Evaluation method of catalytic effect of coal ash components

Abstract

This invention relates to a method for evaluating the catalytic effect of coal ash components. It involves constructing evaluation indices for the catalytic effect of each component of coal ash on coke dissolution, obtaining the mass fraction of each component of coal ash, considering the ash distribution in coal, and establishing a new coal ash catalytic index (ARCI), which is correlated with the volatile matter content of coal. V daf The method for predicting the coke reactivity index (CRI) using a constructed model is compared with other existing coal ash catalytic indices. This invention incorporates considerations of the coal-forming environment and the dispersion of ash in the coal, enabling a more comprehensive assessment of the impact of coal ash components on coke quality and establishing the role of each component in the coal ash composition on the coke's dissolution reaction process.

Description

Technical Field

[0001] This invention belongs to the field of coal blending and coking technology in the coking industry, and relates to the establishment of a method for evaluating the catalytic effect of coal ash components, particularly to the establishment of a method for evaluating the reactivity of coal ash components to coke dissolution. Background Technology

[0002] Coke not only serves as a heat source, reducing agent, and carburizing agent in blast furnaces, but more importantly, it acts as a skeletal support for the burden. With the development of oxygen-enriched pulverized coal injection technology in blast furnaces, some of coke's functions have been replaced, but its skeletal support role remains irreplaceable.

[0003] With blast furnace ironmaking remaining the mainstream ironmaking process, the development trend of blast furnaces will inevitably move towards larger scale and greater intelligence. Larger blast furnaces will place higher demands on coke quality, requiring more sophisticated evaluation systems, prediction methods, and control mechanisms. Among these, the thermal properties of coke are of great significance to blast furnace smelting; exploring the factors influencing coke's thermal properties is crucial for guiding coal blending and coking processes.

[0004] Among the many factors influencing the thermal properties of coke, the mineral composition of coal has a significant impact. After undergoing a series of chemical changes during the coking process, almost all the minerals in coal are transferred into the coke, where they mostly exist in the form of oxides. Because the ash composition varies among different coal types, the reactivity and post-reaction strength of the coke differ. Currently, the quantification of the influence of ash composition is mainly expressed using the ash composition "catalytic index," which includes the ash catalytic index (ACI) and the basicity index (BCI). ash Alkalinity index (MBI), catalytic index (CI), catalytic index (MCI), and mineral catalytic index (MMCI), etc.

[0005] 1) The definition of ACI is:

[0006] ACI=(K2O+Na2O+CaO+Fe2O3) / (Al2O3+SiO2)

[0007] In the formula, K2O, Na2O, CaO, Fe2O3, Al2O3, and SiO2 are the mass fractions of each substance in the ash composition.

[0008] 2) B ash The defining formula is:

[0009] B ash = A d (Fe2O3+K2O) / (SiO2+Al2O3)

[0010] In the formula,A d , represents the dry basis ash content of coal, %; Fe2O3, SiO2, and Al2O3 are the mass fractions of each substance in the ash composition, %.

[0011] 3) The definition of MBI is:

[0012] MBI= A d (Na2O+K2O+CaO+MgO+Fe2O3) / [(100- V md)(SiO2+Al2O3)]

[0013] In the formula, A d The dry basis ash content of coal, % V md represents the dry basis volatile matter of coal, %; Na2O, K2O, CaO, MgO, Fe2O3, SiO2, and Al2O3 represent the mass fractions of each substance in the ash composition, %.

[0014] 4) The definition of CI is:

[0015] CI = 9.64AI + 14.04 S AI= A d (Na2O+K2O+CaO+MgO+Fe2O3) / (SiO2+Al2O3)

[0016] In the formula, AI is the alkalinity index; S The total sulfur content of coal, % A d The dry basis ash content of coal is %; Na2O, K2O, CaO, MgO, Fe2O3, SiO2, and Al2O3 are the mass fractions of each substance in the ash composition.

[0017] 5) The definition of MMCI is:

[0018] MMCI= A d (2.85Na2O+1.9K2O+2.34BaO+1.03CaO+0.43MgO+Fe2O3) / (SiO2+0.74Al2O3+2.5TiO2)

[0019] In the formula, A d The dry basis ash content of coal is %; Na2O, K2O, BaO, CaO, MgO, Fe2O3, SiO2, Al2O3, and TiO2 are the mass fractions of each substance in the ash composition.

[0020] 6) The definition of MCI is:

[0021] When expressed as ash content in coal: MCI = (Fe2O3+1.85K2O +2.2Na2O +1.6CaO +1.91BaO +0.83MgO +0.9MnO2) / [(100- V daf (SiO2 + 0.41Al2O + 2.5TiO2)

[0022] When expressed as ash content in coke: MCI = (Fe2O3+1.85K2O +2.2Na2O +1.6CaO +1.91BaO +0.83MgO +0.9MnO2) / (SiO2+0.41Al2O +2.5TiO2)

[0023] In the formula, The dry basis ash content of coal, % The dry ash content of coke, % V daf The dry basis volatile matter of coal is %; Fe2O3, K2O, Na2O, CaO, BaO, MgO, MnO2, SiO2, Al2O3, and TiO2 are the mass fractions of each substance in the ash composition.

[0024] Among the main components of coal ash, Na₂O, K₂O, CaO, Fe₂O₃, and MnO₂ generally play a positive catalytic role in the coke dissolution reaction, while SiO₂, Al₂O₃, and TiO₂ play a negative catalytic role. However, in the above-mentioned definitions, 1) to 4) do not provide all the ash components, nor do they reflect the weight of various minerals in the catalytic effect on coke. This fails to reasonably represent the catalytic effect of coal ash components on the coke dissolution reaction, weakening the role of coal ash components as an influencing factor of coke's thermal properties and reducing the accuracy of predicting coke dissolution reactivity.

[0025] Although expressions 5) to 6) provide all the catalytic components in coal ash and give the weights of various ash components on the catalytic effect of coke, expression (6) more accurately reflects the essential role of ash components in the solubility reaction of coke and is a representative indicator of the existing indicators for predicting the thermal properties of coke by the catalytic effect of coal ash components. However, none of these expressions provide an indicator that can reflect the coal-forming environment and the degree of ash dispersion.

[0026] The influence of coal ash composition on the thermal properties of coking coal and coke stems from two aspects. First, the catalytic properties of the coal ash itself are significant, as the distribution of ash in coal and coke greatly affects catalytic performance. Second, the coal ash composition should also include the influence of the sedimentary environment on the properties of coking coal. As a variable for predicting the thermal properties of coke, coal ash composition is not an independent variable but should reflect the combined effects of elemental catalysis and the geological background of coal formation.

[0027] Therefore, when analyzing the influence of coal ash composition on the thermal properties of coke, the existing catalytic indexes that represent the influence of minerals or ash components in coal on the thermal properties of coke lack information on the deposition environment and the dispersion of coal ash. Considering that a suitable index reflects the distribution of ash in coal is crucial for evaluating the role of ash in coal on the thermal properties of coke. Summary of the Invention

[0028] The purpose of this invention is to overcome the shortcomings of existing coal ash content index evaluation of catalytic effects, and to establish a method that takes into account the average maximum reflectance of coal vitrinite in the ash content catalytic index to evaluate the influence of ash content on the thermal properties of coke.

[0029] Average maximum reflectance of vitrinite in coal As an important indicator reflecting the degree of coal metamorphism, it reflects the structural differences of coal samples formed in different coal-forming ages. The ash content in coal depends on the minerals in the coal, and the formation of minerals in coal is closely related to the coal formation and the later experience of the coal seam. To a certain extent, this reflects the changes in coal ash content with the coal-forming environment. Listing it as one of the factors affecting the catalytic effect of coke dissolution can provide a more comprehensive consideration of the impact of coal ash content on coking coal and coke dissolution reactions.

[0030] Therefore, to achieve the above-mentioned objective, this invention provides a method for evaluating the catalytic effect of coal ash components, which uses the average maximum reflectance of the vitrinite group of coal as the catalytic effect. As a reflection of the influence of coal-forming environment and ash dispersion, a multivariate nonlinear solution method is used to obtain a comprehensive evaluation index of the effect of ash and major ash components in coal on coke dissolution, which is defined as the Ash Component Catalytic Index (ARCI), and its specific expression is:

[0031] ARCI=18× oh (Fe2O3) +29.12× oh (K2O) 2 +0.01× oh (Na₂O) +27.77× oh (CaO) +3.12× oh (MgO) +10× oh (SiO2) -1.53× oh (TiO2) -20× oh (Al2O3) 2 +32.55× oh (Al2O3) +3.05× -11.4×

[0032] In the formula:

[0033] ARCI – Catalytic Index of Raw Material Coal Ash Components;

[0034] oh (Fe2O3) — The content of Fe2O3 in coal ash, %

[0035] oh (K2O) — The content of K2O in coal ash, %

[0036] oh (Na2O) — The content of Na2O in coal ash, %

[0037] oh (CaO) — The content of CaO in coal ash, %

[0038] oh (MgO) — The content of MgO in coal ash, %

[0039] oh (SiO2)——The content of SiO2 in coal ash, %

[0040] oh (TiO2)——The content of TiO2 in coal ash, %

[0041] oh (Al2O3)——The content of Al2O3 in coal ash, %

[0042] —Coal dry basis ash content, %

[0043] —The average maximum reflectance of the vitrinite group of coal, %

[0044] Then, based on the volatile matter of coal V daf The catalytic index (ARCI) of ash components is used to predict the coke reactivity index (CRI) of coke obtained from this coal using the following formula:

[0045] CRI=0.319 V daf +0.0014 V daf 2 +0.757ARCI+1.209.

[0046] This invention uses the average maximum reflectance of vitrinite as an indicator reflecting the influence of the coal-forming environment on ash content. It considers the impact of the depositional environment on coal ash content and takes into account the influence of the depositional environment and the distribution of ash components in coal on the thermal properties of coke when analyzing the effects of coal ash composition on coke thermal properties. It addresses the lack of elements in existing ash catalytic activity evaluation indicators and improves the representation of the catalytic index. Therefore, the proposed ash composition catalytic index ARCI, as an independent variable affecting coke thermal properties, more accurately reflects the influence of ash in coke (coal) on coke quality, which is of great significance for improving the accuracy of reactivity and post-reaction intensity prediction models.

[0047] The coal mentioned in the method of the present invention is a variety of raw coal that can be used for coking or coking blending, including various single coals suitable for coking, as well as blended coals suitable for coking.

[0048] The evaluation method for the catalytic effect of coal ash components constructed using this invention can accurately predict the catalytic effect of ash components in coke obtained from coking with various raw coals suitable for coking on the thermal properties of coke.

[0049] However, preferably, when the dry basis ash content of the raw coal... ≤12%, average maximum reflectance of vitrinite group When the ash content is ≤2.5%, the method of this invention can be used to evaluate the catalytic effect of ash components in coal, and better evaluation results can be obtained.

[0050] Furthermore, when the dry basis ash content of the raw coal is preferred... ≤10%, average maximum reflectance of vitrinite group When the ash content is ≤1.5%, the method of the present invention has a better evaluation effect on the catalytic effect of ash components in coal.

[0051] This invention analyzes and measures the ash composition, ash content, and average maximum reflectance of vitrinite in single coals and blends of various coal ranks. Using statistical software and a multivariate nonlinear solution method, a new evaluation method for the catalytic effect of ash composition is established, and new evaluation indicators are developed.

[0052] This invention, by introducing the important coal quality indicator of average maximum reflectance of vitrinite, overcomes the shortcomings of existing coal catalytic index evaluation indicators that do not consider the influence of coal formation and deposition environment and coal ash dispersion. It more comprehensively and reasonably considers the influence of coal ash composition on the coke dissolution process, and more accurately and effectively predicts coke quality and optimizes coal blending schemes. This saves time and economic costs in coal blending and coking, and achieves cost reduction and efficiency improvement for coking enterprises.

[0053] This invention combines the coal blending ratio used in the actual coking production process of coking plants with small-scale coke oven tests. The new coal ash composition catalytic index proposed in this invention is incorporated into the coke thermal property prediction model. The results are compared with the actual values ​​of coke thermal properties, proving that the catalytic index determined in this invention is reasonable, has high prediction accuracy for coke thermal properties, and is widely applicable to coal types. It will not fluctuate significantly due to changes in coal type, coal blending scheme, and coke oven properties. Implementation

[0054] The specific embodiments of the present invention will be further described in detail below with reference to examples. These examples are only used to more clearly illustrate the technical solutions of the present invention, so that those skilled in the art can better understand and utilize the present invention, and are not intended to limit the scope of protection of the present invention.

[0055] Unless otherwise specified, the production processes, experimental methods, or testing methods involved in the embodiments of this invention are all conventional methods in the prior art, and their names and / or abbreviations are all conventional names in the field, which are very clear and distinct in the relevant application areas. Those skilled in the art can understand the conventional process steps based on the names and apply the corresponding equipment to implement them according to conventional conditions or conditions recommended by the manufacturer.

[0056] The various instruments, equipment, raw materials or reagents used in the embodiments of this invention are not subject to any special restrictions on their source. They are all conventional products that can be purchased through regular commercial channels and can be prepared according to conventional methods known to those skilled in the art.

[0057] The method for evaluating the catalytic effect of coal ash components established in the following embodiments of the present invention specifically includes:

[0058] The content of each ash component in a single type of coal or a blended coal shall be determined in accordance with GB / T 1574-2007 "Methods for Analysis of Coal Ash Components".

[0059] Volatile matter of single coal or blended coal was determined according to GB / T 30732-2014 "Industrial Analysis Methods for Coal - Instrumental Method". V daf and ash content;

[0060] The average maximum reflectance of the vitrinite group of a single type of coal or a blend of coals was determined according to GB / T 6948-2008 "Microscopic Determination of Vitrinite Reflectance of Coal". ;

[0061] The coke reactivity index (CRI) of coke obtained by coking single coal or blended coal is determined according to GB / T 4000-2017 "Test Methods for Coke Reactivity and Post-Reaction Strength".

[0062] A multivariate nonlinear solution method is used, according to the calculation formula:

[0063] ARCI=18× oh (Fe2O3) +29.12× oh (K2O) 2 +0.01× oh (Na₂O) +27.77× oh (CaO) +3.12× oh (MgO) +10× oh (SiO2) -1.53× oh (TiO2) -20× oh (Al2O3) 2 +32.55× oh (Al2O3) +3.05× -11.4×

[0064] The catalytic index (ARCI) of the gray component was obtained;

[0065] Based on the volatile matter of coal V daf Modeling with the catalytic index ARCI of gray components:

[0066] CRI=0.319 V daf +0.0014 V daf 2 +0.757ARCI+1.209

[0067] Predict the Coke Reactivity Index (CRI).

[0068] The following embodiments of the present invention involve 11 types of single coal commonly used in coking plants for blending and coking, specifically including 2 types of lean coal, 3 types of coking coal, 2 types of fat coal, 1 type of 1 / 3 coking coal, 2 types of gas coal, and 1 type of medium-caking coal. Among them:

[0069] Lean coal 1 comes from the Linfen area of ​​Shanxi Province, with a volatile matter content of ( V daf 15.64%, average maximum reflectance of vitrinite ( 1.93%;

[0070] Lean coal 2 comes from the Linfen area of ​​Shanxi Province, with a volatile matter content of ( V daf 16.66%, average maximum reflectance of vitrinite ( 1.83%;

[0071] Coking coal No. 1 comes from Zaozhuang, Shandong Province, and has a volatile matter content of ( Vdaf 18.53%, average maximum reflectance of vitrinite group ( 1.74%;

[0072] Coking coal No. 2 comes from the Lüliang area of ​​Shanxi Province, with a volatile matter content of ( V daf 20.69%, average maximum reflectance of vitrinite group ( 1.46%;

[0073] Coking coal No. 3 comes from the Lüliang area of ​​Shanxi Province, with a volatile matter content of ( V daf 22.47%, average maximum reflectance of vitrinite group ( 1.38%;

[0074] Coal No. 1 comes from Jinzhong area of ​​Shanxi Province, with a volatile matter content of ( V daf 31.50%, average maximum reflectance of vitrinite group ( 1.08%;

[0075] Coal 2 comes from the Lüliang area of ​​Shanxi Province, with a volatile matter content of ( V daf 30.37%, average maximum reflectance of vitrinite group ( 1.11%;

[0076] One-third of the coking coal comes from the Linfen area of ​​Shanxi Province, with a volatile matter content of ( V daf 32.81%, average maximum reflectance of vitrinite group ( 1.09%;

[0077] Gas coal No. 1 comes from Xinzhou area, Shanxi Province, with a volatile matter content of ( V daf 34.85%, average maximum reflectance of vitrinite group ( 0.85%;

[0078] Gas coal No. 2 comes from Linfen area, Shanxi Province, with a volatile matter content of ( V daf 36.83%, average maximum reflectance of vitrinite group ( 0.84%;

[0079] Medium-viscosity coal originates from the Linfen area of ​​Shanxi Province, with a volatile matter content of ( V daf 38.51%, average maximum reflectance of vitrinite group ( 0.65%. Example

[0080] Example 1

[0081] Five types of coal were selected: lean coal 2, coking coal 1, fat coal 1, 1 / 3 coking coal, and gas coal 1. The ash content of each coal was determined according to GB / T 1574-2007 "Methods for Analysis of Coal Ash Components," and the volatile matter content was determined according to GB / T 30732-2014 "Industrial Analysis Methods for Coal - Instrumental Method." V daf and ash The content was determined according to GB / T 6948-2008 "Microscopic Determination of Vitrin Reflectance of Coal" to measure the average maximum reflectance of the vitrinite group of a single type of coal. The specific measurement results are listed in Table 1.

[0082] Of the ash components in Table 1, SO3 and P2O5 have no catalytic effect on the dissolution process of coke and will not be discussed further.

[0083]

[0084] Substitute the data measured in Table 1 above into the formula:

[0085] ARCI=18× oh (Fe2O3) +29.12× oh (K2O) 2 +0.01× oh (Na₂O) +27.77× oh (CaO) +3.12× oh (MgO) +10× oh (SiO2) -1.53× oh (TiO2) -20× oh (Al2O3) 2 +32.55× oh (Al2O3) +3.05× -11.4×

[0086] The catalytic index (ARCI) of the gray component was calculated.

[0087] Then, based on the volatile matter of coal V daf The catalytic index (ARCI) of ash components is used to predict the coke reactivity index (CRI) of coke obtained from this coal using the following formula:

[0088] CRI=0.319 V daf +0.0014 V daf 2 +0.757ARCI+1.209

[0089] The predicted ash composition catalytic index (ARCI) and coke reactivity (CRI) are listed in Table 2.

[0090] Coking tests were conducted in a small coke oven using each of the aforementioned single types of coal, with a coal mass of 44.4 kg. The coal input for each coking test was 10% moisture, with a bulk density of 0.75 t / m³. 3 The coal is fed into the furnace for conventional coking, with an initial coal temperature of 800℃, a coke cake center temperature of 900℃, and a coking time of 17.5 hours.

[0091] The quality indicators of the prepared coke were tested according to GB / T 4000-2017 "Test Methods for Coke Reactivity and Post-Reaction Strength". The measured values ​​of the reactivity of each type of coal coke were obtained and listed in Table 2 for comparison with the predicted values.

[0092]

[0093] As can be seen from the data in Table 2, the difference between the predicted and measured values ​​of the reactivity of each type of coal coke is within ±1.20%, indicating a small deviation between the predicted and measured values.

[0094] Examples 2-6

[0095] Five coal blending schemes actually used in coking plants were selected, and coking experiments were conducted in 40kg small coke ovens. The specific coal blending schemes are listed in Table 3.

[0096]

[0097] The ash content of the blended coal was determined according to GB / T 1574-2007 "Methods for Analysis of Coal Ash Components"; the volatile matter content of the blended coal was determined according to GB / T30732-2014 "Industrial Analysis Methods for Coal - Instrumental Method". V daf and ash The content was determined according to GB / T 6948-2008 "Microscopic Determination of Vitrin Reflectance of Coal" to determine the average maximum reflectance of the vitrinite group in the blended coal. The specific measurement results are listed in Table 4.

[0098]

[0099] Substitute the measured data into the formula:

[0100] ARCI=18× oh (Fe2O3) +29.12× oh (K2O) 2 +0.01× oh (Na₂O) +27.77× oh(CaO) +3.12× oh (MgO) +10× oh (SiO2) -1.53× oh (TiO2) -20× oh (Al2O3) 2 +32.55× oh (Al2O3) +3.05× -11.4×

[0101] The catalytic index (ARCI) of the ash components of each blended coal was calculated.

[0102] Then, the volatile matter of the coal is used as a blending agent. V daf The catalytic index (ARCI) of ash components is used to predict the coke reactivity index (CRI) of coke obtained from coking with this blended coal, according to the following formula:

[0103] CRI=0.319 V daf +0.0014 V daf 2 +0.757ARCI+1.209

[0104] Subsequently, coking tests were conducted in a small coke oven using each of the aforementioned blended coals, with a coal weight of 40 kg per kilogram. The coal weight fed into the oven for each coking test was 44.4 kg, with a moisture content of 10%, and a bulk density of 0.75 t / m³. 3 The coal was fed into the furnace for conventional coking, with an initial coal temperature of 800℃, a coke cake center temperature of 900℃, and a coking time of 17.5 hours. The quality indicators of the coke prepared from each blended coal were tested according to GB / T 4000-2017 "Test Methods for Coke Reactivity and Post-Reaction Strength," and the measured values ​​of the coke reactivity for each blended coal were obtained.

[0105] In comparison, this invention utilizes the aforementioned measured characteristic index data of blended coal to predict the coke reactivity index (CRI) of the blended coal in coking using the catalytic index (MCI). The specific prediction method refers to the coke dissolution reactivity prediction model provided in the reference (Yang Junhe, Feng Anzu, Du Hegui. Relationship between mineral catalytic index and coke reactivity [J]. Iron and Steel, 2001, 36(6): 5-9.):

[0106] MCI= (Fe2O3+1.85K2O +2.2Na2O +1.6CaO +1.91BaO +0.83MgO +0.9MnO2) / [(100- V daf (SiO2 + 0.41Al2O + 2.5TiO2)

[0107] CRI=-4.08 V daf +0.103 V daf 2 +8.95MCI +48.09

[0108] The measured values, predicted values, and literature predicted values ​​of the coke reactivity index (CRI) were obtained and listed in Table 5 for comparison.

[0109]

[0110] As can be seen from the data in Table 5, the difference between the predicted coke reactivity of each blended coal and the measured value by the method of the present invention is within ±1.3%, which is significantly smaller than the error predicted by the catalytic index (MCI) in the literature. This proves that the ash component catalytic effect evaluation index proposed in the present invention can more accurately reflect the catalytic effect of ash in coal on coke dissolution.

[0111] Examples 7-11

[0112] Five coal blending schemes actually used in coking plants were selected, and coking experiments were conducted in 300kg coke ovens. The specific coal blending schemes are listed in Table 6.

[0113]

[0114] The ash content of the blended coal was determined according to GB / T 1574-2007 "Methods for Analysis of Coal Ash Components"; the volatile matter content of the blended coal was determined according to GB / T30732-2014 "Industrial Analysis Methods for Coal - Instrumental Method". V daf and ash The content was determined according to GB / T 6948-2008 "Microscopic Determination of Vitrin Reflectance of Coal" to determine the average maximum reflectance of the vitrinite group in the blended coal. The specific measurement results are listed in Table 7.

[0115]

[0116] Using the data measured above, the catalytic index ARCI of ash components and the predicted coke reactivity index CRI for each blended coal were obtained according to the methods in Examples 2 to 6, as well as the predicted catalytic index MCI and CRI values ​​obtained by the literature methods.

[0117] Coking tests were conducted in a 300kg coke oven using various blended coals. The initial coal weight for the coking tests was 370kg, with a moisture content of 10% and a bulk density of 0.75t / m³. 3The coal was fed into the furnace for conventional coking, with an initial coal temperature of 770℃, a coke cake center temperature of 1050℃, and a coking time of 20 hours. The quality indicators of the coke prepared from each blended coal were tested according to GB / T 4000-2017 "Test Methods for Coke Reactivity and Post-Reaction Strength," and the measured values ​​of the coke reactivity for each blended coal were obtained.

[0118]

[0119] Table 8 shows that, from small-scale coke oven tests of 40kg to 300kg coke oven tests, the coal ash composition evaluation index proposed in this invention, when applied to the prediction of coke dissolution reactivity, also ensures high accuracy and universality with small prediction errors.

[0120] Therefore, the coal ash composition evaluation index proposed in this invention can predict coke dissolution reactivity with high accuracy and broad applicability in practical applications, and the difference between the predicted coke reactivity and the actual coke reactivity is very small. Thus, the coal ash composition evaluation index of this invention can be applied to predict coke quality in coking production, enabling the optimization of coal blending schemes and saving time and economic costs in coal blending and coking.

[0121] The above embodiments of the present invention do not describe all details exhaustively, nor do they limit the present invention to the embodiments described above. Various changes, modifications, substitutions, and variations made by those skilled in the art to these embodiments without departing from the principles and spirit of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for evaluating the catalytic effect of coal ash components, which involves using the average maximum reflectance of the vitrinite group of coal as a metric. As a reflection of the influence of coal-forming environment and ash dispersion, a multivariate nonlinear solution method is used to obtain a comprehensive evaluation index of the effect of ash and major ash components in coal on coke dissolution, defined as the Ash Component Catalytic Index (ARCI), with the expression: ARCI=18× ω (Fe2O3)+29.12× ω (K2O) 2 +0.01× ω (Na2O)+27.77× ω (CaO)+3.12× ω (MgO)+10× ω (SiO2)-1.53× ω (TiO2)-20× ω (Al2O3) 2 +32.55× ω (Al2O3)+3.05× -11.4× ; In the formula: ARCI – Catalytic Index of Raw Material Coal Ash Components; ω (Fe2O3) — The content of Fe2O3 in coal ash, % ω (K2O) — The content of K2O in coal ash, % ω (Na2O) — The content of Na2O in coal ash, % ω (CaO) — The content of CaO in coal ash, % ω (MgO) — The content of MgO in coal ash, % ω (SiO2)——The content of SiO2 in coal ash, % ω (TiO2)——The content of TiO2 in coal ash, % ω (Al2O3)——The content of Al2O3 in coal ash, % —Coal dry basis ash content, % —The average maximum reflectance of the vitrinite group of coal, % Then, based on the volatile matter of coal V daf The catalytic index (ARCI) of ash components is used to predict the coke reactivity index (CRI) of coke obtained from this coal using the following formula: CRI=0.319 V daf +0.0014 V daf 2 +0.757ARCI+1.209。 2. The method for evaluating the catalytic effect of coal ash components according to claim 1, characterized in that: The coal mentioned refers to various raw coals that can be used for coking or coking blending.

3. The method for evaluating the catalytic effect of coal ash components according to claim 2, characterized in that: The raw coal mentioned is a variety of single types of coal suitable for coking.

4. The method for evaluating the catalytic effect of coal ash components according to claim 2, characterized in that: The raw coal mentioned is a blend of various coals suitable for coking.

5. The method for evaluating the catalytic effect of coal ash components according to claim 1 or 2, characterized in that: The dry basis ash content of the coal ≤12%, average maximum reflectance of vitrinite group ≤2.5%.

6. The method for evaluating the catalytic effect of coal ash components according to claim 1 or 2, characterized in that: The dry basis ash content of the coal ≤10%, average maximum reflectance of vitrinite group ≤1.5%.

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