of the flue gas treatment facility.

[0035] In this embodiment, the control set is a set of operating parameters of the flue gas treatment facility.

[0036] The beneficial effects of the above technical solution are: by rationally setting sampling probes at different target locations and setting the sampling frequency for multi-point synchronous sampling, comprehensive flue gas data can be obtained. By combining the concentration determination results and supplementary results of multi-point synchronous sampling with the current operating parameters of the supercritical boiler, the optimal operating parameters of the flue gas treatment facility can be accurately determined. Based on the influence coefficients at multiple sampling cycles and combined with the operating attenuation factor, the influence coefficients are corrected, and then the control set is obtained by constructing a target optimization function. Finally, the control set is distributed to the flue gas treatment equipment for regulation, achieving dynamic optimization of the flue gas treatment facility operation.

[0037] The present invention provides a method for analyzing the impact of supercritical boiler flue gas treatment facilities on sulfur trioxide emissions, which includes setting sampling probes at different target locations in the supercritical boiler flue, including: Obtain the temperature tolerance range and corrosion tolerance range of each target location, and at the same time, determine the flue shape, surface flatness and flue gas flow characteristics of each target location; Determining a first reference quantity according to the temperature tolerance range and the corrosion tolerance range;

[0038] Wherein, N1 represents the first reference number; 、 Respectively represent the maximum values of the temperature tolerance range and the corrosion tolerance range; 、 Respectively represent the minimum values of the temperature tolerance range and the corrosion tolerance range; 、 They represent the allowable temperature and allowable corrosiveness respectively; Indicates the floor symbol; determining a second reference quantity according to the flue shape, surface flatness, and flue gas flow characteristics;

[0039]

[0040] in, represents a second reference quantity; Represents a flue shape function And the smoothness function The number estimation function of ; Indicates the flue gas flow characteristics and overall flow characteristics Similarity function of Indicates surface flatness; Indicates preset flatness; Indicates the shape of the flue; Indicates the rounding symbol; Optimizing the first reference quantity and the second reference quantity according to the position weight of the target position to obtain a third reference quantity; The third reference number is used as the number of sampling probes installed at the corresponding target position.

[0041] Preferably, obtaining the third reference quantity includes:

[0042] in, The position weight representing the target position; Indicates the preset threshold, the value is 0.3; Indicates a third reference quantity.

[0043] In this embodiment, the temperature tolerance range is, for example, 300-500°C, the flue shape is, for example, circular or rectangular, the surface flatness is determined based on the roughness of the flue inner wall, and the flue gas flow characteristics are determined by measuring the flow rate and direction of the flue gas using an anemometer or other equipment.

[0044] In this embodiment, by calculating the proportional relationship between the temperature and the corrosion tolerance range and taking the maximum value for calculation, and combining the ratio of the difference between the two, the temperature and corrosion factors can be comprehensively weighed and rounded down. This meets the requirement that the number of equipment in actual projects must be an integer, and also avoids waste of resources caused by excessive configuration of probes to a certain extent.

[0045] In this embodiment, the similarity function is introduced to consider the comparison between the flue gas flow characteristics and the most complex characteristics, combined with the flue shape function And the smoothness function , quantify the physical characteristics of the flue, which in turn affects the determination of the number of sampling probes.

[0046] The beneficial effects of the above technical solution are: ensuring that the number and installation positions of sampling probes are scientific and reasonable, and the collected flue gas samples can truly reflect the flue gas conditions at various positions in the flue, providing a basis for the subsequent accurate determination of parameters such as sulfur trioxide concentration, and improving the data accuracy and reliability of the entire analysis method.

[0047] The present invention provides a method for analyzing the impact of supercritical boiler flue gas treatment facilities on sulfur trioxide emissions, setting a sampling frequency, and comprising: determining a current operating mode of the supercritical boiler under boiler operating conditions; From the mode-requirement-frequency comparison table, an initial sampling frequency that matches the current operating mode and the research requirement is matched.

[0048] In this embodiment, when the supercritical boiler is in a high-load stable operating condition, the sampling frequency is set to collect flue gas samples every 15 minutes; when the boiler load fluctuates and enters an unstable operating mode, the sampling frequency is automatically adjusted to once every 5 minutes.

[0049] The current operating mode can be determined by monitoring parameters such as boiler load and combustion temperature. If the load is stable at above 80% and the combustion temperature fluctuates slightly, it is a high-load stable operating mode.

[0050] The mode-requirement-frequency comparison table includes sampling frequencies under different modes and research requirements and is pre-set.

[0051] The beneficial effects of the above technical solution are: making the sampling frequency consistent with the actual operating conditions of the boiler and the research purpose, ensuring that the acquired data can effectively support the analysis of sulfur trioxide emissions, and improving the timeliness and pertinence of the analysis.

[0052] The present invention provides a method for analyzing the impact of a supercritical boiler flue gas treatment facility on sulfur trioxide emissions, and determining optimal operating parameters of the flue gas treatment facility, including: Constructing a sampling vector for each target location, wherein the sampling vector includes: sulfur trioxide concentration, temperature, pressure, and flow rate; Convert the current operating parameters of the supercritical boiler into an operating vector; The sampling vector and the operating vector are input into a vector analysis model to obtain the optimal operating parameters.

[0053] In this example, the collected data are a sulfur trioxide concentration of 50 mg / m³, a temperature of 200°C, a pressure of 10 kPa, and a flow rate of 15 m / s. These data are combined into a vector [50, 200, 10, 15], which is the sampling vector for this location.

[0054] In this embodiment, the current operating parameters of the supercritical boiler are that the boiler load is 75%, the combustion temperature is 900° C., and the excess air coefficient is 1.2. These parameters are combined into a vector [0.75, 900, 1.2], which is the operating vector.

[0055] In this embodiment, the vector analysis model is obtained based on the training of the neural network model, and the input is the sampling vector and the operation vector, and the output is the optimal operation parameters of the flue gas treatment facility.

[0056] The beneficial effects of the above technical solution are: the complex flue gas parameters are concisely presented in vector form, which is convenient for subsequent input into the vector analysis model for unified processing and analysis, and the model's powerful data analysis and learning capabilities are used to accurately determine the optimal operating parameters of the flue gas treatment facilities, thereby improving boiler operating efficiency and sulfur trioxide emission control effects.

[0057] The present invention provides a method for analyzing the impact of a supercritical boiler flue gas treatment facility on sulfur trioxide emissions, and determining the impact coefficient of the flue gas treatment facility on sulfur trioxide emissions, comprising: constructing a parameter difference vector according to the current operating parameters and the optimal operating parameters of the flue gas treatment facility, and performing normalization processing on the parameter difference vector to obtain a vector to be analyzed; determining a deviation correction probability of each element to be analyzed in the vector to be analyzed based on a mapping relationship between parameter differences and sulfur trioxide emission changes; Establishing a first curve for the vector to be analyzed and a second curve for all deviation correction probabilities, and determining a correlation between the first curve and the second curve; According to the correlation and in combination with all deviation correction probabilities, the influence coefficient Yx is obtained;

[0058]

[0059] in, represents the correlation coefficient; represents the analysis coefficient of the j1th analysis element; Respectively represent the values of the j1-1th, j1th, and j1+1th elements in the vector to be analyzed; represents the deviation correction probability of the j1-1th, j1th, and j1+1th elements in the vector to be analyzed; Indicates the total number of elements in the vector to be analyzed.

[0060] In this embodiment, when determining the influence coefficient, the correlation between the elements in the parameter difference vector is comprehensively considered (through the correlation coefficient Reflection) and the deviation correction probability of each element In the operation of flue gas treatment facilities, each operating parameter does not affect sulfur trioxide emissions independently, but rather they are interrelated and interact with each other. For example, changes in the pH value of the desulfurization tower slurry and the ammonia nitrogen molar ratio of the denitrification device may simultaneously affect the conversion and removal of sulfur trioxide in subsequent reactions. The formula taking this relationship into account can more comprehensively reflect the actual situation. By constructing such a formula, the relationship between parameter differences and sulfur trioxide emission changes is quantified, and a specific influence coefficient is obtained. This coefficient can intuitively measure the impact of flue gas treatment facility operating parameters on sulfur trioxide emissions.

[0061] It reflects the degree of linear correlation between the elements in the vector to be analyzed. In the flue gas treatment process, the correlation between different operating parameters will affect the emission of sulfur trioxide.

[0062] The calculation of takes into account the local characteristics of the elements in the parameter difference vector and the probability of their impact on sulfur trioxide emissions, which can more carefully characterize the contribution of each element to the overall impact.

[0063] Deviation Correction Probability It represents the possibility that the parameter difference of each element in the vector to be analyzed will lead to the change of sulfur trioxide emissions.

[0064] In this embodiment, it is known that the optimal operating parameter slurry pH value of the desulfurization tower in the flue gas treatment facility is 5.5, while the current actual operating parameter slurry pH value is 5.0. The optimal ammonia-nitrogen molar ratio of the denitrification device is 1.2, and the current actual value is 1.0. These parameter differences are combined into a vector [5.0-5.5,1.0-1.2]=[-0.5,-0.2], which is the parameter difference vector.

[0065] In this embodiment, the normalization process is to use a normalization method to divide each element in the vector by the maximum value of the vector elements so that the value range of the vector elements is between 0 and 1.

[0066] In this embodiment, in the parameter difference vector, the difference in pH value of the desulfurization tower slurry is -0.5. Through historical data analysis, it is found that when there is a similar difference in pH value, there is a 70% probability that the sulfur trioxide emission concentration will change significantly. This 70% is the deviation correction probability corresponding to the parameter difference.

[0067] In this embodiment, the mapping relationship library is established by collecting a large amount of historical operation data and analyzing the changes in sulfur trioxide emission concentration under different parameter differences.

[0068] The beneficial effects of the above technical solution are: the degree of deviation between the current operating parameters and the optimal operating parameters is intuitively presented through the parameter difference vector, and the standardized processing facilitates subsequent unified analysis and calculation, providing a quantitative basis for accurately determining the influence coefficient of the flue gas treatment facilities on sulfur trioxide emissions, and quantifying the possibility of the influence of parameter differences on sulfur trioxide emissions, providing an important weight basis for calculating the influence coefficient.

[0069] The present invention provides a method for analyzing the impact of a supercritical boiler flue gas treatment facility on sulfur trioxide emissions. The method determines a control set based on the influence coefficients at multiple acquisition periods and in combination with the operation attenuation factor of the flue gas treatment facility, including: The autoregressive moving average model is used to conduct trend analysis on the sequence of influence coefficients sorted according to the time sequence of the collection period; determining an operation attenuation factor according to a functional relationship between the operation attenuation factor and the operation time of the flue gas treatment facility; Correct each impact coefficient according to the operation attenuation factor and trend analysis results; Constructing a target optimization function and solving the function to obtain several control parameter combinations, and then finding a control parameter combination that minimizes the target optimization function from all control parameter combinations, which is regarded as an initial set; The initial set is adjusted according to the revised coefficients to obtain the control set.

[0070] Preferably, each influence coefficient is corrected according to the operation attenuation factor and trend analysis results, including:

[0071]

[0072] in, Represents the correction coefficient at the acquisition cycle time t; Represents the influence coefficient at the acquisition cycle time t; Indicates the operating attenuation factor at the acquisition cycle time t; represents the adjustment function; Indicates the predicted impact coefficient under the trend analysis results; Indicates all The standard deviation of Indicates all The mean of Indicates the total number of collection cycle moments.

[0073] In this embodiment, the influence coefficients at multiple acquisition cycles are arranged in chronological order, such as [0.8, 0.9, 0.85, 0.92, 0.88]. This sequence is analyzed using the ARIMA model to predict that the influence coefficient of the next acquisition cycle may be 0.91.

[0074] In this embodiment, the sulfur trioxide removal efficiency of a flue gas treatment facility is 90% at the beginning of operation. After 1000 hours of operation, the operation attenuation factor is calculated to be 0.8 based on the functional relationship between its operation attenuation factor and operation time. At this time, its removal efficiency drops to 90% × 0.8 = 72%.

[0075] In this embodiment, the objective function is to achieve the comprehensive goals of reducing sulfur trioxide emissions, improving operating efficiency, and reducing energy consumption.

[0076] In this embodiment, the functional relationship is AF(t)=0.9-0.0001t, where AF(t) represents the operation attenuation factor and t represents the operation time.

[0077] In this embodiment, the initial set is the control parameter combination that minimizes the objective function value among many possible control parameter combinations by solving the objective optimization function. It is the basis for subsequent further adjustment and optimization. The control set is a set of optimal control parameter combinations that are finally determined after adjustment and are used to guide the operation of the flue gas treatment facility.

[0078] In this embodiment, a correlation analysis is performed between the revised impact coefficient and the control parameters in the initial set. For example, the relationship between the revised impact coefficient and the desulfurization tower slurry pH parameter is analyzed to determine whether the pH parameter needs to be adjusted and the adjustment direction. Based on the correlation analysis results, the control parameters in the initial set are adjusted accordingly. If the revised impact coefficient indicates that the current slurry pH has a significant impact on sulfur trioxide emissions and the pH value needs to be lowered, the pH parameter in the initial set is adjusted downward.

[0079] The beneficial effects of the above technical solution are: by comprehensively considering multiple optimization objectives in a quantitative manner and determining the control parameter combination by solving the target optimization function, it is possible to improve the operating efficiency of the flue gas treatment facilities and reduce energy consumption while ensuring that sulfur trioxide emissions meet the standards, thereby achieving multi-objective optimization of supercritical boiler flue gas treatment.

[0080] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A method for analyzing the impact of supercritical boiler flue gas treatment facilities on sulfur trioxide emissions, characterized in that: include: Step 1: Sampling probes are set at different target locations in the supercritical boiler flue. The sampling frequency is set according to the boiler operating conditions and research requirements to perform multi-point synchronous sampling of the flue gas. The sulfur trioxide concentration at each target location is determined. At the same time, the temperature, pressure, and flow rate of the flue gas at the target location are monitored during the sampling process as supplementary results. Step 2: Determine the optimal operating parameters of the flue gas treatment facility based on the concentration determination results and supplementary results of multi-point simultaneous sampling, combined with the current operating parameters of the supercritical boiler; Step 3: collecting the current operating parameters of the flue gas treatment facility and, in combination with the optimal operating parameters, determining the influence coefficient of the flue gas treatment facility on sulfur trioxide emissions; Step 4: According to the influence coefficients at multiple acquisition cycles and in combination with the operation attenuation factor of the flue gas treatment facility, a control set is determined and sent to the flue gas treatment equipment for flue gas treatment control.

2. The method for analyzing the impact of supercritical boiler flue gas treatment facilities on sulfur trioxide emissions according to claim 1 is characterized in that: Sampling probes are set at different target locations in the supercritical boiler flue, including: Obtain the temperature tolerance range and corrosion tolerance range of each target location, and at the same time, determine the flue shape, surface flatness and flue gas flow characteristics of each target location; Determining a first reference quantity according to the temperature tolerance range and the corrosion tolerance range; Wherein, N1 represents the first reference number; 、 Respectively represent the maximum values of the temperature tolerance range and the corrosion tolerance range; 、 Respectively represent the minimum values of the temperature tolerance range and the corrosion tolerance range; 、 Respectively indicate the allowable temperature and allowable corrosiveness; Indicates the floor symbol; determining a second reference quantity according to the flue shape, surface flatness, and flue gas flow characteristics; in, represents a second reference quantity; Represents a flue shape function And the smoothness function The number estimation function of ; Indicates the flue gas flow characteristics and overall flow characteristics Similarity function of Indicates surface flatness; Indicates preset flatness; Indicates the shape of the flue; Indicates the rounding symbol; Optimizing the first reference quantity and the second reference quantity according to the position weight of the target position to obtain a third reference quantity; The third reference number is used as the number of sampling probes installed at the corresponding target position.

3. The method for analyzing the impact of supercritical boiler flue gas treatment facilities on sulfur trioxide emissions according to claim 2, characterized in that: Obtaining a third reference quantity, including: in, The position weight representing the target position; Indicates the preset threshold, the value is 0.3; Indicates a third reference quantity.

4. The method for analyzing the impact of supercritical boiler flue gas treatment facilities on sulfur trioxide emissions according to claim 1, characterized in that: Set the sampling frequency, including: determining a current operating mode of the supercritical boiler under boiler operating conditions; From the mode-requirement-frequency comparison table, an initial sampling frequency that matches the current operating mode and the research requirement is matched.

5. The method for analyzing the impact of supercritical boiler flue gas treatment facilities on sulfur trioxide emissions according to claim 1, characterized in that: Determine the optimal operating parameters of the flue gas treatment facility, including: Constructing a sampling vector for each target location, wherein the sampling vector includes: sulfur trioxide concentration, temperature, pressure, and flow rate; Convert the current operating parameters of the supercritical boiler into an operating vector; The sampling vector and the operating vector are input into a vector analysis model to obtain the optimal operating parameters.

6. The method for analyzing the impact of supercritical boiler flue gas treatment facilities on sulfur trioxide emissions according to claim 1, characterized in that: Determine the impact coefficient of flue gas treatment facilities on sulfur trioxide emissions, including: constructing a parameter difference vector according to the current operating parameters and the optimal operating parameters of the flue gas treatment facility, and performing normalization processing on the parameter difference vector to obtain a vector to be analyzed; determining a deviation correction probability of each element to be analyzed in the vector to be analyzed based on a mapping relationship between parameter differences and sulfur trioxide emission changes; Establishing a first curve for the vector to be analyzed and a second curve for all deviation correction probabilities, and determining a correlation between the first curve and the second curve; According to the correlation and in combination with all deviation correction probabilities, the influence coefficient Yx is obtained; in, represents the correlation coefficient; represents the analysis coefficient of the j1th analysis element; Respectively represent the values of the j1-1th, j1th, and j1+1th elements in the vector to be analyzed; represents the deviation correction probability of the j1-1th, j1th, and j1+1th elements in the vector to be analyzed; Indicates the total number of elements in the vector to be analyzed.

7. The method for analyzing the impact of supercritical boiler flue gas treatment facilities on sulfur trioxide emissions according to claim 1, characterized in that: According to the influence coefficients at multiple acquisition periods and in combination with the operation attenuation factor of the flue gas treatment facility, the control set is determined to include: The autoregressive moving average model is used to conduct trend analysis on the sequence of influence coefficients sorted according to the time sequence of the collection period; determining an operation attenuation factor according to a functional relationship between the operation attenuation factor and the operation time of the flue gas treatment facility; Correct each impact coefficient according to the operation attenuation factor and trend analysis results; Constructing a target optimization function and solving the function to obtain several control parameter combinations, and then finding a control parameter combination that minimizes the target optimization function from all control parameter combinations, which is regarded as an initial set; The initial set is adjusted according to the revised coefficients to obtain the control set.

8. The method for analyzing the impact of supercritical boiler flue gas treatment facilities on sulfur trioxide emissions according to claim 7, characterized in that: According to the operation attenuation factor and trend analysis results, each impact coefficient is corrected, including: in, Represents the correction coefficient at the acquisition cycle time t; Represents the influence coefficient at the acquisition cycle time t; Indicates the operating attenuation factor at the acquisition cycle time t; represents the adjustment function; Indicates the predicted impact coefficient under the trend analysis results; Indicates all The standard deviation of Indicates all The mean of Indicates the total number of collection cycle moments.

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