Accounting method and device for carbon dioxide emission of coal-fired boiler
By acquiring real-time operating monitoring parameters of coal-fired boilers, identifying abnormal data, and using preset formulas or emission calculation models, combined with deep learning models to train emission calculation models, the problem of low accuracy in calculating carbon dioxide emissions from coal-fired boilers has been solved, achieving higher calculation accuracy and reliability.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- NORTH CHINA ELECTRICAL POWER RES INST
- Filing Date
- 2025-12-31
- Publication Date
- 2026-05-12
AI Technical Summary
Existing methods for calculating carbon dioxide emissions from coal-fired boilers suffer from low accuracy. In particular, the emission factor method relies heavily on statistical data with significant uncertainties, while the material balance method is constrained by factors such as the accuracy of flue gas flow field and velocity measurement.
By acquiring real-time operating monitoring parameters of coal-fired boilers, identifying abnormal parameter data, determining carbon dioxide emissions using preset formulas or emission calculation models, and training the emission calculation model using deep learning models, the accuracy of the calculation is improved.
This technology improves the accuracy and reliability of carbon dioxide emission calculation during the operation of coal-fired boilers, reduces human interference, and enhances data consistency.
Smart Images
Figure CN122024899A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of carbon emission accounting technology, and in particular to a method and apparatus for calculating carbon dioxide emissions from a coal-fired boiler. Background Technology
[0002] With the adjustment of energy structure and the introduction of carbon emission reduction targets, the monitoring and accounting of carbon dioxide emissions from coal-fired power plants has gradually become a research focus in the power industry and environmental protection field.
[0003] Existing accounting methods are mainly divided into two types: the emission factor method and the material balance method. The emission factor method calculates carbon dioxide emissions by multiplying fuel consumption by a preset emission factor. It is simple to operate and low-cost, and can build a chain of evidence through cross-validation of multi-source data. However, it relies on statistical data and preset emission factors, resulting in significant uncertainty and low accuracy. The material balance method, based on carbon conservation, is more accurate than the emission factor method. It uses infrared technology to monitor flue gas concentration and velocity in real time, dynamically capturing emission fluctuations and reducing human interference. Pilot tests have shown high data consistency. However, this method is limited by factors such as uneven flue gas flow field and the accuracy of velocity measurement, resulting in lower accuracy. Summary of the Invention
[0004] This application provides a method and apparatus for calculating carbon dioxide emissions from coal-fired boilers, with the main purpose of improving the accuracy of calculating carbon dioxide emissions from coal-fired boilers during operation.
[0005] To address the aforementioned technical problems, the embodiments of this application provide the following technical solutions: In a first aspect, this application provides a method for calculating carbon dioxide emissions from coal-fired boilers, the method comprising: Obtain the current set of operating monitoring parameters corresponding to the target coal fed into the furnace, wherein the current set of operating monitoring parameters includes multiple operating monitoring parameters; Determine whether there is any abnormal data among the multiple operational monitoring parameters; If it does not exist, the coal quality analysis result corresponding to the target coal fed into the furnace is determined based on multiple preset formulas and multiple operation monitoring parameters, and the carbon dioxide emission corresponding to the target coal-fired boiler is determined based on the coal quality analysis result. If present, the carbon dioxide emissions of the target coal-fired boiler are determined based on the emission accounting model and multiple operational monitoring parameters.
[0006] Secondly, this application also provides a device for calculating carbon dioxide emissions from a coal-fired boiler, the device comprising: The acquisition unit is used to acquire the current operating monitoring parameter set corresponding to the target coal fed into the furnace, wherein the current operating monitoring parameter set includes multiple operating monitoring parameters; The judgment unit is used to determine whether there is abnormal data among the multiple operation monitoring parameters; The first determining unit is used to determine the coal quality analysis result corresponding to the target coal fed into the furnace based on multiple preset formulas and multiple operating monitoring parameters when it is determined that there is no abnormal data among the multiple operating monitoring parameters, and to determine the carbon dioxide emissions corresponding to the target coal-fired boiler based on the coal quality analysis result. The second determining unit is used to determine the carbon dioxide emissions of the target coal-fired boiler based on the emission calculation model and the multiple operating monitoring parameters when it is determined that there is abnormal data among the multiple operating monitoring parameters.
[0007] Thirdly, embodiments of this application provide a computer device including a memory, a processor, and a computer program stored in the memory, wherein the processor executes the computer program to implement the steps of the method described in the first aspect.
[0008] Fourthly, embodiments of this application provide a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the method described in the first aspect.
[0009] Fifthly, embodiments of this application provide a computer program product, including a computer program that, when executed by a processor, implements the steps of the method described in the first aspect.
[0010] By employing the above-described technical solution, the technical solution provided in this application has at least the following advantages: This application provides a method and apparatus for calculating carbon dioxide emissions from a coal-fired boiler. After obtaining the current set of operating monitoring parameters corresponding to the target coal fed into the boiler through an emission calculation application, the application determines whether there is abnormal data among the multiple operating monitoring parameters included in the current set. When no abnormal data is found, the emission calculation application determines the coal quality analysis result corresponding to the target coal fed into the boiler based on multiple preset formulas and multiple operating monitoring parameters, and determines the carbon dioxide emissions corresponding to the target coal-fired boiler based on the coal quality analysis result. When abnormal data is found among the multiple operating monitoring parameters, the emission calculation application determines the carbon dioxide emissions corresponding to the target coal-fired boiler based on an emission calculation model and multiple operating monitoring parameters. In this application, the emission calculation application determines the carbon dioxide emissions corresponding to the target coal-fired boiler based on real-time collected operating monitoring parameters. Since the operating monitoring parameters corresponding to the coal fed into the boiler can be accurately collected based on preset sensors, the accuracy of the carbon dioxide emission calculation result can be guaranteed.
[0011] The above description is only an overview of the technical solution of this application. In order to better understand the technical means of this application and to implement it in accordance with the contents of the specification, and to make the above and other objects, features and advantages of this application more obvious and understandable, the following are specific embodiments of this application. Attached Figure Description
[0012] The above and other objects, features, and advantages of exemplary embodiments of this application will become readily understood by reading the following detailed description with reference to the accompanying drawings. In the drawings, several embodiments of this application are illustrated by way of example and not limitation, with the same or corresponding reference numerals denoteing the same or corresponding parts, wherein: Figure 1 A flowchart illustrating a method for calculating carbon dioxide emissions from a coal-fired boiler, as provided in an embodiment of this application, is shown. Figure 2 A flowchart illustrating another method for calculating carbon dioxide emissions from coal-fired boilers provided in this application embodiment is shown. Figure 3 This invention provides a block diagram illustrating the composition of a device for calculating carbon dioxide emissions from a coal-fired boiler, as illustrated in an embodiment of this application. Figure 4 A block diagram of another coal-fired boiler carbon dioxide emission calculation device provided in an embodiment of this application is shown. Detailed Implementation
[0013] Exemplary embodiments of this application will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of this application are shown in the drawings, it should be understood that this application may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided to enable a more thorough understanding of this application and to fully convey the scope of this application to those skilled in the art.
[0014] Furthermore, the terms “first,” “second,” and similar terms used in this application do not indicate any order, quantity, or importance, but are merely used to distinguish different parts.
[0015] It should be noted that, unless otherwise stated, the technical or scientific terms used in this application shall have the ordinary meaning as understood by one of ordinary skill in the art to which this application pertains.
[0016] Existing accounting methods are mainly divided into two types: the emission factor method and the material balance method. The emission factor method calculates carbon dioxide emissions by multiplying fuel consumption by a preset emission factor. It is simple to operate and low in cost, and can build a chain of evidence through cross-validation of multi-source data. However, it relies on statistical data and preset emission factors, resulting in significant uncertainty and thus low accuracy. The material balance method, based on the conservation of carbon, is more accurate than the emission factor method. It uses infrared technology to monitor flue gas concentration and velocity in real time, dynamically capturing emission fluctuations and reducing human interference. Pilot tests have shown high data consistency. However, its initial equipment and maintenance costs are high, and it is constrained by factors such as uneven flue gas flow field and the accuracy of flow velocity measurement, resulting in lower accuracy.
[0017] To improve the accuracy of calculating carbon dioxide emissions from coal-fired boilers during operation, this application provides a method for calculating carbon dioxide emissions from coal-fired boilers, such as... Figure 1 As shown.
[0018] 101. Obtain the set of current operating monitoring parameters corresponding to the target coal fed into the furnace.
[0019] Among them, the target coal fed into the furnace refers to the coal currently burning in the target coal-fired boiler within the target coal-fired power plant; the set of current operation monitoring parameters corresponding to the target coal fed into the furnace includes multiple operation monitoring parameters, which may include, but are not limited to: the standard flue gas volume, coal consumption, volumetric moisture content of flue gas at the boiler outlet, excess air coefficient, SO2 concentration, CO concentration, NO concentration, oxygen content, particulate matter concentration, dust removal efficiency, carbon content in slag, and carbon content in fly ash, etc.
[0020] In this embodiment of the application, the execution entity in each step is an emissions calculation application running on the target terminal device, wherein the target terminal device may be, but is not limited to, a computer, tablet computer, laptop computer, etc.
[0021] Staff at the target coal-fired power plant need to pre-install multiple sensors at the target coal-fired boiler. During the operation of the target coal-fired boiler, these sensors can collect various operational monitoring parameters corresponding to the coal fed into the boiler in real time, such as standard flue gas volume, coal consumption, and boiler outlet flue gas volumetric moisture content. The collected operational monitoring parameters are then sent to the target terminal device, which stores the multiple operational monitoring parameters as a set in its local storage space. When staff need to perform coal quality analysis on the coal fed into the boiler, they can input the corresponding instructions into the emission calculation application. After receiving the instructions, the emission calculation application can retrieve the current set of operational monitoring parameters corresponding to the target coal fed into the boiler (i.e., the set of operational monitoring parameters whose storage time is closest to the current time) from the local storage space of the target terminal device.
[0022] 102. Determine if there is any abnormal data among multiple operation monitoring parameters.
[0023] Staff will pre-set the reasonable value range for each type of operation monitoring parameter based on the actual working conditions. After obtaining the current set of operation monitoring parameters corresponding to the target coal fed into the furnace, the emission calculation application needs to determine whether there is any abnormal data among the multiple operation monitoring parameters included in the current set of operation monitoring parameters. That is, it needs to determine whether each operation monitoring parameter is within its corresponding reasonable value range. When an operation monitoring parameter is within its corresponding reasonable value range, it can be determined that the operation monitoring parameter is normal data. When an operation monitoring parameter is not within its corresponding reasonable value range, it can be determined that the operation monitoring parameter is abnormal data.
[0024] 103a. When it is determined that there is no abnormal data among multiple operation monitoring parameters, the coal quality analysis result corresponding to the target coal fed into the furnace is determined based on multiple preset formulas and multiple operation monitoring parameters, and the carbon dioxide emission corresponding to the target coal-fired boiler is determined based on the coal quality analysis result.
[0025] Among them, many preset formulas are set according to the law of conservation of elements.
[0026] When it is determined that there is no abnormal data among multiple operational monitoring parameters, the emission calculation application can determine the coal quality analysis results corresponding to the target coal fed into the furnace based on multiple preset formulas and multiple operational monitoring parameters, and determine the carbon dioxide emissions corresponding to the target coal-fired boiler based on the coal quality analysis results.
[0027] 103b. When abnormal data is found in multiple operation monitoring parameters, the carbon dioxide emissions of the target coal-fired boiler are determined based on the emission calculation model and multiple operation monitoring parameters.
[0028] The emission calculation model is used to determine the carbon dioxide emissions of the target coal-fired boiler based on normal data from multiple operational monitoring parameters.
[0029] When abnormal data is detected in multiple operational monitoring parameters, the emission accounting application can determine the carbon dioxide emissions of the target coal-fired boiler based on the emission accounting model and multiple operational monitoring parameters.
[0030] This application provides a method for calculating carbon dioxide emissions from a coal-fired boiler. In this method, after obtaining the current operational monitoring parameter set corresponding to the target coal fed into the boiler through an emission calculation application, the application determines whether there is abnormal data among the multiple operational monitoring parameters included in the current operational monitoring parameter set. When no abnormal data is found among the multiple operational monitoring parameters, the emission calculation application determines the coal quality analysis result corresponding to the target coal fed into the boiler based on multiple preset formulas and multiple operational monitoring parameters, and determines the carbon dioxide emissions corresponding to the target coal-fired boiler based on the coal quality analysis result. When abnormal data is found among the multiple operational monitoring parameters, the emission calculation application determines the carbon dioxide emissions corresponding to the target coal-fired boiler based on an emission calculation model and multiple operational monitoring parameters. In this application, the emission calculation application determines the carbon dioxide emissions corresponding to the target coal-fired boiler based on real-time collected operational monitoring parameters. Since the operational monitoring parameters corresponding to the coal fed into the boiler can be accurately collected based on preset sensors, the accuracy of the carbon dioxide emission calculation result can be guaranteed.
[0031] To illustrate this in more detail, the present application provides another method for calculating carbon dioxide emissions from coal-fired boilers, as detailed below. Figure 2 As shown.
[0032] 201. Training the emission calculation model.
[0033] To ensure that the emissions calculation application can accurately determine the carbon dioxide emissions of the target coal-fired boiler based on the multiple operational monitoring parameters contained in the current operational monitoring parameter set corresponding to the target coal input, it is necessary to pre-train the emissions calculation model. The following will provide a detailed explanation of how to train and obtain the emissions calculation model.
[0034] (1) Obtain a training sample set, wherein the training sample set contains multiple training samples. For any training sample, the training sample contains a set of sample operation monitoring parameters corresponding to a sample coal, sample received sulfur content, sample received ash content, sample received carbon content, sample received hydrogen content, sample received oxygen content, sample received moisture content, sample carbon dioxide emission factor, sample activity data, and sample carbon dioxide emission; wherein, the set of sample operation monitoring parameters may include standard flue gas volume, coal consumption, boiler outlet flue gas volumetric moisture content, excess air coefficient, SO2 concentration in boiler outlet flue gas, The operational monitoring parameters include all parameters such as CO concentration, NO concentration, oxygen content, particulate matter concentration, dust removal efficiency, carbon content in slag, and carbon content in fly ash in the boiler outlet flue gas. These parameters may also include some operational monitoring parameters such as standard flue gas volume, coal consumption, volumetric moisture content of boiler outlet flue gas, excess air coefficient, SO2 concentration, CO concentration, NO concentration, oxygen content, particulate matter concentration, dust removal efficiency, carbon content in slag, and carbon content in fly ash. This application does not specifically limit these parameters in the embodiments.
[0035] (2) Train the deep learning model based on the training sample set until the loss function corresponding to the deep learning model converges to obtain the emission accounting model.
[0036] The deep learning model can be a model built based on any existing deep learning algorithm, and this application does not specifically limit it.
[0037] The deep learning model is iteratively trained using a training sample set containing multiple training samples. In each round of training, it is determined whether the loss function of the deep learning model has converged. If the loss function converges, the deep learning model obtained after this round of training is determined as the emission calculation model. If the loss function has not converged, the model parameters of the deep learning model are optimized and adjusted according to the loss function, and the next round of training is carried out based on the optimized and adjusted deep learning model.
[0038] That is, after multiple rounds of iterative training of the deep learning model based on the training sample set, when the loss function of the deep learning model converges, the deep learning model at this time is determined to be the emission accounting model.
[0039] Because, under certain specific circumstances, even with a large number of iterative training sessions, the loss function of a deep learning model may not converge, in order to avoid endless iterative training of the deep learning model, when it is determined that the loss function of the deep learning model obtained after this round of training has not converged, the following two methods can be used, but are not limited to: 1. If the loss function of the deep learning model has not converged, determine whether the current cumulative iteration training time of the deep learning model based on the training sample set has reached the preset time threshold.
[0040] If the current cumulative training duration reaches the preset duration threshold, it means that the training duration has reached the required level. At this point, the training can be stopped, and the deep learning model obtained after this round of training can be identified as the emission calculation model.
[0041] If the current cumulative training time has not reached the preset time threshold, then the process can proceed to the next round of training, where the model parameters of the deep learning model are optimized and adjusted according to the loss function, and the optimized and adjusted deep learning model is used as the basis for the next round of training.
[0042] 2. If the loss function of the deep learning model has not converged, determine whether the current cumulative number of iterations of training the deep learning model based on the training sample set has reached the preset threshold.
[0043] If the current cumulative number of training iterations reaches the preset threshold, it means that the required number of training iterations has been reached. At this point, the training iterations can be stopped, and the deep learning model obtained after this round of training can be determined as the emission calculation model.
[0044] If the current cumulative number of training iterations has not reached the preset threshold, then the process can proceed to the next round of training, where the model parameters of the deep learning model are optimized and adjusted according to the loss function, and the optimized and adjusted deep learning model is used as the basis for the next round of training.
[0045] 202. Obtain the set of current operating monitoring parameters corresponding to the target coal fed into the furnace.
[0046] Regarding step 202, obtaining the set of current operating monitoring parameters corresponding to the target coal fed into the furnace, please refer to the relevant description of step 101 above. This embodiment of the application will not repeat it here.
[0047] 203. Determine if there is any abnormal data among multiple operation monitoring parameters.
[0048] Regarding step 203, determining whether there is abnormal data among multiple operation monitoring parameters, please refer to the relevant description of step 102 above. This embodiment of the application will not repeat it here.
[0049] 204a. When it is determined that there is no abnormal data among multiple operation monitoring parameters, the coal quality analysis result corresponding to the target coal fed into the furnace is determined based on multiple preset formulas and multiple operation monitoring parameters, and the carbon dioxide emission corresponding to the target coal-fired boiler is determined based on the coal quality analysis result.
[0050] Among them, several operational monitoring parameters include: standard flue gas volume corresponding to the target coal input, coal quantity, volumetric moisture content of flue gas at boiler outlet, excess air coefficient, SO2 concentration in flue gas at boiler outlet, CO concentration in flue gas at boiler outlet, NO concentration in flue gas at boiler outlet, oxygen content in flue gas at boiler outlet, particulate matter concentration in flue gas at boiler outlet, dust removal efficiency, carbon content in slag, and carbon content in fly ash.
[0051] When it is determined that there is no abnormal data among multiple operational monitoring parameters, the emission calculation application can determine the coal quality analysis results corresponding to the target coal fed into the furnace based on multiple preset formulas and multiple operational monitoring parameters, and determine the carbon dioxide emissions corresponding to the target coal-fired boiler based on the coal quality analysis results.
[0052] Specifically, in this step, the emission calculation application determines the coal quality analysis results corresponding to the target coal fed into the furnace based on multiple preset formulas and multiple operational monitoring parameters as follows: (1) First, obtain the set of constant terms corresponding to the target coal fed into the furnace. The set of constant terms includes the coefficient of sulfur in the coal being converted into SO2 and the ratio of fly ash to the total amount of ash and slag.
[0053] (2) Next, the coefficient of sulfur in coal to SO2, the standard flue gas volume corresponding to the target coal to be fed into the furnace, the coal volume and the SO2 concentration in the flue gas at the boiler outlet are substituted into the first preset formula to calculate the received basic sulfur content corresponding to the target coal to be fed into the furnace.
[0054] (3) Next, the proportion of fly ash to total ash and slag, the standard flue gas volume corresponding to the target coal fed into the furnace, the coal volume, and the particulate matter concentration in the flue gas at the boiler outlet are substituted into the second preset formula to calculate the received ash content corresponding to the target coal fed into the furnace.
[0055] (4) Then, the standard flue gas volume, coal volume, boiler outlet flue gas volumetric moisture content, excess air coefficient, SO2 concentration, CO concentration, NO concentration, oxygen content, as-received sulfur content, and as-received ash content corresponding to the target coal are substituted into the preset positive definite equation set to calculate the as-received carbon content, as-received hydrogen content, as-received oxygen content, as-received nitrogen content, and as-received moisture content corresponding to the target coal.
[0056] (5) Finally, the as-received sulfur content, as-received ash content, as-received carbon content, as-received hydrogen content, as-received oxygen content, as-received nitrogen content and as-received moisture content of the target coal are determined as the coal quality analysis results of the target coal.
[0057] The first preset formula is as follows: 0.007S ar =(Q* CSO2 )*(22.4 / 64)*10 -6 / (k SO2 *B*1000) Among them, S ar Let Q be the received basis sulfur content of the target coal fed into the furnace, and C be the standard flue gas volume corresponding to the target coal fed into the furnace. SO2 k represents the SO2 concentration in the boiler outlet flue gas corresponding to the target coal input. SO2 denoted as the coefficient for the conversion of sulfur in coal to SO2, and B is the amount of coal required to fuel the target furnace.
[0058] The second preset formula is as follows: A ar =(Q* C dust *10 -7 ) / (B*r) Among them, A ar Let C be the received ash content of the target coal fed into the furnace, Q be the standard flue gas volume corresponding to the target coal fed into the furnace, and C be the ash content of the target coal fed into the furnace. dust Let B be the particulate matter concentration in the boiler outlet flue gas corresponding to the target coal input, B be the amount of coal input corresponding to the target coal input, and r be the ratio of fly ash to the total ash and slag.
[0059] The pre-set positive definite equation system is as follows: C ar +H ar +O ar +N ar +S ar +A ar +M ar =100 0.11524H ar +0.0124M ar +0.001424(C ar +0.375S ar -0.0005328 O ar =(Q*X sw ) / (B*1000) (0.037334-0.0374λ) C ar -0.014λS ar -0.014(1-λ) O ar -0.0124M ar -0.1113λH ar =X X=(Q*C) CO )*(22.4 / 28)*10 -6 / (B*1000)-( Q*X sw) / (B*1000)-(2* Q*O2) / (B*1000)- (2* Q* C SO2 )*(22.4 / 64)*10 -6 / (B*1000)-(Q*C NO )*(22.4 / 34)*10 -6 / (B*1000) O ar *Y=202.276592-3.81184*C ar *Y+0.01777704*(C ar *Y)^2 H ar *Y=-52.867025+1.49843546* C ar *Y-0.00961601* (C ar *Y)^2 Y=(100-A ar -M ar ) Among them, C ar H is the received carbon content corresponding to the target coal fed into the furnace. ar The target amount of hydrogen content in the coal fed into the furnace is the received basis. ar The target oxygen content (N) of the coal fed into the furnace is the received basis. ar S represents the received basis nitrogen content of the target coal fed into the furnace. ar For the target base sulfur content of the coal fed into the furnace, A ar M represents the received ash content of the target coal fed into the furnace. ar Let X be the received basis moisture content of the target coal fed into the furnace, Q be the standard state flue gas volume corresponding to the target coal fed into the furnace, and X be the standard state flue gas volume. sw Let B be the volumetric moisture content of the boiler outlet flue gas corresponding to the target coal input, λ be the coal quantity corresponding to the target coal input, and C be the excess air coefficient corresponding to the target coal input. SO2 C represents the SO2 concentration in the boiler outlet flue gas corresponding to the target coal input. CO C represents the CO concentration in the boiler outlet flue gas corresponding to the target coal input. NO O2 represents the NO concentration in the boiler outlet flue gas corresponding to the target coal input, and O2 represents the oxygen content in the boiler outlet flue gas corresponding to the target coal input.
[0060] Specifically, in this step, the emission calculation application determines the carbon dioxide emissions corresponding to the target coal-fired boiler based on the coal quality analysis results as follows: (1) First, based on the received sulfur content, received ash content, received carbon content, received hydrogen content, received oxygen content, and received moisture content of the target coal, calculate the carbon dioxide emission factor and activity data corresponding to the target coal. The specific process is as follows: S1. Substitute the received sulfur content, received ash content, received carbon content, received hydrogen content, received oxygen content and received moisture content of the target coal into the third preset formula to calculate the lower heating value of the target coal. S2. Substitute the ratio of fly ash to total ash and slag, the standard flue gas volume corresponding to the target coal fed into the furnace, and the particulate matter concentration in the flue gas at the boiler outlet into the fourth preset formula to calculate the slag production and fly ash production corresponding to the target coal fed into the furnace. S3. Substitute the slag output, fly ash output, slag carbon content, fly ash carbon content, dust removal efficiency, coal consumption, received carbon content, and lower heating value corresponding to the target coal into the fifth preset formula to calculate the carbon dioxide emission factor corresponding to the target coal. S4. Substitute the lower heating value and coal consumption into the sixth preset formula to calculate the activity data corresponding to the target coal input.
[0061] The third preset formula is as follows: Q net,ar,p =280.3 C ar *1007.5 H ar +67 S ar -155.6 O ar -86 M ar -70.3 A ar +5737 Among them, Q net,ar,p C is the lower heating value of the coal to be fed into the furnace. ar H is the received carbon content corresponding to the target coal fed into the furnace. ar The target amount of hydrogen content in the coal fed into the furnace is the received basis. ar S represents the received basis oxygen content corresponding to the target coal fed into the furnace. ar For the target base sulfur content of the coal fed into the furnace, A ar M represents the received ash content of the target coal fed into the furnace. ar The moisture content of the target coal fed into the furnace is the received basis.
[0062] The fourth preset formula is as follows: G 渣 =[Q* C dust *(1-r)]*10 -9 / r G 灰 = Q* Cdust *10 -9 Among them, G 渣 G is the slag production corresponding to the target coal input into the furnace. 灰 Let C be the fly ash yield corresponding to the target coal input, Q be the standard flue gas volume corresponding to the target coal input, and C be the standard flue gas volume. dust Let r be the concentration of particulate matter in the boiler outlet flue gas corresponding to the target coal fed into the furnace, and r be the ratio of fly ash to the total ash and slag.
[0063] The fifth preset formula is as follows: EF=[1-(G 渣 *C 渣 +G 灰 *C 灰 / η) *100 / (B* C ar )] *(10 C ar / Q net,ar,p )*(44 / 12) Where EF is the carbon dioxide emission factor corresponding to the target coal fed into the furnace, and G 渣 G is the slag production corresponding to the target coal input into the furnace. 灰 C is the fly ash production corresponding to the target coal input into the furnace. 渣 C represents the carbon content in the slag corresponding to the target coal fed into the furnace. 灰 Let η be the carbon content of fly ash corresponding to the target coal input, η be the dust removal efficiency corresponding to the target coal input, B be the coal quantity corresponding to the target coal input, and C be the amount of coal consumed. ar Q represents the received carbon content of the target coal fed into the furnace. net,ar,p The target is the lower heating value of the coal fed into the furnace.
[0064] (2) Secondly, based on the carbon dioxide emission factor and activity data corresponding to the target coal-fired boiler, calculate the carbon dioxide emission of the target coal-fired boiler, that is, multiply the carbon dioxide emission factor corresponding to the target coal-fired boiler by the activity data corresponding to the target coal-fired boiler, and determine the calculation result as the carbon dioxide emission of the target coal-fired boiler.
[0065] 204b. When abnormal data is found in multiple operation monitoring parameters, the carbon dioxide emissions of the target coal-fired boiler shall be determined based on the emission calculation model and multiple operation monitoring parameters.
[0066] Multiple operational monitoring parameters include: standard flue gas volume corresponding to the target coal input, coal quantity, volumetric moisture content of flue gas at boiler outlet, excess air coefficient, SO2 concentration in flue gas at boiler outlet, CO concentration in flue gas at boiler outlet, NO concentration in flue gas at boiler outlet, oxygen content in flue gas at boiler outlet, particulate matter concentration in flue gas at boiler outlet, dust removal efficiency, carbon content in slag, and carbon content in fly ash.
[0067] When abnormal data is detected in multiple operational monitoring parameters, the emission accounting application can determine the carbon dioxide emissions of the target coal-fired boiler based on the emission accounting model and multiple operational monitoring parameters.
[0068] Specifically, in this step, the emission accounting application determines the carbon dioxide emissions corresponding to the target coal-fired boiler based on the emission accounting model and multiple operational monitoring parameters as follows: (1) First, abnormal data in multiple operation monitoring parameters are removed.
[0069] (2) Secondly, the multiple operational monitoring parameters after elimination processing are input into the emission calculation model. After receiving the multiple operational monitoring parameters after elimination processing, the emission calculation model can determine the received sulfur content, received ash content, received carbon content, received hydrogen content, received oxygen content and received moisture content of the target coal. Based on the received sulfur content, received ash content, received carbon content, received hydrogen content, received oxygen content, received moisture content and the multiple operational monitoring parameters after elimination processing, the carbon dioxide emission factor and activity data of the target coal are determined. Based on the carbon dioxide emission factor and activity data of the target coal, the carbon dioxide emission amount of the target coal-fired boiler is determined.
[0070] Furthermore, as a response to the above Figure 1 and Figure 2 In addition to the method described above, another embodiment of this application provides a device for calculating carbon dioxide emissions from a coal-fired boiler. This device embodiment corresponds to the aforementioned method embodiment. For ease of reading, this device embodiment will not repeat the details of the aforementioned method embodiments, but it should be understood that the device in this embodiment can implement all the contents of the aforementioned method embodiments. This device is used to improve the accuracy of calculating carbon dioxide emissions from a coal-fired boiler during operation, specifically as follows... Figure 3 As shown, the device includes: The acquisition unit 31 is used to acquire the current operating monitoring parameter set corresponding to the target coal fed into the furnace, wherein the current operating monitoring parameter set includes multiple operating monitoring parameters; Judgment unit 32 is used to determine whether there is abnormal data among the multiple operation monitoring parameters; The first determining unit 33 is used to determine the coal quality analysis result corresponding to the target coal fed into the furnace based on multiple preset formulas and multiple operating monitoring parameters when it is determined that there is no abnormal data among the multiple operating monitoring parameters, and to determine the carbon dioxide emission corresponding to the target coal-fired boiler based on the coal quality analysis result. The second determining unit 34 is used to determine the carbon dioxide emissions of the target coal-fired boiler based on the emission calculation model and the multiple operating monitoring parameters when it is determined that there is abnormal data among the multiple operating monitoring parameters.
[0071] Furthermore, such as Figure 4 As shown, the multiple operational monitoring parameters include: the standard flue gas volume corresponding to the target coal input, the coal quantity, the volumetric moisture content of the flue gas at the boiler outlet, the excess air coefficient, the SO2 concentration in the flue gas at the boiler outlet, the CO concentration in the flue gas at the boiler outlet, the NO concentration in the flue gas at the boiler outlet, the oxygen content in the flue gas at the boiler outlet, and the particulate matter concentration in the flue gas at the boiler outlet; the first determining unit 33 is specifically used for: Obtain the set of constant terms corresponding to the target coal fed into the furnace, wherein the set of constant terms includes the coefficient of sulfur conversion to SO2 in the coal and the ratio of fly ash to the total ash and slag; The standard flue gas volume, the coal consumption, the coefficient of sulfur conversion to SO2 in the coal, and the SO2 concentration in the boiler outlet flue gas are substituted into the first preset formula to calculate the received basis sulfur content corresponding to the target coal fed into the furnace. The fly ash ratio, the standard flue gas volume, the coal consumption, and the particulate matter concentration in the boiler outlet flue gas are substituted into the second preset formula to calculate the received ash content corresponding to the target coal fed into the boiler. The standard flue gas volume, the coal consumption, the volumetric moisture content of the boiler outlet flue gas, the excess air coefficient, the SO2 concentration, CO concentration, NO concentration, oxygen content, sulfur content, and ash content of the boiler outlet flue gas are substituted into a preset positive definite equation set to calculate the carbon content, hydrogen content, oxygen content, nitrogen content, and moisture content of the target coal fed into the furnace. The as-received sulfur content, as-received ash content, as-received carbon content, as-received hydrogen content, as-received oxygen content, as-received nitrogen content, and as-received moisture content corresponding to the target coal fed into the furnace are determined as the coal quality analysis results.
[0072] Furthermore, such as Figure 4 As shown, the first determining unit 33 is specifically used for: Based on the received sulfur content, received ash content, received carbon content, received hydrogen content, received oxygen content, and received moisture content, calculate the carbon dioxide emission factor and activity data corresponding to the target coal fed into the furnace; Based on the carbon dioxide emission factor and activity data corresponding to the target coal-fired boiler, calculate the carbon dioxide emissions corresponding to the target coal-fired boiler.
[0073] Furthermore, such as Figure 4 As shown, the multiple operational monitoring parameters also include: dust removal efficiency, slag carbon content, and fly ash carbon content; the first determining unit 33 is specifically used for: Substitute the received sulfur content, received ash content, received carbon content, received hydrogen content, received oxygen content, and received moisture content into the third preset formula to calculate the lower heating value corresponding to the target coal fed into the furnace. Substitute the standard flue gas volume, the particulate matter concentration in the boiler outlet flue gas, and the ratio of fly ash to total ash and slag into the fourth preset formula to calculate the slag production and fly ash production corresponding to the target coal fed into the furnace. The slag output, fly ash output, carbon content of slag, carbon content of fly ash, dust removal efficiency, coal consumption, as-received carbon content, and lower heating value are substituted into the fifth preset formula to calculate the carbon dioxide emission factor corresponding to the target coal fed into the furnace. Substitute the lower heating value and the amount of coal consumed into the sixth preset formula to calculate the activity data corresponding to the target coal fed into the furnace.
[0074] Furthermore, such as Figure 4 As shown, the multiple operational monitoring parameters include: the standard flue gas volume corresponding to the target coal input, the coal input, the volumetric moisture content of the flue gas at the boiler outlet, the excess air coefficient, the SO2 concentration in the flue gas at the boiler outlet, the CO concentration in the flue gas at the boiler outlet, the NO concentration in the flue gas at the boiler outlet, the oxygen content in the flue gas at the boiler outlet, the particulate matter concentration in the flue gas at the boiler outlet, the dust removal efficiency, the carbon content of the slag, and the carbon content of the fly ash; the second determining unit 34 is specifically used for: Abnormal data in multiple of the aforementioned operational monitoring parameters are removed. The multiple operational monitoring parameters, after being filtered out, are input into the emission calculation model to determine the carbon dioxide emissions corresponding to the target coal-fired boiler. The emission calculation model is used to determine the received-on-arrival sulfur content, received-on-arrival ash content, received-on-arrival carbon content, received-on-arrival hydrogen content, received-on-arrival oxygen content, and received-on-arrival moisture content of the target coal fed into the boiler, based on multiple operational monitoring parameters after elimination processing. It also determines the carbon dioxide emission factor and activity data corresponding to the target coal fed into the boiler based on the received-on-arrival sulfur content, received-on-arrival ash content, received-on-arrival carbon content, received-on-arrival hydrogen content, received-on-arrival oxygen content, received-on-arrival moisture content, and the multiple operational monitoring parameters after elimination processing. Finally, it determines the carbon dioxide emissions corresponding to the target coal-fired boiler based on the carbon dioxide emission factor and activity data corresponding to the target coal fed into the boiler.
[0075] Furthermore, such as Figure 4 As shown, the device also includes: Training unit 35 is used to acquire a training sample set, wherein the training sample set contains multiple training samples, and the training samples include a set of sample operation monitoring parameters corresponding to sample coal, sample received sulfur content, sample received ash content, sample received carbon content, sample received hydrogen content, sample received oxygen content, sample received moisture content, sample carbon dioxide emission factor, sample activity data, and sample carbon dioxide emission. The deep learning model is iteratively trained based on the aforementioned training sample set; wherein... In each round of training, it is determined whether the loss function of the deep learning model has converged; If the loss function converges, the deep learning model obtained after this round of training will be determined as the emission calculation model. If the loss function fails to converge, the model parameters of the deep learning model are optimized and adjusted according to the loss function, and the optimized deep learning model is then used to enter the next round of training.
[0076] This application provides a method and apparatus for calculating carbon dioxide emissions from a coal-fired boiler. In this embodiment, after the emission calculation application obtains the current operating monitoring parameter set corresponding to the target coal fed into the boiler, the application determines whether there is abnormal data among the multiple operating monitoring parameters included in the current operating monitoring parameter set. When it is determined that there is no abnormal data among the multiple operating monitoring parameters, the emission calculation application determines the coal quality analysis result corresponding to the target coal fed into the boiler based on multiple preset formulas and multiple operating monitoring parameters, and determines the carbon dioxide emissions corresponding to the target coal-fired boiler based on the coal quality analysis result. When it is determined that there is abnormal data among the multiple operating monitoring parameters, the emission calculation application determines the carbon dioxide emissions corresponding to the target coal-fired boiler based on the emission calculation model and multiple operating monitoring parameters. In this embodiment, the emission calculation application determines the carbon dioxide emissions corresponding to the target coal-fired boiler based on real-time collected operating monitoring parameters. Since the operating monitoring parameters corresponding to the coal fed into the boiler can be accurately collected based on preset sensors, the accuracy of the carbon dioxide emission calculation result can be guaranteed.
[0077] This application provides a computer device, including a memory, a processor, and a computer program stored in the memory. The processor executes the computer program to implement the above-described method for calculating carbon dioxide emissions from coal-fired boilers.
[0078] This application also provides a computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the above-described method for calculating carbon dioxide emissions from coal-fired boilers.
[0079] This application also provides a computer program product, including a computer program that, when executed by a processor, implements the above-described method for calculating carbon dioxide emissions from coal-fired boilers.
[0080] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.
[0081] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.
[0082] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.
[0083] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.
[0084] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.
[0085] Memory may include non-persistent memory in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory is an example of computer-readable media.
[0086] Computer-readable media includes both permanent and non-permanent, removable and non-removable media that can store information using any method or technology. Information can be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, magnetic magnetic disk storage or other magnetic storage devices, or any other non-transferable medium that can be used to store information accessible by a computing device. As defined herein, computer-readable media does not include transient computer-readable media, such as modulated data signals and carrier waves.
[0087] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.
[0088] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.
[0089] The above are merely embodiments of this application and are not intended to limit the scope of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of the claims of this application.
Claims
1. A method for calculating carbon dioxide emissions from coal-fired boilers, characterized in that, The method includes: Obtain the current set of operating monitoring parameters corresponding to the target coal fed into the furnace, wherein the current set of operating monitoring parameters includes multiple operating monitoring parameters; Determine whether there is abnormal data among the multiple operational monitoring parameters; If it does not exist, the coal quality analysis result corresponding to the target coal fed into the furnace is determined based on multiple preset formulas and multiple operation monitoring parameters, and the carbon dioxide emission corresponding to the target coal-fired boiler is determined based on the coal quality analysis result. If present, the carbon dioxide emissions corresponding to the target coal-fired boiler are determined based on the emission accounting model and multiple operational monitoring parameters.
2. The method according to claim 1, characterized in that, The multiple operational monitoring parameters include: the standard flue gas volume corresponding to the target coal fed into the furnace, the coal quantity, the volumetric moisture content of the flue gas at the boiler outlet, the excess air coefficient, the SO2 concentration in the flue gas at the boiler outlet, the CO concentration in the flue gas at the boiler outlet, the NO concentration in the flue gas at the boiler outlet, the oxygen content in the flue gas at the boiler outlet, and the particulate matter concentration in the flue gas at the boiler outlet; the determination of the coal quality analysis results corresponding to the target coal fed into the furnace based on multiple preset formulas and multiple operational monitoring parameters includes: Obtain the set of constant terms corresponding to the target coal fed into the furnace, wherein the set of constant terms includes the coefficient of sulfur conversion to SO2 in the coal and the ratio of fly ash to the total ash and slag; The standard flue gas volume, the coal consumption, the coefficient of sulfur conversion to SO2 in the coal, and the SO2 concentration in the boiler outlet flue gas are substituted into the first preset formula to calculate the received basis sulfur content corresponding to the target coal fed into the furnace. The fly ash ratio, the standard flue gas volume, the coal consumption, and the particulate matter concentration in the boiler outlet flue gas are substituted into the second preset formula to calculate the received ash content corresponding to the target coal fed into the boiler. The standard flue gas volume, the coal consumption, the volumetric moisture content of the boiler outlet flue gas, the excess air coefficient, the SO2 concentration, CO concentration, NO concentration, oxygen content, sulfur content, and ash content of the boiler outlet flue gas are substituted into a preset positive definite equation set to calculate the carbon content, hydrogen content, oxygen content, nitrogen content, and moisture content of the target coal fed into the furnace. The as-received sulfur content, as-received ash content, as-received carbon content, as-received hydrogen content, as-received oxygen content, as-received nitrogen content, and as-received moisture content corresponding to the target coal fed into the furnace are determined as the coal quality analysis results.
3. The method according to claim 2, characterized in that, The determination of the carbon dioxide emissions corresponding to the target coal-fired boiler based on the coal quality analysis results includes: Based on the received sulfur content, received ash content, received carbon content, received hydrogen content, received oxygen content, and received moisture content, calculate the carbon dioxide emission factor and activity data corresponding to the target coal fed into the furnace; Based on the carbon dioxide emission factor and activity data corresponding to the target coal-fired boiler, calculate the carbon dioxide emissions corresponding to the target coal-fired boiler.
4. The method according to claim 3, characterized in that, The multiple operational monitoring parameters also include: dust removal efficiency, slag carbon content, and fly ash carbon content; the calculation of the carbon dioxide emission factor and activity data corresponding to the target coal fed into the furnace based on the received-basis sulfur content, received-basis ash content, received-basis carbon content, received-basis hydrogen content, received-basis oxygen content, and received-basis moisture content includes: Substitute the received sulfur content, received ash content, received carbon content, received hydrogen content, received oxygen content, and received moisture content into the third preset formula to calculate the lower heating value corresponding to the target coal fed into the furnace. Substitute the standard flue gas volume, the particulate matter concentration in the boiler outlet flue gas, and the ratio of fly ash to total ash and slag into the fourth preset formula to calculate the slag production and fly ash production corresponding to the target coal fed into the furnace. The slag output, fly ash output, carbon content of slag, carbon content of fly ash, dust removal efficiency, coal consumption, as-received carbon content, and lower heating value are substituted into the fifth preset formula to calculate the carbon dioxide emission factor corresponding to the target coal fed into the furnace. Substitute the lower heating value and the amount of coal consumed into the sixth preset formula to calculate the activity data corresponding to the target coal fed into the furnace.
5. The method according to claim 1, characterized in that, The multiple operational monitoring parameters include: the standard flue gas volume corresponding to the target coal feed, the coal consumption, the volumetric moisture content of the boiler outlet flue gas, the excess air coefficient, the SO2 concentration in the boiler outlet flue gas, the CO concentration in the boiler outlet flue gas, the NO concentration in the boiler outlet flue gas, the oxygen content in the boiler outlet flue gas, the particulate matter concentration in the boiler outlet flue gas, the dust removal efficiency, the carbon content of the slag, and the carbon content of the fly ash; the determination of the carbon dioxide emissions corresponding to the target coal-fired boiler based on the emission calculation model and the multiple operational monitoring parameters includes: Abnormal data in multiple of the aforementioned operational monitoring parameters are removed. The multiple operational monitoring parameters, after being filtered out, are input into the emission calculation model to determine the carbon dioxide emissions corresponding to the target coal-fired boiler. The emission calculation model is used to determine the received-on-arrival sulfur content, received-on-arrival ash content, received-on-arrival carbon content, received-on-arrival hydrogen content, received-on-arrival oxygen content, and received-on-arrival moisture content of the target coal fed into the boiler, based on multiple operational monitoring parameters after elimination processing. It also determines the carbon dioxide emission factor and activity data corresponding to the target coal fed into the boiler based on the received-on-arrival sulfur content, received-on-arrival ash content, received-on-arrival carbon content, received-on-arrival hydrogen content, received-on-arrival oxygen content, received-on-arrival moisture content, and the multiple operational monitoring parameters after elimination processing. Finally, it determines the carbon dioxide emissions corresponding to the target coal-fired boiler based on the carbon dioxide emission factor and activity data corresponding to the target coal fed into the boiler.
6. The method according to claim 5, characterized in that, The method further includes: Obtain a training sample set, wherein the training sample set contains multiple training samples, and the training samples include a set of sample operation monitoring parameters corresponding to sample coal, sample received sulfur content, sample received ash content, sample received carbon content, sample received hydrogen content, sample received oxygen content, sample received moisture content, sample carbon dioxide emission factor, sample activity data, and sample carbon dioxide emission. The deep learning model is iteratively trained based on the aforementioned training sample set; wherein... In each round of training, it is determined whether the loss function of the deep learning model has converged; If the loss function converges, the deep learning model obtained after this round of training will be determined as the emission calculation model. If the loss function fails to converge, the model parameters of the deep learning model are optimized and adjusted according to the loss function, and the optimized deep learning model is then used to enter the next round of training.
7. A device for calculating carbon dioxide emissions from a coal-fired boiler, characterized in that, The device includes: The acquisition unit is used to acquire the current operating monitoring parameter set corresponding to the target coal fed into the furnace, wherein the current operating monitoring parameter set includes multiple operating monitoring parameters; The judgment unit is used to determine whether there is abnormal data among the multiple operation monitoring parameters; The first determining unit is used to determine the coal quality analysis result corresponding to the target coal fed into the furnace based on multiple preset formulas and multiple operating monitoring parameters when it is determined that there is no abnormal data among the multiple operating monitoring parameters, and to determine the carbon dioxide emissions corresponding to the target coal-fired boiler based on the coal quality analysis result. The second determining unit is used to determine the carbon dioxide emissions of the target coal-fired boiler based on the emission calculation model and the multiple operating monitoring parameters when it is determined that there is abnormal data among the multiple operating monitoring parameters.
8. A computer device, comprising a memory, a processor, and a computer program stored in the memory, characterized in that, The processor executes the computer program to implement the steps of the method according to any one of claims 1 to 6.
9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 6.
10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 6.