Carbon measurement uncertainty online evaluation method, system and device and medium

Abstract

The invention relates to a carbon measurement uncertainty online evaluation method, system and device and a medium. The method comprises the following steps: establishing a thermal power generating unit flue gas direct measurement method carbon measurement model; determining an uncertainty component; judging the stable operation state of the unit; establishing a flue gas CO2 concentration uncertainty evaluation model; establishing a smoke flow uncertainty evaluation model; establishing a flue gas temperature uncertainty evaluation model; establishing a smoke pressure uncertainty evaluation model; establishing a smoke humidity uncertainty evaluation model; establishing an outsourcing power uncertainty evaluation model; and establishing a thermal power generating unit flue gas direct measurement method carbon measurement uncertainty evaluation model. According to the method, the uncertainty of the thermal power generating unit during carbon metering by adopting a flue gas direct measurement method is evaluated more accurately, the credibility of a carbon metering result is evaluated scientifically, and the carbon metering accuracy is improved.

Description

Technical Field

[0001] The present invention relates to the field of carbon metering monitoring in the electric power industry, and in particular to an online evaluation method, system, electronic device and computer-readable storage medium for carbon metering uncertainty in direct flue gas measurement of thermal power units. Background Art

[0002] Carbon emissions from the power industry account for more than 40% of the country's total carbon emissions. Accelerating the improvement of accurate measurement and uncertainty assessment methods for carbon emissions from thermal power plants plays an important role in the refined supervision of carbon emissions in the power industry. In carbon measurement assessment, uncertainty is used to characterize the dispersion of carbon emissions data and also represents the credibility of the measurement results. Current research focuses on uncertainty analysis of single physical quantity measurement methods or the use of instrument factory parameters to establish uncertainty assessment methods. Considering that the measurement performance and accuracy of concentration, flow and other metering instruments installed at power plants will change after long-term operation, it is obviously inappropriate to use the instrument factory parameters for uncertainty assessment at this time.

[0003] Therefore, it is necessary to establish an uncertainty assessment method for direct measurement of carbon emissions that takes into account the systematic error of carbon metering equipment, based on the actual long-term operation of online carbon dioxide monitoring instruments in thermal power units. Summary of the invention

[0004] The purpose of the present invention is to provide a method, system, electronic device and computer-readable storage medium for online assessment of carbon measurement uncertainty, so as to more accurately assess the uncertainty of carbon measurement in thermal power units using flue gas direct measurement method, scientifically evaluate the credibility of carbon measurement results, and improve the accuracy of carbon measurement.

[0005] To achieve the above object, in a first aspect, the present invention provides an online assessment method for carbon measurement uncertainty, comprising the following specific steps:

[0006] Establish a carbon measurement model for direct flue gas measurement in thermal power plants;

[0007] Determine the uncertainty components;

[0008] Determine the stable operating status of the unit;

[0009] Establish an online assessment model for uncertainty of flue gas CO2 concentration;

[0010] Establish an online assessment model for flue gas flow uncertainty;

[0011] Establish an online assessment model for flue gas temperature uncertainty;

[0012] Establish an online assessment model for flue gas pressure uncertainty;

[0013] Establish an online assessment model for flue gas humidity uncertainty;

[0014] Establish an online assessment model for uncertainty of purchased electricity;

[0015] An online assessment model for carbon measurement uncertainty in flue gas direct measurement of thermal power units was established.

[0016] When using the flue gas direct measurement method to measure carbon emissions from thermal power units, the carbon dioxide concentration in the flue gas, flue gas flow, moisture content, temperature and pressure parameters are measured and monitored at the total flue gas emission outlet of the unit. Combined with the monitoring of emissions generated by purchased electricity during the power generation process, the carbon measurement results of the flue gas direct measurement method of the thermal power unit can be obtained, and a carbon measurement model for the flue gas direct measurement method of the thermal power unit can be established based on this.

[0017]

[0018] Where G h is the emission of carbon dioxide; P is the flue gas pressure; Q s is the wet flue gas flow rate under actual working conditions; X sw is the humidity of flue gas; t is the flue gas temperature; C s is the volume content of carbon dioxide in the flue gas; AD is the purchased electricity; EF is the carbon emission factor of the power grid.

[0019] According to the carbon measurement model of direct measurement of flue gas in thermal power units, it is determined that the uncertainty of carbon measurement by direct measurement of flue gas in thermal power units comes from the uncertainty introduced in the measurement process of flue gas CO2 concentration, flue gas flow, temperature, humidity, pressure and purchased electricity measurement elements. The measurement uncertainty of each type of measuring element consists of two parts: one part is the uncertainty caused by repeated measurements of instruments corresponding to each measurement parameter, which is Type A uncertainty; the other part is the uncertainty caused by the inherent characteristics of the equipment itself, which is Type B uncertainty.

[0020] The carbon emission monitoring system is used to collect and record the real-time power load, flue gas CO2 concentration, flue gas flow, moisture content, temperature and pressure data of the generator set every 10 seconds, and then determine whether the unit is in a relatively stable state according to the following method: Starting from 00:00:00 every day, calculate the arithmetic average value of the power load of the unit every 5 minutes thereafter , when any load pi deviates from the arithmetic mean within the 5 minutes If none of them exceeds ±1%Pe (rated load of the unit), the unit is considered to be in a relatively stable state, and the flue gas CO2 concentration, flue gas flow rate, moisture content, temperature and pressure data every 30 seconds within the 5 minutes are used as basic data to calculate the Class A uncertainty re-evaluation of the flue gas CO2 concentration, flue gas flow rate, moisture content, temperature and pressure under the current operating conditions; if the unit is not in a relatively stable state within the 5 minutes, the Class A uncertainty re-evaluation of the flue gas CO2 concentration, flue gas flow rate, moisture content, temperature and pressure will no longer be carried out within the 5 minutes, and the Class A uncertainty results of the flue gas CO2 concentration, flue gas flow rate, moisture content, temperature and pressure under the previous relatively stable state will continue to be used, so as to achieve the purpose of online evaluation of Class A uncertainty of flue gas CO2 concentration, flue gas flow rate, moisture content, temperature and pressure.

[0021] The flue gas CO2 concentration uncertainty assessment model is specifically established as a flue gas CO2 concentration Class A uncertainty online assessment model.

[0022]

[0023] In the formula, C s.i is the i-th flue gas CO2 concentration measurement data; It is the arithmetic mean of the measurement results of flue gas CO2 concentration for the 5 minutes;

[0024] Class B uncertainty assessment principles and models for flue gas CO2 concentration,

[0025] The first step is to establish a regular reference calibration mechanism for flue gas CO2 concentration measuring elements. Every quarter, a third-party agency will conduct on-site reference tests using standard measuring elements to measure the overall error of the flue gas CO2 concentration measurement system for the next quarter. ,

[0026] The second step is to use the current flue gas CO2 concentration to measure the overall system error , perform the Class B uncertainty assessment according to the following formula (3):

[0027]

[0028] The third step is to use the new measurement system overall error measured by the reference calibration test after the flue gas CO2 concentration measuring element is recalibrated. , re-evaluate the Class B uncertainty according to the above formula (3), so as to achieve the purpose of regular re-evaluation of Class B uncertainty of flue gas CO2 concentration.

[0029] (3) Principles and models for evaluating the uncertainty of flue gas CO2 concentration synthesis

[0030] The latest uncertainty assessment results of flue gas CO2 concentration type A and B are used to assess the synthetic uncertainty of flue gas CO2 concentration according to the following formula (4).

[0031]

[0032] The establishment of the flue gas flow uncertainty assessment model is specifically as follows:

[0033] (1) Principles and models for class A uncertainty assessment of flue gas flow

[0034] The uncertainty assessment principle of flue gas flow type A is consistent with that of flue gas CO2 concentration, and the two are carried out simultaneously. The assessment model is shown in the following formula (5):

[0035]

[0036] In the formula, Q s.i is the i-th flue gas flow measurement data; is the arithmetic mean of the 5-minute smoke flow measurement results,

[0037] (2) Principles and models for evaluating uncertainty of flue gas flow type B

[0038] The principles and steps for evaluating the uncertainty of flue gas flow type B are consistent with those of flue gas CO2 concentration, and the two are carried out simultaneously. The evaluation model is shown in the following formula (6):

[0039]

[0040] (3) Principles and models for evaluating flue gas flow rate uncertainty

[0041] The evaluation principle of flue gas flow rate synthesis uncertainty is consistent with that of flue gas CO2 concentration, and the two are carried out simultaneously. The evaluation model is shown in the following formula (7):

[0042]

[0043] The establishment of the flue gas temperature uncertainty assessment model is specifically as follows:

[0044] (1) Class A uncertainty assessment principles and models for flue gas temperature

[0045] The evaluation principle of Class A uncertainty of flue gas temperature is consistent with that of flue gas CO2 concentration, and the two are carried out simultaneously. The evaluation model is shown in equation (8).

[0046]

[0047] Where, t i is the ith flue gas temperature measurement data, ℃; is the arithmetic mean of the 5-minute flue gas temperature measurement results.

[0048] (2) Principles and models for evaluating Class B uncertainty of flue gas temperature

[0049] The principles and steps for evaluating Type B uncertainty of flue gas temperature are consistent with those for flue gas CO2 concentration, and the two are carried out simultaneously. The evaluation model is shown in equation (9).

[0050]

[0051] (3) Flue gas temperature synthesis uncertainty assessment principle and model

[0052] The evaluation principle of flue gas temperature composite uncertainty is consistent with that of flue gas CO2 concentration, and the two are carried out simultaneously. The evaluation model is shown in the following formula (10):

[0053]

[0054] Establishment of uncertainty evaluation model for flue gas pressure

[0055] (1) Principles and models for class A uncertainty assessment of flue gas pressure

[0056] The evaluation principle of flue gas pressure Class A uncertainty is consistent with that of flue gas CO2 concentration, and the two are carried out simultaneously. The evaluation model is shown in equation (11).

[0057]

[0058] In the formula, p i is the i-th flue gas pressure measurement data, pa; It is the arithmetic mean of the 5-minute smoke pressure measurement results, pa.

[0059] (2) Principles and models for evaluating type B uncertainty of flue gas pressure

[0060] The principles and steps for evaluating Type B uncertainty of flue gas pressure are consistent with those for flue gas CO2 concentration, and the two are carried out simultaneously. The evaluation model is shown in equation (12).

[0061]

[0062] (3) Principles and models for evaluating flue gas pressure synthesis uncertainty

[0063] The evaluation principle of flue gas pressure composite uncertainty is consistent with that of flue gas CO2 concentration, and the two are carried out simultaneously. The evaluation model is shown in formula (13).

[0064]

[0065] Establishment of uncertainty evaluation model for flue gas humidity

[0066] (1) Class A uncertainty assessment principles and models for flue gas humidity

[0067] The uncertainty assessment principle of flue gas humidity Class A is consistent with that of flue gas CO2 concentration, and the two are carried out simultaneously. The assessment model is shown in equation (14).

[0068]

[0069] Where, X sw.i is the i-th flue gas humidity measurement data, %; It is the arithmetic mean of the smoke humidity measurement results for the 5 minutes, %.

[0070] (2) Class B uncertainty assessment principles and models for flue gas humidity

[0071] The principles and steps for evaluating Class B uncertainty of flue gas humidity are consistent with those for flue gas CO2 concentration, and the two are carried out simultaneously. The evaluation model is shown in equation (15).

[0072]

[0073] (3) Principles and models for evaluating the synthetic uncertainty of flue gas humidity

[0074] The evaluation principle of the synthetic uncertainty of flue gas humidity is consistent with that of flue gas CO2 concentration, and the two are carried out simultaneously. The evaluation model is shown in formula (16).

[0075]

[0076] Establishment of uncertainty assessment model for purchased electricity

[0077] (1) Uncertainty assessment principles and models for Class A purchased power

[0078] The uncertainty assessment principle of Class A purchased electricity is consistent with the assessment principle of flue gas CO2 concentration, and the two are carried out simultaneously. The assessment model is shown in formula (17).

[0079]

[0080] In the formula, AD i is the i-th outsourced power measurement data, MW; It is the arithmetic mean of the purchased electricity measurement results for the 5 minutes, MW.

[0081] (2) Uncertainty assessment principles and models for purchased power Class B

[0082] The principles and steps for evaluating the uncertainty of purchased electricity Class B are consistent with those for flue gas CO2 concentration, and the two are carried out simultaneously. The evaluation model is shown in equation (18).

[0083]

[0084] (3) Uncertainty assessment principles and models for purchased power synthesis

[0085] The principle of uncertainty assessment for purchased power synthesis is consistent with that for flue gas CO2 concentration, and the two are carried out simultaneously. The assessment model is shown in equation (19).

[0086]

[0087] Establishment of uncertainty assessment model for carbon measurement in flue gas direct measurement of thermal power units

[0088] The uncertainty of carbon measurement in direct flue gas measurement of thermal power units is obtained by evaluating the uncertainty of each component separately and then synthesizing the uncertainty of each component.

[0089] The combined uncertainty of carbon measurement in direct flue gas of thermal power units is calculated using the following formula (20).

[0090]

[0091] The relative uncertainty of carbon measurement in direct flue gas of thermal power units is calculated according to the following formula (21).

[0092]

[0093] Where: u r (G h ) is the relative uncertainty of carbon measurement by direct measurement of flue gas of thermal power units; u(G h ) is the combined uncertainty of carbon measurement by direct measurement method in flue gas of thermal power units, t / h; It is the arithmetic mean of carbon emissions from flue gas direct measurement method corresponding to the above 5-minute time period.

[0094] In a second aspect, the present invention provides an online assessment system for carbon measurement uncertainty, comprising a memory and a processor, wherein the memory stores a computer program executable on the processor, and when the computer program is executed by the processor, the steps of the online assessment method for carbon measurement uncertainty as described above are implemented.

[0095] In a third aspect, the present invention provides an electronic device, comprising a memory and a processor, wherein the memory stores a computer program that can be run on the processor, and when the computer program is executed by the processor, the steps of the online assessment method of carbon measurement uncertainty as described above are implemented.

[0096] In a fourth aspect, the present invention provides a computer-readable storage medium, which stores a dual-trusted authentication system for carbon emission data, and the dual-trusted authentication system for carbon emission data can be executed by at least one processor so that the at least one processor performs the steps of the online assessment method of carbon measurement uncertainty as described above.

[0097] The beneficial effects of adopting the above embodiment are:

[0098] More accurately assess the uncertainty of carbon metering in thermal power units using the direct flue gas measurement method, scientifically evaluate the credibility of carbon metering results, and improve the accuracy of carbon metering. BRIEF DESCRIPTION OF THE DRAWINGS

[0099] Figure 1 A flow chart of the method provided for this application. DETAILED DESCRIPTION

[0100] In order to make the purpose, technical scheme and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0101] It should be noted that the descriptions of "first", "second", etc. in the present invention are only used for descriptive purposes and cannot be understood as indicating or implying their relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In addition, the technical solutions between the various embodiments can be combined with each other, but they must be based on the ability of ordinary technicians in the field to implement them. When the combination of technical solutions is contradictory or cannot be implemented, it should be deemed that such a combination of technical solutions does not exist and is not within the scope of protection required by the present invention.

[0102] like Figure 1 As shown, the present invention provides an online evaluation method for carbon measurement uncertainty, comprising the following specific steps:

[0103] Establish a carbon measurement model for direct flue gas measurement in thermal power plants;

[0104] Determine the uncertainty components;

[0105] Determine the stable operating status of the unit;

[0106] Establish an online assessment model for uncertainty of flue gas CO2 concentration;

[0107] Establish an online assessment model for flue gas flow uncertainty;

[0108] Establish an online assessment model for flue gas temperature uncertainty;

[0109] Establish an online assessment model for flue gas pressure uncertainty;

[0110] Establish an online assessment model for flue gas humidity uncertainty;

[0111] Establish an online assessment model for uncertainty of purchased electricity;

[0112] An online assessment model for carbon measurement uncertainty in flue gas direct measurement of thermal power units was established.

[0113] When using the flue gas direct measurement method to measure carbon emissions from thermal power units, the carbon dioxide concentration in the flue gas, flue gas flow, moisture content, temperature and pressure parameters are measured and monitored at the total flue gas emission outlet of the unit. Combined with the monitoring of emissions generated by purchased electricity during the power generation process, the carbon measurement results of the flue gas direct measurement method of the thermal power unit can be obtained, and a carbon measurement model for the flue gas direct measurement method of the thermal power unit can be established based on this.

[0114]

[0115] Where G h is the emission of carbon dioxide; P is the flue gas pressure; Q s is the wet flue gas flow rate under actual working conditions; X sw is the humidity of flue gas; t is the flue gas temperature; C s is the volume content of carbon dioxide in the flue gas; AD is the purchased electricity; EF is the carbon emission factor of the power grid.

[0116] According to the carbon measurement model of direct measurement of flue gas in thermal power units, it is determined that the uncertainty of carbon measurement by direct measurement of flue gas in thermal power units comes from the uncertainty introduced in the measurement process of flue gas CO2 concentration, flue gas flow, temperature, humidity, pressure and purchased electricity measurement elements. The measurement uncertainty of each type of measuring element consists of two parts: one part is the uncertainty caused by repeated measurements of instruments corresponding to each measurement parameter, which is Type A uncertainty; the other part is the uncertainty caused by the inherent characteristics of the equipment itself, which is Type B uncertainty.

[0117] The carbon emission monitoring system is used to collect and record the real-time power load, flue gas CO2 concentration, flue gas flow, moisture content, temperature and pressure data of the generator set every 10 seconds, and then determine whether the unit is in a relatively stable state according to the following method: Starting from 00:00:00 every day, calculate the arithmetic average value of the power load of the unit every 5 minutes thereafter , when any load pi deviates from the arithmetic mean within the 5 minutes If none of them exceeds ±1%Pe (rated load of the unit), the unit is considered to be in a relatively stable state, and the flue gas CO2 concentration, flue gas flow rate, moisture content, temperature and pressure data every 30 seconds within the 5 minutes are used as basic data to calculate the Class A uncertainty re-evaluation of the flue gas CO2 concentration, flue gas flow rate, moisture content, temperature and pressure under the current operating conditions; if the unit is not in a relatively stable state within the 5 minutes, the Class A uncertainty re-evaluation of the flue gas CO2 concentration, flue gas flow rate, moisture content, temperature and pressure will no longer be carried out within the 5 minutes, and the Class A uncertainty results of the flue gas CO2 concentration, flue gas flow rate, moisture content, temperature and pressure under the previous relatively stable state will continue to be used, so as to achieve the purpose of online evaluation of Class A uncertainty of flue gas CO2 concentration, flue gas flow rate, moisture content, temperature and pressure.

[0118] The flue gas CO2 concentration uncertainty assessment model is specifically established as a flue gas CO2 concentration Class A uncertainty online assessment model.

[0119]

[0120] In the formula, C s.i is the i-th flue gas CO2 concentration measurement data; It is the arithmetic mean of the measurement results of flue gas CO2 concentration for the 5 minutes;

[0121] Class B uncertainty assessment principles and models for flue gas CO2 concentration,

[0122] The first step is to establish a regular reference calibration mechanism for flue gas CO2 concentration measuring elements. Every quarter, a third-party agency will conduct on-site reference tests using standard measuring elements to measure the overall error of the flue gas CO2 concentration measurement system for the next quarter. ,

[0123] The second step is to use the current flue gas CO2 concentration to measure the overall system error , perform the Class B uncertainty assessment according to the following formula (3):

[0124]

[0125] The third step is to use the new measurement system overall error measured by the reference calibration test after the flue gas CO2 concentration measuring element is recalibrated. , re-evaluate the Class B uncertainty according to the above formula (3), so as to achieve the purpose of regular re-evaluation of Class B uncertainty of flue gas CO2 concentration.

[0126] (3) Principles and models for evaluating the uncertainty of flue gas CO2 concentration synthesis

[0127] The latest uncertainty assessment results of flue gas CO2 concentration type A and B are used to assess the synthetic uncertainty of flue gas CO2 concentration according to the following formula (4).

[0128]

[0129] The establishment of the flue gas flow uncertainty assessment model is specifically as follows:

[0130] (1) Principles and models for class A uncertainty assessment of flue gas flow

[0131] The uncertainty assessment principle of flue gas flow type A is consistent with that of flue gas CO2 concentration, and the two are carried out simultaneously. The assessment model is shown in the following formula (5):

[0132]

[0133] In the formula, Q s.i is the i-th flue gas flow measurement data; is the arithmetic mean of the 5-minute smoke flow measurement results,

[0134] (2) Principles and models for evaluating uncertainty of flue gas flow type B

[0135] The principles and steps for evaluating the uncertainty of flue gas flow type B are consistent with those of flue gas CO2 concentration, and the two are carried out simultaneously. The evaluation model is shown in the following formula (6):

[0136]

[0137] (3) Principles and models for evaluating flue gas flow rate uncertainty

[0138] The evaluation principle of flue gas flow rate synthesis uncertainty is consistent with that of flue gas CO2 concentration, and the two are carried out simultaneously. The evaluation model is shown in the following formula (7):

[0139]

[0140] The establishment of the flue gas temperature uncertainty assessment model is specifically as follows:

[0141] (1) Class A uncertainty assessment principles and models for flue gas temperature

[0142] The evaluation principle of Class A uncertainty of flue gas temperature is consistent with that of flue gas CO2 concentration, and the two are carried out simultaneously. The evaluation model is shown in equation (8).

[0143]

[0144] In the formula, t i is the ith flue gas temperature measurement data, ℃; is the arithmetic mean of the 5-minute flue gas temperature measurement results.

[0145] (2) Principles and models for evaluating Class B uncertainty of flue gas temperature

[0146] The principles and steps for evaluating Type B uncertainty of flue gas temperature are consistent with those for flue gas CO2 concentration, and the two are carried out simultaneously. The evaluation model is shown in equation (9).

[0147]

[0148] (3) Flue gas temperature synthesis uncertainty assessment principle and model

[0149] The evaluation principle of flue gas temperature composite uncertainty is consistent with that of flue gas CO2 concentration, and the two are carried out simultaneously. The evaluation model is shown in the following formula (10):

[0150]

[0151] Establishment of uncertainty evaluation model for flue gas pressure

[0152] (1) Principles and models for class A uncertainty assessment of flue gas pressure

[0153] The evaluation principle of flue gas pressure Class A uncertainty is consistent with that of flue gas CO2 concentration, and the two are carried out simultaneously. The evaluation model is shown in equation (11).

[0154]

[0155] In the formula, p i is the i-th flue gas pressure measurement data, pa; It is the arithmetic mean of the 5-minute smoke pressure measurement results, pa.

[0156] (2) Principles and models for evaluating type B uncertainty of flue gas pressure

[0157] The principles and steps for evaluating Type B uncertainty of flue gas pressure are consistent with those for flue gas CO2 concentration, and the two are carried out simultaneously. The evaluation model is shown in equation (12).

[0158]

[0159] (3) Principles and models for evaluating flue gas pressure synthesis uncertainty

[0160] The evaluation principle of flue gas pressure composite uncertainty is consistent with that of flue gas CO2 concentration, and the two are carried out simultaneously. The evaluation model is shown in formula (13).

[0161]

[0162] Establishment of uncertainty evaluation model for flue gas humidity

[0163] (1) Class A uncertainty assessment principles and models for flue gas humidity

[0164] The uncertainty assessment principle of flue gas humidity Class A is consistent with that of flue gas CO2 concentration, and the two are carried out simultaneously. The assessment model is shown in equation (14).

[0165]

[0166] In the formula, X sw.i is the i-th flue gas humidity measurement data, %; It is the arithmetic mean of the smoke humidity measurement results for the 5 minutes, %.

[0167] (2) Class B uncertainty assessment principles and models for flue gas humidity

[0168] The principles and steps for evaluating Class B uncertainty of flue gas humidity are consistent with those for flue gas CO2 concentration, and the two are carried out simultaneously. The evaluation model is shown in equation (15).

[0169]

[0170] (3) Principles and models for evaluating the synthetic uncertainty of flue gas humidity

[0171] The evaluation principle of the synthetic uncertainty of flue gas humidity is consistent with that of flue gas CO2 concentration, and the two are carried out simultaneously. The evaluation model is shown in formula (16).

[0172]

[0173] Establishment of uncertainty assessment model for purchased electricity

[0174] (1) Uncertainty assessment principles and models for Class A purchased power

[0175] The uncertainty assessment principle of Class A purchased electricity is consistent with the assessment principle of flue gas CO2 concentration, and the two are carried out simultaneously. The assessment model is shown in formula (17).

[0176]

[0177] In the formula, AD i is the i-th outsourced power measurement data, MW; It is the arithmetic mean of the purchased electricity measurement results for the 5 minutes, MW.

[0178] (2) Uncertainty assessment principles and models for purchased power Class B

[0179] The principles and steps for evaluating the uncertainty of purchased electricity Class B are consistent with those for flue gas CO2 concentration, and the two are carried out simultaneously. The evaluation model is shown in equation (18).

[0180]

[0181] (3) Uncertainty assessment principles and models for purchased power synthesis

[0182] The principle of uncertainty assessment for purchased power synthesis is consistent with that for flue gas CO2 concentration, and the two are carried out simultaneously. The assessment model is shown in equation (19).

[0183]

[0184] Establishment of uncertainty assessment model for carbon measurement in direct flue gas of thermal power units

[0185] The uncertainty of carbon measurement in direct flue gas measurement of thermal power units is obtained by evaluating the uncertainty of each component separately and then synthesizing the uncertainty of each component.

[0186] The combined uncertainty of carbon measurement in direct flue gas of thermal power units is calculated using the following formula (20).

[0187]

[0188] The relative uncertainty of carbon measurement in flue gas of thermal power units by direct measurement is calculated according to the following formula (21).

[0189]

[0190] Where: u r (G h ) is the relative uncertainty of carbon measurement by direct measurement of flue gas of thermal power units; u(G h ) is the combined uncertainty of carbon measurement by direct measurement method in flue gas of thermal power units, t / h; It is the arithmetic mean of carbon emissions from flue gas direct measurement method corresponding to the above 5-minute time period.

[0191] In a second aspect, the present invention provides an online assessment system for carbon measurement uncertainty, comprising a memory and a processor, wherein the memory stores a computer program executable on the processor, and when the computer program is executed by the processor, the steps of the online assessment method for carbon measurement uncertainty as described above are implemented.

[0192] In a third aspect, the present invention provides an electronic device, comprising a memory and a processor, wherein the memory stores a computer program that can be run on the processor, and when the computer program is executed by the processor, the steps of the online assessment method of carbon measurement uncertainty as described above are implemented.

[0193] In a fourth aspect, the present invention provides a computer-readable storage medium, which stores a dual-trusted authentication system for carbon emission data, and the dual-trusted authentication system for carbon emission data can be executed by at least one processor so that the at least one processor performs the steps of the online assessment method of carbon measurement uncertainty as described above.

[0194] Taking a typical 660MW coal-fired power generation unit as an example, the power plant installed a flue gas direct measurement carbon metering terminal at the chimney position, including flue gas CO2 concentration measurement elements, flue gas flow, flue gas temperature, flue gas pressure, flue gas humidity and other measurement elements; the purchased electricity is measured by the electric meter configured by the power plant, the purchased electricity is 0, and the uncertainty of the purchased electricity is not considered; the power plant is also equipped with a carbon emission monitoring and management system, which can collect the unit carbon emission related operating parameters in real time. The specific implementation steps of the present invention are described in detail below:

[0195] In this example, it is determined that the unit is in a relatively stable state during the time period of 09:45-09:50 on May 11, 2024.

[0196] In the example, the uncertainty of flue gas CO2 concentration is 0.0562% for type A, 0.3741% for type B, and 0.3783% for combined uncertainty.

[0197] In the example, the uncertainty of flue gas flow rate type A is 6.60km3 / h, the uncertainty of type B is 40.33km3 / h, and the combined uncertainty is 40.869363km3 / h.

[0198] In this example, the uncertainty of flue gas temperature is 0.00996℃ for type A and 0.604℃ for type B, and the combined uncertainty is 0.928129℃.

[0199] In the example, the uncertainty of flue gas pressure type A is 0.928Pa, the uncertainty of type B is 0.022Pa, and the combined uncertainty is 0.0007Pa.

[0200] In the example, the uncertainty of flue gas humidity in type A is 0.02%, the uncertainty of type B is 0.07%, and the combined uncertainty is 0.604568%.

[0201] In this example, the combined uncertainty of carbon measurement of the unit using the flue gas direct measurement method during the time period of 09:45-09:50 on May 11, 2024 is 11.385t / h, and the relative uncertainty is 4.114%.

[0202] Those skilled in the art may implement the present invention in a variety of variations without departing from the scope and essence of the present invention, such as using a feature of one embodiment to obtain another embodiment. Any modification, equivalent substitution and improvement made within the technical concept of the present invention shall be within the scope of the present invention.

Claims

1. A method for online assessment of carbon measurement uncertainty, characterized in that: The specific steps include: Establish a carbon measurement model for direct flue gas measurement in thermal power plants; Determine the uncertainty components; Determine the stable operating status of the unit; Establish an online assessment model for uncertainty of flue gas CO2 concentration; Establish an online assessment model for flue gas flow uncertainty; Establish an online assessment model for flue gas temperature uncertainty; Establish an online assessment model for flue gas pressure uncertainty; Establish an online assessment model for flue gas humidity uncertainty; Establish an online assessment model for uncertainty of purchased electricity; An online assessment model for carbon measurement uncertainty in flue gas direct measurement of thermal power units was established.

2. The method for online assessment of carbon measurement uncertainty according to claim 1, characterized in that: When using the flue gas direct measurement method to measure carbon emissions from thermal power units, the carbon dioxide concentration in the flue gas, flue gas flow, moisture content, temperature and pressure parameters are measured and monitored at the total flue gas emission outlet of the unit. Combined with the monitoring of emissions generated by purchased electricity during the power generation process, the carbon measurement results of the flue gas direct measurement method of the thermal power unit can be obtained, and a carbon measurement model for the flue gas direct measurement method of the thermal power unit can be established based on this. Where G h is the emission of carbon dioxide; P is the flue gas pressure; Q s is the wet flue gas flow rate under actual working conditions; X sw is the humidity of flue gas; t is the flue gas temperature; C s is the volume content of carbon dioxide in the flue gas; AD is the purchased electricity; EF is the carbon emission factor of the power grid.

3. The method for online assessment of carbon measurement uncertainty according to claim 2, characterized in that: According to the carbon measurement model of direct measurement of flue gas in thermal power units, it is determined that the uncertainty of carbon measurement by direct measurement of flue gas in thermal power units comes from the uncertainty introduced in the measurement process of flue gas CO2 concentration, flue gas flow, temperature, humidity, pressure and purchased electricity measurement elements. The measurement uncertainty of each type of measuring element consists of two parts: one part is the uncertainty caused by repeated measurements of instruments corresponding to each measurement parameter, which is Type A uncertainty; the other part is the uncertainty caused by the inherent characteristics of the equipment itself, which is Type B uncertainty.

4. The method for online assessment of carbon measurement uncertainty according to claim 3, characterized in that: The flue gas CO2 concentration uncertainty assessment model is specifically established as a flue gas CO2 concentration Class A uncertainty online assessment model. In the formula, C s.i is the i-th flue gas CO2 concentration measurement data; It is the arithmetic mean of the measurement results of flue gas CO2 concentration for the 5 minutes; Class B uncertainty assessment principles and models for flue gas CO2 concentration, The first step is to establish a regular reference calibration mechanism for flue gas CO2 concentration measuring elements. Every quarter, a third-party agency will conduct on-site reference tests using standard measuring elements to measure the overall error of the flue gas CO2 concentration measurement system for the next quarter. The second step is to use the current flue gas CO2 concentration to measure the overall system error The Type B uncertainty evaluation is performed according to the following formula (3): The third step is to use the new measurement system overall error measured by the reference calibration test after the flue gas CO2 concentration measuring element is recalibrated. According to the above formula (3), the Class B uncertainty is reassessed to achieve the purpose of regular reassessment of the Class B uncertainty of flue gas CO2 concentration. (3) Principles and models for evaluating the uncertainty of flue gas CO2 concentration synthesis The latest uncertainty assessment results of flue gas CO2 concentration type A and B are used to assess the synthetic uncertainty of flue gas CO2 concentration according to the following formula (4).

5. The method for online assessment of carbon measurement uncertainty according to claim 1, characterized in that: The establishment of the flue gas flow uncertainty assessment model is specifically as follows: (1) Principles and models for class A uncertainty assessment of flue gas flow The uncertainty assessment principle of flue gas flow type A is consistent with that of flue gas CO2 concentration, and the two are carried out simultaneously. The assessment model is shown in the following formula (5): In the formula, Q s.i is the i-th flue gas flow measurement data; is the arithmetic mean of the 5-minute smoke flow measurement results, (2) Principles and models for evaluating uncertainty of flue gas flow type B The principles and steps for evaluating the uncertainty of flue gas flow type B are consistent with those of flue gas CO2 concentration, and the two are carried out simultaneously. The evaluation model is shown in the following formula (6): (3) Principles and models for evaluating flue gas flow rate uncertainty The evaluation principle of flue gas flow rate synthesis uncertainty is consistent with that of flue gas CO2 concentration, and the two are carried out simultaneously. The evaluation model is shown in the following formula (7):

6. The method for online assessment of carbon measurement uncertainty according to claim 5, characterized in that: The establishment of the flue gas temperature uncertainty assessment model is specifically as follows: (1) Class A uncertainty assessment principles and models for flue gas temperature The evaluation principle of flue gas temperature Class A uncertainty is consistent with that of flue gas CO2 concentration, and the two are carried out simultaneously. The evaluation model is shown in the following formula (8): Where, t i is the i-th flue gas temperature measurement data; is the arithmetic mean of the 5-minute flue gas temperature measurement results. (2) Principles and models for evaluating Class B uncertainty of flue gas temperature The principles and steps for evaluating the uncertainty of flue gas temperature type B are consistent with those for flue gas CO2 concentration, and the two are performed simultaneously. The evaluation model is shown in the following formula (9): (3) Flue gas temperature synthesis uncertainty assessment principle and model The evaluation principle of flue gas temperature composite uncertainty is consistent with that of flue gas CO2 concentration, and the two are carried out simultaneously. The evaluation model is shown in the following formula (10): Establishment of uncertainty evaluation model for flue gas pressure (1) Class A uncertainty assessment principles and models for flue gas pressure The evaluation principle of flue gas pressure type A uncertainty is consistent with that of flue gas CO2 concentration, and the two are carried out simultaneously. The evaluation model is shown in the following formula (11): Where, pi is the i-th flue gas pressure measurement data, is the arithmetic mean of the 5-minute smoke pressure measurement results. (2) Principles and models for evaluating type B uncertainty of flue gas pressure The principles and steps for evaluating the uncertainty of flue gas pressure type B are consistent with those for flue gas CO2 concentration, and the two are performed simultaneously. The evaluation model is shown in the following formula (12): (3) Principles and models for evaluating flue gas pressure synthesis uncertainty The evaluation principle of flue gas pressure synthesis uncertainty is consistent with that of flue gas CO2 concentration, and the two are carried out simultaneously. The evaluation model is shown in the following formula (13): Establishment of uncertainty evaluation model for flue gas humidity (1) Class A uncertainty assessment principles and models for flue gas humidity The uncertainty assessment principle of flue gas humidity type A is consistent with that of flue gas CO2 concentration, and the two are carried out simultaneously. The assessment model is shown in the following formula (14): Where, X sw.i is the i-th flue gas humidity measurement data, is the arithmetic mean of the 5-minute smoke humidity measurement results. (2) Class B uncertainty assessment principles and models for flue gas humidity The principles and steps for evaluating the uncertainty of flue gas humidity type B are consistent with those for flue gas CO2 concentration, and the two are performed simultaneously. The evaluation model is shown in the following formula (15): (3) Principles and models for evaluating the synthetic uncertainty of flue gas humidity The evaluation principle of flue gas humidity synthesis uncertainty is consistent with that of flue gas CO2 concentration, and the two are carried out simultaneously. The evaluation model is shown in the following formula (16): Establishment of uncertainty assessment model for purchased electricity (1) Uncertainty assessment principles and models for Class A purchased power The uncertainty assessment principle of purchased power type A is consistent with that of flue gas CO2 concentration, and the two are carried out simultaneously. The assessment model is shown in the following formula (17): In the formula, AD i is the i-th outsourced power measurement data, is the arithmetic mean of the 5-minute purchased electricity measurement results, (2) Uncertainty assessment principles and models for purchased power Class B The principles and steps for evaluating the uncertainty of purchased power type B are consistent with those of flue gas CO2 concentration, and the two are carried out simultaneously. The evaluation model is shown in the following formula (18): (3) Uncertainty assessment principles and models for purchased power synthesis The evaluation principle of the uncertainty of purchased power synthesis is consistent with the evaluation principle of flue gas CO2 concentration, and the two are carried out simultaneously. The evaluation model is shown in the following formula (19): Establishment of uncertainty assessment model for carbon measurement in direct flue gas of thermal power units The uncertainty of carbon measurement in direct flue gas measurement of thermal power units is obtained by evaluating the uncertainty of each component separately and then synthesizing the uncertainty of each component. The combined uncertainty of carbon measurement in direct flue gas of thermal power units is calculated using the following formula (20). The relative uncertainty of carbon measurement in direct flue gas of thermal power units is calculated according to the following formula (21): Where: u r (G h ) is the relative uncertainty of carbon measurement by direct measurement of flue gas of thermal power units; u(G h ) is the combined uncertainty of carbon measurement by direct measurement of flue gas from thermal power units, It is the arithmetic mean of carbon emissions from flue gas direct measurement method corresponding to the above 5-minute time period.

7. An online assessment system for carbon measurement uncertainty, characterized in that: The method comprises a memory and a processor, wherein the memory stores a computer program executable on the processor, and when the computer program is executed by the processor, the steps of the online assessment method for uncertainty in carbon measurement as claimed in any one of claims 1 to 6 are implemented.

8. An electronic device, characterized in that: The electronic device includes a memory and a processor. The memory stores a computer program that can be run on the processor. When the computer program is executed by the processor, the steps of the online assessment method of carbon measurement uncertainty as described in any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the on-line assessment method for carbon measurement uncertainty according to any one of claims 1 to 6 are implemented.

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