SCR (Selective Catalytic Reduction) denitration flow field partition control method and device

Abstract

The invention provides an SCR denitration flow field partition control method and device, and relates to the technical field of denitration, and the method comprises the steps: obtaining first flow field data of each partition flue inlet in a selective catalytic reduction SCR system; obtaining second flow field data of each sub-valve in the original agent injection module, and performing feature extraction according to the first flow field data and the second flow field data to obtain adjustment reference data; and the opening degree of the sub-valve is adjusted according to the adjustment reference data. The first flow field data and the second flow field data are processed to obtain the adjustment reference data, the effect of the denitration process is determined, flexible control over all partition flues in the SCR denitration system is achieved, the situation that the using amount of a reducing agent is not matched with the amount of NOx is avoided, and the operation efficiency of the denitration system is improved.

Description

Technical Field

[0001] The present application relates to the field of denitration technology, and in particular to a SCR denitration flow field zoning control method and device. Background Art

[0002] In the power, petrochemical and other industrial fields, with the continuous improvement of environmental protection regulations and standards, the emission control of nitrogen oxides (NOx) released in industrial processes has become increasingly important. Selective Catalytic Reduction (SCR) denitrification technology uses ammonia to reduce NO in flue gas to non-toxic and non-polluting N2 and water vapor under the action of a catalyst in a specific temperature range to achieve the purpose of removing NOx.

[0003] The SCR denitrification method in the prior art has the problem of poor uniformity of NOx gas, which leads to insufficient reduction, air pollution and other problems, seriously affecting the safe and economic operation of coal-fired units, and further affecting the operating efficiency of the entire denitrification system. Summary of the invention

[0004] The present application aims to solve one of the technical problems in the related art at least to some extent.

[0005] To this end, the first purpose of the present application is to propose a SCR denitrification flow field zoning control method.

[0006] The second object of the present application is to provide a device.

[0007] The third objective of the present application is to provide an electronic device.

[0008] A fourth objective of the present application is to provide a computer-readable storage medium.

[0009] A fifth object of the present application is to provide a computer program product.

[0010] To achieve the above-mentioned purpose, the first embodiment of the present application proposes a SCR denitration flow field zoning control method, comprising:

[0011] Acquire first flow field data of inlets of each partitioned flue in a selective catalytic reduction (SCR) system, wherein a flue gas duct in the SCR system is divided into a plurality of the partitioned flues;

[0012] Acquire the second flow field data of each sub-valve in the raw agent injection module;

[0013] Performing feature extraction according to the first flow field data and the second flow field data to obtain adjustment reference data;

[0014] The opening of the sub-valve is adjusted according to the adjustment reference data.

[0015] Optionally, the first flow field data includes: flue gas flow rate, NOx mass concentration, and flue gas temperature.

[0016] Optionally, the second flow field data includes: reducing agent flow rate.

[0017] Optionally, performing feature extraction according to the first flow field data and the second flow field data to obtain adjustment reference data includes:

[0018] Calculating the root mean square of the flue gas flow rate and calculating the root mean square of the reducing agent flow rate;

[0019] The root mean square of the flue gas flow rate is subtracted from the root mean square of the reducing agent flow rate to obtain flow characteristic data.

[0020] Optionally, performing feature extraction according to the first flow field data and the second flow field data to obtain adjustment reference data includes:

[0021] Analyze the correlation between NOx mass concentration, flue gas temperature and reduction effect according to historical data, and determine the weight values ​​corresponding to the NOx mass concentration and flue gas temperature;

[0022] Performing weighted summation on the NOx mass concentration and the flue gas temperature according to the weight value to obtain reduction characteristic data;

[0023] The flow characteristic data and the restored characteristic data are added to obtain the adjustment reference data.

[0024] Optionally, adjusting the opening of the sub-valve according to the adjustment reference data includes:

[0025] If the adjustment reference data is higher than a preset normal range, controlling to increase the opening of the sub-valve;

[0026] If the adjustment reference data is within a preset normal range, controlling the opening of the sub-valve to remain unchanged;

[0027] If the adjustment reference data is lower than a preset normal range, the control reduces the opening of the sub-valve.

[0028] To achieve the above-mentioned purpose, the second embodiment of the present application proposes a SCR denitration flow field zoning control method device, comprising:

[0029] An acquisition module is used to acquire the first flow field data of each partition flue inlet in the selective catalytic reduction SCR system; and to acquire the second flow field data of each sub-valve in the raw agent injection module;

[0030] A processing module, used for performing feature extraction according to the first flow field data and the second flow field data to obtain adjustment reference data;

[0031] A control module is used to adjust the opening of the sub-valve according to the adjustment reference data.

[0032] To achieve the above-mentioned purpose, the third aspect of the present application provides an electronic device, including: a processor, and a memory communicatively connected to the processor;

[0033] The memory stores computer-executable instructions;

[0034] The processor executes the computer-executable instructions stored in the memory to implement the method as described in any one of the first aspects.

[0035] To achieve the above-mentioned purpose, the fourth aspect embodiment of the present application proposes a computer-readable storage medium, in which computer-readable storage medium is stored computer execution instructions, and when the computer execution instructions are executed by a processor, they are used to implement the method as described in any one of the first aspects.

[0036] To achieve the above-mentioned purpose, the fifth aspect of the present application proposes a computer program product, which implements any method in the first aspect when executed by a processor.

[0037] The SCR denitrification flow field zoning control method, device, electronic device and storage medium provided in the present application process the first flow field data and the second flow field data to obtain adjustment reference data, determine the effect of the denitrification process, and realize flexible control of each zone flue in the SCR denitrification system, avoid the mismatch between the amount of reducing agent and the amount of NOx, and improve the operating efficiency of the denitrification system.

[0038] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0040] Figure 1 A schematic flow chart of a SCR denitration flow field zoning control method provided in an embodiment of the present application;

[0041] Figure 2 A schematic diagram of the structure of an SCR denitration flow field partition control system provided in an embodiment of the present application;

[0042] Figure 3A schematic diagram of the structure of a reducing agent injection module provided in an embodiment of the present application;

[0043] Figure 4 A structural schematic diagram of an SCR denitrification flow field zoning control method device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0044] Embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.

[0045] To address this problem, the present application provides a method for controlling the flow field of SCR denitration by partitioning. Figure 1 This is a schematic diagram of a flow chart of a SCR denitration flow field partition control method provided in an embodiment of the present application. Figure 1 As shown, the method comprises the following steps:

[0046] Step 101, obtaining first flow field data at the inlet of each partitioned flue in a selective catalytic reduction SCR system, wherein the flue gas duct in the SCR system is divided into a plurality of the partitioned flues;

[0047] Step 102, obtaining second flow field data of each sub-valve in the raw agent injection module;

[0048] Step 103, performing feature extraction according to the first flow field data and the second flow field data to obtain adjustment reference data;

[0049] Step 104: adjusting the opening of the sub-valve according to the adjustment reference data.

[0050] Figure 2 A schematic diagram of the structure of a SCR denitration flow field partition control system provided in an embodiment of the present application is shown in FIG. Figure 2 As shown, the system includes: a combustion module 10, a nitrogen oxide detection module 20, a flue gas duct 30, a denitration tower 40, a reducing agent injection module 50, a catalyst layer 60, and a control module;

[0051] The combustion module 10 is used to mix and burn fuel and oxygen to produce nitrogen oxides;

[0052] The outlet of the combustion module 10 is connected to the inlet of the flue gas duct 30, and the outlet of the flue gas duct 30 is connected to the inlet of the denitration tower 40;

[0053] The flue gas duct 30 includes a plurality of partitions, and the area between adjacent partitions is a partitioned flue;

[0054] The inlet of each of the partitioned flues is provided with the nitrogen oxide detection module 20;

[0055] The reducing agent injection module 50 is arranged in the denitrification tower 40 and is located below the outlet of the partitioned flue; the reducing agent injection module 50 is used to inject the reducing agent into the catalyst layer 60 to react with the nitrogen oxides output from the outlet of each of the partitioned flues; commonly used reducing agents include ammonia water, liquid ammonia and urea, among which liquid ammonia is a commonly used choice in industry.

[0056] The catalyst layer 60 is disposed in the denitration tower 40, below the reduction injection module, and is used to provide a reaction site so that the nitrogen oxides and the reducing agent react under the action of the catalyst;

[0057] The control module is used to obtain the concentration data detected by the nitrogen oxide detection module 20 and adjust the reductant injection system according to the concentration data. The above-mentioned SCR denitration flow field zoning control method is implemented by the control module.

[0058] In this embodiment, the flue is divided into three partitioned flues by partitions, and the interface of each partitioned flue is close to a square. The resistance in the zone is balanced by the flow blocking and mixing devices, so as to achieve a uniform flow field in the square partition.

[0059] The basic working principle of SCR denitrification technology is to use a reducing agent to selectively reduce nitrogen oxides (NOX) in flue gas into non-toxic, non-polluting nitrogen (N2) and water (H2O) under the action of a certain temperature and catalyst. The role of the catalyst is to reduce the activation energy of the reaction so that the reaction can be carried out in a lower temperature range (usually between 150 and 450°C). The injected reducing agent and NOx in the flue gas need to be fully mixed to ensure the efficiency and effect of the subsequent catalytic reaction. By dividing the flue gas into 3 groups and mixing them evenly in the partitioned flue, the flue gas entering the denitrification tower 40 can efficiently react with the reducing agent under the action of the catalyst in the catalyst layer and be reduced to N2 and H2O.

[0060] Figure 3 A schematic diagram of the structure of a reducing agent injection module provided in an embodiment of the present application is shown in FIG. Figure 3 The reductant injection module 50 includes a main valve 51, a diverter 52, a sub-valve 53, and an injection pipe 54;

[0061] The main valve 51 is disposed on the reducing agent transport pipeline, located at the inlet of the reducing agent injection module 50, and is used to control the total flow of the reducing agent injection module 50;

[0062] The reducing agent transport pipeline is divided into a plurality of sub-pipelines at the splitter 52;

[0063] The inlet of each sub-pipeline is provided with the sub-valve 53;

[0064] The injection pipe 54 is disposed at the end of each of the sub-pipelines, and the sub-valve is used to control the flow of the injection pipe 54 .

[0065] In this embodiment, the flow velocities between the partitioned flues may deviate. The deviation law between the flow fields is determined by CFD flow field simulation, and the injection pipes 54 at the ends of the sub-pipelines are controlled separately according to the partitions, and the ammonia injection branch pipes are controlled based on different flow velocities.

[0066] The reducing agent storage module 70 is used to store the reducing agent, and the reducing agent storage module is connected to the reducing agent injection module 50 through a reducing agent transportation pipeline.

[0067] Optionally, the first flow field data includes: flue gas flow rate, NOx mass concentration, and flue gas temperature.

[0068] Optionally, the second flow field data includes: reducing agent flow rate.

[0069] Optionally, performing feature extraction according to the first flow field data and the second flow field data to obtain adjustment reference data includes:

[0070] Calculating the root mean square of the flue gas flow rate and calculating the root mean square of the reducing agent flow rate;

[0071] The root mean square of the flue gas flow rate is subtracted from the root mean square of the reducing agent flow rate to obtain flow characteristic data.

[0072] In this embodiment, the root mean square of the flue gas flow rate represents the flow rate of the flue gas, and the root mean square of the reducing agent flow rate represents the flow rate of the reducing agent; the flow characteristic data obtained after subtraction represents the difference between the flue gas and reducing agent flows. If it is positive, it means that the flue gas flow rate is greater than the reducing agent flow rate; if it is negative, it means that the flue gas flow rate is less than the reducing agent flow rate.

[0073] Therefore, the higher the flow characteristic data, the worse the characterization restoration effect; therefore, the lower the flow characteristic data, the better the characterization restoration effect.

[0074] Optionally, performing feature extraction according to the first flow field data and the second flow field data to obtain adjustment reference data includes:

[0075] Analyze the correlation between NOx mass concentration, flue gas temperature and reduction effect according to historical data, and determine the weight values ​​corresponding to the NOx mass concentration and flue gas temperature;

[0076] Performing weighted summation on the NOx mass concentration and the flue gas temperature according to the weight value to obtain reduction characteristic data;

[0077] The flow characteristic data and the restored characteristic data are added to obtain the adjustment reference data.

[0078] In this embodiment, in the SCR precise ammonia injection optimization, a dynamic combustion model is established to self-learn big data on the historical correlation between NOx mass concentration, flue gas temperature and reduction effect, and a genetic algorithm is used to quickly and accurately locate the database. Therefore, during the boiler load change process, the weight values ​​corresponding to the NOx mass concentration and the flue gas temperature can be quickly and accurately determined.

[0079] The reduction characteristic data reflects the ideal reduction effect under current conditions. The higher the reduction characteristic data, the higher the amount of NOx, and the worse the reduction effect; the lower the reduction characteristic data, the lower the amount of NOx, and the better the reduction effect.

[0080] Optionally, adjusting the opening of the sub-valve according to the adjustment reference data includes:

[0081] If the adjustment reference data is higher than a preset normal range, controlling to increase the opening of the sub-valve;

[0082] If the adjustment reference data is within a preset normal range, controlling the opening of the sub-valve to remain unchanged;

[0083] If the adjustment reference data is lower than a preset normal range, the control reduces the opening of the sub-valve.

[0084] In this embodiment, the higher the flow characteristic data, the worse the reduction effect; so the lower the flow characteristic data, the better the reduction effect. The higher the reduction characteristic data, the higher the amount of NOx, and the worse the reduction effect; the lower the reduction characteristic data, the lower the amount of NOx, and the better the reduction effect.

[0085] Therefore, the higher the adjustment reference data, the worse the reduction effect; the lower the adjustment reference data, the better the reduction effect. However, the adjustment reference data cannot be too low. When it is too low, the amount of reducing agent used is much higher than the amount required for normal reduction, which will cause waste of reducing agent. Therefore, when the adjustment reference data is lower than the preset normal range, the opening of the sub-valve is controlled to increase.

[0086] In order to implement the above-mentioned embodiment, the present application also proposes a SCR denitration flow field zoning control method device. Figure 4 This is a schematic diagram of the structure of a SCR denitration flow field partition control method device provided in an embodiment of the present application. Figure 4 As shown, the device comprises:

[0087] The acquisition module 410 is used to acquire the first flow field data of each partition flue inlet in the selective catalytic reduction SCR system; and acquire the second flow field data of each sub-valve in the raw agent injection module;

[0088] A processing module 420, configured to perform feature extraction according to the first flow field data and the second flow field data to obtain adjustment reference data;

[0089] The control module 430 is used to adjust the opening of the sub-valve according to the adjustment reference data.

[0090] In order to implement the above embodiments, the present application also proposes an electronic device, comprising: a processor, and a memory communicatively connected to the processor; the memory stores computer-executable instructions; the processor executes the computer-executable instructions stored in the memory to implement the method provided by the above embodiments.

[0091] In order to implement the above embodiments, the present application also proposes a computer-readable storage medium, in which computer-executable instructions are stored. When the computer-executable instructions are executed by a processor, they are used to implement the methods provided by the above embodiments.

[0092] In order to implement the above embodiments, the present application also proposes a computer program product, including a computer program, which implements the methods provided by the above embodiments when executed by a processor.

[0093] The collection, storage, use, processing, transmission, provision and disclosure of user personal information involved in this application are in compliance with relevant laws and regulations and do not violate public order and good morals.

[0094] It should be noted that personal information from users should be collected for legitimate and reasonable purposes and should not be shared or sold outside of these legitimate uses. In addition, such collection / sharing should be carried out after receiving the user's informed consent, including but not limited to notifying the user to read the user agreement / user notice and sign the agreement / authorization including authorization of relevant user information before the user uses the function. In addition, any necessary steps should be taken to protect and safeguard access to such personal information data and ensure that others who have access to personal information data comply with its privacy policy and procedures.

[0095] The present application is expected to provide an implementation scheme for users to selectively block the use or access of personal information data. That is, the present disclosure is expected to provide hardware and / or software to prevent or block access to such personal information data. Once the personal information data is no longer needed, the risk can be minimized by limiting data collection and deleting the data. In addition, when applicable, such personal information is de-identified to protect the privacy of the user.

[0096] In the description of the aforementioned embodiments, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0097] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description of this application, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0098] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code comprising one or more executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present application belong.

[0099] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute the instructions), or in combination with these instruction execution systems, devices or apparatuses. For the purpose of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in combination with these instruction execution systems, devices or apparatuses. More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk box (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), a fiber optic device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium and then editing, interpreting or processing in other suitable ways if necessary, and then stored in a computer memory.

[0100] It should be understood that the various parts of the present application can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0101] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0102] In addition, each functional unit in each embodiment of the present application may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0103] The storage medium mentioned above may be a read-only memory, a magnetic disk or an optical disk, etc. Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limiting the present application. A person of ordinary skill in the art may change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. A SCR denitration flow field zoning control method, characterized in that: The following steps are involved: Acquire first flow field data of inlets of each partitioned flue in a selective catalytic reduction (SCR) system, wherein a flue gas duct in the SCR system is divided into a plurality of the partitioned flues; Acquire the second flow field data of each sub-valve in the raw agent injection module; Performing feature extraction according to the first flow field data and the second flow field data to obtain adjustment reference data; The opening of the sub-valve is adjusted according to the adjustment reference data.

2. The method according to claim 1, characterized in that: The first flow field data includes: flue gas flow rate, NOx mass concentration, and flue gas temperature.

3. The method according to claim 2, characterized in that The second flow field data includes: reducing agent flow rate.

4. The method according to claim 3, characterized in that The step of extracting features according to the first flow field data and the second flow field data to obtain adjustment reference data includes: Calculating the root mean square of the flue gas flow rate and calculating the root mean square of the reducing agent flow rate; The root mean square of the flue gas flow rate is subtracted from the root mean square of the reducing agent flow rate to obtain flow characteristic data.

5. The method according to claim 4, characterized in that The step of extracting features according to the first flow field data and the second flow field data to obtain adjustment reference data includes: Analyze the correlation between NOx mass concentration, flue gas temperature and reduction effect according to historical data, and determine the weight values ​​corresponding to the NOx mass concentration and flue gas temperature; Performing weighted summation on the NOx mass concentration and the flue gas temperature according to the weight value to obtain reduction characteristic data; The flow characteristic data and the restored characteristic data are added to obtain the adjustment reference data.

6. The method according to claim 5, characterized in that The step of adjusting the opening of the sub-valve according to the adjustment reference data comprises: If the adjustment reference data is higher than a preset normal range, controlling to increase the opening of the sub-valve; If the adjustment reference data is within a preset normal range, controlling the opening of the sub-valve to remain unchanged; If the adjustment reference data is lower than a preset normal range, the control reduces the opening of the sub-valve.

7. A SCR denitration flow field zoning control method and device, characterized in that: include: An acquisition module, used to acquire first flow field data of flue inlets of each partition in the selective catalytic reduction SCR system; and obtaining the second flow field data of each sub-valve in the raw agent injection module; A processing module, used for performing feature extraction according to the first flow field data and the second flow field data to obtain adjustment reference data; A control module is used to adjust the opening of the sub-valve according to the adjustment reference data.

8. An electronic device, characterized in that: include: A processor, and a memory communicatively connected to the processor; The memory stores computer-executable instructions; The processor executes the computer-executable instructions stored in the memory to implement the method according to any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions, which are used to implement the method according to any one of claims 1 to 6 when executed by a processor.

10. A computer program product, characterized in that The invention comprises a computer program, which implements the method according to any one of claims 1 to 6 when being executed by a processor.

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