CN115993435A - Method for improving accuracy of coal quality of boiler coal blending by utilizing primary mixed coal physical property analysis technology - Google Patents
Method for improving accuracy of coal quality of boiler coal blending by utilizing primary mixed coal physical property analysis technology Download PDFInfo
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Abstract
The invention discloses a method for improving the accuracy of coal quality of boiler coal blending by utilizing an initial mixed coal physical property analysis technology, which comprises the following steps: s1, preparing a standard coal sample for analysis; s2, analyzing the reflectivity of the primary mixed coal sample: analyzing the structure of the primary mixed coal of the power plant by means of a lithofacies analysis method; s3, carrying out industrial analysis and assay on the primary mixed coal samples, and respectively detecting the components and various indexes of different primary mixed coal samples; s4, performing elementary analysis and assay on the primary mixed coal sample; s5, combining industrial analysis and element analysis data of the fire coal, determining the characteristic relation of the primary mixed coal, forming the combustion physical property characteristics of the primary mixed coal, and obtaining basic information of the primary mixed coal; s6, formulating a blending scheme suitable for the boiler according to the accurate primary mixing coal quality basic information. The invention improves blending coordination, meets the combustion requirement of the boiler, solves the safety problem of the boiler, improves the accuracy of coal quality of blending coal of the coal-fired boiler, reduces production cost and improves the safety and stability of the unit.
Description
Technical Field
The invention relates to the technical field of safe operation of coal-fired boilers, in particular to a method for improving accuracy of coal quality of coal-doped boilers by utilizing an initial-mixed coal physical property analysis technology.
Background
The coal price directly determines the operation condition of the coal-fired power plant, and under the condition of certain online electricity price, the coal-fired price is the key of the profit of the coal-fired power plant, so that a technology of blending low-price inferior coal is adopted in many coal-fired power plants, and the overall fuel cost is reduced. The boiler design of the coal-fired power plants is based on the designed coal types and the checked coal types under the condition that the boilers of the coal-fired power plants are in the non-designed coal type combustion state for a long time, and if the designed coal types are used for combustion, the boiler performance is good; however, if the non-designed coal is burned, the combustion effect is deteriorated, the operation stability is lowered, the low-load peak regulation is difficult, the thermal efficiency of the boiler is reduced, and the problems of coking, slagging, overtemperature of a superheater, inadaptation of a desulfurization system, excessive pollution emission and the like are caused. Because the coal quality deviates from the designed coal type, the utilization rate of the heat energy of the coal of the boiler is reduced, and huge energy waste is caused. Under the multiple pressures of complex and changeable coal types, safe and efficient production and national policies, more and more coal-fired power plants in China develop mixed coal blending combustion work so as to relieve a plurality of problems caused by non-design coal types of boiler combustion.
In order to reduce the fuel cost of a coal-fired power plant, a mixed coal blending mode is generally adopted, but in the traditional mixed coal blending method, the adopted coal quality basic data sources are all single coal quality information, and the blending calculation basis is calculated by an algorithm based on each single coal type, so that the blending result is obtained. The actual power plant coal is not a single coal type or a direct-supply coal source of the same coal mine, most of the coal is primarily mixed by the single coal type so as to meet the requirements of several numerical parameters such as heating value, sulfur content and the like, thereby generating the realistic problem that the single coal source cannot accurately trace the source, and finally causing a non-ideal mixing result, thereby causing a series of problems such as low boiler operation efficiency, coking in the furnace, high-temperature corrosion, overtemperature of the heating surface pipe wall, high desulfurization and denitrification energy consumption and the like.
In view of the fact that the existing mixed coal blended combustion has a complex structure, most of the original coal is primarily mixed by different single coal types or a plurality of coal types, so that the practical problem that the coal quality cannot be accurately traced is caused, and research on improving the accuracy of the coal quality of the mixed coal type in the coal-fired power plant is needed.
Disclosure of Invention
The invention aims to solve the technical problem of providing a method for improving the accuracy of the coal quality of the boiler blending coal by utilizing an initial blending coal physical property analysis technology, so as to solve the problems that the blending result is not ideal and the operation safety of the boiler is caused because a single coal source cannot be accurately traced after the initial blending of the single coal source is carried out on the coal from an actual power plant.
In order to solve the technical problems, the technical scheme adopted by the invention is as follows.
The method for improving the accuracy of the coal quality of the boiler blended coal by utilizing the primary mixed coal physical property analysis technology comprises the following steps:
s1, preparing a standard coal sample for analysis;
s2, analyzing the reflectivity of the primary mixed coal sample: analyzing the structure of the primary mixed coal of the power plant by means of a lithofacies analysis method;
s3, carrying out industrial analysis and assay on the primary mixed coal samples, and respectively detecting the components and various indexes of different primary mixed coal samples;
s4, performing elementary analysis and assay on the primary mixed coal sample;
s5, combining industrial analysis and element analysis data of the fire coal, determining the characteristic relation of the primary mixed coal, forming the combustion physical property characteristics of the primary mixed coal, and obtaining basic information of the primary mixed coal;
s6, formulating a blending scheme suitable for the boiler according to the accurate primary mixing coal quality basic information.
In a further optimized technical scheme, in the step S2, analyzing the primary mixed coal structure of the power plant includes the following aspects:
identifying the category of the primary mixed coal;
judging whether the coal sample is single mixed coal or multiple mixed coals;
and analyzing the component proportion of different coal types of the coal sample.
In a further optimized technical scheme, in the step S2, the primary mixed coal structure is mainly judged according to the average maximum reflectivity Rmax of the vitrinite of the test mixed coal and the vitrinite reflectivity distribution map, the primary mixed coal type is judged according to the average maximum reflectivity Rmax, and the deterioration degree of the coal and the mixed coal type are judged according to the vitrinite reflectivity distribution map.
Further optimizing the technical scheme, the primary mixing coal category comprises: anthracite, lean coal, lean coal, coking coal, fat coal, gas coal, weak caking coal, long flame coal and lignite.
Further optimizing the technical scheme, judging the judgment basis of the coal mixing type of the coal through the vitrinite reflectance distribution map is as follows:
counting the notch number from the vitrinite reflectance distribution diagram, and judging the type of the mixed coal corresponding to the commodity coal according to the specification of the commodity coal reflectance distribution diagram coding system according to the standard deviation of the vitrinite reflectance and the notch number in the reflectance frequency distribution diagram.
In a further optimized technical scheme, in the step S3, the moisture, volatile matters, ash and fixed carbon components, as well as the sulfur content and the heat value index of different primary mixed coal samples are detected respectively through the industrial analysis of the coal.
By adopting the technical scheme, the invention has the following technical progress.
According to the invention, the rock phase analysis method is utilized to analyze the structure of the primary mixed coal of the power plant according to the average maximum reflectivity and distribution diagram of the vitrinite, and simultaneously, the characteristic relations of volatile matters, ash melting points and the like of the primary mixed coal are determined by combining the industrial analysis and element analysis data of the coal, so that the combustion physical property characteristics of the primary mixed coal are formed, the basic information of the primary mixed coal quality is obtained, and the basic information of the primary mixed coal quality is used for guiding the mixing scheme of the mixed coal, so that the mixing coordination is improved, the combustion requirement of a boiler is met, the safety problem of the boiler is solved, the accuracy of the coal quality of the mixed coal of the coal-fired boiler is improved, the production cost is reduced, and the safety and stability of the unit are improved.
The invention effectively relieves the combustion safety problems of the boiler caused by unreasonable mixed combustion due to inaccurate coal quality, such as coking of a hearth, high-temperature corrosion, overtemperature of a pipe wall and the like.
The invention reduces the generation amount of boiler pollutants and relieves the pressure of the discharge of the flue gas pollutants by reasonably blending according to accurate coal quality data.
According to the invention, by reasonably blending according to accurate coal quality data, the economical efficiency of the boiler is improved, the application range of coal types is widened, the purchase of coal is more flexible, and the power generation cost is reduced.
Drawings
FIG. 1 is a schematic flow chart of the present invention;
FIG. 2 is a representative profile corresponding to the commercial coal reflectivity profile encoding system of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The method for improving the accuracy of the coal quality of the boiler blended coal by utilizing the primary mixed coal physical property analysis technology comprises the following steps:
s1, carrying out standardized sampling on different primary mixed coals for blended combustion of a coal-fired boiler, and unifying grouping numbers to prepare a standard coal sample for analysis.
S2, analyzing the reflectivity of the primary mixed coal sample. The invention utilizes a lithofacies analysis method to analyze the structure of the primary mixed coal of the power plant according to the average maximum reflectivity of the vitrinite and the distribution diagram, and the lithofacies analysis method is to analyze and distinguish the structure of the primary mixed coal through a lithofacies analyzer.
In step S2, analyzing the primary mixed coal structure of the power plant includes the following aspects:
identifying the category of the primary mixed coal, wherein the category of the primary mixed coal comprises anthracite, lean coal, lean coal, coking coal, fat coal, gas coal, weak caking coal, long flame coal, lignite and the like.
Judging whether the coal sample is single mixed coal or multiple mixed coals.
And analyzing the component proportion of different coal types of the coal sample.
The method is based on a lithofacies analysis method, and the structure of the primary mixed coal is analyzed and distinguished through a lithofacies analyzer, and is judged mainly according to two indexes of a vitrinite of the test mixed coal. The primary mixing coal structure is mainly judged according to the average maximum reflectivity Rmax of the vitrinite of the test mixing coal and the vitrinite reflectivity distribution diagram, the primary mixing coal type is judged according to the average maximum reflectivity Rmax, and the deterioration degree of the coal and the mixing coal type are judged according to the vitrinite reflectivity distribution diagram.
1. Average maximum reflectance Rmax
Vitrinite reflectance test principle: an incident light irradiates the polished surface of the coal rock polished section, wherein 546nm reflected light on the vitrinite particles enters a photoelectric converter, the light signal is converted into a weak electric signal, the weak electric signal is measured by a precision instrument after being amplified by the instrument, and then the measured electric signal is compared with data obtained by a standard substance to calculate, and the result is vitrinite reflectivity which is expressed by Rmax.
The correspondence between the maximum reflectance average value Rmax and the coal type is shown in the following table:
| R o max /％ | possible coals (arranged according to frequency of occurrence) |
| <0.5 | Lignite and long flame coal |
| 0.5～<0.6 | Long flame coal, non-sticking coal and gas coal |
| 0.6～<0.7 | Gas coal, long flame coal, non-sticking coal and gas fat coal |
| 0.7～<0.8 | Gas coal,Gas fat coal, weak caking coal, non-caking coal and 1/2 caking coal |
| 0.8～<0.9 | 1/3 coking coal, gas coal, weak caking coal, non-caking coal, fat coal and gas fat coal |
| 0.9～<1.0 | 1/3 coking coal, fat coal, gas coal, 1/2 viscous coal and gas fat coal |
| 1.0～<1.1 | Fat coal and 1/3 coking coal |
| 1.1～<1.2 | Fat coal, 1/3 coking coal and coking coal |
| 1.2～<1.3 | Coking coal, fat coal and 1/3 coking coal |
| 1.3～<1.4 | Coking coal and fat coal |
| 1.4～<1.5 | Coking coal |
| 1.5～<1.6 | Coking coal, lean coal and lean coal |
| 1.6～<1.7 | Lean coal, coking coal and lean coal |
| 1.7～<1.8 | Lean coal, coking coal and lean coal |
| 1.8～<1.9 | Lean coal, lean coal and lean coal |
| 1.9～<2.0 | Lean coal, lean coal and lean coal |
| 2.0～<2.5 | Lean coal |
| >＝2.5 | Anthracite and lean coal |
2. Vitrinite reflectance profile
And judging the deterioration degree of the coal and the coal mixing condition according to the vitrinite reflectance of the coal and the distribution diagram thereof. The image analysis method is to measure the reflectivity of all components including vitrinite in the coal by gray scale according to the correlation of the gray scale of the image and the reflectivity, and to remove the non-vitrinite reflectivity by a special processing method to obtain the average vitrinite reflectivity and the distribution diagram thereof. During measurement, the coal sample is made into a pulverized coal polished section, and the standard section is used for instrument calibration before measurement.
The drawing process of the vitrinite reflectance distribution map comprises the following steps: the number of measurements at each interval was counted and the frequency (f) was calculated using the reflectance interval of 0.05% as the half order. And drawing a vitrinite reflectance distribution map by taking the frequency as an ordinate and the random reflectance (Rran) as an abscissa.
The judgment basis for judging the coal mixing type of the coal through the vitrinite reflectance distribution map is as follows: the "notch number" was counted from the vitrinite reflectance distribution map with the vitrinite reflectance interval of 0.05%, and the type of coal blend corresponding to the commercial coal was judged according to the standard deviation of vitrinite reflectance and the notch number in the reflectance frequency distribution map and the specification of the commercial coal reflectance distribution map coding system shown in table 1. A corresponding typical profile of a commercial coal reflectivity profile encoding system is shown in fig. 2.
Table 1 commercial coal reflectivity distribution map encoding system
Note that: the reflectivity profile with code 1 characteristics may also be a single seam of coal of higher order bituminous coal and anthracite coal.
S3, carrying out industrial analysis and assay on the primary mixed coal sample, and respectively detecting the moisture, volatile matters, ash, fixed carbon and other components of different primary mixed coal samples through industrial analysis of the fire coal, wherein the sulfur content, the heat value and other indexes are detected
S4, performing element analysis and assay on the primary mixed coal sample. The element content of different primary mixed coal samples is detected and analyzed, the element content of the conventional C, H, O, N, S, al, si, fe, ca and the like is included, and trace elements in the coal can be detected, including Ti, na, K and the like. Elemental analysis is the basis for studying the deterioration degree of coal, calculating the calorific value of the coal, estimating the important index of the carbonization product of the coal, and also for carrying out the heat calculation when the coal is used as fuel in industry.
S5, analyzing the combustion physical property characteristics of the primary mixed coal sample, analyzing the types and proportions of the primary mixed coal of the power plant by means of a lithofacies analysis method, and simultaneously determining the characteristic relations of volatile matters, ash melting points and the like of the primary mixed coal by combining the industrial analysis and element analysis data of the fire coal to form the combustion physical property characteristics of the primary mixed coal, so as to obtain the basic information of the primary mixed coal quality.
S6, providing more accurate coal quality data support for mixed coal blending combustion according to accurate primary mixed coal quality basic information, and then formulating a blending scheme suitable for boiler safety, stability and economy according to different boiler combustion modes, characteristics and blending requirements.
According to the invention, the rock phase analysis method is utilized to analyze the structure of the primary mixed coal of the power plant according to the average maximum reflectivity and distribution diagram of the vitrinite, and simultaneously, the characteristic relations of volatile matters, ash melting points and the like of the primary mixed coal are determined by combining the industrial analysis and element analysis data of the coal, so that the combustion physical property characteristics of the primary mixed coal are formed, the basic information of the primary mixed coal quality is obtained, and the basic information of the primary mixed coal quality is used for guiding the mixing scheme of the mixed coal, so that the mixing coordination is improved, the combustion requirement of a boiler is met, the safety problem of the boiler is solved, the accuracy of the coal quality of the mixed coal of the coal-fired boiler is improved, the production cost is reduced, and the safety and stability of the unit are improved.
The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, and alternatives falling within the spirit and principles of the invention.
Claims (6)
1. The method for improving the accuracy of the coal quality of the boiler blended coal by utilizing the primary mixed coal physical property analysis technology is characterized by comprising the following steps of:
s1, preparing a standard coal sample for analysis;
s2, analyzing the reflectivity of the primary mixed coal sample: analyzing the structure of the primary mixed coal of the power plant by means of a lithofacies analysis method;
s3, carrying out industrial analysis and assay on the primary mixed coal samples, and respectively detecting the components and various indexes of different primary mixed coal samples;
s4, performing elementary analysis and assay on the primary mixed coal sample;
s5, combining industrial analysis and element analysis data of the fire coal, determining the characteristic relation of the primary mixed coal, forming the combustion physical property characteristics of the primary mixed coal, and obtaining basic information of the primary mixed coal;
s6, formulating a blending scheme suitable for the boiler according to the accurate primary mixing coal quality basic information.
2. The method for improving the accuracy of the quality of the boiler blended coal by utilizing the primary mixed coal physical property analysis technology according to claim 1, wherein in the step S2, analyzing the primary mixed coal structure of the power plant comprises the following steps:
identifying the category of the primary mixed coal;
judging whether the coal sample is single mixed coal or multiple mixed coals;
and analyzing the component proportion of different coal types of the coal sample.
3. The method for improving the accuracy of the coal quality of the boiler blending coal by utilizing the primary mixed coal physical property analysis technology according to claim 2, wherein in the step S2, the primary mixed coal structure is judged mainly according to the average maximum reflectivity Rmax and the vitrinite reflectivity distribution map of the test mixed coal, the primary mixed coal type is judged according to the average maximum reflectivity Rmax, and the deterioration degree and the mixed coal type of the coal are judged according to the vitrinite reflectivity distribution map.
4. The method for improving the accuracy of the coal quality of the boiler blending coal by utilizing the primary mixed coal physical property analysis technology according to claim 2 or 3, wherein the primary mixed coal category comprises: anthracite, lean coal, lean coal, coking coal, fat coal, gas coal, weak caking coal, long flame coal and lignite.
5. The method for improving the accuracy of the coal quality of the boiler blending coal by utilizing the primary blending coal physical property analysis technology according to claim 3, wherein the judgment basis for judging the coal blending type of the coal by the vitrinite reflectance distribution map is as follows:
counting the notch number from the vitrinite reflectance distribution diagram, and judging the type of the mixed coal corresponding to the commodity coal according to the specification of the commodity coal reflectance distribution diagram coding system according to the standard deviation of the vitrinite reflectance and the notch number in the reflectance frequency distribution diagram.
6. The method for improving the accuracy of the quality of the boiler coal blending coal by utilizing the primary mixed coal physical property analysis technology according to claim 1, wherein in the step S3, the moisture, the volatile matters, the ash and the fixed carbon components, the sulfur content and the heat value indexes of different primary mixed coal samples are respectively detected through the industrial analysis of the fire coal.
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