Online measurement method and system for emission concentration of carbon dioxide in flue gas of generator set

Abstract

The invention provides an online measurement method and system for the emission concentration of carbon dioxide in flue gas of a generator set. The method comprises the following steps: measuring the volume concentration of carbon dioxide in flue gas through a non-dispersive infrared absorption spectrum technology; performing numerical conversion according to the dry flue gas flow and the carbon dioxide volume concentration in the standard state, and calculating to obtain the emission rate of carbon dioxide; and performing time weighted integration on the carbon dioxide emission rate by combining the generating capacity and the power of the generator set to obtain the total carbon dioxide emission amount in a given time period. The non-dispersive infrared spectrum technology is combined with dynamic calibration and multi-measuring-point measurement, the problems that traditional sampling efficiency is low and data lags behind are solved, and meanwhile accurate monitoring and management of carbon emission are achieved through anti-interference optimization and power generation load association.

Description

Technical Field

[0001] The present application relates to the technical field of flue gas emission monitoring, and in particular to an online measurement method and system for carbon dioxide emission concentration in flue gas from a generator set. Background Art

[0002] Online monitoring of CO2 concentration in coal-fired power plant flue gas is crucial for energy conservation and emission reduction within power plant units and the establishment of a carbon trading market. By accurately measuring CO2 concentration and combining it with flue gas flow, the unit's CO2 emissions can be accurately calculated, providing data guidance for optimizing boiler combustion processes, improving energy efficiency, and achieving emission reduction targets. Furthermore, CO2 emission concentration monitoring data forms the basis for calculating and trading carbon allowances in the carbon trading market. This data is crucial for implementing carbon emission accounting and compliance management, and for improving the economic efficiency and market competitiveness of coal-fired power plants. Currently, the main methods used to measure carbon dioxide gas content include electrochemical, thermal conductivity, capacitance, solid dielectric, and infrared absorption. Compared to other measurement methods, infrared absorption is widely used in measuring flue gas composition in thermal power plants. Its system is similar to the existing flue gas monitoring systems used to measure sulfur dioxide and nitrogen oxides in thermal power plants. Thermal power plants can utilize existing sampling and preprocessing systems to measure carbon dioxide by adding appropriate analyzers or adding corresponding measurement components to the analyzers. Furthermore, carbon dioxide measurement data can be incorporated into the thermal power plant's flue gas monitoring system (CEMS) and transmitted to the distributed control system (DCS), enabling real-time data monitoring, automatic statistics, and alarms.

[0003] Flue gas analyzers use the non-dispersive infrared absorption method. The flue gas sampling point is located on the chimney. The flue gas sampling probe heats the flue gas, takes a sample, and then sends it to the instrument analysis cabinet through a sampling tube. The instrument analysis cabinet removes moisture from the flue gas using a cooler and peristaltic pump before sending the flue gas to the analyzer for analysis and measurement. The measured data is then sent to the PLC and flue gas monitoring system for calculation and statistics. Most of these methods are single-point testing methods, requiring point-by-point sampling. This results in lengthy measurement times, making rapid online monitoring impossible. Furthermore, measurement accuracy is easily affected by environmental interference, making them difficult to apply to high-temperature flue gas testing environments. Spectroscopic methods include fluorescence and infrared absorption spectroscopy. Among them, infrared absorption spectroscopy has attracted widespread attention due to its strong selectivity, high sensitivity, fast response speed and non-invasiveness. However, when the operating conditions deteriorate and the combustion is incomplete, there will be more particulate matter in the exhaust gas, and the weight of the scattering principle will be reduced. Optical components are easily affected by dust.

[0004] Currently, the calculation of carbon dioxide emissions from thermal power units is mostly based on indirect accounting methods, which involve large amounts of data and can result in significant deviations in the results. Most thermal power plants' CEMS systems primarily monitor parameters such as sulfur dioxide, carbon monoxide, nitrogen oxides, smoke, and flue gas volume generated during the power plant's production process. Few thermal power plants utilize the carbon dioxide component added to the CEMS analyzer to measure carbon emissions. Summary of the Invention

[0005] The present application provides a method and system for online measurement of carbon dioxide emission concentration in flue gas of a generator set, which can solve the technical problems existing in the prior art such as low efficiency of traditional single-point sampling, data lag, and disconnection between emission accounting and power generation load.

[0006] In a first aspect, the present application provides a method for online measurement of carbon dioxide emission concentration in flue gas of a generator set, comprising the following steps: The volume concentration of carbon dioxide in flue gas is measured by non-dispersive infrared absorption spectroscopy; The carbon dioxide emission rate is calculated by performing numerical transformation based on the dry flue gas flow rate and carbon dioxide volume concentration under standard conditions; Combined with the power generation and power of the generator set, the time-weighted integral of the carbon dioxide emission rate is performed to obtain the total carbon dioxide emissions in a given time period.

[0007] Furthermore, the method of measuring the volume concentration of carbon dioxide in flue gas by non-dispersive infrared absorption spectroscopy specifically includes the following steps: Real-time calibration of infrared light source measurement drift through dynamic reference optical path; Correction factors are used to compensate for the Rayleigh-Mie scattering effect of dust and moisture in the flue gas, and the light intensity signals of the two channels in the compensated dynamic reference light path are obtained; The volume concentration of carbon dioxide in the flue gas is calculated based on the light intensity signals of the two channels in the compensated dynamic reference light path using the modified formula of the Lambert-Beer law.

[0008] Furthermore, the dynamic reference optical path includes a measurement channel and a reference channel, the measurement channel is used to capture the light intensity signal of the characteristic absorption band of carbon dioxide, and the reference channel is used to detect the light intensity signal of the characteristic non-absorption band of carbon dioxide.

[0009] Furthermore, the correction factor compensates for the Rayleigh-Mie scattering effect of dust and moisture in the flue gas, as shown in the following formula:

[0010] Where, is the Rayleigh scattering coefficient, is the Mie scattering coefficient, is the finite path length that the light traverses.

[0011] Furthermore, the volume concentration of carbon dioxide in the flue gas is calculated based on the light intensity signals of the two channels in the compensated dynamic reference light path using the modified formula of the Lambert-Beer law, as shown in the following formula:

[0012] Where, For the wavelength The light signal detected by the light, For the wavelength The light signal detected by the light, wavelength The initial emission intensity of the light, wavelength The initial emission intensity of the light, For gases at wavelengths Absorption intensity under infrared light, For gases at wavelengths Absorption intensity under infrared light, is the volume concentration of carbon dioxide gas, is the finite path length that the light traverses.

[0013] Furthermore, the dry flue gas flow rate under the standard state The calculation formula is as follows:

[0014] Where, is the flue gas flow rate, is the flow coefficient, is atmospheric pressure, is the flue gas static pressure, A is the chimney cross-sectional area, is the flue gas temperature.

[0015] Furthermore, the total amount of carbon dioxide emissions The calculation formula is as follows:

[0016] Where, is the number of measuring points of the carbon dioxide measuring instrument, is the number of infrared absorption spectrum measurement points, is the density of carbon dioxide gas, For gases at wavelengths Absorption intensity under infrared light, For gases at wavelengths Absorption intensity under infrared light, is the volume concentration of carbon dioxide gas, is the total amount of generators, is the generator power, is the integration starting time, is the integration end time.

[0017] Furthermore, before measuring the volume concentration of carbon dioxide in the flue gas by non-dispersive infrared absorption spectroscopy, the method further includes the following steps: The flue gas is pre-treated, including filtering and dust removal and drying of the condensate.

[0018] In a second aspect, the present application provides an online measurement system for carbon dioxide emission concentration in flue gas from a generator set, comprising: A carbon dioxide volume concentration acquisition module is used to measure the volume concentration of carbon dioxide in flue gas using non-dispersive infrared absorption spectroscopy technology; a carbon dioxide emission rate acquisition module, which is in communication with the carbon dioxide volume concentration acquisition module and is used to perform numerical conversion based on the dry flue gas flow rate and the carbon dioxide volume concentration under standard conditions to calculate and obtain the carbon dioxide emission rate; The total carbon dioxide emission acquisition module is in communication with the carbon dioxide emission rate acquisition module and is used to perform time-weighted integration on the carbon dioxide emission rate in combination with the power generation and power of the generator set to obtain the total carbon dioxide emissions in a given time period.

[0019] In a third aspect, the present application provides a computer-readable storage medium, on which is stored an online measurement program for the carbon dioxide emission concentration in the flue gas of a generator set. When the online measurement program for the carbon dioxide emission concentration in the flue gas of a generator set is executed by a processor, the steps of the online measurement method for the carbon dioxide emission concentration in the flue gas of a generator set as described above are implemented.

[0020] The beneficial effects of the technical solutions provided in the embodiments of the present application include at least: The technical solution of this application achieves accurate calculation of the total amount of carbon dioxide emissions within a specific time period by measuring the carbon dioxide concentration in the flue gas in real time online, calculating the emission rate in combination with the dynamic flue gas flow rate, and correlating it with the operating data of the generator set; This application uses non-dispersive infrared absorption spectroscopy technology combined with dynamic reference calibration and single-beam dual-wavelength method to achieve rapid online measurement of multiple measurement points, effectively overcoming the problems of low efficiency and delayed data update of traditional single-point sampling, and significantly improving the real-time and continuity of monitoring; By optimizing the measurement technology, the interference of dust and moisture in the flue gas on the measurement results is reduced, ensuring the accuracy and reliability of the data; By dynamically linking emission data with power generation load, synchronous analysis of carbon emissions and production processes is achieved, providing a scientific basis for power plant operation optimization, energy conservation and emission reduction, and participation in carbon trading, and greatly improving the level of refined carbon management. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 A flow chart of an online measurement method for carbon dioxide emission concentration in flue gas from a generator set provided in an embodiment of the present application; Figure 2 This is a functional module block diagram of the online measurement system for carbon dioxide emission concentration in flue gas from a generator set provided in an embodiment of the present application; Figure 3 This is a schematic diagram of the structure of the full-process device for online measurement of carbon dioxide emission concentration in flue gas from a generator set provided in an embodiment of the present application. DETAILED DESCRIPTION

[0022] In order to enable those skilled in the art to better understand the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0023] The terms "including" and "having" and any variations thereof in the specification and claims of this application and the above-mentioned drawings are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally includes steps or units that are not listed, or optionally includes other steps or units inherent to these processes, methods, products or devices. The terms "first", "second" and "third" are used to distinguish different objects, etc., and do not represent a sequence, nor do they limit the "first", "second" and "third" to different types.

[0024] In the description of the embodiments of this application, the words "exemplary," "for example," or "for example" are used to indicate examples, illustrations, or descriptions. Any embodiment or design described as "exemplary," "for example," or "for example" in the embodiments of this application should not be construed as being preferred or advantageous over other embodiments or designs. Rather, the use of words such as "exemplary," "for example," or "for example" is intended to present the relevant concepts in a concrete manner.

[0025] In the description of the embodiments of the present application, unless otherwise specified, “ / ” means or, for example, A / B can mean A or B; “and / or” in the text is merely a description of the association relationship of associated objects, indicating that three relationships may exist, for example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone. In addition, in the description of the embodiments of the present application, “multiple” refers to two or more than two.

[0026] In some processes described in the embodiments of the present application, multiple operations or steps are included that appear in a specific order. However, it should be understood that these operations or steps may not be performed in the order in which they appear in the embodiments of the present application or may be performed in parallel. The sequence numbers of the operations are only used to distinguish between different operations, and the sequence numbers themselves do not represent any order of execution. In addition, these processes may include more or fewer operations, and these operations or steps may be performed in sequence or in parallel, and these operations or steps may be combined.

[0027] In order to make the objectives, technical solutions and advantages of this application clearer, the implementation methods of this application will be further described in detail below with reference to the accompanying drawings.

[0028] First, as Figure 1 As shown, the present application provides an online measurement method for carbon dioxide emission concentration in flue gas of a generator set, comprising the following steps: Step S1: measuring the volume concentration of carbon dioxide in the flue gas by non-dispersive infrared absorption spectroscopy; Step S2: performing numerical transformation based on the dry flue gas flow rate and the carbon dioxide volume concentration under standard conditions to calculate and obtain the carbon dioxide emission rate; Step S3: Combine the power generation and power of the generator set to perform a time-weighted integral on the carbon dioxide emission rate to obtain the total amount of carbon dioxide emissions in a given time period.

[0029] The technical solution of this application achieves accurate accounting of the total amount of carbon dioxide emissions within a specific time period by measuring the carbon dioxide concentration in the flue gas in real time online, combining it with the dynamic flue gas flow to calculate the emission rate, and correlating it with the operating data of the generator set. This effectively overcomes the problems of low efficiency and delayed data update of traditional single-point sampling, and significantly improves the real-time and continuity of monitoring. By optimizing measurement technology, we reduce the interference of dust and moisture in flue gas on measurement results, ensuring data accuracy and reliability. Furthermore, by dynamically linking emission data with power generation load, we enable simultaneous analysis of carbon emissions and production processes. This provides a scientific basis for optimizing power plant operations, energy conservation and emission reduction, and participation in carbon trading, significantly enhancing the level of refined carbon management.

[0030] In one embodiment, before the step S1: measuring the volume concentration of carbon dioxide in the flue gas by non-dispersive infrared absorption spectroscopy, the following steps are further included: Step S0: Pre-treat the flue gas, including filtering and dust removal and drying the condensate to eliminate the effects of dust and moisture, i.e. , wavelength Correction factor for infrared light, wavelength Correction factor for infrared light.

[0031] In one embodiment, the step S1 of measuring the volume concentration of carbon dioxide in the flue gas by non-dispersive infrared absorption spectroscopy specifically includes the following steps: Step S11: real-time calibration of infrared light source measurement drift is performed through a dynamic reference optical path; further, the dynamic reference optical path includes a measurement channel and a reference channel, the measurement channel is used to capture the light intensity signal of the characteristic absorption band of carbon dioxide, and the reference channel is used to detect the light intensity signal of the characteristic non-absorption band of carbon dioxide; Step S12: Use the correction factor to compensate for the Rayleigh-Mie scattering effect of dust and moisture in the flue gas, and obtain the light intensity signals of the two channels in the compensated dynamic reference light path; specifically, the measurement principle of non-dispersive infrared (NDIR) absorption spectroscopy technology is to detect the gas concentration by using the absorption characteristics of gas molecules to infrared light of a specific wavelength. A wide-spectrum infrared light is emitted by an infrared light source and passes through the gas to be measured. The gas molecules will absorb infrared light of a specific wavelength. Then, the light passes through a filter that only allows infrared light of a specific wavelength to pass through and reaches the detector. According to the attenuation degree of the intensity of the infrared light of a specific wavelength before and after passing through the gas, the concentration of the gas can be calculated according to the Lambert-Beer law.

[0032] Where, and Wavelength The incident and transmitted intensity of infrared light, The wavelength of the gas Absorption coefficient of infrared light; is the concentration of the gas to be measured; is the finite path length that the light travels; However, since the actual flue gas contains dust and moisture, a correction factor is introduced into the above formula. , which is used to compensate for the Rayleigh-Mie scattering effect of dust and moisture in the flue gas. The calculation formula is as follows:

[0033]

[0034] Where, is the Rayleigh scattering coefficient, is the Mie scattering coefficient, is the finite path length that the light travels; Step S13: Based on the light intensity signals of the two channels in the compensated dynamic reference optical path, the volume concentration of carbon dioxide in the flue gas is calculated using the modified formula of the Lambert-Beer law. Specifically, when measuring CO2 concentration based on non-dispersive infrared absorption spectroscopy, CO2 has strong absorption in the 4.26um band, but the absorbance is significantly affected by temperature changes. This is mainly because temperature changes cause changes in intermolecular forces, which in turn causes absorbance to change with temperature, affecting the accuracy of the infrared absorption spectroscopy measurement instrument. To this end, this paper adopts dynamic reference technology, adding a reference optical path to perform real-time reference calibration measurements, thereby solving the problem of temperature drift and improving the system monitoring accuracy and stability. The designed sensor adopts a single-beam dual-wavelength method. The infrared light emitted by the light source is absorbed by the flue gas in the gas chamber and then received by the detector. The detector has two sensing windows: the measurement channel and the reference channel, equipped with filters with center wavelengths λ1 = 4.26um and λ2 = 3.9um, respectively. The light intensity signals obtained by the two channels are: and They are shown as follows:

[0035] From the infrared absorption spectrum of CO2, it can be seen that it mainly absorbs infrared radiation in the band around 4.26μm, and almost does not absorb infrared radiation in the band around 3.9μm, so α(λ2)≈0. In the actual application of CO2 concentration sensor, the flue gas needs to be pre-treated by filtering dust removal and condensation and water removal to eliminate the influence of dust and moisture. It can be seen that through the single-beam dual-wavelength method, using the ratio method, the CO2 concentration can be accurately obtained in theory, which is independent of the performance of the sensor system components. It can basically eliminate the influence of light source radiation intensity changes, optical component contamination and detector drift, greatly improving the stability of the sensor. The volume concentration of carbon dioxide in the flue gas is calculated based on the light intensity signals obtained from the two channels, as shown in the following formula:

[0036] Where, For the wavelength The light signal detected by the light, For the wavelength The light signal detected by the light, wavelength The initial emission intensity of the light, wavelength The initial emission intensity of the light, For gases at wavelengths Absorption intensity under infrared light, For gases at wavelengths Absorption intensity under infrared light, is the volume concentration of carbon dioxide gas, is the finite path length that the light traverses.

[0037] This application uses a dynamic reference optical path to calibrate the measurement drift of the infrared light source in real time, combines a correction factor to compensate for the Rayleigh-Mie scattering effect of dust and moisture in the flue gas, and finally calculates the corrected formula of the Lambert-Beer law to achieve accurate online measurement of the volume concentration of carbon dioxide in the flue gas.

[0038] In one embodiment, the dry flue gas flow rate under standard conditions in step S2 is The calculation formula is as follows:

[0039] Where, is the flue gas flow rate, is the flow coefficient, is atmospheric pressure, is the flue gas static pressure, A is the chimney cross-sectional area, is the flue gas temperature.

[0040] In one embodiment, step S2 performs numerical transformation based on the dry flue gas flow rate and the carbon dioxide volume concentration under standard conditions to calculate and obtain the carbon dioxide emission rate, which is specifically implemented as follows: According to the volume concentration of carbon dioxide, the mass concentration of carbon dioxide is calculated as shown below:

[0041] Where ρ is the mass concentration of carbon dioxide in dry flue gas under standard conditions (273K, 101.325kPa), ; The volume concentration of carbon dioxide in the flue gas measured by the analytical instrument, in %; The carbon dioxide emission rate is calculated by performing numerical transformation based on the dry flue gas flow rate and carbon dioxide volume concentration under standard conditions, as shown in the following formula:

[0042] Where, is the carbon dioxide emission rate, in ; is the carbon dioxide concentration in dry flue gas, in units of ; is the dry flue gas flow rate under standard conditions, in units of .

[0043] In one embodiment, step S3: combining the power generation and power of the generator set to perform a time-weighted integration on the carbon dioxide emission rate to obtain the total amount of carbon dioxide emissions in a given time period, is specifically implemented as follows: Set the thermostat temperature to 40°-50°, and the flow rate to 1L / min. After ventilation for a period of time, periodically record the corresponding current value output by the signal adapter board for integration calculation, introduce high-purity nitrogen for purging, and change the temperature after the purging is completed to conduct concentration measurement experiments at different temperature points; specifically, set the thermostat temperature to 45 degrees, and the flow rate to 1L / min. After ventilation for 3 minutes, record the corresponding current value output by the signal adapter board every 15 seconds for integration calculation, introduce high-purity nitrogen for purging, and change the temperature after the purging is completed to conduct concentration measurement experiments at different temperature points; The carbon dioxide emissions of the generator set are calculated by taking the weighted average of the carbon dioxide gas concentration in the flue gas measured by the two methods and the power generation in the time period. , the total amount of carbon dioxide emissions The calculation formula is as follows:

[0044] Where, is the number of measuring points of the carbon dioxide measuring instrument, is the number of infrared absorption spectrum measurement points, is the density of carbon dioxide gas, For gases at wavelengths Absorption intensity under infrared light, For gases at wavelengths Absorption intensity under infrared light, is the volume concentration of carbon dioxide gas, is the total amount of generators, is the generator power, is the integration starting time, is the integration end time.

[0045] The online measurement method for flue gas carbon dioxide emission concentration from a generator set, provided in this application, can monitor the unit's carbon dioxide emission rate in real time, calculate the unit's daily and cumulative carbon emissions, and transmit the relevant data to the grid dispatch center. This not only provides reference data for carbon capture and storage technologies, but also provides accurate data for carbon trading and low-carbon power plant compensation. Furthermore, it can provide reliable data on carbon emissions at both the power plant and grid dispatch centers.

[0046] The online measurement method for CO2 emissions in generator flue gas, provided in this application, is highly accurate and reliable. It offers low error (e.g., an absolute error of no more than ±0.5%) and high data reliability, meeting stringent standards. The flue gas analyzer and infrared absorption method provide cross-verification, improving data accuracy under complex operating conditions (e.g., incomplete combustion, poor coal quality, varying blending ratios, and significant variations in coal type).

[0047] The online measurement method for carbon dioxide emission concentration in flue gas from generator sets provided in this application is automated and low-maintenance. Unattended: The system operates automatically, reducing the frequency of manual sampling and laboratory analysis, thereby lowering labor costs.

[0048] The online measurement method for carbon dioxide emission concentration in the flue gas of the generator set provided in this application performs multi-parameter collaborative analysis, combines the flue gas temperature, pressure, flow and other parameters, comprehensively calculates the emission amount, and improves the comprehensiveness of the data.

[0049] The online measurement method for carbon dioxide emission concentration in flue gas from generator sets provided in this application complies with domestic and international standards (such as HJ 870-2017, DL / T 2376-2021, etc.) and supports the transition from the verification method to the actual measurement method.

[0050] The online measurement method for carbon dioxide emission concentration in the flue gas of generator sets provided in this application supports carbon trading and supervision, provides an accurate basis for carbon quota accounting and carbon trading, and meets the regulatory requirements of environmental protection departments. It fully records historical data and stores it in encrypted form, supports auditing and traceability, responds to environmental inspections more efficiently, and avoids the risk of data falsification.

[0051] The online measurement method for carbon dioxide emission concentration in flue gas of a generator set provided in this application has a high degree of automation and is integrated with a continuous flue gas monitoring system (CEMS) to realize automatic data collection, processing and transmission, thereby reducing human intervention and errors.

[0052] The online measurement method for carbon dioxide emission concentration in flue gas of a generator set provided in this application is economical and efficient. The cost of modifying the existing CEMS system to add a CO2 monitoring module is low, and the maintenance is simple, making it suitable for large-scale promotion.

[0053] Second, as Figure 2As shown, the present application provides an online measurement system for the carbon dioxide emission concentration in the flue gas of a generator set, including a carbon dioxide volume concentration acquisition module, a carbon dioxide emission rate acquisition module and a carbon dioxide total emission acquisition module; the carbon dioxide volume concentration acquisition module 100 is used to measure the volume concentration of carbon dioxide in the flue gas by non-dispersive infrared absorption spectroscopy technology; the carbon dioxide emission rate acquisition module 200 is communicated with the carbon dioxide volume concentration acquisition module 100, and is used to perform numerical transformation based on the dry flue gas flow and carbon dioxide volume concentration under standard conditions, and calculate and obtain the carbon dioxide emission rate; the total carbon dioxide emission acquisition module 300 is communicated with the carbon dioxide emission rate acquisition module 200, and is used to perform time-weighted integration on the carbon dioxide emission rate in combination with the power generation and power of the generator set, and obtain the total carbon dioxide emissions in a given time period.

[0054] Among them, the functional implementation of each module in the above-mentioned online measurement system of carbon dioxide emission concentration in generator set flue gas corresponds to the various steps in the above-mentioned embodiment of the online measurement method of carbon dioxide emission concentration in generator set flue gas, and its functions and implementation processes will not be repeated here one by one.

[0055] In one embodiment, the present application provides a schematic diagram of the full-process device structure of an online measurement system for carbon dioxide emission concentration in flue gas of a generator set. Figure 3 As shown, after exiting the chimney, the flue gas undergoes dehumidification with a desiccant and cooling in a cooling chamber (water cooling), separating and discharging the condensed water. After stabilizing its temperature in a constant temperature chamber, the flue gas undergoes optical testing. Infrared light emitted by a light source is split into two paths by a spectroscope: measurement light and reference light. Both paths pass through filters to eliminate interfering wavelengths before being received and analyzed by a photodetector. The system uses a dynamic reference optical path to calibrate infrared light source measurement drift in real time, enabling accurate online detection of copper dioxide emission concentrations in the flue gas. The treated exhaust gas is then discharged from the exhaust port.

[0056] In a third aspect, an embodiment of the present application provides an online measurement device for the concentration of carbon dioxide emissions in the flue gas of a generator set. The online measurement device for the concentration of carbon dioxide emissions in the flue gas of a generator set can be a personal computer (PC), a laptop computer, a server, or other device with data processing capabilities.

[0057] Communication interfaces include input / output (I / O), physical, and logical interfaces, which interconnect components within the online measurement device for CO2 emissions in generator set flue gas. They also connect the device to other devices (such as other computing devices or user devices). Physical interfaces can include Ethernet, fiber, or ATM interfaces; user devices can include displays and keyboards.

[0058] The memory can be various types of storage media, such as random access memory (RAM), read-only memory (ROM), non-volatile RAM (NVRAM), flash memory, optical storage, hard disk, programmable ROM (PROM), erasable PROM (EPROM), electrically erasable PROM (EEPROM), etc.

[0059] The processor may be a general-purpose processor that can invoke a program for online measurement of the concentration of carbon dioxide emissions in the flue gas of a generator set stored in a memory and execute the method for online measurement of the concentration of carbon dioxide emissions in the flue gas of a generator set provided in the embodiments of the present application. For example, the general-purpose processor may be a central processing unit (CPU). The method executed when the program for online measurement of the concentration of carbon dioxide emissions in the flue gas of a generator set is invoked can be referenced from the various embodiments of the method for online measurement of the concentration of carbon dioxide emissions in the flue gas of a generator set provided in the present application and will not be further described here.

[0060] In a fourth aspect, an embodiment of the present application also provides a readable storage medium.

[0061] The readable storage medium of the present application stores an online measurement program for the concentration of carbon dioxide emissions in the flue gas of a generator set, wherein when the online measurement program for the concentration of carbon dioxide emissions in the flue gas of a generator set is executed by a processor, the steps of the online measurement method for the concentration of carbon dioxide emissions in the flue gas of a generator set as described above are implemented.

[0062] Among them, the method implemented when the online measurement program of carbon dioxide emission concentration in the flue gas of the generator set is executed can refer to the various embodiments of the online measurement method of carbon dioxide emission concentration in the flue gas of the generator set of this application, and will not be repeated here.

[0063] It should be noted that the serial numbers of the above-mentioned embodiments of the present application are for description only and do not represent the advantages or disadvantages of the embodiments.

[0064] Through the description of the above embodiments, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus the necessary general hardware platform. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of this application, or the part that contributes to the existing technology, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) as described above and includes a number of instructions for enabling a terminal device to execute the methods described in each embodiment of this application.

[0065] The above are only preferred embodiments of the present application and do not limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made using the contents of the present application specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present application.

Claims

1. A method for online measurement of carbon dioxide emission concentration in flue gas from a generator set, characterized in that: The following steps are involved: The volume concentration of carbon dioxide in flue gas is measured by non-dispersive infrared absorption spectroscopy; The carbon dioxide emission rate is calculated by performing numerical transformation based on the dry flue gas flow rate and carbon dioxide volume concentration under standard conditions; Combined with the power generation and power of the generator set, the time-weighted integral of the carbon dioxide emission rate is performed to obtain the total carbon dioxide emissions in a given time period.

2. The method for online measurement of carbon dioxide emission concentration in flue gas from a generator set according to claim 1, characterized in that: The method of measuring the volume concentration of carbon dioxide in flue gas by non-dispersive infrared absorption spectroscopy specifically includes the following steps: Real-time calibration of infrared light source measurement drift through dynamic reference optical path; Correction factors are used to compensate for the Rayleigh-Mie scattering effect of dust and moisture in the flue gas, and the light intensity signals of the two channels in the compensated dynamic reference light path are obtained; The volume concentration of carbon dioxide in the flue gas is calculated based on the light intensity signals of the two channels in the compensated dynamic reference light path using the modified formula of the Lambert-Beer law.

3. The method for online measurement of carbon dioxide emission concentration in flue gas from a generator set according to claim 2, characterized in that: The dynamic reference optical path includes a measurement channel and a reference channel. The measurement channel is used to capture the light intensity signal of the characteristic absorption band of carbon dioxide, and the reference channel is used to detect the light intensity signal of the characteristic non-absorption band of carbon dioxide.

4. The method for online measurement of carbon dioxide emission concentration in flue gas from a generator set according to claim 2, characterized in that: The correction factor compensates for the Rayleigh-Mie scattering effect of dust and moisture in the flue gas, as shown in the following formula: Where, is the Rayleigh scattering coefficient, is the Mie scattering coefficient, is the finite path length that the light traverses.

5. The method for online measurement of carbon dioxide emission concentration in flue gas from a generator set according to claim 2, characterized in that: The volume concentration of carbon dioxide in the flue gas is calculated based on the light intensity signals of the two channels in the compensated dynamic reference light path using the modified formula of the Lambert-Beer law, as shown in the following formula: Where, For the wavelength The light signal detected by the light, For the wavelength The light signal detected by the light, wavelength The initial emission intensity of the light, wavelength The initial emission intensity of the light, For gases at wavelengths Absorption intensity under infrared light, For gases at wavelengths Absorption intensity under infrared light, is the volume concentration of carbon dioxide gas, is the finite path length that the light traverses.

6. The method for online measurement of carbon dioxide emission concentration in flue gas from a generator set according to claim 1, characterized in that: Dry flue gas flow under the standard conditions The calculation formula is as follows: Where, is the flue gas flow rate, is the flow coefficient, is atmospheric pressure, is the flue gas static pressure, A is the chimney cross-sectional area, is the flue gas temperature.

7. The method for online measurement of carbon dioxide emission concentration in flue gas from a generator set according to claim 1, characterized in that: The total amount of carbon dioxide emissions The calculation formula is as follows: Where, is the number of measuring points of the carbon dioxide measuring instrument, is the number of infrared absorption spectrum measurement points, is the density of carbon dioxide gas, For gases at wavelengths Absorption intensity under infrared light, For gases at wavelengths Absorption intensity under infrared light, is the volume concentration of carbon dioxide gas, is the total amount of generators, is the generator power, is the integration starting time, is the integration end time.

8. The method for online measurement of carbon dioxide emission concentration in flue gas from a generator set according to claim 1, characterized in that: Before measuring the volume concentration of carbon dioxide in the flue gas by non-dispersive infrared absorption spectroscopy, the method further includes the following steps: The flue gas is pre-treated, including filtering and dust removal and drying of the condensate.

9. An online measurement system for carbon dioxide emission concentration in flue gas of a generator set, characterized in that: include: A carbon dioxide volume concentration acquisition module is used to measure the volume concentration of carbon dioxide in flue gas using non-dispersive infrared absorption spectroscopy technology; a carbon dioxide emission rate acquisition module, which is in communication with the carbon dioxide volume concentration acquisition module and is used to perform numerical conversion based on the dry flue gas flow rate and the carbon dioxide volume concentration under standard conditions to calculate and obtain the carbon dioxide emission rate; The total carbon dioxide emission acquisition module is in communication with the carbon dioxide emission rate acquisition module and is used to perform time-weighted integration on the carbon dioxide emission rate in combination with the power generation and power of the generator set to obtain the total carbon dioxide emissions in a given time period.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a program for online measurement of the concentration of carbon dioxide emissions in the flue gas of a generator set, wherein when the program for online measurement of the concentration of carbon dioxide emissions in the flue gas of a generator set is executed by a processor, the steps of the method for online measurement of the concentration of carbon dioxide emissions in the flue gas of a generator set as described in any one of claims 1 to 7 are implemented.

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