CN109409785B - Method for establishing coal quality comparison evaluation model among different coking coal types - Google Patents
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Abstract
The invention discloses a method for establishing a coal quality comparison evaluation model among different coking coal types, which comprises the following steps: 1) determining sample coal participating in a coal blending test, and detecting key performance indexes of the sample coal to obtain the key performance indexes of the blended coal; 2) establishing a correlation equation of key performance indexes of the sample coal and/or the blended coal and the coke thermal performance CSR, and solving a correlation constant term in the equation; 3) according to the difference of the contribution degrees of different coking coal types to the thermal performance of coke, establishing coal quality comparison and evaluation models of different coking coal types; 4) and (5) correcting indexes of ash and sulfur. The coal quality comparison evaluation model established by the invention evaluates the quality according to the contribution degree of different coal types to the coke thermal performance, effectively solves the apparent limitation of national standards on the coal quality evaluation, and has better guiding significance for avoiding purchasing high-price low-coking coal types and selecting proper coal types for coal blending to ensure the coke quality and reduce the coal blending cost.
Description
Technical Field
The invention belongs to the technical field of coking and coal blending, and particularly relates to a method for establishing a coal quality comparison evaluation model among different coking coal types.
Background
China is in short supply of coking coal resources, and the coking coal resources with strong cohesiveness are more in short supply. The coal quality evaluation and use of coking coal in China are basically executed according to national standards, and in order to meet the coke requirement of large blast furnaces, a large amount of strong caking coking coal is matched in domestic steel mills, so that the price of the strong caking coal is overhigh. In addition, for the similar coal types, various enterprises usually select coal types with high caking index and low volatile component, and preferentially select coking coal rich coal in the selection evaluation of the coal types, but the classification range of the coking coal types in China is wide, and the coking property of some coking coal is often found to be inferior to that of 1/3 coking coal; the high-volatile component fat coal is similar to the low-volatile component fat coal in price, but the coking property of some high-volatile component fat coal is far inferior to that of the low-volatile component fat coal; some gas coals have coking properties approaching 1/3 coking coals; there are also 1/3 coking coals that are characteristic of the off-gas coal.
In addition, because of the influence of the traditional coking coal quality evaluation technology, all coal mine enterprises usually start from the benefits of the coal mine enterprises, and the inferior coal and the high-quality coal are shuffled to meet the index requirements of users, so that the high-quality coke cannot be obtained by matching high-proportion 'strong caking' coal. Some imported high-price strong caking imported coals cannot obtain high-quality cokes due to improper evaluation and use.
Therefore, in order to control the coal blending cost, various steel mills are also dedicated to research on reasonable evaluation of coking coal. Many manufacturers have adopted a method of coal type subdivision and fine management to reduce the coking coal purchasing and coal blending cost, and the method not only stabilizes the coal blending structure, but also provides certain guidance for purchasing. The disadvantages are that: according to the method, the coal quality and the price are not hooked, the purchasing guidance is still in an abstract and macroscopic level, the prices of some high-quality coking coals are too high, and the coal blending cost is correspondingly higher. Enterprises such as domestic Lai steel, Handy steel, Shanxi coking and the like endow the conventional indexes of coking coal with certain specific gravity, further carry out deduction, carry out purchasing and distribution, and obtain certain positive effects, but the conventional indexes are easy to segregate for coal quality evaluation, and evaluation models are easy to deviate.
Therefore, the coking industry needs to develop a coking coal cost performance technology to guide coking enterprises to reasonably purchase coking coal resources, effectively inhibit the coking coal with different coal qualities seriously shuffled by upstream coal enterprises, and promote the harmonious and healthy operation development of the coking enterprises. On the other hand, the resources of high-quality coking coal in China are deficient, the resources of high-volatile coking coal are sufficient, and the project has guiding significance for guiding the coking industry to optimize the coking coal blending and obtain higher income.
Disclosure of Invention
The invention aims to solve the technical problem of providing a method for establishing a coal quality comparison evaluation model among different coking coal types according to the contribution of the coking coal of different coal types to the coke quality so as to reasonably evaluate the coal quality and the cost performance of each coking coal and guide iron and steel enterprises to reasonably purchase the coking coal for use with the coking coal.
In order to solve the technical problem, the method designed by the invention mainly comprises the following steps:
1) determining sample coal participating in a coal blending test, detecting key performance indexes of the sample coal, and obtaining the key performance indexes of the blended coal: according to the proportion Y of various coals in the blended coaliAnd the proportion D of coarse grain mosaic structure contained in the sample coal independently formed cokei coarse grainFiber and sheet knotStructural ratio Di-fiber sheetIsotropic structural ratio Di isotropyRespectively obtaining the proportion weighting number X of the coarse grain mosaic structure in the blended coalCoarse grainRatio of fiber to sheet-like Structure XFibrous sheetIsotropic structural ratio XIsotropyWherein i represents the ith sample coal; also, fluidity can be obtained>Fluidity logarithmic value weighted lgMF of 10000ddpm sample coal1Degree of fluidity>Weighted expansion degree b of 10000ddpm sample coal1，1000ddpm<Fluidity logarithmic value weighting lgMF of sample coal with fluidity less than or equal to 10000ddpm2Ash and sulfur.
2) Establishing a correlation equation of key performance indexes of the sample coal and/or the blended coal and the coke thermal performance CSR: (generally, coking enterprises have strict limits on ash content and sulfur content, and do not consider the ash content and the sulfur content at first)
CSR＝K+K1XCoarse grain+K2XFibrous sheet+K3XIsotropy+K4lgMF1+K5b1+K6lgMF2； (1)
K, K therein1、K2、K3、K4、K5And K6Is a constant.
3) The constant K, K is determined by substituting data relating to at least eight coal batch coking tests into equation (1)1、K2、K3、K4、K5And K6It is obvious that the proportion of coarse-grained mosaic structure in at least one group of blended coals is not zero, the proportion of fiber and lamellar structure in at least one group of blended coals is not zero, the proportion of isotropic structure in at least one group of blended coals is not zero, and the sample coals of at least one group of blended coals contain at least one fluidity>10000ddpm of coal and at least one 1000ddpm<The fluidity is less than or equal to 10000 ddpm.
4) According to the difference of the contribution degrees of different coking coal types to the thermal performance of coke, establishing coal quality comparison and evaluation models of different coking coal types:
Pj＝Pconstant number+(K1Dj coarse grain+K2Dj fiber sheet+K3DIsotropic property of j)+PProcess for the preparation of a coating/PStructure of the product(V1K4lgMFj+K5bj+V2K6lgMFj)； (2)
Wherein P isjCoal quality score, P, representing the jth coal typeStructure of the productlgMF, the degree of contribution of the char-forming microstructure to the thermal propertiesjExpressing the logarithmic value of fluidity of the jth coal type, as the fluidity MFj>10000ddpm, V1Taking 1, otherwise, taking 0; when 1000ddpm<Fluidity MFjWhen ddpm is less than or equal to 10000ddpm, V2Taking 1, otherwise, taking 0; bjExpressing the expansion degree of the jth coal type; pProcess for the preparation of a coating/PStructure of the product＝(K1XCoarse grain+K2XFibrous sheet+K3XIsotropy)/(K4lgMF1+K5b1+K6lgMF2)；PConstant numberObtaining key performance indexes of the reference coal types according to the given coal quality scores through a formula (2);
5) correcting indexes of ash and sulfur: the ash content and the sulfur content of the coke have great influence on the production utilization coefficient of the blast furnace, and the ash sulfur index is converted into the influence on the CSR for correction.
a) The ash content of the coke is increased by 1%, and the coke ratio of the blast furnace is increased by 1.5-2.3%;
b) the sulfur content of the coke is increased by 0.1 percent, and the coke ratio of the blast furnace is increased by 1.2-2.0 percent;
c) the CSR of the coke is reduced by 1 percent, the coke ratio absolute increase value is about 6kg/t, and the coke ratio is relatively increased by about 1.5 to 2.0 percent according to the coke ratio of 300 to 400kg/t iron.
Therefore, it is considered that the ash content of the coke increases by 1%, the sulfur content increases by 0.1%, and the CSR decreases by 1%, approximately.
The ash content of the coal is firstly converted into the ash content of the blast furnace coke: ad (Ad-based Ad)Coke (coke)＝100AdCoal (coal)/(100－VdCoal (coal))，VdCoal (coal)＝Vdaf, coal(100－AdCoal (coal)) 100; wherein AdCoke (coke)Denotes the dry ash content of the coke, AdCoal (coal)Denotes the dry basis ash content, Vd, of the coalCoal (coal)Denotes the dry-based volatile matter of coal, Vdaf，Coal (coal)Represents the dry ash-free base volatiles of the coal; the sulfur of the coal is converted into coke sulfur S after being separated into cokeCoke (coke)About 0.8SCoal (coal)Therefore, in the present invention, the S value is 0.8SCoal (coal)Calculating;
then comparing the ash content and the sulfur content of the cokes formed by the coal with the indexes of the ash content and the sulfur content of the reference cokes; then, the ash content of the coke is increased by 1% or the sulfur content is increased by 0.1%, and the CSR is decreased by 1%.
6) Finally, the coal quality score P of any coking coal is determined as follows:
P＝Pconstant number+(K1XCoarse grain+K2XFibrous sheet+K3XIsotropy)+PProcess for the preparation of a coating/PStructure of the product(K4lgMF1+K5b 1+K6lgMF2)+(AdCoke standard－AdCoke (coke))+10×(SCoke standard－SCoke (coke)) Therein Ad ofCoke standardThe standard ash content of the coke of the enterprise (namely the upper limit value of the assessment index set by the coke ash content of each enterprise), SCoke standardThe standard sulfur content of the coke of the enterprises is expressed (namely the upper limit value of the assessment index set by the sulfur content of the coke of each enterprise); the larger the P value, the better the coal quality.
If the ash content of the blast furnace coke is less than 12.5%, the sulfur content is less than 0.7%:
P＝Pconstant number+(K1XCoarse grain+K2XFibrous sheet+K3XIsotropy)+PProcess for the preparation of a coating/PStructure of the product(K4lgMF1+K5b1+K6lgMF2)+(12.5－AdCoke (coke))+10×(0.7－SCoke (coke))。
The coal quality comparison evaluation model established by the invention evaluates the quality according to the contribution degree of different coal types to the coke thermal performance, effectively solves the apparent limitation of the national standard to the coal quality evaluation, and has better guiding significance for guiding the purchasing department to reasonably price and purchase, avoiding purchasing some high-price low-coking coal types and selecting proper coal types for coal blending to combine so as to ensure the coke quality and reduce the coal blending cost.
Detailed Description
The present invention will be described in further detail with reference to specific examples.
The invention provides a method for establishing a coal quality comparison evaluation model among different coking coal types according to the action of various single coals in coal blending and coking, which comprises the following steps:
1) determining sample coal participating in a coal blending test, detecting key performance indexes of the sample coal, and obtaining the key performance indexes of the blended coal: according to the proportion Y of various coals in the blended coaliAnd the proportion D of coarse grain mosaic structure contained in the sample coal independently formed cokei coarse grainFiber to sheet structure ratio Di-fiber sheetIsotropic structural ratio Di isotropyRespectively obtaining the proportion weighting number X of the coarse grain mosaic structure in the blended coalCoarse grainRatio of fiber to sheet-like Structure XFibrous sheetIsotropic structural ratio XIsotropyWherein i represents the ith sample coal; also, fluidity can be obtained>Fluidity logarithmic value weighted lgMF of 10000ddpm sample coal1Degree of fluidity>Weighted expansion degree b of 10000ddpm sample coal1，1000ddpm<Fluidity logarithmic value weighting lgMF of sample coal with fluidity less than or equal to 10000ddpm2And detecting the ash content and the sulfur content of the sample coal.
2) Establishing a correlation equation of key performance indexes of the sample coal and/or the blended coal and the coke thermal performance CSR: (generally, coking enterprises have strict limits on the sulfur content of ash, and do not consider the sulfur content of ash at first)
CSR＝K+K1XCoarse grain+K2XFibrous sheet+K3XIsotropy+K4lgMF1+K5b1+K6lgMF2； (1)
K, K therein1、K2、K3、K4、K5And K6Is a constant.
3) The constant K, K is determined by substituting data relating to at least eight coal batch coking tests into equation (1)1、K2、K3、K4、K5And K6Obviously, at leastThe proportion of coarse-grained mosaic structure in a group of blended coals is not zero, the proportion of fiber and sheet structure in at least one group of blended coals is not zero, the proportion of isotropic structure in at least one group of blended coals is not zero, and the sample coals of at least one group of blended coals at least contain one fluidity>10000ddpm coal and 1000ddpm<The fluidity is less than or equal to 10000 ddpm.
4) According to the difference of the contribution degrees of different coking coal types to the thermal performance of coke, establishing coal quality comparison and evaluation models of different coking coal types:
Pj＝Pconstant number+(K1Dj coarse grain+K2Dj fiber sheet+K3DIsotropic property of j)+PProcess for the preparation of a coating/PStructure of the product(V1K4lgMFj+K5bj+V2K6lgMFj)； (2)
Wherein P isjCoal quality score, P, representing the jth coal typeStructure of the productlgMF, the degree of contribution of the char-forming microstructure to the thermal propertiesjExpressing the logarithmic value of fluidity of the jth coal type, as the fluidity MFj>10000ddpm, V1Taking 1, otherwise, taking 0; when 1000ddpm<Fluidity MFjWhen ddpm is less than or equal to 10000ddpm, V2Taking 1, otherwise, taking 0; bjExpressing the expansion degree of the jth coal type; pProcess for the preparation of a coating/PStructure of the product＝(K1XCoarse grain+K2XFibrous sheet+K3XIsotropy)/(K4lgMF1+K5b1+K6lgMF2)；PConstant numberAnd obtaining the key performance index of the reference coal type according to the given coal quality score through a formula (2).
5) Correcting indexes of ash and sulfur: the ash content and the sulfur content of the coke have great influence on the production utilization coefficient of the blast furnace, and the ash sulfur index is converted into the influence on the CSR for correction.
a) The ash content of the coke is increased by 1%, and the coke ratio of the blast furnace is increased by 1.5-2.3%;
b) the sulfur content of the coke is increased by 0.1 percent, and the coke ratio of the blast furnace is increased by 1.2-2.0 percent;
c) the CSR of the coke is reduced by 1 percent, the coke ratio absolute increase value is about 6kg/t, and the coke ratio is relatively increased by about 1.5 to 2.0 percent according to the coke ratio of 300 to 400kg/t iron.
Therefore, it is considered that the ash content of the coke increases by 1%, the sulfur content increases by 0.1%, and the CSR decreases by 1%, approximately.
The ash content of the coal is firstly converted into the ash content of the blast furnace coke: ad (Ad-based Ad)Coke (coke)＝AdCoal (coal)/(100－VdCoal (coal))，VdCoal (coal)＝Vdaf, coal(100－AdCoal (coal)) 100; wherein AdCoke (coke)Denotes the dry ash content of the coke, AdCoal (coal)Denotes the dry basis ash content, Vd, of the coalCoal (coal)Denotes the dry-based volatile matter of coal, Vdaf, coalRepresents the dry ash-free base volatiles of the coal; the sulfur of the coal is converted into coke sulfur S after being separated into cokeCoke (coke)About 0.8SCoal (coal)Therefore, in the present invention, the S value is 0.8SCoal (coal)Calculating;
then comparing the ash content and the sulfur content of the cokes formed by the coal with the indexes of the ash content and the sulfur content of the reference cokes; then, the ash content of the coke is increased by 1% or the sulfur content is increased by 0.1%, and the CSR is decreased by 1%.
6) Finally, the coal quality score P of any coking coal is determined as follows:
P＝Pconstant number+(K1XCoarse grain+K2XFibrous sheet+K3XIsotropy)+PProcess for the preparation of a coating/PStructure of the product(K4lgMF1+K5b 1+K6lgMF2)+(AdCoke standard－AdCoke (coke))+10×(SCoke standard－SCoke (coke)) Therein Ad ofCoke standardThe standard ash content of the coke of the enterprise (namely the upper limit value of the assessment index set by the coke ash content of each enterprise), SCoke standardThe standard sulfur content of the coke of the enterprises is expressed (namely the upper limit value of the assessment index set by the sulfur content of the coke of each enterprise); the larger the P value, the better the coal quality.
If the ash content of the blast furnace coke is less than 12.5%, the sulfur content is less than 0.7%:
P＝Pconstant number+(K1XCoarse grain+K2XFibrous sheet+K3XIsotropy)+PProcess for the preparation of a coating/PStructure of the product(K4lgMF1+K5b1+K6lgMF2)+(12.5－AdCoke (coke))+10×(0.7－SCoke (coke))。
Examples
The coking blending coal of a certain enterprise consists of gas coal, 1/3 coking coal, fat coal, coking coal and lean coal, and the blending proportion of various coals is changed to carry out a blending coking experiment. The experimental data of the enterprise for 1 month are collated, and the char formation optical texture test and the flow expansion test are carried out on each single coal.
The coarse grain mosaic structure proportion of each single coal in the blended coal is added according to the weight, the proportion of the formed coke fiber and the flaky structure is added according to the weight, and the proportion of the isotropic structure is added according to the weight. Multiplying the fluidity logarithmic value and the expansion degree of the fertilizer coal with the fluidity of more than 10000ddpm by the weight of the fertilizer coal respectively to obtain the fluidity logarithmic value weighted number and the expansion degree weighted number; the logarithm value of the fluidity of the 1/3 coking coal with the fluidity of 10000ddpm being more than or equal to 1000ddpm is multiplied by the weight of the logarithm value of the fluidity to obtain the weighted number of the logarithm value of the fluidity.
TABLE 1 Key Performance index and CSR in each protocol
Performing multiple linear regression on key performance indexes of 30 coal blending schemes and CSR by using minitab software, wherein the regression equation is as follows:
CSR＝43.0+0.613Xcoarse grain－0.25XFibrous sheet+2.32lgMF1+4.78lgMF2+0.078b2－0.20XIsotropy. (formula 1)
The daily standard coal blending of the enterprise is as follows:
5% of gas coal, 45% of coking coal, 20% of 1/3 coking coal, 15% of fat coal and 15% of lean coal;
the CSR of the daily coke is 70.5 percent, the mosaic structure of the coking coarse particles of the enterprise blended coal is 39 percent, the fiber and sheet structure is 4 percent, the isotropic structure is 2 percent, the fluidity of 1/3 coking coal is 1000ddpm (lgM: 3), the fluidity of fat coal is 10000ddpm (lgMF: 4), and the expansion degree is 120 percent;
then:
Pprocess for the preparation of a coating/PStructure of the product＝(2.32*3*20+4.78*4*15+0.078*15*120)/(0.613*39－0.25*4－0.2*2)＝0.25
P＝PConstant number+(K1XCoarse grain+K2XFibrous sheet+K3XIsotropy)+PProcess for the preparation of a coating/PStructure of the product(K4lgMF1+K5b1+K6lgMF2)－(A dCoke (coke)－12.5)－10×(SCoke (coke)－0.7)
The standard ash content of the enterprise coke is 12.5 percent, the sulfur content is 0.7 percent, and the S content isCoke (coke)By 0.8Coal (coal)And (6) performing calculation.
P＝PConstant number+(K1XCoarse grain+K2XFibrous sheet+K3XIsotropy)+PProcess for taking or placing a part in a roomPStructure of the product(K4lgMF1+K5b1+K6lgMF2)－(AdCoke (coke)－AdCoke standard)－10×(SCoke (coke)－SCoke standard)
P＝PConstant number+0.613XCoarse grain－0.25XFibrous sheet－0.2XIsotropy+0.25×(2.32lgMF1+4.78×lgMF2+0.078×b2)－(AdCoke (coke)－12.5)－10×(SCoke (coke)－0.7)
The proportion of the coarse grain mosaic structure is 55%, the coarse grain mosaic structure does not contain fibers, a flaky structure and an isotropic structure, the fluidity is lower than 1000ddpm, the sulfur content is 0.5%, and the ash content: 10.0% and coking coal with 26% of volatile component as reference coal, and coal quality score of 90, PConstant numberIs 55.
P＝55+0.613XCoarse grain－0.25XFibrous sheet－0.2XIsotropy+0.25×(2.32lgMF1+4.78×lgMF2+0.078×b2)+(12.5-AdCoke (coke))+10×(0.7-SCoke (coke))。
Evaluating and sequencing coal qualities of 9 different coal types;
TABLE 2 coal quality analysis results
| Coal sample | Ad/％ | Vdaf/％ | St,ad/％ | G | Y/mm |
| Gas coal | 7.97 | 38.38 | 0.82 | 72 | 12 |
| Fat coal 1# | 7.52 | 35.56 | 0.52 | 95 | 26 |
| Fat coal 2# | 9.81 | 31.12 | 1.42 | 95 | 26 |
| 1/3 coking coal 1# | 9.83 | 30.15 | 0.46 | 89 | 18 |
| 1/3 coking coal 2# | 7.56 | 35.68 | 0.68 | 88 | 17 |
| 1# coking coal | 9.82 | 24.52 | 0.45 | 84 | 16 |
| Coke coal 2# | 9.86 | 22.53 | 1.25 | 85 | 16 |
| Coke 3# | 9.83 | 23.50 | 0.45 | 83 | 16 |
| Lean coal | 9.56 | 17.56 | 0.45 | 40 | 5 |
TABLE 3 initial coal quality evaluation results
As can be seen from table 3, the initial coal quality evaluation results for each individual coal without ash sulfur correction are ranked: coking coal No. 2, coking coal No. 1, fat coal No. 2, coking coal No. 3, 1/3, coking coal No. 1, fat coal No. 1, 1/3, coking coal No. 2, lean coal and gas coal.
However, since both the coking coal No. 2 and the fat coal No. 2 are high-sulfur coals, the sulfur content of the coking coal tends to be high, and the coking coal is disadvantageous to blast furnace production, and the ash contents of the individual coals are different from each other, the ash contents of the individual coals need to be corrected. And 5) according to the requirements of the step 5), correcting the indexes of the ash sulfur, and then obtaining the final coal quality evaluation result shown in the table 4.
TABLE 4 Final coal quality evaluation results
In table 4, the evaluation of the coal quality of the fat coal 2# and the coking coal 2# needs to be corrected because of high sulfur index, and the final evaluation result is slightly different from that in table 3. For further comparative evaluation of rationality, the above coal types were subjected to alternate blending experiments:
TABLE 5 coal blending protocol
TABLE 6 coal blending experimental results
| Scheme(s) | CSR/％ |
| 1# (Standard) | 72.00 |
| 2# (gas coal substituted 10% 1/3 coking coal 1#) | 67.00 |
| 3# (lean coal replaces 10% 1/3 coking coal 1#) | 68.50 |
| 4# (coking coal 1# instead of 10% 1/3 coking coal 1#) | 73.50 |
| 5# (coking coal 2# instead of 10% 1/3 coking coal 1#) | 74.00 |
| 6# (coking coal 3# instead of 10% 1/3 coking coal 1#) | 72.20 |
| 7# (1/3 coking coal 2# instead of 10% 1/3 coking coal 1#) | 70.00 |
| 8# (fat coal 1# instead of 10% 1/3 coking coal 1#) | 71.00 |
| 9# (fat coal 2# instead of 10% 1/3 coking coal 1#) | 73.00 |
The blending result is as follows: scheme 5# > scheme 4# > scheme 9# > scheme 6# > scheme 1# > scheme 8# > scheme 7# > scheme 3# > scheme 2 #; that is, after 10% of 1/3 coke 1# is replaced by each coal, the results of each replacement are ranked:
coking coal No. 2, coking coal No. 1, fat coal No. 2, coking coal No. 3, 1/3, coking coal No. 1, fat coal No. 1, 1/3, coking coal No. 2, lean coal and gas coal; this substitution result is consistent with the initial coal quality assessment results of table 3 (without considering the effect of the ash sulfur index).
Because the sulfur content indexes of the coking coal No. 2 and the fat coal No. 2 are high, the sulfur content is further corrected according to the influence of the ash sulfur indexes on the coke ratio of the blast furnace.
According to the step 5), after the indexes of ash content and sulfur content are corrected, the coal quality scores are sorted: the evaluation results in table 4 are shown in table 1# evaluation results, where coke coal No. 1# is coke coal No. 2# is coke coal No. 3# is 1/3 coke coal No. 1# is fat coal No. 2# is fat coal No. 1# is 1/3 coke coal No. 2# is lean coal No. gas coal.
Therefore, as can be seen from tables 3 and 4, coking coal # 1 is low in sulfur, high in coke-forming coarse grain structure and excellent in coal quality, and coking coal # 2 has a high sulfur content and a coal quality score slightly lower than that of coking coal # 1 although the mosaic structure of the coke-forming coarse grains is high; the quality score of the high-volatile component fat coal No. 2 is lower than that of the medium-volatile component high-G value 1/3 coking coal No. 1.
Thus, the enterprise in the purchase of coking coal has the price positioning: coking coal No. 1, coking coal No. 2, coking coal No. 3, 1/3, coking coal No. 1, fat coal No. 2, fat coal No. 1, 1/3, coking coal No. 2, lean coal and gas coal.
Claims (4)
1. A method for establishing a coal quality comparison evaluation model among different coking coal types is characterized by comprising the following steps: the method comprises the following steps:
1) determining sample coal participating in coal blending test, detecting key performance index of the sample coal to obtain the coal blendedKey performance indexes are as follows: according to the proportion Y of various coals in the blended coaliAnd the proportion D of coarse grain mosaic structure contained in the sample coal independently formed cokei coarse grainFiber to sheet structure ratio Di-fiber sheetIsotropic structural ratio Di isotropyRespectively obtaining the proportion weighting number X of the coarse grain mosaic structure in the blended coalCoarse grainRatio of fiber to sheet-like Structure XFibrous sheetIsotropic structural ratio XIsotropyWherein i represents the ith sample coal; also, fluidity can be obtained>Fluidity logarithmic value weighted lgMF of 10000ddpm sample coal1Degree of fluidity>Weighted expansion degree b of 10000ddpm sample coal1，1000ddpm<Fluidity logarithmic value weighting lgMF of sample coal with fluidity less than or equal to 10000ddpm2Detecting to obtain ash content and sulfur content of the sample coal;
2) establishing a correlation equation of key performance indexes of the sample coal and/or the blended coal and the coke thermal performance CSR: CSR ═ K + K1XCoarse grain+K2XFibrous sheet+K3XIsotropy+K4lgMF1+K5b1+K6lgMF2； (1)
K, K therein1、K2、K3、K4、K5And K6Is a constant;
3) the constant K, K is determined by substituting data relating to at least eight coal batch coking tests into equation (1)1、K2、K3、K4、K5And K6It is obvious that the proportion of coarse-grained mosaic structure in at least one group of blended coals is not zero, the proportion of fiber and lamellar structure in at least one group of blended coals is not zero, the proportion of isotropic structure in at least one group of blended coals is not zero, and the sample coals of at least one group of blended coals contain at least one fluidity>10000ddpm of coal and at least one 1000ddpm<The fluidity is less than or equal to 10000 ddpm;
4) according to the difference of the contribution degrees of different coking coal types to the thermal performance of coke, establishing coal quality comparison and evaluation models of different coking coal types:
Pj＝Pconstant number+(K1Dj coarse grain+K2Dj fiber sheet+K3DIsotropic property of j)+PProcess for the preparation of a coating/PStructure of the product(V1K4lgMFj+K5bj+V2K6lgMFj)； (2)
Wherein P isjCoal quality score, P, representing the jth coal typeStructure of the productlgMF, the degree of contribution of the char-forming microstructure to the thermal propertiesjExpressing the logarithmic value of fluidity of the jth coal type, as the fluidity MFj>10000ddpm, V1Taking 1, otherwise, taking 0; when 1000ddpm<Fluidity MFjWhen ddpm is less than or equal to 10000ddpm, V2Taking 1, otherwise, taking 0; bjExpressing the expansion degree of the jth coal type; pProcess for the preparation of a coating/PStructure of the product＝(K1XCoarse grain+K2XFibrous sheet+K3XIsotropy)/(K4lgMF1+K5b1+K6lgMF2)；PConstant numberObtaining key performance indexes of the reference coal types according to the given coal quality scores through a formula (2);
5) correcting indexes of ash and sulfur: the ash content and the sulfur content of the coke have great influence on the production utilization coefficient of the blast furnace, the ash sulfur index is converted into the influence on the CSR, and finally, the coal quality score P of any coking coal is determined as follows:
P＝Pconstant number+(K1XCoarse grain+K2XFibrous sheet+K3XIsotropy)+PProcess for the preparation of a coating/PStructure of the product(K4lgMF1+K5b1+K6lgMF2)+(AdCoke standard－AdCoke (coke))+10×(SCoke standard－SCoke (coke)) Therein Ad ofCoke standardReference ash, S, representing the business cokeCoke standardIndicating the benchmark sulfur content of the coke of the enterprise; the larger the P value is, the better the coal quality is; the AdCoke (coke)＝AdCoal (coal)/(100－VdCoal (coal))，VdCoal (coal)＝Vdaf, coal(100－AdCoal (coal)) 100; wherein AdCoke (coke)Denotes the dry ash content of the coke, AdCoal (coal)To representDry basis ash of coal, VdCoal (coal)Denotes the dry-based volatile matter of coal, Vdaf, coalRepresents the dry ash-free base volatiles of the coal; sCoke (coke)Expressed as sulfur content S in the cokeCoke (coke)。
2. The method for establishing the coal quality comparison and evaluation model among different coking coal types according to claim 1, characterized in that: substituting 20-60 groups of data in the step 3), and performing multiple linear regression by using minitab software to obtain a constant K, K1、K2、K3、K4、K5And K6。
3. The method for establishing the coal quality comparison evaluation model among different coking coal types according to claim 1 or 2, characterized in that: and 3), the proportion of the coarse grain mosaic structure, the proportion of the fiber and sheet structure and the proportion of the isotropic structure in each group of the blended coal in the step 3) are not zero, and the sample coal of each group of the blended coal at least contains one coal with the fluidity of more than 10000ddpm and at least contains one coal with the fluidity of more than 1000ddpm and less than or equal to 10000 ddpm.
4. The method for establishing the coal quality comparison and evaluation model among different coking coal types according to claim 3, characterized in that: the sample coal of each group of blended coal contains a coal type with the fluidity of more than 10000ddpm and a coal type with the fluidity of less than or equal to 10000ddpm of 1000 ddpm.
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