An online treatment method for flue gas denitrification

Abstract

The present invention provides an online treatment method for flue gas denitrification, which belongs to the field of environmental engineering technology. The method comprises the following steps: obtaining a pipeline structure of a flue gas denitrification system, determining key positions, installing online monitoring equipment at the key positions, and collecting flue gas parameters in real time; performing data analysis on the flue gas parameters, establishing an operation model, and determining the system performance of the flue gas denitrification system according to the operation model; evaluating the bottleneck situation of the flue gas denitrification system according to the system performance, and formulating an optimization plan based on the bottleneck situation; adjusting the operating parameters of the system according to the optimization plan, and generating a corresponding adjustment report, and formulating a maintenance plan based on the adjustment report, thereby improving denitrification efficiency, reducing operation costs, enhancing system stability, and meeting increasingly stringent environmental protection requirements.

Description

Technical Field

[0001] The invention relates to the technical field of environmental engineering, and in particular to an online treatment method for flue gas denitrification. Background Art

[0002] With the increasing environmental protection requirements, traditional flue gas denitrification technology faces the need to improve efficiency, reduce energy consumption and improve operational stability. However, traditional online monitoring technology is only used for data collection, lacks in-depth analysis and application of data, and only adjusts single problems, lacks optimization of the overall system performance.

[0003] Therefore, the present invention provides an online treatment method for flue gas denitrification. Summary of the invention

[0004] The present invention provides an online treatment method for flue gas denitrification, which collects flue gas parameters in real time through online monitoring equipment, establishes an operation model in combination with data analysis, evaluates system performance and identifies bottlenecks, formulates optimization plans to adjust operating parameters, generates adjustment reports and formulates maintenance plans, thereby realizing accurate monitoring, optimized operation and intelligent maintenance of the flue gas denitrification system, improving denitrification efficiency, reducing operating costs, enhancing system stability, and meeting increasingly stringent environmental protection requirements.

[0005] The present invention provides an online treatment method for flue gas denitrification, comprising: Step 1: Obtain the pipeline structure of the flue gas denitrification system, determine the key positions, install online monitoring equipment at the key positions, and collect flue gas parameters in real time; Step 2: Perform data analysis on the flue gas parameters, establish an operation model, and determine the system performance of the flue gas denitrification system according to the operation model; Step 3: Evaluate the bottleneck situation of the flue gas denitrification system according to the system performance, and formulate an optimization plan based on the bottleneck situation; Step 4: According to the optimization scheme, adjust the operating parameters of the system, generate a corresponding adjustment report, and formulate a maintenance plan based on the adjustment report.

[0006] The present invention provides an online treatment method for flue gas denitrification, which obtains the pipeline structure of the flue gas denitrification system, determines the key position, installs an online monitoring device at the key position, and collects flue gas parameters in real time, including: Determine the position where the smoke parameter changes according to the pipeline structure and the smoke flow characteristics, and classify the position where the smoke parameter changes according to the parameter changes to obtain a first key position, a second key position, and a third key position; The online monitoring devices are matched to the first key position, the second key position and the third key position respectively, the installation method of the online monitoring devices is determined in combination with the flue gas flow characteristics, and the online monitoring devices are installed.

[0007] The present invention provides an online treatment method for flue gas denitrification, which determines the flue gas parameter change position according to the pipeline structure and the flue gas flow characteristics, and classifies the flue gas parameter change position according to the parameter change situation to obtain a first key position, a second key position and a third key position, including: Flue gas parameters include temperature, NOx concentration and pressure; ,in, represents the temperature distribution function; represents the NOx concentration distribution function; represents the heat source term; represents the pressure distribution function; represents the thermal diffusivity related to the thermal conductivity of flue gas; represents the flue gas velocity; D represents the diffusion coefficient; Indicates smoke density; represents the kinematic viscosity of the smoke; k represents the chemical reaction rate constant; x represents the spatial position of the smoke flow direction; ,in, Represents the spatiotemporal distribution function of smoke parameters; Represents the weight coefficient of the temperature distribution function; Represents the weight coefficient of NOx concentration distribution function; Represents the weight coefficient of the pressure distribution function; ,in, , , Indicates the monitoring feasibility values ​​of different intervals; , Indicates the segmentation point; L indicates the total length of the system; represents the monitoring feasibility function of the monitoring device at position c; ,in, represents the comprehensive scoring function; , , , , represents the weight coefficient of each item, and the sum is 1; a, b represent the spatial range of x; A function representing the degree of influence of smoke parameters; According to the comprehensive scoring function, the smoke parameter change positions are divided into the first, second and third key positions.

[0008] The present invention provides an online treatment method for flue gas denitrification, which performs data analysis on the flue gas parameters, establishes an operation model, and determines the system performance of the flue gas denitrification system according to the operation model, including: Using online monitoring equipment to collect smoke parameter data in real time, calculating statistical characteristics of the smoke parameters, and determining parameter correlations between the smoke parameters based on the statistical characteristics; determining a first influence between flue gas parameters according to the parameter correlation; Combining the statistical characteristics, parameter correlation and first impact of multiple flue gas parameters, the second impact of the system is obtained, and then the operation model is constructed; According to the operation model, the system performance indicators are defined, and the operation model is used to calculate the performance indicators of the system under different working conditions, thereby obtaining the system performance of the flue gas denitrification system.

[0009] The present invention provides an online treatment method for flue gas denitrification, which evaluates the bottleneck situation of the flue gas denitrification system according to the system performance and formulates an optimization plan based on the bottleneck situation, including: Obtaining the optimal operating conditions of the same type of flue gas denitrification system, and deriving the system limit performance based on the optimal operating conditions; Performing a first comparison of the system performance with a system standard performance, and performing a second comparison of the system performance with a system limit performance; Based on the first comparison result and the second comparison result, the bottleneck situation of the flue gas denitrification system is determined, and an optimization plan is formulated.

[0010] The present invention provides an online treatment method for flue gas denitrification, which determines the bottleneck of the flue gas denitrification system based on a first comparison result and a second comparison result, and formulates an optimization plan, including: Analyze the cause of the first gap based on the first comparison result, analyze the cause of the second gap based on the second comparison result, determine the basic bottleneck by combining the first gap result and the second gap result, and determine the initial bottleneck position by combining the basic bottleneck and the parameter correlation; Use historical data and online monitoring data to verify the first rationality of the initial bottleneck position, and use the running model to simulate the impact of the initial bottleneck position to verify the second rationality; Based on the first rationality and the second rationality, the actual bottleneck position is determined, and the bottleneck situation of the flue gas denitrification system is determined by combining the actual bottleneck position with the basic bottleneck, and an optimization plan is formulated.

[0011] The present invention provides an online treatment method for flue gas denitrification, which adjusts the operating parameters of the system according to the optimization scheme, generates a corresponding adjustment report, and formulates a maintenance plan based on the adjustment report, including: According to the optimization plan, the operating parameters that need to be adjusted and the corresponding target values ​​are clearly identified, and an adjustment plan is derived; According to the adjustment plan, adjust the operating parameters for the first time, use online monitoring equipment to collect the adjusted parameter data in real time, and monitor the adjustment effect; Compare the performance indicators corresponding to the adjustment effect with the optimization target set by the optimization plan, evaluate the adjustment effect, analyze the gap between the performance indicators corresponding to the adjustment effect and the optimization target, identify the reasons for not meeting the target, and adjust the operating parameters again; Generate a corresponding adjustment report according to the adjustment plan, analyze the system operation status and potential problems based on the adjustment report, determine maintenance goals, and formulate a maintenance plan.

[0012] The present invention provides an online treatment method for flue gas denitrification, generating a corresponding adjustment report according to an adjustment plan, analyzing the system operation status and potential problems based on the adjustment report, determining maintenance goals, and formulating a maintenance plan, including: Evaluate the operational impact of potential problems on the system operating status, clarify the maintenance direction based on the operational impact, set maintenance goals and quantitative indicators corresponding to the maintenance goals, formulate specific maintenance measures based on the maintenance goals, and form a maintenance plan.

[0013] Compared with the prior art, the beneficial effects of the present application are as follows: real-time collection of flue gas parameters through online monitoring equipment, establishment of an operation model in combination with data analysis, evaluation of system performance and identification of bottlenecks, formulation of optimization plans to adjust operating parameters, generation of adjustment reports and formulation of maintenance plans, and realization of accurate monitoring, optimized operation and intelligent maintenance of the flue gas denitrification system, thereby improving denitrification efficiency, reducing operating costs, enhancing system stability, and meeting increasingly stringent environmental protection requirements.

[0014] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description and the accompanying drawings.

[0015] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings: Figure 1 It is a flow chart of an online treatment method for flue gas denitrification provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0017] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0018] Embodiment 1: The embodiment of the present invention provides an online treatment method for flue gas denitrification, such as Figure 1 As shown, including: Step 1: Obtain the pipeline structure of the flue gas denitrification system, determine the key positions, install online monitoring equipment at the key positions, and collect flue gas parameters in real time; Step 2: Perform data analysis on the flue gas parameters, establish an operation model, and determine the system performance of the flue gas denitrification system according to the operation model; Step 3: Evaluate the bottleneck situation of the flue gas denitrification system according to the system performance, and formulate an optimization plan based on the bottleneck situation; Step 4: According to the optimization scheme, adjust the operating parameters of the system, generate a corresponding adjustment report, and formulate a maintenance plan based on the adjustment report.

[0019] In this embodiment, the pipeline structure refers to the physical structure of the flue or pipe, including the shape, size, material, connection method and internal components (such as elbows, valves, baffles, etc.), for example, a flue with a circular or rectangular cross-section, a circular pipe with a diameter of 2 meters, made of high-temperature resistant stainless steel, and a 90-degree elbow or T-type connector in the pipe.

[0020] In this embodiment, the key positions are classified according to the importance and impact of the changes in the flue gas parameters, and the priorities are the first, second, and third key positions from high to low. For example, the first key position is the flue gas inlet, where the temperature, pressure, and flow rate change the most, directly affecting the operation of the system. The second key position is the elbow, where the change in the flue gas flow direction causes turbulence and pressure loss. The third key position is the pipe outlet, where the flue gas parameters tend to be stable and change less.

[0021] In this embodiment, the input of the operating model includes: flue gas parameter data (temperature, NOx concentration, pressure, etc.), statistical characteristics (mean, variance, trend, etc.), parameter correlation and first impact; output includes: system performance indicators (such as denitrification efficiency, energy consumption, emission concentration, etc.), and system performance evaluation results.

[0022] In this embodiment, the system performance index is a key quantitative index used to measure the operating effect of the flue gas denitrification system, which generally includes denitrification efficiency, energy consumption, emission concentration, operating stability, etc. For example, denitrification efficiency: 95%, energy consumption: 500 kWh, NOx emission concentration: 50 mg / m³, operating stability: standard deviation is less than 5%.

[0023] In this embodiment, the flue gas parameters refer to flue gas related parameters collected in real time by online monitoring equipment, including temperature, NOx concentration, pressure, flow rate, component concentration (such as SO2, CO2), etc. For example, temperature: 300°C, 250°C, NOx concentration: 200mg / m³, 150 mg / m³, pressure: 1000 Pa, 800 Pa, flow rate: 10 m / s, 15 m / s.

[0024] In this embodiment, system performance refers to the comprehensive capabilities of the flue gas denitrification system in actual operation, including denitrification effect, energy consumption level, emission control, operational stability, etc. For example, system A: high denitrification efficiency (98%), but high energy consumption (600 kWh), system B: medium denitrification efficiency (92%), but low energy consumption (400 kWh).

[0025] In this embodiment, the bottleneck situation refers to a comprehensive description of the system performance limitations derived from the comprehensive basic bottleneck and actual bottleneck location, for example, insufficient catalyst performance leads to low denitrification efficiency, low fan efficiency leads to high energy consumption, and insufficient control system optimization leads to unstable operation.

[0026] In this embodiment, the optimization plan refers to improvement measures formulated for bottleneck situations, which aim to improve system performance so that it approaches or reaches standard performance and limit performance, such as replacing high-efficiency catalysts, improving denitrification efficiency, upgrading fan equipment, reducing energy consumption, optimizing control system algorithms, and improving operational stability.

[0027] In this embodiment, the operating parameters refer to the key adjustable variables that affect the operation of the flue gas denitrification system, which generally include temperature, pressure, flow rate, catalyst dosage, reactor inlet concentration, etc. For example, temperature: 300°C, pressure: 1000 Pa, flow rate: 10 m / s, catalyst dosage: 500 kg, reactor inlet NOx concentration: 200 mg / m³.

[0028] In this embodiment, the adjustment report is a summary document of the execution of the adjustment plan and the adjustment effect, including parameter data before and after the adjustment, performance indicators, indicator gaps and analysis of reasons for non-compliance. For example, the temperature before adjustment is 300°C, the temperature after adjustment is 285°C, the denitrification efficiency is increased to 94%, the reason for non-compliance is insufficient catalyst dosage, the energy consumption is reduced to 480 kWh, and the reason for non-compliance is that the fan efficiency still needs to be optimized.

[0029] In this embodiment, the maintenance plan refers to the specific action steps and time schedule formulated to achieve the maintenance goals, for example, the first step: replace the high-efficiency catalyst and increase the dosage to 550 kg, the second step: upgrade the fan equipment and optimize the design to improve efficiency, and the third step: regularly calibrate the online monitoring equipment to ensure data accuracy.

[0030] In this embodiment, the operating parameters and target values ​​for adjustment are clearly defined through the optimization plan, an adjustment plan is formulated, the effect is monitored in real time after the first adjustment, the gap is evaluated and adjusted again, and an adjustment report is generated.

[0031] In this embodiment, by evaluating the impact of potential problems on the system operation status, identifying key risk points, clarifying the maintenance direction, setting quantitative indicators to measure maintenance goals, formulating specific maintenance measures, and forming a systematic maintenance plan.

[0032] In this embodiment, by analyzing the pipeline structure and smoke flow characteristics, the key locations where the smoke parameters change are determined and classified, online monitoring equipment is matched to different key locations, and the installation method is determined and completed based on the flow characteristics.

[0033] The working principle and beneficial effects of the above technical solution are: real-time collection of flue gas parameters through online monitoring equipment, establishment of an operation model in combination with data analysis, evaluation of system performance and identification of bottlenecks, formulation of optimization plans to adjust operating parameters, generation of adjustment reports and formulation of maintenance plans, and realization of accurate monitoring, optimized operation and intelligent maintenance of the flue gas denitrification system, thereby improving denitrification efficiency, reducing operating costs, enhancing system stability, and meeting increasingly stringent environmental protection requirements.

[0034] Embodiment 2: The embodiment of the present invention provides an online treatment method for flue gas denitrification, which obtains the pipeline structure of the flue gas denitrification system, determines the key position, installs an online monitoring device at the key position, and collects flue gas parameters in real time, including: Determine the position where the smoke parameter changes according to the pipeline structure and the smoke flow characteristics, and classify the position where the smoke parameter changes according to the parameter changes to obtain a first key position, a second key position, and a third key position; The online monitoring devices are matched to the first key position, the second key position and the third key position respectively, the installation method of the online monitoring devices is determined in combination with the flue gas flow characteristics, and the online monitoring devices are installed.

[0035] In this embodiment, the flue gas flow characteristics refer to the flow state of the flue gas in the pipeline, including flow velocity, flow rate, pressure, temperature distribution, turbulent or laminar flow state, etc. For example, the flue gas flow velocity is 10 m / s, the flow rate is 5000 m³ / h, the flue gas generates turbulence at the elbow, resulting in pressure loss, and the flue gas temperature is 300°C at the pipeline inlet and 250°C at the outlet.

[0036] In this embodiment, the position where the flue gas parameters change refers to the position where the parameters (such as temperature, pressure, flow rate, component concentration, etc.) of the flue gas change significantly when the flue gas flows in the pipe, for example, at the elbow: the flue gas flow rate and pressure change, at the pipe contraction or expansion point: the flow rate and pressure change significantly, before and after the filter or dust collector: the flue gas composition and particulate matter concentration change.

[0037] In this embodiment, the parameter change refers to the degree of change and trend of the flue gas parameters (such as temperature, pressure, flow rate, composition, etc.) at a specific location, for example, temperature changes from 300°C to 250°C, pressure changes from 1000 Pa to 800 Pa, and flow rate changes from 10 m / s to 15 m / s.

[0038] In this embodiment, the online monitoring equipment refers to an instrument or system for real-time monitoring of flue gas parameters, such as a temperature sensor, a pressure sensor, a flow meter, a gas analyzer, etc. For example, a temperature sensor: monitors flue gas temperature, a pressure sensor: monitors flue gas pressure, and a gas analyzer: monitors SO2, NO x , CO2 and other component concentrations.

[0039] In this embodiment, the installation method refers to the specific installation position, angle, fixing method and connection method of the online monitoring equipment on the pipeline, for example, the temperature sensor: installed on the pipeline wall, perpendicular to the flue gas flow direction, the pressure sensor: installed on the top of the pipeline to avoid the influence of dust accumulation, the gas analyzer: extracts flue gas from the pipeline through the sampling tube for analysis.

[0040] The working principle and beneficial effects of the above technical solution are: by analyzing the pipeline structure and flue gas flow characteristics, the key positions where flue gas parameter changes are determined and classified, online monitoring equipment is matched for different key positions, and the installation method is determined and completed in combination with the flow characteristics, so as to achieve accurate monitoring and data collection of flue gas parameters, improve the representativeness and accuracy of monitoring data, provide a reliable basis for system optimization and fault diagnosis, and reduce equipment redundancy.

[0041] Embodiment 3: The embodiment of the present invention provides an online treatment method for flue gas denitrification, which determines the flue gas parameter change position according to the pipeline structure and the flue gas flow characteristics, and classifies the flue gas parameter change position according to the parameter change situation to obtain a first key position, a second key position and a third key position, including: Flue gas parameters include temperature, NOx concentration and pressure; ,in, represents the temperature distribution function; represents the NOx concentration distribution function; represents the heat source term; represents the pressure distribution function; represents the thermal diffusivity related to the thermal conductivity of flue gas; represents the flue gas velocity; D represents the diffusion coefficient; Indicates smoke density; represents the kinematic viscosity of the smoke; k represents the chemical reaction rate constant; x represents the spatial position of the smoke flow direction; ,in, Represents the spatiotemporal distribution function of smoke parameters; Represents the weight coefficient of the temperature distribution function; Represents the weight coefficient of NOx concentration distribution function; Represents the weight coefficient of the pressure distribution function; ,in, , , Indicates the monitoring feasibility values ​​of different intervals; , Indicates the segmentation point; L indicates the total length of the system; represents the monitoring feasibility function of the monitoring device at position c; ,in, represents the comprehensive scoring function; , , , , represents the weight coefficient of each item, and the sum is 1; a, b represent the spatial range of x; A function representing the degree of influence of smoke parameters; According to the comprehensive scoring function, the smoke parameter change positions are divided into the first, second and third key positions.

[0042] In this embodiment, the monitoring feasibility value refers to the feasibility assessment result of installing online monitoring equipment at different locations. It is usually based on a comprehensive consideration of technical, economic, operational and other factors. It is a quantitative indicator used to measure the difficulty and actual value of installing monitoring equipment at a certain location. For example, technical feasibility: the space at a certain location is small and large-scale monitoring equipment cannot be installed, so the technical feasibility value is low. Operational feasibility: a certain location is easy to maintain and calibrate, so the operational feasibility value is high.

[0043] In this embodiment, the total length L of the system is divided into several intervals, and the comprehensive score value of each interval is calculated. According to the size of the comprehensive score, each position is ranked: the first key position: the position with the highest comprehensive score, the most significant change in flue gas parameters, and the greatest monitoring value; the second key position: the position with the second highest comprehensive score, the most significant change in flue gas parameters, and the higher monitoring value; the third key position: the position with a lower comprehensive score, the flue gas parameter change is smaller, and the monitoring value is lower. According to the ranking results of the comprehensive score, the first, second and third key positions are identified: the first key position: for example, at the flue gas inlet, the temperature, NOx concentration and pressure change the most; the second key position: for example, at the elbow, the change in flue gas flow direction causes the parameters to change; the third key position: for example, at the pipe outlet, the flue gas parameters tend to be stable.

[0044] The working principle and beneficial effects of the above technical solution are: by defining the spatiotemporal distribution function and comprehensive scoring function of the flue gas parameters, combining the weight coefficient and the monitoring feasibility function, the flue gas parameter change positions are graded, and the first, second and third key positions are determined, providing a scientific basis for system optimization, providing reliable support for system performance evaluation and optimization, and improving the operating efficiency of the flue gas denitrification system.

[0045] Embodiment 4: The embodiment of the present invention provides an online treatment method for flue gas denitrification, which performs data analysis on the flue gas parameters, establishes an operation model, and determines the system performance of the flue gas denitrification system according to the operation model, including: Using online monitoring equipment to collect smoke parameter data in real time, calculating statistical characteristics of the smoke parameters, and determining parameter correlations between the smoke parameters based on the statistical characteristics; determining a first influence between flue gas parameters according to the parameter correlation; Combining the statistical characteristics, parameter correlation and first impact of multiple flue gas parameters, the second impact of the system is obtained, and then the operation model is constructed; According to the operation model, the system performance indicators are defined, and the operation model is used to calculate the performance indicators of the system under different working conditions, thereby obtaining the system performance of the flue gas denitrification system.

[0046] In this embodiment, statistical features refer to characteristic values ​​obtained after statistical analysis of flue gas parameter data, including mean, variance, maximum value, minimum value, change trend, distribution law, etc. For example, temperature mean: 275°C, NOx concentration variance: 500 (mg / m³)², pressure maximum: 1200 Pa, flow rate change trend: gradually increasing.

[0047] In this embodiment, parameter correlation refers to the statistical relationship between different flue gas parameters, which is usually measured by a correlation coefficient (such as the Pearson correlation coefficient) and is used to describe the linear or nonlinear relationship between the parameters. For example, the correlation coefficient between temperature and NOx concentration is 0.8, which is a positive correlation, and the correlation coefficient between pressure and flow rate is -0.6, which is a negative correlation.

[0048] In this embodiment, the first impact refers to the direct impact of one flue gas parameter on another flue gas parameter determined based on parameter correlation analysis, for example, an increase in temperature leads to an increase in NOx concentration (the first impact of temperature on NOx concentration), and a decrease in pressure leads to an increase in flow rate (the first impact of pressure on flow rate).

[0049] In this embodiment, the second impact refers to the changing trend of the overall behavior or performance of the system obtained by integrating the statistical characteristics of multiple flue gas parameters, parameter correlations and the first impact. For example, the increase in temperature and the increase in NOx concentration jointly lead to a decrease in denitrification efficiency (the second impact), and the decrease in pressure and the increase in flow rate jointly lead to an increase in system energy consumption (the second impact).

[0050] The working principle and beneficial effects of the above technical solution are: collect flue gas parameter data in real time through online monitoring equipment, calculate statistical characteristics and analyze parameter correlation, determine the first influence between parameters, comprehensively derive the second influence of the system, build an operation model, define performance indicators and calculate the system performance under different working conditions, identify key influencing factors, optimize operating parameters, improve denitrification efficiency, reduce energy consumption, and enhance system stability and reliability.

[0051] Embodiment 5: The embodiment of the present invention provides an online treatment method for flue gas denitrification, which evaluates the bottleneck situation of the flue gas denitrification system according to the system performance and formulates an optimization plan based on the bottleneck situation, including: Obtaining the optimal operating conditions of the same type of flue gas denitrification system, and deriving the system limit performance based on the optimal operating conditions; Performing a first comparison of the system performance with a system standard performance, and performing a second comparison of the system performance with a system limit performance; Based on the first comparison result and the second comparison result, the bottleneck situation of the flue gas denitrification system is determined, and an optimization plan is formulated.

[0052] In this embodiment, the optimal operating condition refers to the best state of the same type of flue gas denitrification system in actual operation, which is usually based on historical data, industry standards or advanced cases. For example, under the optimal operating conditions, the flue gas denitrification system of an advanced power plant has a denitrification efficiency of 98%, an energy consumption of 400 kWh, and a NOx emission concentration of 30 mg / m³.

[0053] In this embodiment, the system limit performance refers to the highest performance level that the flue gas denitrification system can achieve in theory or practice, which is usually based on the optimal operating conditions and technical potential. For example, the theoretical limit performance of a system is a denitrification efficiency of 99%, an energy consumption of 350 kWh, and a NOx emission concentration of 20 mg / m³.

[0054] In this embodiment, the first comparison refers to comparing the performance of the current system with the standard performance of the system to evaluate whether the current system meets the industry or design standards. For example, the current system denitrification efficiency is 92%, and the standard performance is 95%, which is not up to standard; the current system energy consumption is 500 kWh, and the standard performance is 450 kWh, which is not up to standard.

[0055] In this embodiment, the second comparison refers to comparing the performance of the current system with the system limit performance to evaluate the gap between the current system and the highest theoretical or practical level. For example, the current system denitrification efficiency is 92%, and the limit performance is 99%, which is a large gap. The current system energy consumption is 500 kWh, and the limit performance is 350 kWh, which is a large gap.

[0056] The working principle and beneficial effects of the above technical solution are: by obtaining the optimal operating conditions of the same type of system, determining the system limit performance, comparing the current performance with the standard performance and the limit performance, identifying bottlenecks and formulating optimization plans, to achieve scientific evaluation and precise optimization of system performance.

[0057] Embodiment 6: The embodiment of the present invention provides an online treatment method for flue gas denitrification, which determines the bottleneck of the flue gas denitrification system based on the first comparison result and the second comparison result, and formulates an optimization plan, including: Analyze the cause of the first gap based on the first comparison result, analyze the cause of the second gap based on the second comparison result, determine the basic bottleneck by combining the first gap result and the second gap result, and determine the initial bottleneck position by combining the basic bottleneck and the parameter correlation; Use historical data and online monitoring data to verify the first rationality of the initial bottleneck position, and use the running model to simulate the impact of the initial bottleneck position to verify the second rationality; Based on the first rationality and the second rationality, the actual bottleneck position is determined, and the bottleneck situation of the flue gas denitrification system is determined by combining the actual bottleneck position with the basic bottleneck, and an optimization plan is formulated.

[0058] In this embodiment, the comparison result refers to the comparison result between the current system performance and the system standard performance, which is used to evaluate whether the current system meets the industry or design standards. For example, the current denitrification efficiency is 92%, and the standard performance is 95%, which is not up to the standard; the current energy consumption is 500 kWh, and the standard performance is 450 kWh, which is not up to the standard.

[0059] In this embodiment, the first gap reason refers to the specific reason for the gap between the current system performance and the standard performance, which is usually obtained by analyzing the operating data, equipment status and operating parameters. For example, catalyst aging leads to a decrease in denitrification efficiency, low fan efficiency leads to increased energy consumption, and unreasonable control system parameter settings lead to unstable operation.

[0060] In this embodiment, the second comparison result refers to the comparison result between the current system performance and the system limit performance, which is used to evaluate the gap between the current system and the highest theoretical or practical level. For example, the current denitrification efficiency is 92%, and the limit performance is 99%, which is a large gap; the current energy consumption is 500 kWh, and the limit performance is 350 kWh, which is a large gap.

[0061] In this embodiment, the second gap reason refers to the specific reason that leads to the gap between the current system performance and the limit performance, which is usually based on the analysis of technical potential and optimal operating conditions. For example, the catalyst activity has not reached the theoretical maximum value, the fan design has not been optimized to the highest efficiency, and the control system algorithm has not fully utilized data-driven optimization.

[0062] In this embodiment, the basic bottleneck refers to the fundamental problem that limits the improvement of system performance by combining the first gap cause and the second gap cause, such as insufficient catalyst performance, low fan efficiency, and insufficient control system optimization.

[0063] In this embodiment, the initial bottleneck position refers to the specific position or link of the system performance limitation preliminarily determined based on the basic bottleneck and parameter correlation analysis, such as the catalyst reactor (insufficient catalyst performance), fan equipment (low fan efficiency), and control system (insufficient algorithm optimization).

[0064] In this embodiment, the first rationality refers to using historical data and online monitoring data to verify the rationality of the initial bottleneck position and confirm whether it is consistent with the actual operating data. For example, historical data shows that the denitrification efficiency of the catalyst reactor decreases year by year, verifying the rationality of the insufficient catalyst performance; online monitoring data shows that the fan energy consumption is higher than the design value, verifying the rationality of the low fan efficiency.

[0065] In this embodiment, the second rationality refers to using the operation model to simulate the impact of the initial bottleneck position to verify whether it is consistent with the trend of system performance changes. For example, the operation model simulation shows that the denitrification efficiency is significantly improved after replacing the high-efficiency catalyst, verifying the rationality of the insufficient catalyst performance. The operation model simulation shows that the energy consumption is significantly reduced after optimizing the fan design, verifying the rationality of the low fan efficiency.

[0066] In this embodiment, the actual bottleneck position refers to the specific position or link of the system performance limitation determined after the first rationality and the second rationality verification, such as the catalyst reactor (verified), the fan equipment (verified), and the control system (verified).

[0067] In this embodiment, the optimization plan refers to improvement measures formulated for bottleneck situations, aiming to improve system performance, such as replacing high-efficiency catalysts and upgrading fan equipment.

[0068] The working principle and beneficial effects of the above technical solution are: by analyzing the causes of the first gap and the second gap, determining the basic bottleneck, identifying the initial bottleneck position in combination with parameter correlation, verifying its rationality using historical data and operation models, and finally determining the actual bottleneck position and formulating an optimization plan to improve denitrification efficiency.

[0069] Embodiment 7: The embodiment of the present invention provides an online treatment method for flue gas denitrification, which adjusts the operating parameters of the system according to the optimization scheme, generates a corresponding adjustment report, and formulates a maintenance plan based on the adjustment report, including: According to the optimization plan, the operating parameters that need to be adjusted and the corresponding target values ​​are clearly identified, and an adjustment plan is derived; According to the adjustment plan, adjust the operating parameters for the first time, use online monitoring equipment to collect the adjusted parameter data in real time, and monitor the adjustment effect; Compare the performance indicators corresponding to the adjustment effect with the optimization target set by the optimization plan, evaluate the adjustment effect, analyze the gap between the performance indicators corresponding to the adjustment effect and the optimization target, identify the reasons for not meeting the target, and adjust the operating parameters again; Generate a corresponding adjustment report according to the adjustment plan, analyze the system operation status and potential problems based on the adjustment report, determine maintenance goals, and formulate a maintenance plan.

[0070] In this embodiment, the target value refers to the optimal value that the operating parameters set in the optimization scheme need to achieve, which is usually determined based on the system performance optimization requirements and technical feasibility, for example, the temperature target value: 280°C, the pressure target value: 900 Pa, the flow rate target value: 12 m / s, the catalyst dosage target value: 550 kg, and the reactor inlet NOx concentration target value: 150 mg / m³.

[0071] In this embodiment, the adjustment plan refers to the specific operating steps and time schedule formulated according to the optimization plan, which is used to guide the adjustment of operating parameters, for example, the first step: adjusting the temperature from 300°C to 280°C, the second step: adjusting the pressure from 1000Pa to 900 Pa, the third step: adjusting the flow rate from 10 m / s to 12 m / s, and the fourth step: adjusting the catalyst dosage from 500 kg to 550 kg.

[0072] In this embodiment, parameter data refers to operating parameter data collected in real time by online monitoring equipment, which is used to monitor the adjusted system status, for example, adjusted temperature: 285°C, adjusted pressure: 910 Pa, adjusted flow rate: 11.5 m / s, adjusted catalyst dosage: 540 kg.

[0073] In this embodiment, the adjustment effect refers to the change in system performance after the operating parameters are adjusted, which is usually measured by performance indicators (such as denitrification efficiency, energy consumption, emission concentration, etc.). For example, the denitrification efficiency is increased from 92% to 94%, the energy consumption is reduced from 500kWh to 480 kWh, and the NOx emission concentration is reduced from 50 mg / m³ to 45 mg / m³.

[0074] In this embodiment, the indicator gap refers to the difference between the adjusted performance indicator and the optimization target, which is used to evaluate whether the adjustment effect meets expectations. For example, the denitrification efficiency target is 95%, the actual value is 94%, a gap of 1%, the energy consumption target is 450kWh, the actual value is 480 kWh, a gap of 30 kWh, and the NOx emission concentration target is 40 mg / m³, the actual value is 45 mg / m³, a gap of 5 mg / m³.

[0075] In this embodiment, the system operating status refers to the overall operating status of the system after adjustment, including stability, efficiency, and energy consumption. For example, the system operates stably and the denitrification efficiency is improved, but the energy consumption is still higher than the target value.

[0076] In this embodiment, potential problems refer to unresolved problems or newly emerged problems that may affect the performance of the adjusted system, such as insufficient catalyst dosage resulting in denitrification efficiency not meeting the standard, and low fan efficiency resulting in energy consumption higher than the target value.

[0077] In this embodiment, the maintenance target refers to a specific target for system maintenance and improvement formulated for potential problems, such as increasing the catalyst dosage to 550 kg and optimizing the fan design to reduce energy consumption.

[0078] The working principle and beneficial effects of the above technical solution are: through the optimization plan, the operating parameters and target values ​​for adjustment are clearly defined, an adjustment plan is formulated, the effect is monitored in real time after the first adjustment, the gap is evaluated and adjusted again, an adjustment report is generated, the system status is analyzed, maintenance goals are determined and a maintenance plan is formulated, which significantly improves the system's performance, stability and resource utilization.

[0079] Embodiment 8: The embodiment of the present invention provides an online treatment method for flue gas denitrification, generating a corresponding adjustment report according to an adjustment plan, analyzing the system operation status and potential problems based on the adjustment report, determining maintenance goals, and formulating a maintenance plan, including: Evaluate the operational impact of potential problems on the system operating status, clarify the maintenance direction based on the operational impact, set maintenance goals and quantitative indicators corresponding to the maintenance goals, formulate specific maintenance measures based on the maintenance goals, and form a maintenance plan.

[0080] In this embodiment, operational impact refers to the specific impact of potential problems on the operating status of the system, including negative impacts on system performance, stability, efficiency, energy consumption, etc. For example, insufficient catalyst dosage leads to decreased denitrification efficiency, affecting system performance, low fan efficiency leads to increased energy consumption, affecting operating costs, and insufficient control system optimization leads to unstable operation, affecting system reliability.

[0081] In this embodiment, the maintenance direction refers to the main direction or key areas of system maintenance and improvement determined based on the operational impact of potential problems, such as improving catalyst activity to improve denitrification efficiency, optimizing fan design to reduce energy consumption, and improving control system algorithms to improve operational stability.

[0082] In this embodiment, the quantitative indicators refer to specific, measurable numerical indicators used to measure whether the maintenance goals are achieved, for example, denitrification efficiency: increased from 94% to 95%, energy consumption: reduced from 480 kWh to 450 kWh, NOx emission concentration: reduced from 45 mg / m³ to 40 mg / m³, and operational stability: standard deviation reduced from 5% to 3%.

[0083] In this embodiment, maintenance measures refer to specific actions or technical improvements taken to achieve maintenance goals and quantitative indicators, such as replacing high-efficiency catalysts, improving denitrification efficiency, upgrading fan equipment, optimizing design to reduce energy consumption, optimizing control system algorithms, improving operational stability, and regularly calibrating online monitoring equipment to ensure data accuracy.

[0084] The working principle and beneficial effects of the above technical solution are: by evaluating the impact of potential problems on the system operation status, identifying key risk points, clarifying the maintenance direction, setting quantitative indicators to measure maintenance goals, formulating specific maintenance measures, and forming a systematic maintenance plan, ensuring stable operation and continuous optimization of the system, enhancing risk response capabilities, and extending equipment life.

[0085] 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 embodiments of the present invention.

Claims

1. An online treatment method for flue gas denitrification, characterized in that: include: Step 1: Obtain the pipeline structure of the flue gas denitrification system, determine the key positions, install online monitoring equipment at the key positions, and collect flue gas parameters in real time; Step 2: Perform data analysis on the flue gas parameters, establish an operation model, and determine the system performance of the flue gas denitrification system according to the operation model; Step 3: Evaluate the bottleneck situation of the flue gas denitrification system according to the system performance, and formulate an optimization plan based on the bottleneck situation; Step 4: According to the optimization scheme, adjust the operating parameters of the system, generate a corresponding adjustment report, and formulate a maintenance plan based on the adjustment report.

2. The online treatment method for flue gas denitrification according to claim 1, characterized in that: Obtain the pipeline structure of the flue gas denitrification system, determine the key locations, install online monitoring equipment at the key locations, and collect flue gas parameters in real time, including: Determine the position where the smoke parameter changes according to the pipeline structure and the smoke flow characteristics, and classify the position where the smoke parameter changes according to the parameter changes to obtain a first key position, a second key position, and a third key position; The online monitoring devices are matched to the first key position, the second key position and the third key position respectively, the installation method of the online monitoring devices is determined in combination with the flue gas flow characteristics, and the online monitoring devices are installed.

3. The online treatment method for flue gas denitrification according to claim 2, characterized in that: The position where the flue gas parameter changes is determined according to the pipeline structure and the flue gas flow characteristics, and the position where the flue gas parameter changes is classified according to the parameter change situation to obtain the first key position, the second key position and the third key position, including: Flue gas parameters include temperature, NOx concentration and pressure; ,in, represents the temperature distribution function; represents the NOx concentration distribution function; represents the heat source term; represents the pressure distribution function; represents the thermal diffusivity related to the thermal conductivity of flue gas; represents the flue gas velocity; D represents the diffusion coefficient; Indicates smoke density; represents the kinematic viscosity of the smoke; k represents the chemical reaction rate constant; x represents the spatial position of the smoke flow direction; ,in, Represents the spatiotemporal distribution function of smoke parameters; Represents the weight coefficient of the temperature distribution function; Represents the weight coefficient of NOx concentration distribution function; Represents the weight coefficient of the pressure distribution function; ,in, , , Indicates the monitoring feasibility values ​​of different intervals; , Indicates the segmentation point; L indicates the total length of the system; represents the monitoring feasibility function of the monitoring device at position c; ,in, represents the comprehensive scoring function; , , , , represents the weight coefficient of each item, and the sum is 1; a, b represent the spatial range of x; A function representing the degree of influence of smoke parameters; According to the comprehensive scoring function, the smoke parameter change positions are divided into the first, second and third key positions.

4. The online treatment method for flue gas denitrification according to claim 1, characterized in that: Performing data analysis on the flue gas parameters, establishing an operation model, and determining the system performance of the flue gas denitrification system according to the operation model, including: Using online monitoring equipment to collect smoke parameter data in real time, calculating statistical characteristics of the smoke parameters, and determining parameter correlations between the smoke parameters based on the statistical characteristics; determining a first influence between flue gas parameters according to the parameter correlation; Combining the statistical characteristics, parameter correlation and first impact of multiple flue gas parameters, the second impact of the system is obtained, and then the operation model is constructed; According to the operation model, the system performance indicators are defined, and the operation model is used to calculate the performance indicators of the system under different working conditions, thereby obtaining the system performance of the flue gas denitrification system.

5. The online treatment method for flue gas denitrification according to claim 1, characterized in that: Evaluate the bottleneck situation of the flue gas denitrification system according to the system performance, and formulate an optimization plan based on the bottleneck situation, including: Obtaining the optimal operating conditions of the same type of flue gas denitrification system, and deriving the system limit performance based on the optimal operating conditions; Performing a first comparison of the system performance with a system standard performance, and performing a second comparison of the system performance with a system limit performance; Based on the first comparison result and the second comparison result, the bottleneck situation of the flue gas denitrification system is determined, and an optimization plan is formulated.

6. The online treatment method for flue gas denitrification according to claim 5, characterized in that: Based on the first comparison result and the second comparison result, the bottleneck of the flue gas denitrification system is determined, and an optimization plan is formulated, including: Analyze the cause of the first gap based on the first comparison result, analyze the cause of the second gap based on the second comparison result, determine the basic bottleneck by combining the first gap result and the second gap result, and determine the initial bottleneck position by combining the basic bottleneck and the parameter correlation; Use historical data and online monitoring data to verify the first rationality of the initial bottleneck position, and use the running model to simulate the impact of the initial bottleneck position to verify the second rationality; Based on the first rationality and the second rationality, the actual bottleneck position is determined, and the bottleneck situation of the flue gas denitrification system is determined by combining the actual bottleneck position with the basic bottleneck, and an optimization plan is formulated.

7. The online treatment method for flue gas denitrification according to claim 1, characterized in that: According to the optimization scheme, the operating parameters of the system are adjusted, and a corresponding adjustment report is generated, and a maintenance plan is formulated based on the adjustment report, including: According to the optimization plan, the operating parameters that need to be adjusted and the corresponding target values ​​are clearly identified, and an adjustment plan is derived; According to the adjustment plan, adjust the operating parameters for the first time, use online monitoring equipment to collect the adjusted parameter data in real time, and monitor the adjustment effect; Compare the performance indicators corresponding to the adjustment effect with the optimization target set by the optimization plan, evaluate the adjustment effect, analyze the gap between the performance indicators corresponding to the adjustment effect and the optimization target, identify the reasons for not meeting the target, and adjust the operating parameters again; Generate a corresponding adjustment report according to the adjustment plan, analyze the system operation status and potential problems based on the adjustment report, determine maintenance goals, and formulate a maintenance plan.

8. The online treatment method for flue gas denitrification according to claim 7, characterized in that: Generate a corresponding adjustment report based on the adjustment plan, analyze the system operation status and potential problems based on the adjustment report, determine the maintenance goals, and formulate a maintenance plan, including: Evaluate the operational impact of potential problems on the system operating status, clarify the maintenance direction based on the operational impact, set maintenance goals and quantitative indicators corresponding to the maintenance goals, formulate specific maintenance measures based on the maintenance goals, and form a maintenance plan.

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