CN113468462B - Method for predicting sulfur content in coke oven gas - Google Patents
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- CN113468462B CN113468462B CN202110728775.0A CN202110728775A CN113468462B CN 113468462 B CN113468462 B CN 113468462B CN 202110728775 A CN202110728775 A CN 202110728775A CN 113468462 B CN113468462 B CN 113468462B
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- 239000000571 coke Substances 0.000 title claims abstract description 95
- NINIDFKCEFEMDL-UHFFFAOYSA-N Sulfur Chemical compound [S] NINIDFKCEFEMDL-UHFFFAOYSA-N 0.000 title claims abstract description 79
- 229910052717 sulfur Inorganic materials 0.000 title claims abstract description 79
- 239000011593 sulfur Substances 0.000 title claims abstract description 79
- 238000000034 method Methods 0.000 title claims abstract description 31
- 239000003245 coal Substances 0.000 claims abstract description 72
- 238000006477 desulfuration reaction Methods 0.000 claims abstract description 26
- 230000023556 desulfurization Effects 0.000 claims abstract description 26
- 238000001514 detection method Methods 0.000 claims abstract description 26
- 239000000126 substance Substances 0.000 claims abstract description 24
- 238000012937 correction Methods 0.000 claims description 9
- 239000011280 coal tar Substances 0.000 claims description 6
- 238000004939 coking Methods 0.000 claims description 6
- 238000005192 partition Methods 0.000 claims description 6
- 239000000843 powder Substances 0.000 claims description 3
- 239000002641 tar oil Substances 0.000 claims description 3
- 239000011326 fired coke Substances 0.000 claims 2
- 238000004817 gas chromatography Methods 0.000 abstract description 3
- 238000005070 sampling Methods 0.000 abstract description 3
- 239000007789 gas Substances 0.000 description 78
- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical compound [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 description 10
- RAHZWNYVWXNFOC-UHFFFAOYSA-N Sulphur dioxide Chemical compound O=S=O RAHZWNYVWXNFOC-UHFFFAOYSA-N 0.000 description 10
- 239000000203 mixture Substances 0.000 description 10
- RWSOTUBLDIXVET-UHFFFAOYSA-N Dihydrogen sulfide Chemical compound S RWSOTUBLDIXVET-UHFFFAOYSA-N 0.000 description 9
- 238000002485 combustion reaction Methods 0.000 description 8
- 229910000037 hydrogen sulfide Inorganic materials 0.000 description 8
- 238000004519 manufacturing process Methods 0.000 description 7
- 229910000831 Steel Inorganic materials 0.000 description 5
- 238000007599 discharging Methods 0.000 description 5
- 229910052742 iron Inorganic materials 0.000 description 5
- 125000001741 organic sulfur group Chemical group 0.000 description 5
- 239000010959 steel Substances 0.000 description 5
- 239000011269 tar Substances 0.000 description 5
- UGFAIRIUMAVXCW-UHFFFAOYSA-N Carbon monoxide Chemical compound [O+]#[C-] UGFAIRIUMAVXCW-UHFFFAOYSA-N 0.000 description 4
- UCKMPCXJQFINFW-UHFFFAOYSA-N Sulphide Chemical compound [S-2] UCKMPCXJQFINFW-UHFFFAOYSA-N 0.000 description 4
- 239000003034 coal gas Substances 0.000 description 4
- 239000003546 flue gas Substances 0.000 description 4
- UFHFLCQGNIYNRP-UHFFFAOYSA-N Hydrogen Chemical compound [H][H] UFHFLCQGNIYNRP-UHFFFAOYSA-N 0.000 description 3
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 description 3
- 239000000446 fuel Substances 0.000 description 3
- 239000001257 hydrogen Substances 0.000 description 3
- 229910052739 hydrogen Inorganic materials 0.000 description 3
- 229910052760 oxygen Inorganic materials 0.000 description 3
- 239000001301 oxygen Substances 0.000 description 3
- IJGRMHOSHXDMSA-UHFFFAOYSA-N Atomic nitrogen Chemical compound N#N IJGRMHOSHXDMSA-UHFFFAOYSA-N 0.000 description 2
- LSDPWZHWYPCBBB-UHFFFAOYSA-N Methanethiol Chemical compound SC LSDPWZHWYPCBBB-UHFFFAOYSA-N 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 2
- JJWKPURADFRFRB-UHFFFAOYSA-N carbonyl sulfide Chemical compound O=C=S JJWKPURADFRFRB-UHFFFAOYSA-N 0.000 description 2
- 238000004587 chromatography analysis Methods 0.000 description 2
- 238000005048 flame photometry Methods 0.000 description 2
- 238000010438 heat treatment Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 239000002994 raw material Substances 0.000 description 2
- 238000006467 substitution reaction Methods 0.000 description 2
- 230000005526 G1 to G0 transition Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- QGJOPFRUJISHPQ-NJFSPNSNSA-N carbon disulfide-14c Chemical compound S=[14C]=S QGJOPFRUJISHPQ-NJFSPNSNSA-N 0.000 description 1
- 239000012159 carrier gas Substances 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000004134 energy conservation Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 239000002737 fuel gas Substances 0.000 description 1
- 238000002347 injection Methods 0.000 description 1
- 239000007924 injection Substances 0.000 description 1
- 230000014759 maintenance of location Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 229910052757 nitrogen Inorganic materials 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000004451 qualitative analysis Methods 0.000 description 1
- 238000004445 quantitative analysis Methods 0.000 description 1
- 239000000243 solution Substances 0.000 description 1
Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B01—PHYSICAL OR CHEMICAL PROCESSES OR APPARATUS IN GENERAL
- B01D—SEPARATION
- B01D53/00—Separation of gases or vapours; Recovering vapours of volatile solvents from gases; Chemical or biological purification of waste gases, e.g. engine exhaust gases, smoke, fumes, flue gases, aerosols
- B01D53/34—Chemical or biological purification of waste gases
- B01D53/46—Removing components of defined structure
- B01D53/48—Sulfur compounds
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B01—PHYSICAL OR CHEMICAL PROCESSES OR APPARATUS IN GENERAL
- B01D—SEPARATION
- B01D2258/00—Sources of waste gases
- B01D2258/02—Other waste gases
- B01D2258/0283—Flue gases
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- Oil, Petroleum & Natural Gas (AREA)
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- Chemical Kinetics & Catalysis (AREA)
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Abstract
The invention relates to a method for predicting sulfur content in coke oven gas, which comprises the following steps: collecting data, and calculating the sulfur content in the coke oven gas by using the following formula: η average of ＝(η1+η2+…+ηn)/n, formula (2); s= (m 1×η average of ×W Coal ×S Coal -m2S Chemical desulfurization )×109/V Gas (gas) formula (3)), the method provided by the invention can be used for rapidly predicting and calculating the content of sulfur element in coke oven gas without online sampling or gas chromatography, so that the running cost of enterprises can be reduced, the on-site detection efficiency can be improved, and the method can be used for guiding a lower user to realize standard emission.
Description
Technical Field
The invention relates to the technical field of flue gas desulfurization, in particular to a method for predicting sulfur content in coke oven gas.
Background
At present, the sulfur dioxide emission of heat treatment furnaces such as heating furnaces and the like is definitely required to be not more than 50mg/m 3 in China; for kilns using only mixed gas or coke oven gas as fuel, the sulfur dioxide content is only related to the sulfur elements in the fuel. The coke oven gas contains not only hydrogen sulfide but also organic sulfur such as carbon disulfide, carbonyl sulfide, methyl mercaptan and the like, and the organic sulfur can generate sulfur dioxide after combustion. Some enterprises are provided with hydrogen sulfide detection equipment aiming at the flue gas, and can also remove hydrogen sulfide in the flue gas, so that the hydrogen sulfide can be removed from 3-6 g/m 3 to below 200mg/m 3, even below 20mg/m 3. However, the method generally has no detection means and no danger escaping means for the organic sulfur in the coke oven gas, and along with the increasingly strict environmental protection requirements, the content of the organic sulfur has influenced whether downstream users can realize up-to-standard emission.
The Chinese patent application with publication number of CN110554136A discloses a method for detecting the sulfur content in blast furnace gas, which mainly solves the technical problem that the sulfur content in the existing blast furnace gas cannot be accurately detected. The method comprises the following steps of sampling; the method comprises the steps of burning a sample, transferring the blast furnace gas sample into a combustion tube for burning, controlling the temperature of the combustion tube to be 800-900 ℃ and simultaneously introducing oxygen and hydrogen into the combustion tube in the combustion process of the blast furnace gas, wherein the oxygen flow is 1.0-2.0L/min and the hydrogen flow is 2.0-3.0L/min; detecting a fluorescence integral response value of sulfur in the sample; and calculating the mass content of sulfur in the blast furnace gas. The technical scheme mainly realizes accurate determination of the sulfur content in the blast furnace gas, is simple and convenient to operate, has low detection cost, and is suitable for detecting the sulfur content in the blast furnace gas, the coke oven gas and the converter gas.
The Chinese patent application with publication number CN110849984A discloses a method for detecting sulfide in industrial gas, firstly, a microsyringe is used for extracting sample gas in the industrial gas and discharging the sample gas, after repeating the steps for 2 to 3 times, 100 to 200ml of gas to be detected containing sulfide is extracted, and then an autosampler is used for constant-speed sample injection; in the process, high-purity nitrogen is used as carrier gas, gas to be detected containing sulfide is carried, the gas is separated by chromatographic columns filled with stationary phase under certain chromatographic conditions, then the gas is measured by a flame photometry detector, the corresponding gas chromatograph obtained by the flame photometry detector is recorded by a computer, the retention time of chromatographic peaks is used for qualitative analysis, and the area of the chromatographic peaks is used for quantitative analysis. The method can accurately detect the components and the content of sulfide in the industrial gas, thereby realizing the purposes of energy conservation and emission reduction by continuously monitoring and improving. The technical scheme can analyze total sulfur in the coal gas, and the main method is that the coal gas is combusted in high-purity hydrogen, sulfide after combustion completely produces hydrogen sulfide, and then the hydrogen sulfide is detected by a chromatographic method.
The Chinese patent application with publication number of CN108490148A discloses an on-line detection device and a detection method for total sulfur content in fuel gas, wherein the on-line detection device comprises a combustion reaction furnace, an on-line gas flue gas detection system and a data acquisition and processing system; can accurately and timely guide the production of the gas desulfurization process and guide the production control of fuel. The technical scheme is that a certain amount of coke oven gas is oxidized and combusted in a combustion reaction furnace, and the total sulfur content in the gas is calculated through the amount of generated sulfur dioxide.
It can be seen that if the content of organic sulfur is to be detected, the method commonly used at present is to burn coal gas under the condition of hydrogen to generate hydrogen sulfide, and detect the hydrogen sulfide through chromatography. Or burning coal gas under oxygen, and detecting the amount of generated sulfur dioxide. But the speed of detecting sulfur element in the blast furnace gas by adopting the gas chromatography is low, and the operation is complex. For field workers, the operation difficulty is high and the efficiency is low. For enterprises with a plurality of coke ovens, the sulfur content detection in each coke oven gas cannot be included in daily detection. And the gas chromatograph is expensive, which can undoubtedly increase production and operation costs for enterprises. Therefore, development of a method for rapidly and simply detecting the sulfur content in coke oven gas is imperative.
Disclosure of Invention
The invention provides a method for predicting the sulfur content in coke oven gas, which can rapidly predict and calculate the sulfur content in the coke oven gas without online sampling and gas chromatography, can reduce the running cost of enterprises, improve the on-site detection efficiency, and can also guide the lower level users to realize standard emission.
In order to achieve the above purpose, the invention is realized by adopting the following technical scheme:
a method of predicting sulfur content in coke oven gas, comprising: collecting data, and calculating the sulfur content in the coke oven gas by using the following formula:
In the formula (1), η: sulfur partition rate,%;
w Coal : the weight of coal entering the furnace, t;
H Coal : ash content of coal entering the furnace,%;
S Coal : sulfur content of the coal charged into the furnace,%;
F Coal : volatile matters of the coal entering the furnace,%;
k 1: the correction coefficient of the volatile matters of the coal entering the furnace is 4.00-5.00;
W Coke : the weight of discharged coke, t;
S Coke : sulfur content,%;
k 2: the distribution coefficient of sulfur in the coal tar is 0.25% -0.65%;
w Tar oil : the mass of coal tar, t;
η average of ＝(η1+η2+…+ηn)/n formula (2)
In formula (2), η average of : average sulfur partition rate,%;
n: the detection times is more than or equal to 30;
S= (m 1×η average of ×W Coal ×S Coal -m2S Chemical desulfurization )×109/V Gas (gas) formula (3)
In formula (3), m 1: the correction coefficient of the monthly average sulfur distribution rate is 0.93 to 1.06;
m 2: the correction coefficient of chemical desulfurization is 1.03-1.08;
S Chemical desulfurization , chemical desulfurization quality, t;
v Gas (gas) : coke oven gas volume, m 3;
S: sulfur content in the gas, mg/m 3.
The eta average of is the average distribution rate of the last data acquisition period, and the data acquisition period is one month or one year.
The coal to be charged comprises gas coal, fat coal, coking coal, lean coal and 1/3 coking coal, and the sulfur content of the coal to be charged refers to the average sulfur content of various coal types, and all sulfur contents are calculated on a dry basis.
The coke discharging is full coke, and comprises qualified coke, check coke discharging, furnace end coke and CDQ powder.
Compared with the prior art, the invention has the beneficial effects that:
1) The method is applied to coke oven production, and can quickly estimate the sulfur content in the coke oven gas by using the daily detection data of various raw materials of the coke oven through a computer, so that the method is simple and easy to implement;
2) The method can avoid the problem that the sulfur content component data actually measured at a certain time point has deviation due to the fluctuation of working conditions, and the predicted sulfur content data is accurate and is enough to guide daily production;
3) Expensive gas chromatograph is not required to be purchased, so that the production and operation costs are reduced;
4) The sulfur content in the coke oven gas is predicted, so that the method has a certain guiding significance for realizing standard discharge when a downstream user uses the coke oven gas.
Drawings
FIG. 1 is a schematic diagram of a method for predicting sulfur content in coke oven gas according to the present invention.
Detailed Description
The following is a further description of embodiments of the invention, taken in conjunction with the accompanying drawings:
The invention discloses a method for predicting sulfur content in coke oven gas, which comprises the following steps: collecting data, and calculating the sulfur content in the coke oven gas by using the following formula:
In the formula (1), η: sulfur partition rate,%;
w Coal : the weight of coal entering the furnace, t;
H Coal : ash content of coal entering the furnace,%;
S Coal : sulfur content of the coal charged into the furnace,%;
F Coal : volatile matters of the coal entering the furnace,%;
k 1: the correction coefficient of the volatile matters of the coal entering the furnace is 4.00-5.00;
W Coke : the weight of discharged coke, t;
S Coke : sulfur content,%;
k 2: the distribution coefficient of sulfur in the coal tar is 0.25% -0.65%;
w Tar oil : the mass of coal tar, t;
η average of ＝(η1+η2+…+ηn)/n formula (2)
In formula (2), η average of : average sulfur partition rate,%;
n: the detection times is more than or equal to 30;
S= (m 1×η average of ×W Coal ×S Coal -m2S Chemical desulfurization )×109/V Gas (gas) formula (3)
In formula (3), m 1: the correction coefficient of the monthly average sulfur distribution rate is 0.93 to 1.06;
m 2: the correction coefficient of chemical desulfurization is 1.03-1.08;
S Chemical desulfurization , chemical desulfurization quality, t;
v Gas (gas) : coke oven gas volume, m 3;
S: sulfur content in the gas, mg/m 3.
The eta average of is the average distribution rate of the last data acquisition period, and the data acquisition period is one month or one year.
The coal to be charged comprises gas coal, fat coal, coking coal, lean coal and 1/3 coking coal, and the sulfur content of the coal to be charged refers to the average sulfur content of various coal types, and all sulfur contents are calculated on a dry basis.
The coke discharging is full coke, and comprises qualified coke, check coke discharging, furnace end coke and CDQ powder.
As shown in fig. 1, the principle of the method for predicting the sulfur content in the coke oven gas provided by the invention is as follows: the coal consumption data of one measuring and calculating period, including the quality of coal, the sulfur content in the coal, the quality of the produced coke, the sulfur content of the coke, the chemical desulfurization amount and the amount of the produced coke oven gas, are counted, the data are input into a computer based on the detection data, and the sulfur content in the coke oven gas can be predicted by calculating through a preset formula.
The average sulfur distribution rate can be calculated as an average value in units of month and year, or can be calculated as an average value in units of a calculation period by setting a calculation period according to the need.
According to the method, in the daily production process of the coke oven, the corresponding mathematical relation between different raw material parameters and the sulfur content in the coke oven gas can be established, so that the content range of sulfur element in the coke oven gas can be rapidly predicted, and a certain guiding significance can be achieved for the daily use of the coke oven gas by a subordinate user. If the enterprises adopt daily output data, the sulfur element content in the coke oven gas can be predicted more accurately, and an important guiding function can be achieved for lower-level users to realize standard discharge.
The following examples are given by way of illustration of detailed embodiments and specific procedures based on the technical scheme of the present invention, but the scope of the present invention is not limited to the following examples. Any person skilled in the art should, within the scope of the present disclosure, cover all equivalent substitutions or modifications according to the technical solution of the present invention and the inventive concept thereof.
[ Example 1]
In this example, a 6m coke oven of a certain iron and steel plant is taken as an example.
1.1 Raw coal composition of coke oven entering is shown in table 1.1 in detail.
TABLE 1.1 Coke oven raw coal structural composition
1.2 Coke index is shown in Table 1.2.
Table 1.2 indicators of coke
1.3 Chemical desulfurization data are detailed in Table 1.3.
TABLE 1.3 chemical desulfurization data
1.4, And the detailed table 1.4.
Table 1.4 Coke oven gas and Tar produced
1.5 The predicted sulfur content and the detection value in the coke oven gas are shown in Table 1.5.
Table 1.5 predicted sulfur element content and detection value in coke oven gas (η average of =0.14)
[ Example 2]
In this example, a 6m coke oven of a certain iron and steel plant is taken as an example.
1.1 Raw coal composition of coke oven entering is shown in table 2.1 in detail.
TABLE 2.1 Coke oven raw coal structural composition
1.2 Coke index is shown in Table 2.2.
Table 2.2 indicators of coke
1.3 Chemical desulfurization data are detailed in Table 2.3.
TABLE 2.3 chemical desulfurization data
1.4, And the detailed table 2.4.
Table 2.4 Coke oven gas and Tar produced
1.5 The predicted sulfur content and the detection value in the coke oven gas are shown in Table 2.5.
Table 2.5 predicted sulfur element content and detection value in coke oven gas (ηaverage=0.16)
[ Example 3]
In this example, a 7m coke oven of a certain iron and steel plant is taken as an example.
1.1 Raw coal composition of coke oven entering is shown in Table 3.1.
TABLE 3.1 Coke oven raw coal structural composition
1.2 Joules, see Table 3.2 in detail.
TABLE 3.2 index of coke
1.3 Chemical desulfurization data are detailed in Table 3.3.
TABLE 3.3 chemical desulfurization data
1.4, And the detailed table 3.4.
Table 3.4 coke oven gas and tar produced
1.5 The predicted sulfur content and the detection value in the coke oven gas are shown in Table 3.5.
Table 3.5 predicted sulfur element content and detection value in coke oven gas (η average of =0.13)
[ Example 4]
In this example, a 7m coke oven of a certain iron and steel plant is taken as an example.
1.1 Raw coal composition of coke oven entering is shown in table 4.1 in detail.
TABLE 4.1 Coke oven raw coal structural composition
1.2 Coke index is shown in Table 4.2.
Table 4.2 indicators of coke
1.3 Chemical desulfurization data are detailed in Table 4.3.
TABLE 4.3 chemical desulfurization data
1.4, And the detailed table 4.4.
Table 4.4 Coke oven gas and Tar produced
1.5 The predicted sulfur content and the detection value in the coke oven gas are shown in Table 4.5.
Table 4.5 predicted sulfur element content and detection value in coke oven gas (η average of =0.15)
[ Example 5]
In this example, a 6m coke oven of a certain iron and steel plant is taken as an example.
1.1 Raw coal composition of coke oven entering is shown in Table 5.1.
TABLE 5.1 Coke oven raw coal structural composition
1.2 Joules, see Table 5.2 in detail.
Table 5.2 indicators of coke
1.3 Chemical desulfurization data are detailed in Table 5.3.
TABLE 5.3 chemical desulfurization data
1.4, And the detailed table 5.4.
Table 5.4 Coke oven gas and Tar produced
1.5 The predicted sulfur content and the detection value in the coke oven gas are shown in Table 5.5.
Table 5.5 predicted sulfur element content and detection value in coke oven gas (η average of =0.15)
The foregoing is only a preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art, who is within the scope of the present invention, should make equivalent substitutions or modifications according to the technical scheme of the present invention and the inventive concept thereof, and should be covered by the scope of the present invention.
Claims (3)
1. A method for predicting sulfur content in coke oven gas, comprising: collecting data, and calculating the sulfur content in the coke oven gas by using the following formula:
In the formula (1), η: sulfur partition rate,%;
w Coal : the weight of coal entering the furnace, t;
H Coal : ash content of coal entering the furnace,%;
S Coal : sulfur content of the coal charged into the furnace,%;
F Coal : volatile matters of the coal entering the furnace,%;
k 1: the correction coefficient of the volatile matters of the coal entering the furnace is 4.00-5.00;
W Coke : the weight of discharged coke, t;
S Coke : sulfur content,%;
k 2: the distribution coefficient of sulfur in the coal tar is 0.25% -0.65%;
w Tar oil : the mass of coal tar, t;
η average of ＝(η1+η2+…+ηn)/n formula (2)
In formula (2), η average of : average sulfur partition rate,%;
n: the detection times is more than or equal to 30;
S= (m 1×η average of ×W Coal ×S Coal -m2S Chemical desulfurization )×109/V Gas (gas) formula (3)
In formula (3), m 1: the correction coefficient of the monthly average sulfur distribution rate is 0.93 to 1.06;
m 2: the correction coefficient of chemical desulfurization is 1.03-1.08;
S Chemical desulfurization , chemical desulfurization quality, t;
v Gas (gas) : coke oven gas volume, m 3;
S: sulfur content in the gas, mg/m 3.
2. The method for predicting the sulfur content in coke oven gas as claimed in claim 1, wherein the coal to be charged comprises gas coal, fat coal, coking coal, lean coal and 1/3 coking coal, and the sulfur content of the coal to be charged is the average sulfur content of each coal type, and is calculated on a dry basis.
3. The method for predicting sulfur content in coke oven gas of claim 1, wherein the out-fired coke is full coke comprising certified product coke, out-fired coke, furnace end coke and CDQ powder.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107525882A (en) * | 2017-10-20 | 2017-12-29 | 太原理工大学 | A kind of method for predicting sulfur content in coke |
| CN108520169A (en) * | 2018-04-09 | 2018-09-11 | 山西汾渭能源开发咨询有限公司 | One kind predicting coke sulphur transformation model by ash component and volatile matter |
| WO2020147607A1 (en) * | 2019-01-17 | 2020-07-23 | 中冶焦耐(大连)工程技术有限公司 | Process and system for treating tail gas from desulfurization regeneration tower for coke oven coal gas |
| CN113033873A (en) * | 2021-03-02 | 2021-06-25 | 华电邹县发电有限公司 | Method for predicting content of sulfur oxides at inlet of desulfurization system based on measurement of coal quality entering furnace |
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Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107525882A (en) * | 2017-10-20 | 2017-12-29 | 太原理工大学 | A kind of method for predicting sulfur content in coke |
| CN108520169A (en) * | 2018-04-09 | 2018-09-11 | 山西汾渭能源开发咨询有限公司 | One kind predicting coke sulphur transformation model by ash component and volatile matter |
| WO2020147607A1 (en) * | 2019-01-17 | 2020-07-23 | 中冶焦耐(大连)工程技术有限公司 | Process and system for treating tail gas from desulfurization regeneration tower for coke oven coal gas |
| CN113033873A (en) * | 2021-03-02 | 2021-06-25 | 华电邹县发电有限公司 | Method for predicting content of sulfur oxides at inlet of desulfurization system based on measurement of coal quality entering furnace |
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