On-line monitoring system for organic fuel blending combustion of coal-fired boiler and electronic equipment

Abstract

The invention relates to the technical field of coal-fired boilers, in particular to an on-line monitoring system and electronic equipment for blending combustion of organic fuel in a coal-fired boiler, and the system comprises a collection assembly which is used for collecting component data of various fuels before and after blending combustion of the boiler, and the various fuels comprise fuel, organic fuel and mixed fuel, the component data comprises a lower calorific value, moisture and ash content; the detection assembly is used for monitoring operation state change data after boiler combustion, and the operation state change data comprise the fly ash carbon content and the exhaust gas temperature; and the processing assembly is in communication connection with the acquisition assembly and the detection assembly and is used for calculating the carbon emission of the organic fuel according to the component data of the various fuels before and after the blending combustion of the boiler and the operation state change data after the combustion of the boiler. Therefore, the problems that in the prior art, in the organic fuel blending combustion process of a coal-fired boiler, due to the fact that fuel components are changeable, carbon emission metering is inaccurate and economical efficiency evaluation is difficult, the blending combustion process cannot be monitored in real time, and efficient and economical operation cannot be achieved are solved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of coal-fired boilers, and in particular to an online monitoring system for coal-fired boilers burning organic fuel and an electronic device. BACKGROUND

[0002] In actual engineering applications, coal-fired boilers burning organic fuel (such as biomass) still face many technical problems. First, organic fuel has a wide source, and its element composition, moisture, ash content, and heat value have large differences and frequent fluctuations, resulting in unstable fuel composition entering the furnace. Second, the existing technology lacks online and rapid detection means for organic fuel and its mixed fuel composition, making it difficult to real-time master the fuel quality changes and affecting the combustion optimization control. More importantly, since key operating parameters such as fly ash carbon content and flue gas temperature rely on offline sampling or periodic detection, continuous monitoring cannot be achieved, resulting in a lag in the calculation of boiler efficiency changes, coal consumption increments, and carbon dioxide emissions, and insufficient accuracy, which cannot meet the real-time and accuracy requirements of carbon trading for emission data.

[0003] At the same time, the economic evaluation of the blending process has long relied on empirical estimation or static models, without fully considering the impact of fuel composition fluctuations on boiler efficiency, auxiliary power consumption, and pollution control costs, resulting in large deviations in cost and benefit estimates, and failing to provide scientific basis for decisions such as whether to carry out blending, blending ratio optimization, etc. Therefore, the existing technology has obvious shortcomings in fuel composition monitoring, real-time carbon emission measurement, and dynamic economic evaluation, which seriously restricts the safe, efficient, and economic blending of organic fuel in coal-fired boilers. SUMMARY

[0004] The present application provides an online monitoring system for coal-fired boilers burning organic fuel and an electronic device to solve the problems of real-time monitoring and efficient and economic operation of the blending process caused by the variability of fuel composition, inaccurate carbon emission measurement, and difficulty in economic evaluation in the process of blending organic fuel in coal-fired boilers in related technologies.

[0005] The first aspect embodiment of the present application provides an online monitoring system for coal-fired boilers burning organic fuel, comprising: an acquisition component for acquiring composition data of multiple fuels before and after blending in the boiler, wherein the multiple fuels include the coal, the organic fuel, and the mixed fuel, and the composition data includes low heat value, moisture, and ash content; a detection component for monitoring operating state change data after the boiler burns, wherein the operating state change data includes fly ash carbon content and flue gas temperature; and a processing component in communication connection with the acquisition component and the detection component, for calculating the carbon emission of the organic fuel according to the composition data of the multiple fuels before and after blending in the boiler and the operating state change data after the boiler burns.

[0006] Optionally, the collecting component comprises: a first on-line sampling and analyzing device arranged on the coal feed path, a second on-line sampling and analyzing device arranged on the organic fuel feed path, and a third on-line sampling and analyzing device arranged on the pulverized coal pipeline at the outlet of the coal mill, wherein the first on-line sampling and analyzing device is configured to acquire the composition data of the coal in real time; the second on-line sampling and analyzing device is configured to acquire the composition data of the organic fuel in real time; and the third on-line sampling and analyzing device is configured to acquire the composition data of the mixed fuel in real time.

[0007] Optionally, the detecting component comprises: a plurality of fly ash sampling points arranged in the air preheater outlet flue in a grid method, a fly ash carbon content analyzer arranged in the air preheater outlet flue and connected to the processing component, and a plurality of temperature sensors arranged in the air preheater outlet flue in a grid method.

[0008] Optionally, the processing component is further configured to acquire the carbon emission of the organic fuel, input the carbon emission of the organic fuel into a processing model, generate cost data of the organic fuel power generation system by the processing model, generate adjustment instructions according to the cost data, and control the boiler to adjust the operation data of the coal-fired generating unit according to the adjustment instructions.

[0009] Optionally, the processing method of the processing model comprises: acquiring a cost change caused by the coal consumption change, a cost difference between the organic fuel blending combustion and the coal blending combustion, a total cost of the organic fuel blending combustion system reconstruction, a carbon tax income, an electricity price subsidy income, and a cost saved by the organic fuel blending combustion equipment; calculating a total cost change of the standard coal consumption change amount before and after the boiler blending according to the cost change caused by the coal consumption change, the cost difference between the organic fuel blending combustion and the coal blending combustion, and the total cost of the organic fuel blending combustion system reconstruction; calculating a total income change of the organic fuel blending combustion according to the carbon tax income, the electricity price subsidy income, and the cost saved by the organic fuel blending combustion equipment; and generating the cost data of the organic fuel power generation system according to the total cost change and the total income change.

[0010] Optionally, the acquisition of the cost change caused by the coal consumption change comprises: identifying a boiler coal consumption change amount caused by the organic fuel blending combustion, a unit annual utilization hours, a boiler coal conversion price to the standard coal price, and a unit installed capacity; and calculating the cost change caused by the coal consumption change according to the boiler coal consumption change amount caused by the organic fuel blending combustion, the unit annual utilization hours, the boiler coal conversion price to the standard coal price, and the unit installed capacity.

[0011] Optionally, obtaining the annual cost change value between blending organic fuels and blending coal includes: identifying the organic fuel consumption converted into standard coal consumption, the lower heating value of the organic fuel, the organic fuel consumption, and the standard coal price of the organic fuel; and calculating the annual cost change value between blending organic fuels and blending coal based on the organic fuel consumption converted into standard coal consumption, the lower heating value of the organic fuel, the organic fuel consumption, and the standard coal price of the organic fuel.

[0012] Optionally, before calculating the total revenue change from blended organic fuel based on the carbon tax revenue, electricity price subsidy revenue, and cost savings from blended organic fuel equipment, the process includes: obtaining the standard coal carbon dioxide emission coefficient, carbon dioxide trading price, annual coal consumption of the boiler, annual power generation of the unit, and organic fuel electricity price subsidy; calculating the carbon tax revenue based on the standard coal carbon dioxide emission coefficient and carbon dioxide trading price; and calculating the electricity price subsidy revenue based on the annual coal consumption of the boiler, annual power generation of the unit, and organic fuel electricity price subsidy.

[0013] Optionally, the step of calculating the carbon emissions of organic fuels based on the composition data of multiple fuels before and after co-firing in the boiler and the change data of the boiler's operating status after combustion includes: calculating the standard coal consumption of multiple fuels based on the lower heating value and consumption of organic fuels; calculating the change in boiler standard coal consumption caused by co-firing based on the change data of operating status; and calculating the carbon emissions of organic fuels based on the standard coal consumption and a preset standard coal carbon dioxide emission coefficient.

[0014] A second aspect of this application provides an electronic device, including: an online monitoring system for the co-firing of organic fuels in a coal-fired boiler as described in the above embodiments.

[0015] Therefore, this application has at least the following beneficial effects: This application embodiment can achieve real-time online monitoring of fuel composition (including lower heating value, moisture, ash content, etc. of coal, organic fuel, and mixed fuel) and key operating parameters after combustion (such as carbon content of fly ash and flue gas temperature) during the co-firing of organic fuels in coal-fired boilers by integrating acquisition, detection, and processing components. Based on multi-source data fusion and dynamic calculation models, it can accurately and continuously assess carbon emissions during the co-firing process, effectively solving the problem of inaccurate carbon emission measurement caused by data lag and manual sampling errors in traditional methods, and significantly improving the visualization and intelligence level of the co-firing process.

[0016] Additional aspects and advantages of this application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this application. Attached Figure Description

[0017] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, wherein: Figure 1 This is a flowchart of an online monitoring system for co-fired coal-fired boilers burning organic fuels, according to an embodiment of this application. Figure 2 This is a diagram of a component monitoring, carbon emission measurement, and economic analysis system provided according to embodiments of this application.

[0018] Figure labels: 1. Coal-fired boiler; 2. Air preheater; 3. Fly ash carbon content analyzer; 4. Fly ash sampler; 5. Temperature measuring device; 6. Signal line; 7. Control computer; 8. Organic fuel composition analyzer; 9. Organic fuel and coal mixed fuel sampling device; 10. Pulverized coal pipeline; 11. Coal mill; 12. Organic fuel silo; 13. Organic fuel sampling device; 14. Coal bunker; 15. Coal chute; 16. Organic fuel chute. Detailed Implementation

[0019] The embodiments of this application are described in detail below. Examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain this application, and should not be construed as limiting this application.

[0020] The following description, with reference to the accompanying drawings, describes an online monitoring system and electronic equipment for co-firing organic fuels in a coal-fired boiler according to an embodiment of this application.

[0021] Specifically, Figure 1 This is a schematic flowchart of an online monitoring system for co-firing organic fuels in a coal-fired boiler, provided as an embodiment of this application.

[0022] like Figure 1 As shown, the online monitoring system for the co-firing of organic fuels in a coal-fired boiler includes: a data acquisition component 100, a detection component 200, and a processing component 300.

[0023] The acquisition component 100 is used to acquire composition data of various fuels before and after boiler co-firing, including coal, organic fuels and mixed fuels, and the composition data includes lower heating value, moisture and ash content; the detection component 200 is used to monitor the changes in the boiler's operating status after combustion, including fly ash carbon content and flue gas temperature; the processing component 300 is communicatively connected to the acquisition component 100 and the detection component 200 to calculate the carbon emissions of organic fuels based on the composition data of various fuels before and after boiler co-firing and the changes in the boiler's operating status after combustion.

[0024] It is understood that the embodiments of this application can acquire data on the low heating value, moisture and ash content of coal, organic fuels and blended fuels in real time by setting up acquisition components. Combined with the online monitoring of key operating status changes such as the carbon content of fly ash and flue gas temperature after combustion by detection components, and the processing components integrate the above multi-source data for dynamic calculation, the accurate and continuous online measurement of carbon emissions during the blending of organic fuels is realized. This effectively overcomes the problems of traditional offline detection lag and large errors due to manual intervention, and significantly improves the real-time performance and accuracy of carbon emission monitoring during the blending process. It provides a reliable data foundation and technical support for the operation optimization, carbon emission control and economic evaluation of coal-fired boilers blended with organic fuels.

[0025] It should be noted that the processing component in this application is a control computer, and no specific limitations are imposed.

[0026] In this embodiment of the application, the acquisition component 100 includes: a first online sampling and analysis device, a second online sampling and analysis device, and a third online sampling and analysis device.

[0027] The system includes a first online sampling and analysis device located on the coal feeding path, a second online sampling and analysis device located on the organic fuel feeding path, and a third online sampling and analysis device located on the pulverized coal outlet pipeline of the coal mill. The first online sampling and analysis device is used to acquire real-time composition data of the coal; the second online sampling and analysis device is used to acquire real-time composition data of the organic fuel; and the third online sampling and analysis device is used to acquire real-time composition data of the mixed fuel.

[0028] It is understood that the embodiments of this application can achieve real-time, full-condition component monitoring of raw coal, organic fuel, and the mixture thereof by setting first, second, and third online sampling and analysis devices on the coal feeding path, organic fuel feeding path, and pulverized coal outlet pipeline of the coal mill, respectively. This enables continuous acquisition of key parameters such as low calorific value, moisture, and ash content, effectively solving the problem of large fluctuations in fuel composition and uneven mixing during the co-firing process, which makes it difficult to accurately characterize the composition. This provides timely and reliable front-end data support for subsequent combustion control optimization, dynamic calculation of carbon emissions, and precise control of the co-firing ratio, significantly improving the level of intelligent and refined management of the organic fuel co-firing process in coal-fired boilers.

[0029] It should be noted that the first online sampling and analysis device is an organic fuel sampling device and an organic fuel composition analyzer, the second online sampling and analysis device is a coal sampling device and an organic fuel composition analyzer, and the third online sampling and analysis device is an organic fuel and coal mixed fuel sampling device and an organic fuel composition analyzer.

[0030] In this embodiment of the application, the detection component 200 includes: a fly ash sampling point, a fly ash carbon content analyzer, and multiple temperature sensors.

[0031] Among them, multiple fly ash sampling points are arranged in a grid method in the air preheater outlet flue; the fly ash carbon content analyzer is set in the air preheater outlet flue and connected to the treatment component 300; multiple temperature sensors are arranged in a grid method in the air preheater outlet flue.

[0032] It is understood that the embodiments of this application can achieve full spatial coverage and continuous online monitoring of key operating parameters of the boiler after combustion by arranging multiple fly ash sampling points and temperature sensors in the flue gas duct of the air preheater using a grid method, and equipping them with a fly ash carbon content analyzer to detect the fly ash carbon content at each sampling point in real time. This effectively overcomes the measurement deviation caused by the uneven distribution of fly ash and temperature field in the flue gas duct, significantly improves the representativeness and accuracy of fly ash carbon content and flue gas temperature data, and, combined with the analysis system linked to each fuel sampling point, provides high-precision, multi-dimensional data support for boiler combustion efficiency assessment, dynamic calculation of carbon emissions, and operation optimization under co-firing conditions, thereby improving the reliability and scientific nature of the monitoring system.

[0033] Specifically, such as Figure 2 As shown, this application mainly includes: a coal-fired boiler 1, an air preheater 2, a fly ash carbon content analyzer 3, a fly ash sampler 4, a temperature measuring device 5, a signal line 6, a control computer 7, an organic fuel composition analyzer 8, an organic fuel and coal mixed fuel sampling device 9, a pulverized coal pipeline 10, a coal mill 11, an organic fuel silo 12, an organic fuel sampling device 13, a coal bunker 14, a coal chute 15, and an organic fuel chute 16.

[0034] The coal-fired boiler 1, as the core combustion equipment, burns a mixture of coal and organic fuels to produce steam and flue gas. This combustion process forms the basis for carbon emission and energy efficiency calculations. The air preheater 2 recovers waste heat from the flue gas and preheats the air entering the boiler, improving boiler efficiency. Its outlet flue is a key location for monitoring fly ash and exhaust gas temperature. The fly ash carbon content analyzer 3 analyzes the carbon content in fly ash samples taken from the flue online, used to calculate boiler combustion efficiency and coal consumption changes. The fly ash sampler 4 is installed in the air preheater outlet flue to collect fly ash samples at multiple points and transport them to the fly ash carbon content analyzer.

[0035] Temperature measuring device 5 is installed in the air preheater outlet flue, using a grid method to measure the flue gas temperature at multiple points to assess boiler heat loss and efficiency changes. Signal line 6 transmits real-time data from various monitoring modules (such as fly ash carbon content analyzer, temperature measuring device, and composition analyzer) to the control computer, enabling data integration and communication. The control computer (processing component) 7 serves as the system's data processing and calculation center, receiving all online monitoring data, executing carbon emission and economic calculation models, and displaying the results in real time (such as fuel composition, fly ash carbon content, flue gas temperature, carbon emissions, and economic indicators).

[0036] An organic fuel and coal blend sampling device 9 is installed in the pulverized coal pipeline at the outlet of the coal mill to collect samples of the blended coal and organic fuel and send them to an organic fuel composition analyzer. The pulverized coal pipeline 10 transports pulverized coal or blended fuel from the coal mill to the coal-fired boiler, serving as a crucial fuel transport channel. The coal mill 11 mixes and grinds coal and organic fuel to prepare pulverized fuel suitable for combustion, making it the core equipment for fuel processing. The organic fuel silo 12 stores organic fuels (such as biomass) and supplies them to the system through a drop pipe.

[0037] An organic fuel sampling device 13 is installed in the organic fuel chutes to collect organic fuel samples and send them to an organic fuel composition analyzer. A coal bunker 14 stores coal and supplies it to the coal mill via a coal chute. A coal chute 15 connects the coal bunker and the coal mill, transporting coal to the mill. An organic fuel chutes 16 connects the organic fuel silo and the coal mill, transporting organic fuel to the mill.

[0038] It should be noted that the organic fuel composition online monitoring system involves installing a sampling device inside the organic fuel chutes. After sampling, the organic fuel is sent to an organic fuel composition analyzer for analysis, yielding elemental analysis, industrial analysis, moisture content, ash content, calorific value, etc., which is then transmitted to a display for real-time display via a data signal line. Similarly, the coal composition online monitoring system involves installing a sampling device inside the coal chutes. After sampling, the coal is sent to an organic fuel composition analyzer for analysis, yielding elemental analysis, industrial analysis, moisture content, ash content, calorific value, etc., which is also transmitted to a display for real-time display via a data signal line.

[0039] Online monitoring system for mixed fuel composition: A sampling device is installed inside the pulverized coal outlet pipe of the coal mill. Mixed fuel samples are sent to an organic fuel composition analyzer for analysis, yielding elemental analysis, industrial analysis, moisture, ash content, calorific value, etc., which are transmitted to a display for real-time display via data signal lines. Online ash and carbon content detection system: A fly ash sampling device is installed inside the air preheater outlet flue. Multiple sampling devices can be arranged to collect fly ash samples, which are then sent to a fly ash carbon content analyzer for testing. The fly ash carbon content value is transmitted to a display for real-time display via data signal lines. Flue gas temperature measurement system: Flue gas temperature measurement devices are arranged in a multi-point grid pattern inside the air preheater outlet flue. The flue gas temperature value is transmitted to a display for real-time display via data signal lines.

[0040] In this embodiment, the processing component 300 is further used to obtain the carbon emissions of organic fuels, input the carbon emissions of organic fuels into the processing model, generate cost data of the organic fuel power generation system, generate adjustment instructions based on the cost data, and control the boiler to adjust the operating data of the coal-fired power generation unit based on the adjustment instructions.

[0041] It is understood that the embodiments of this application can obtain real-time calculated organic fuel carbon emissions and input them into the built-in economic and operational optimization processing model to automatically generate comprehensive cost data including fuel costs, carbon trading revenue, and energy consumption changes. This data is then used to generate optimal blending operation adjustment instructions for dynamically controlling the operating parameters of the boiler coal-fired power generation unit. This achieves closed-loop management from carbon emission monitoring to economic assessment and operation control, significantly improving the intelligence level of the blending process. It helps power plants achieve synergistic optimization of low carbon emissions and operational economy while ensuring stable combustion, thereby improving overall operational efficiency.

[0042] In this embodiment of the application, the processing method of the processing model includes: obtaining the cost change caused by changes in coal consumption, the annual cost difference between co-firing organic fuel and co-firing coal, the total cost of modifying the co-firing organic fuel system, and carbon tax revenue, electricity price subsidy revenue, and cost savings of co-firing organic fuel equipment; calculating the total cost change of the boiler before and after co-firing based on the cost change caused by changes in coal consumption, the annual cost change value between co-firing organic fuel and co-firing coal, and the total cost of modifying the co-firing organic fuel system; calculating the total revenue change of co-firing organic fuel based on carbon tax revenue, electricity price subsidy revenue, and cost savings of co-firing organic fuel equipment; and generating cost data for the organic fuel power generation system based on the total cost change and the total revenue change.

[0043] It is understood that the embodiments of this application can achieve a dynamic and accurate assessment of the entire process of co-firing organic fuels in coal-fired boilers by integrating multi-dimensional economic parameters such as coal consumption variation costs, fuel substitution costs, fixed retrofit costs, carbon tax revenue, electricity price subsidies, and environmental protection equipment operation savings. Based on real-time monitoring data, the total cost changes and total revenue changes are calculated to generate comprehensive and quantitative cost data. This not only overcomes the shortcomings of traditional economic analysis being static and fragmented, but also provides a scientific basis for co-firing strategy optimization, investment return assessment, and operation control decisions, significantly improving the transparency of economic benefits and the level of intelligent management in the co-firing process.

[0044] In this embodiment of the application, obtaining the cost change caused by the change in coal consumption includes: identifying the change in boiler coal consumption caused by the blending of organic fuels, the annual utilization hours of the unit, the price of boiler coal converted to standard coal, and the unit's installed capacity; and calculating the cost change caused by the change in coal consumption based on the change in boiler coal consumption caused by the blending of organic fuels, the annual utilization hours of the unit, the price of boiler coal converted to standard coal, and the unit's installed capacity.

[0045] It is understood that the embodiments of this application can identify the changes in boiler coal consumption caused by the co-firing of organic fuels, and combine them with key operating and economic parameters such as the annual utilization hours of the unit, the price of standard coal and the installed capacity to construct a dynamic calculation model for the cost of coal consumption changes. This enables the accurate quantification of cost fluctuations caused by changes in energy consumption due to co-firing, fully considers actual operating conditions and market factors, improves the accuracy and timeliness of cost change assessment, and optimizes operating strategies to enhance economic benefits.

[0046] In this embodiment of the application, obtaining the annual cost change value of blending organic fuels and blending coal includes: identifying the organic fuel consumption converted into standard coal consumption, the lower heating value of organic fuels, the organic fuel consumption, and the standard coal price of organic fuels; and calculating the annual cost change value of blending organic fuels and blending coal based on the organic fuel consumption converted into standard coal consumption, the lower heating value of organic fuels, the organic fuel consumption, and the standard coal price of organic fuels.

[0047] It is understood that the embodiments of this application can accurately calculate the annual operating cost changes under organic fuel blending and pure coal combustion conditions by identifying organic fuel consumption, lower heating value, and corresponding price parameters, converting them into equivalent standard coal consumption, and combining the price difference between organic fuel and standard coal. This method fully considers the difference in fuel calorific value and economic conversion relationship, effectively improving the scientificity and accuracy of blending cost assessment.

[0048] In this embodiment of the application, before calculating the total revenue change from co-firing organic fuels based on carbon tax revenue, electricity price subsidy revenue, and cost savings from co-firing organic fuel equipment, the process includes: obtaining the standard coal carbon dioxide emission coefficient, carbon dioxide trading price, annual coal consumption of the boiler, annual power generation of the unit, and organic fuel motor subsidy; calculating carbon tax revenue based on the standard coal carbon dioxide emission coefficient and carbon dioxide trading price; and calculating electricity price subsidy revenue based on the annual coal consumption of the boiler, annual power generation of the unit, and organic fuel electricity price subsidy.

[0049] It is understood that the embodiments of this application can construct a quantitative calculation model for carbon tax revenue and electricity price subsidy revenue by obtaining key parameters such as the standard coal carbon dioxide emission coefficient, carbon trading price, annual boiler coal consumption, annual unit power generation and organic fuel electricity price subsidy, thereby achieving accurate prediction of the policy benefits brought about by blending organic fuels.

[0050] In this embodiment of the application, the carbon emissions of organic fuels are calculated based on the composition data of various fuels before and after boiler co-firing and the change data of boiler operating status after combustion. This includes: calculating the standard coal consumption of various fuels based on the lower heating value and consumption of organic fuels; calculating the change in boiler standard coal consumption caused by co-firing based on the change data of operating status; and calculating the carbon emissions of organic fuels based on the standard coal consumption and the preset standard coal carbon dioxide emission coefficient.

[0051] It is understood that the embodiments of this application can achieve accurate quantitative calculation of carbon tax revenue and electricity price subsidy revenue by integrating key parameters such as standard coal carbon dioxide emission coefficient, carbon trading price, annual boiler coal consumption, annual unit power generation and organic fuel electricity price subsidy.

[0052] Specifically, the economics of blending organic fuels are influenced by a variety of factors. To accurately assess the benefits of blending organic fuels in coal-fired power units and thus provide a basis for decision-making regarding the commissioning of blending systems, this application establishes a processing model. The processing method of the model is as follows: (1) Changes in the total cost of organic fuel-blended power generation systems ① Cost changes C1 caused by changes in coal consumption: C1=C SPcoal,s ×H×P coal ×Q / 10 7 ; In the formula: C1: Cost change caused by change in coal consumption, in ten thousand yuan; C SPcoal,s : Changes in boiler coal consumption due to co-firing of organic fuels, g / kW.h; H: Annual utilization hours of the unit, h; P coal Q: Boiler coal price converted to standard coal price, RMB / ton; Q: Unit installed capacity, MW.

[0053] Among them, P coalThe calculation formula is based on the calorific value of coal displayed by the online fuel composition detection system: P coal = P coal,1 ×7000 / Q net1 ; Where P coal,1 For boiler coal prices, Q net1 This refers to the calorific value of coal.

[0054] Among them, C SPcoal,s The calculation formula is based on the changes in fly ash carbon content and flue gas temperature displayed by the online monitoring systems for fly ash carbon content and flue gas temperature. C SPcoal,s =((T2-T1)*0.5 / 10+(D2-D1)*0.2)*C SPcoal ; In the formula: C SPcoal,s T1: Change in boiler coal consumption due to co-firing of organic fuels, g / kW.h; T2: Boiler flue gas temperature after co-firing of organic fuels, °C; T1: Boiler flue gas temperature before co-firing of organic fuels, °C; D2: Carbon content of boiler fly ash after co-firing of organic fuels, %; D1: Carbon content of boiler fly ash before co-firing of organic fuels, %; C SPcoal Standard coal consumption of boiler before co-firing organic fuels, g / kW.h.

[0055] ② Annual organic fuel consumption converted to standard coal consumption C SP C SP = Q net2 ×A / 7000; In the formula: C SP Organic fuel consumption converted to standard coal consumption, in 10,000 tons; Q net2 A: Lower heating value of organic fuel, kcal; B: Consumption of organic fuel, 10,000 tons.

[0056] ③ The standard coal price P of organic fuel b P b = P biomass ×7000 / Q net ; In the formula: P b Organic fuel converted to standard coal price, yuan / ton; P biomass Standard coal price, yuan / ton; Q net The lower heating value of organic fuels is 1 kcal.

[0057] ④ Annual cost difference between blending organic fuels and blending coal C2 C2=(P b -P coal ) ×C SP; In the formula: P b Organic fuel converted to standard coal price, yuan / ton; P coal Boiler coal converted to standard coal price, yuan / ton; C SP Organic fuel consumption converted to standard coal consumption, in 10,000 tons.

[0058] ⑤ Fixed costs C3 C3 = I × 10%; In the formula: I: Total cost of retrofitting the organic fuel blending system, in ten thousand yuan.

[0059] Total cost C a Calculate using the following formula: C a =C1+C2+C3 (2) Benefits of organic fuel blending systems ① Carbon tax revenue P1 P1=C SP ×B CO2 ×P CO2 ; In the formula: P1: carbon tax revenue, in ten thousand yuan; B CO2 CO2 emission factor for standard coal, typically taken as 2.86 tons / ton; P CO2 CO2 trading price, in yuan / ton.

[0060] ② Electricity price subsidy revenue P2 P2=C SP / M×Es×B; In the formula: P2: subsidy for electricity price of blended organic fuel; M: annual coal consumption of boiler, 10,000 tons; Es: annual power generation of unit, 10,000 kWh; B: subsidy for electricity price of organic fuel, yuan / kWh.

[0061] ③ Cost savings in denitrification, dust removal, and desulfurization equipment after co-firing organic fuels (P3) Total revenue P = P1 + P2 + P3; In the formula: P1: carbon tax revenue; P2: electricity price subsidy for blended organic fuels; P3: cost savings for denitrification, dust removal, and desulfurization equipment after blending organic fuels.

[0062] ④ Annual net income P from power plants blending organic fuels r P r =PC a ; In the formula: P r P represents the annual net revenue from the power plant's blending of organic fuels, and C represents the total revenue. a This represents the total cost.

[0063] The online monitoring system for co-fired boilers using organic fuels, as proposed in this application, integrates acquisition, detection, and processing components to achieve real-time online monitoring of fuel composition and key post-combustion operating parameters during the co-fired boiler process. Based on multi-source data fusion and a dynamic calculation model, it can accurately and continuously assess carbon emissions during the co-fired process, effectively solving the problem of inaccurate carbon emission measurement caused by data lag and manual sampling errors in traditional methods, and significantly improving the visualization and intelligence level of the co-fired process.

[0064] The online monitoring system for coal-fired boilers co-fired with organic fuels of this application will be described in detail below with reference to specific embodiments, as follows: Taking a power generation company as an example, this paper introduces and explains the methods for monitoring organic fuel composition, carbon emissions, and economic evaluation, with biomass as an example of organic fuel.

[0065] This boiler is a product that incorporates and improves upon the characteristics of coal combustion. It is a subcritical, natural circulation, single-furnace, tangentially circular combustion boiler with balanced ventilation, open-air layout, solid ash discharge, and a fully steel-framed suspended structure. The pulverizing system employs a medium-speed mill-cooled primary air fan positive pressure direct-fired system.

[0066] This coal-fired boiler blends 15% organic fuel (calorific value), primarily wood-based, with a net calorific value of approximately 4000 kcal / kg. Based on data from online component monitoring, online fly ash carbon content monitoring, and online flue gas temperature monitoring systems, as well as an economic evaluation model, calculations were performed on the CO2 emission reduction and economic performance of the blended organic fuel boiler. The results are shown in Table 1.

[0067] Table 1. Carbon dioxide emission reduction and economic efficiency of coal-fired boilers co-firing organic fuels.

[0068] In summary, the calculation results clearly show that, under the current carbon price, although the price of biomass fuel itself is higher than that of coal and has a slight negative impact on boiler efficiency, the co-firing project still achieved significant annual net profit.

[0069] This application also provides an electronic device, including the online monitoring system for the co-firing of organic fuels in a coal-fired boiler as described above.

[0070] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0071] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this application, "N" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0072] Any process or method described in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or N executable instructions for implementing custom logic functions or processes, and the scope of the preferred embodiments of this application includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as should be understood by those skilled in the art to which embodiments of this application pertain.

[0073] It should be understood that the various parts of this application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, the N steps or methods can be implemented using software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented using any one or more of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0074] Those skilled in the art will understand that all or part of the steps of the methods in the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, the program includes one or a combination of the steps of the method embodiments.

Claims

1. An online monitoring system for coal-fired boilers co-fired with organic fuels, characterized in that, include: The data acquisition component is used to collect composition data of various fuels before and after boiler co-firing. The various fuels include the coal, organic fuels and blended fuels. The composition data includes lower heating value, moisture and ash content. The detection component is used to monitor changes in the boiler's operating status after combustion, including fly ash carbon content and flue gas temperature. The processing component, which is communicatively connected to the acquisition component and the detection component, is used to calculate the carbon emissions of organic fuels based on the composition data of various fuels before and after the boiler is co-fired and the changes in the operating status of the boiler after combustion.

2. The online monitoring system for co-firing organic fuels in coal-fired boilers according to claim 1, characterized in that, The data acquisition components include: a first online sampling and analysis device installed on the coal feeding path, a second online sampling and analysis device installed on the organic fuel feeding path, and a third online sampling and analysis device installed on the pulverized coal outlet pipeline of the coal mill. The first online sampling and analysis device is used to acquire the composition data of coal in real time; The second online sampling and analysis device is used to acquire composition data of organic fuels in real time; The third online sampling and analysis device is used to acquire the composition data of the blended fuel in real time.

3. The online monitoring system for co-firing organic fuels in coal-fired boilers according to claim 2, characterized in that, The detection components include: fly ash sampling points, a fly ash carbon content analyzer, and multiple temperature sensors. The multiple fly ash sampling points are arranged in a grid method in the air preheater outlet flue; The fly ash carbon content analyzer is installed in the air preheater outlet flue and connected to the processing component; The multiple temperature sensors are arranged in a grid pattern in the outlet flue of the air preheater.

4. The online monitoring system for co-firing organic fuels in coal-fired boilers according to claim 1, characterized in that, The processing component is further used for: The carbon emissions of organic fuels are obtained and input into a processing model. The processing model generates cost data for the organic fuel power generation system. Based on the cost data, adjustment instructions are generated, and the boiler is controlled to adjust the operating data of the coal-fired power generation unit according to the adjustment instructions.

5. The online monitoring system for co-firing organic fuels in coal-fired boilers according to claim 1, characterized in that, The processing method of the processing model includes: The study aims to obtain information on cost changes caused by changes in coal consumption, annual cost differences between co-firing organic fuels and co-firing coal, total cost of upgrading organic fuel co-firing systems, carbon tax revenue, electricity price subsidy revenue, and cost savings from co-firing organic fuel equipment. The total cost change of the standard coal consumption before and after boiler co-firing is calculated based on the cost change caused by the change in coal consumption, the annual cost change of organic fuel co-firing and coal co-firing, and the total cost of the organic fuel co-firing system renovation. The total revenue change from blending organic fuels is calculated based on the carbon tax revenue, electricity price subsidy revenue, and cost savings from equipment for blending organic fuels. Cost data for the organic fuel power generation system is generated based on the changes in total cost and total revenue.

6. The online monitoring system for co-firing organic fuels in coal-fired boilers according to claim 5, characterized in that, The cost changes caused by changes in coal consumption include: Identify the changes in boiler coal consumption, annual utilization hours of the unit, boiler coal price converted to standard coal price, and unit capacity caused by the co-firing of organic fuels; The cost change caused by the change in boiler coal consumption is calculated based on the change in boiler coal consumption caused by the co-firing of organic fuel, the annual utilization hours of the unit, the price of boiler coal converted to standard coal, and the unit's installed capacity.

7. The online monitoring system for co-firing organic fuels in coal-fired boilers according to claim 5, characterized in that, The method of obtaining the annual cost change values ​​for blending organic fuels and blending coal includes: Identify the conversion of organic fuel consumption into standard coal consumption, the lower heating value of organic fuel, organic fuel consumption, and the equivalent standard coal price of organic fuel; The annual cost change between blending organic fuel and blending coal is calculated based on the organic fuel consumption converted into standard coal consumption, the lower heating value of the organic fuel, the organic fuel consumption, and the converted standard coal price of the organic fuel.

8. The online monitoring system for co-firing organic fuels in coal-fired boilers according to claim 5, characterized in that, Before calculating the total revenue change from blending organic fuels based on the carbon tax revenue, electricity price subsidy revenue, and cost savings from blending organic fuel equipment, the following is included: Obtain the standard coal carbon dioxide emission coefficient, carbon dioxide trading price, annual coal consumption of boilers, annual power generation of units, and organic fuel electricity price subsidies; Carbon tax revenue is calculated based on the standard coal carbon dioxide emission coefficient and carbon dioxide trading price, and electricity price subsidy revenue is calculated based on the annual coal consumption of the boiler, the annual power generation of the unit, and the organic fuel electricity price subsidy.

9. The online monitoring system for co-firing organic fuels in coal-fired boilers according to claim 1, characterized in that, The calculation of organic fuel carbon emissions based on the composition data of various fuels before and after boiler co-firing and the changes in the boiler's operating status after combustion includes: The standard coal consumption of various fuels is calculated based on the lower heating value and consumption of organic fuels. Calculate the change in boiler standard coal consumption caused by co-firing based on the aforementioned operating status change data; The carbon emissions of organic fuels are calculated based on the standard coal consumption and the preset standard coal carbon dioxide emission coefficient.

10. An electronic device comprising an online monitoring system for co-firing organic fuels in a coal-fired boiler as described in any one of claims 1-9.

Images