Method and system for measuring carbon emission factor of fixed combustion source

Abstract

The invention relates to the technical field of carbon emission monitoring, in particular to a fixed combustion source carbon emission factor measuring method and system. When the carbon emission factor is measured, fuel of a fixed combustion source is sampled and analyzed, and the carbon content of the fuel is obtained; the combustion process of the fuel of the fixed combustion source is monitored in real time; collecting operation data of the fixed combustion source in real time; performing data synchronization operation on the data, wherein the data synchronization specifically comprises the steps of performing timestamp formatting on the gas concentration data and the operation data; setting a time buffer area of each data point, and determining the size and range of the time buffer area; performing data synchronization operation on the gas concentration data and the operation data based on a time buffer area; in this way, the data points with the timestamps not in the buffer area of the opposite side can be processed, it is ensured that all the data points can be correctly synchronized, data loss is avoided, and meanwhile the integrity and accuracy of the data are kept.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of carbon emission monitoring, in particular to a fixed combustion source carbon emission factor measurement method and system. BACKGROUND

[0002] The petrochemical industry involves many processing devices and has a complex process, and its carbon emissions have a significant impact on the climate. In order to ensure the accurate implementation of emission reduction technology, the carbon emissions of petrochemical products need to be accurately accounted for. The carbon emission factor method is a conventional method for detecting carbon emission data, that is, by multiplying activity data (such as energy consumption, production, etc.) with the corresponding emission factor (i.e. greenhouse gas emissions per unit activity). The emission factor method is to estimate carbon emissions by multiplying activity data (such as fuel consumption) with the emission factor (the amount of carbon dioxide produced per unit of fuel combustion). This method is widely used because of its simple operation. However, the emission factor used in this method is mostly a literature value or an empirical value, which is derived from a variety of sources and has no uniform reference standard. It cannot accurately reflect the actual production process of greenhouse gas emissions, affecting the accuracy of carbon emission accounting results and causing difficulties for enterprises to implement energy-saving and carbon-reducing technologies. At the same time, there are existing technologies for calculating carbon emission factors, for example, a Chinese invention patent (CN113591009B) discloses a method and device for calculating carbon emission factors and emissions of emission sources in petrochemical product production processes. The carbon emission calculation method includes: extracting emission source data in the petrochemical product production process; dividing the emission sources into four types: fuel emission sources, power emission sources, steam emission sources, and other emission sources; calculating the carbon emission factor of each emission source according to the different types of emission sources. Then calculate the carbon emission coefficient and carbon emission according to the carbon emission factor, so as to accurately account for the carbon emissions of petrochemical products. The above scheme involves calculating carbon emission factors from multiple data sources, but the above scheme does not perform data synchronization operations on data from different sources, which can easily lead to low accuracy of calculated carbon emission factors. However, traditional data synchronization methods usually rely on simple interpolation or deletion operations, but such methods can cause data loss or introduce errors, affecting the completeness and accuracy of the data, and thus affecting the accuracy of the calculation of carbon emission factors. SUMMARY

[0003] To solve the above technical problems, the present application provides a fixed combustion source carbon emission factor measurement method and system to solve the problems existing in the prior art.

[0004] The present application provides a fixed combustion source carbon emission factor measurement method, comprising the following steps:

[0005] S1: sampling and analyzing the fuel of the fixed combustion source to obtain the carbon content of the fuel;

[0006] S2: Real-time monitoring of the combustion process of the fuel of the fixed combustion source to obtain gas concentration data of the combustion product;

[0007] S3: Real-time collection of operation data of the fixed combustion source;

[0008] S4: Data preprocessing operation on the gas concentration data of the combustion product and the operation data of the fixed combustion source;

[0009] The data preprocessing operation is data synchronization.

[0010] The data synchronization specifically comprises: time stamp formatting of the gas concentration data and the operation data; setting a time buffer for each data point and determining the size and range of the time buffer; and performing data synchronization operation on the gas concentration data and the operation data based on the time buffer.

[0011] S5: Calculating the carbon emission factor of the fixed combustion source.

[0012] Preferably, in the S4, the size of the time buffer is the interval of the minimum sampling frequency between the sampling frequency of the gas concentration data and the sampling frequency of the operation data.

[0013] Preferably, the range of the time buffer is determined by: for each data point, the time buffer is the time stamp of the data point ± (buffer size / 2).

[0014] Preferably, the data synchronization operation on the gas concentration data and the operation data based on the time buffer specifically comprises: selecting the first data point in the gas concentration data and the operation data as the starting point respectively; checking whether the time stamps of the two data points are within the time buffer of the other party, if within the buffer, adjusting the time stamps of the two data points to their average value, and marking the two data points as aligned, if not within the time buffer of both parties, selecting the data point with the earlier time stamp, adjusting its time stamp to the time stamp of the next data point, and then re-matching; repeating the above steps until all data points are processed.

[0015] Preferably, in the S2, a gas analyzer is installed at the flue gas discharge port of the fixed combustion source to real-time monitor the carbon dioxide and carbon monoxide gas concentration in the combustion product to obtain the gas concentration data.

[0016] Preferably, in the S3, the operation data of the fixed combustion source includes fuel consumption and operation time.

[0017] Preferably, the fuel consumption is collected by a fuel consumption sensor installed on a fuel delivery pipeline, and for liquid fuel, an electromagnetic flowmeter or a vortex flowmeter is selected as the fuel consumption sensor; for gaseous fuel, a thermal flowmeter or an ultrasonic flowmeter is selected as the fuel consumption sensor.

[0018] Preferably, the running time is collected by a running time sensor installed in the control system of the combustion equipment, and the running time of the combustion equipment is recorded by a timer.

[0019] Preferably, S5 is specifically:

[0020] S5.1: calculating the combustion efficiency of the fuel of the fixed combustion source;

[0021] S5.2: calculating the carbon emission factor of the fixed combustion source.

[0022] According to another aspect of the present application, a fixed combustion source carbon emission factor measurement system is provided, which adopts the fixed combustion source carbon emission factor measurement method described above, and the system comprises:

[0023] a fuel carbon content measurement module for sampling and analyzing the fuel of the fixed combustion source to obtain the carbon content of the fuel;

[0024] a combustion product measurement module for real-time monitoring of the combustion process of the fuel of the fixed combustion source to obtain gas concentration data of the combustion product;

[0025] a running data collection module for real-time collection of running data of the fixed combustion source;

[0026] a data preprocessing module for data preprocessing operation on the gas concentration data of the combustion product and the running data of the fixed combustion source;

[0027] a calculation module for calculating the carbon emission factor of the fixed combustion source.

[0028] The present application has the following technical effects:

[0029] The present application is when measuring carbon emission factor, sampling and analyzing the fuel of fixed combustion source to obtain the carbon content of the fuel; real-time monitoring the combustion process of the fuel of fixed combustion source to obtain the gas concentration data of combustion product; real-time collecting the operation data of fixed combustion source; performing data synchronization operation on the gas concentration data of combustion product and the operation data of fixed combustion source, and the data synchronization specifically comprises: performing time stamp formatting on the gas concentration data and the operation data; setting the time buffer zone of each data point and determining the size and range of the time buffer zone; performing data synchronization operation on the gas concentration data and the operation data based on the time buffer zone; in this way, the data points whose time stamps are not in the buffer zone of the other party can be processed, and all data points can be correctly synchronized, and this method avoids data loss and maintains the integrity and accuracy of data. BRIEF DESCRIPTION OF DRAWINGS

[0030] In order to more clearly illustrate the specific embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the specific embodiments or the prior art description will be briefly introduced below. Obviously, the drawings in the following description are some embodiments of the present application, and those skilled in the art can also obtain other drawings according to these drawings without creative labor.

[0031] Figure 1 is a flow chart of a fixed combustion source carbon emission factor measurement method provided by an embodiment of the present application;

[0032] Figure 2 is a flow chart of data synchronization provided by an embodiment of the present application. DETAILED DESCRIPTION

[0033] In order to make the purpose, technical scheme and advantages of the present application more clear, the technical scheme of the present application will be clearly and completely described below. Obviously, the described embodiments are only some of the embodiments of the present application, not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of the present application.

[0034] ATTACHMENT Figure 1 shows a flow chart of a fixed combustion source carbon emission factor measurement method, as shown in the attached Figure 1 A fixed combustion source carbon emission factor measurement method comprises the following steps:

[0035] S1: sampling and analyzing the fuel of the fixed combustion source to obtain the carbon content of the fuel;

[0036] In petrochemical enterprises, there are various types of fixed combustion sources, each with different functions, structures, and combustion characteristics. In this embodiment, the fixed combustion source can include:

[0037] Boiler: including steam boiler, hot water boiler, etc., mainly used for generating steam or hot water for production or living use.

[0038] Heating furnace: such as cracking furnace, tubular heating furnace, etc., mainly used for heating materials to achieve the required process temperature.

[0039] Flare: used for burning exhaust gas emissions to reduce environmental pollution.

[0040] Incinerator: used for incinerating solid waste, sludge, etc. to achieve harmless treatment of waste.

[0041] Process furnace: such as catalytic cracking regenerator, reforming reactor, etc., used for specific chemical reaction processes.

[0042] Other combustion equipment: such as gas turbine, internal combustion engine, etc., used for power generation or driving equipment.

[0043] In this step, stratified random sampling method is used to sample the fuel used by the fixed combustion source, obtaining the fuel sample of the fixed combustion source to ensure its representativeness; then the fuel sample is measured by an elemental analyzer to obtain the carbon content and other key parameters of the fuel.

[0044] S2: Real-time monitoring of the combustion process of the fuel of the fixed combustion source to obtain gas concentration data of the combustion products; A gas analyzer is installed at the flue gas discharge port of the solid combustion source to monitor the gas concentration of carbon dioxide (CO2) ), carbon monoxide (CO) and other gases in the combustion products in real time; obtaining gas concentration data.

[0046] In the measurement of carbon emission factors of fixed combustion sources in petrochemical enterprises, setting appropriate gas concentration monitoring frequency is crucial for obtaining accurate and reliable carbon emission data. The setting of monitoring frequency needs to consider the operating characteristics of the combustion source, fuel type, emission stability, and measurement cost, etc. In this embodiment, when the fixed combustion source is a continuous operation device such as a boiler or a heating furnace, it is monitored once an hour to cover different load operating conditions; when the fixed combustion source is an intermittent operation device such as a flare, incinerator, process furnace, etc., it is monitored every 10 minutes during each operation to capture the emission changes during the combustion process.

[0047] S3: Real-time collection of operating data of the fixed combustion source;

[0048] The operation data of the fixed combustion source includes fuel consumption, operation time, etc.

[0049] The fuel consumption is collected by a fuel consumption sensor installed on a fuel delivery pipeline to ensure that the fuel consumption sensor can accurately measure the flow of fuel. For liquid fuel, an electromagnetic flowmeter or a vortex flowmeter can be selected as the fuel consumption sensor; for gaseous fuel, a thermal flowmeter or an ultrasonic flowmeter can be selected as the fuel consumption sensor.

[0050] The operation time is collected by an operation time sensor installed in the control system of the combustion equipment to record the operation time of the combustion equipment by a timer.

[0051] S4: performing a data preprocessing operation on the gas concentration data of the combustion products and the operation data of the fixed combustion source;

[0052] The data preprocessing operation includes data synchronization, data correction, data denoising, and outlier processing, etc.

[0053] The core goal of the data synchronization is to accurately match the gas concentration data of the combustion products and the operation data of the fixed combustion source according to the time stamp to ensure that the time points of each data record are consistent. Traditional data synchronization methods usually rely on simple interpolation or deletion operations, but such methods may cause data loss or introduce errors. Based on the above problems, the embodiment introduces a "time buffer zone" to ensure data integrity and accuracy. Specifically, as shown in FIG. 1, the data synchronization is specifically: Figure 2

[0054] Timestamp formatting is performed on the gas concentration data and the operation data;

[0055] Since the above data is collected by different sensors, there is a problem of inconsistent timestamp formats. Therefore, the purpose of the timestamp formatting of the embodiment is to ensure that the timestamp formats of all data are consistent. For example, the timestamps of all data can be uniformly formatted as "YYYY-MM-DDHH:MM:SS".

[0056] A time buffer zone is set for each data point, and the size and range of the time buffer zone are determined;

[0057] ​The time buffer is a means for processing timestamp-incomplete data, which allows data alignment within a certain time deviation by defining a time range (buffer) for each data point, thereby improving the flexibility and accuracy of data alignment. The time buffer is a time range centered on the timestamp of a data point, usually represented as a fixed time interval before and after the timestamp. For example, if the time buffer is set to 60 seconds, then for a data point with a timestamp of 2023-10-01 00:00:30, its time buffer is 2023-10-01 00:00:30 ± 30 seconds, i.e. from 2023-10-01 00:00:00 to 2023-10-01 00:01:00.

[0058] Specifically, in this embodiment, the size of the time buffer is the interval of the minimum sampling frequency between the sampling frequency of the gas concentration data and the sampling frequency of the operation data. For example, if the minimum collection frequency in the above data is once per minute, the time buffer size can be set to 60 seconds.

[0059] The determination method of the range of the time buffer is that for each data point, its time buffer is the timestamp of the data point ± (buffer size / 2); thus, for each data point in the gas concentration data, there is a corresponding time buffer, and for each data point in the operation data, there is a corresponding time buffer.

[0060] Based on the time buffer, the gas concentration data and the operation data are subjected to data synchronization operation.

[0061] Specifically, the first data point in the gas concentration data and the operation data is selected as the starting point respectively; it is checked whether the timestamps of the two data points are within the time buffer of the other party, if within the buffer, the timestamps of the two data points are adjusted to their average value, and the two data points are marked as aligned, if not within the time buffer of both parties, the data point with the earlier timestamp is selected, its timestamp is adjusted to the timestamp of the next data point, and then the matching is performed again; the above steps are repeated until all data points are processed.

[0062] For example, the first data point from each group of data is selected as the starting point: the first data point of the gas concentration data is 2023-10-01 00:00:00, and the first data point of the running data is 2023-10-01 00:00:10. Check if the timestamp is within the other's buffer. The timestamp of the gas concentration data is 2023-10-01 00:00:00, and its time buffer is 2023-09-30 23:59:30 to 2023-10-01 00:00:30. The timestamp of the running data is 2023-10-01 00:00:10, which is within the time buffer of the gas concentration data. Because the timestamp of the running data is within the time buffer of the gas concentration data, the two data points can be aligned. We adjust their timestamps to their average value:

[0063] Average timestamp

[0064] = (2023-10-01 00:00:00 + 2023-10-01 00:00:10) / 2 = 2023-10-01 00:00:05

[0065] The aligned data points are:

[0066] Time stamp [CO2 concentration (ppm)] Fuel consumption (kg / h) Combustion temperature (°C) 2023-10-1 0:00:05 450 100 800

[0067] The next data point is processed, which is the next data point of the gas concentration data (2023-10-01 00:02:00) and the next data point of the running data (2023-10-01 00:03:10).

[0068] The timestamp of the gas concentration data is 2023-10-01 00:02:00, and its time buffer is 2023-10-01 00:01:30 to 2023-10-01 00:02:30. The timestamp of the running data is 2023-10-01 00:03:10, and its time buffer is 2023-10-01 00:02:40 to 2023-10-01 00:03:40. Neither of the two data points' timestamps is within the other's time buffer. Next, select the data point with the earlier timestamp and adjust its timestamp to the next data point's timestamp. In this case, the timestamp of the gas concentration data is earlier (2023-10-01 00:02:00), so adjust the timestamp of the gas concentration data from 2023-10-01 00:02:00 to the timestamp of the next data point, and then re-match.

[0069] In this way, data points whose timestamps are not within the other's buffer can be processed, ensuring that all data points can be correctly synchronized. This method avoids data loss while maintaining the integrity and accuracy of the data.

[0070] S5: calculating the carbon emission factor of the stationary combustion source;

[0071] The step S5 is specifically:

[0072] S5.1: calculating the combustion efficiency of the fuel of the stationary combustion source;

[0073] The combustion efficiency is calculated by the following formula:

[0074]

[0075] In the formula, the CO2 concentration and the CO concentration are both parameters obtained in step S2.

[0076] S5.2: calculating the carbon emission factor of the stationary combustion source;

[0077] The carbon emission factor of the stationary combustion source is calculated by the following formula:

[0078]

[0079] In the formula, C 燃料 is the carbon content of the fuel (in mass percentage).

[0080] In embodiment 2, the present application further provides a system for measuring the carbon emission factor of a stationary combustion source, which adopts the method for measuring the carbon emission factor of a stationary combustion source in embodiment 1, and the system comprises:

[0081] a fuel carbon content measuring module for sampling and analyzing the fuel of the stationary combustion source to obtain the carbon content of the fuel;

[0082] a combustion product measuring module for real-time monitoring of the combustion process of the fuel of the stationary combustion source to obtain the gas concentration data of the combustion product;

[0083] a running data collecting module for real-time collection of the running data of the stationary combustion source;

[0084] a data preprocessing module for data preprocessing operation on the gas concentration data of the combustion product and the running data of the stationary combustion source;

[0085] a calculating module for calculating the carbon emission factor of the stationary combustion source.

[0086] In embodiment 3, the present application further provides an electronic device comprising one or more processors and a memory.

[0087] The processor can be a central processing unit (CPU) or other form of processing unit that has data processing and / or instruction executing capabilities, and can control other components in the electronic device to perform desired functions.

[0088] The memory can include one or more computer program products that can include various forms of computer-readable storage media, such as volatile memory and / or non-volatile memory. The volatile memory, for example, can include random access memory (RAM), cache memory, and / or the like. The non-volatile memory, for example, can include read-only memory (ROM), hard disk, flash memory, and / or the like. One or more computer program instructions can be stored on the computer-readable storage media, and the processor can execute the program instructions to implement the method for measuring carbon emission factor of stationary combustion source according to any of the embodiments of the present application and / or other desired functions. Various contents, such as initial extrinsic parameters, threshold values, and the like, can also be stored in the computer-readable storage media.

[0089] In one example, the electronic device can further include an input device and an output device, which are interconnected through a bus system and / or other forms of connection mechanism (not shown). The input device can include, for example, a keyboard, a mouse, and the like. The output device can output various information, including pre-warning prompt information, braking force, and the like, to the outside. The output device can include, for example, a display, a speaker, a printer, a communication network and a remote output device connected thereto, and the like.

[0090] Of course, components such as buses, input / output interfaces, and the like are omitted for simplicity. In addition, the electronic device can include any other appropriate components according to specific application cases.

[0091] In addition to the above method and device, the embodiments of the present application can also be a computer program product including computer program instructions that, when executed by a processor, cause the processor to implement the functions of the method for measuring carbon emission factor of stationary combustion source according to any of the embodiments of the present application.

[0092] The computer program product can be written in any combination of one or more programming languages, including an object-oriented programming language such as Java, C++, and the like, and conventional procedural programming languages, such as the "C" programming language, or the like. The program code can execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device, or entirely on the remote computing device or server.

[0093] In addition, the embodiments of the present application can also be a computer readable storage medium having stored thereon computer program instructions, which, when executed by a processor, cause the processor to implement a method for measuring carbon emission factor of a fixed combustion source according to any of the embodiments of the present application.

[0094] The computer readable storage medium can employ any combination of one or more computer readable media. The computer readable medium can be a computer readable signal medium or a computer readable storage medium. The computer readable storage medium can include, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium include an electrical connection having one or more wires, a portable disc, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0095] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, and are not limited thereto; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that the technical solutions recorded in the foregoing embodiments can still be modified, or some or all of the technical features can be replaced by equivalents; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the technical solutions of the embodiments of the present application.

Claims

1. A method for measuring carbon emission factors from stationary combustion sources, characterized in that, Includes the following steps: S1: Sample and analyze the fuel from the stationary combustion source to obtain the carbon content of the fuel; S2: Real-time monitoring of the combustion process of the fuel at the fixed combustion source to obtain gas concentration data of the combustion products; S3: Real-time acquisition of the operating data of the fixed combustion source; S4: Perform data preprocessing operations on the gas concentration data of the combustion products and the operating data of the fixed combustion source; The data preprocessing operation is data synchronization; The data synchronization specifically involves: formatting the gas concentration data and the operational data with timestamps; setting a time buffer for each data point and determining the size and range of the time buffer; and performing data synchronization operations on the gas concentration data and the operational data based on the time buffer. S5: Calculate the carbon emission factor of the stationary combustion source.

2. The method for measuring carbon emission factors from stationary combustion sources according to claim 1, characterized in that: In step S4, the size of the time buffer is the interval between the sampling frequency of the gas concentration data and the minimum sampling frequency of the running data.

3. A method for measuring carbon emission factors from stationary combustion sources according to claim 1 or 2, characterized in that: The range of the time buffer is determined as follows: for each data point, the time buffer is the timestamp of that data point ± (buffer size / 2).

4. The method for measuring carbon emission factors from stationary combustion sources according to claim 1, characterized in that: The data synchronization operation based on the time buffer for the gas concentration data and the operational data specifically involves: selecting the first data point in each of the gas concentration data and operational data as the starting point; checking whether the timestamps of the two data points are within each other's time buffers; if they are within the buffers, adjusting the timestamps of the two data points to their average value and marking them as aligned; if they are not within each other's time buffers, selecting the data point with the earlier timestamp, adjusting its timestamp to the timestamp of the next data point, and then re-matching; repeating the above steps until all data points have been processed.

5. The method for measuring carbon emission factors from stationary combustion sources according to claim 1, characterized in that: In step S2, a gas analyzer is installed at the flue gas emission port of the solid combustion source to monitor the concentrations of carbon dioxide and carbon monoxide in the combustion products in real time and obtain gas concentration data.

6. The method for measuring carbon emission factors from stationary combustion sources according to claim 1, characterized in that: In S3, the operating data of the stationary combustion source includes fuel consumption and operating time.

7. The method for measuring carbon emission factors from stationary combustion sources according to claim 6, characterized in that: The fuel consumption is collected using a fuel consumption sensor installed on the fuel delivery pipeline. For liquid fuels, an electromagnetic flow meter or a vortex flow meter is selected as the fuel consumption sensor; for gaseous fuels, a thermal flow meter or an ultrasonic flow meter is selected as the fuel consumption sensor.

8. The method for measuring carbon emission factors from stationary combustion sources according to claim 1, characterized in that: The running time is collected using a running time sensor, which is installed in the control system of the combustion equipment and records the running time of the combustion equipment through a timer.

9. The method for measuring carbon emission factors from stationary combustion sources according to claim 1, characterized in that: Specifically, S5 is: S5.1: Calculate the combustion efficiency of the fuel at the fixed combustion source; S5.2: Calculate the carbon emission factor of the stationary combustion source.

10. A stationary combustion source carbon emission factor measurement system, said system employing the stationary combustion source carbon emission factor measurement method according to any one of claims 1-9, said system comprising: A fuel carbon content measurement module is used to sample and analyze the fuel from the fixed combustion source to obtain the carbon content of the fuel. The combustion product measurement module is used to monitor the combustion process of the fuel at the fixed combustion source in real time and obtain gas concentration data of the combustion products. The data acquisition module is used to collect the operating data of the fixed combustion source in real time. The data preprocessing module is used to perform data preprocessing operations on the gas concentration data of the combustion products and the operating data of the fixed combustion source. The calculation module is used to calculate the carbon emission factor of the stationary combustion source.

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