CN113468462A - Method for predicting sulfur content in coke oven gas - Google Patents

Method for predicting sulfur content in coke oven gas Download PDF

Info

Publication number
CN113468462A
CN113468462A CN202110728775.0A CN202110728775A CN113468462A CN 113468462 A CN113468462 A CN 113468462A CN 202110728775 A CN202110728775 A CN 202110728775A CN 113468462 A CN113468462 A CN 113468462A
Authority
CN
China
Prior art keywords
coal
coke
gas
sulfur
coke oven
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN202110728775.0A
Other languages
Chinese (zh)
Other versions
CN113468462B (en
Inventor
王永
侯宏宇
袁玲
钱峰
王飞
刘芳
徐伟
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Angang Steel Co Ltd
Original Assignee
Angang Steel Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Angang Steel Co Ltd filed Critical Angang Steel Co Ltd
Priority to CN202110728775.0A priority Critical patent/CN113468462B/en
Publication of CN113468462A publication Critical patent/CN113468462A/en
Application granted granted Critical
Publication of CN113468462B publication Critical patent/CN113468462B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • 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
    • 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

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Mathematical Physics (AREA)
  • Chemical & Material Sciences (AREA)
  • Theoretical Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • General Physics & Mathematics (AREA)
  • Databases & Information Systems (AREA)
  • Health & Medical Sciences (AREA)
  • Pure & Applied Mathematics (AREA)
  • Mathematical Analysis (AREA)
  • Software Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Computational Mathematics (AREA)
  • Mathematical Optimization (AREA)
  • Biomedical Technology (AREA)
  • Environmental & Geological Engineering (AREA)
  • Algebra (AREA)
  • Analytical Chemistry (AREA)
  • General Chemical & Material Sciences (AREA)
  • Oil, Petroleum & Natural Gas (AREA)
  • Chemical Kinetics & Catalysis (AREA)
  • Coke Industry (AREA)

Abstract

The invention relates to a method for predicting the content of sulfur 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:
Figure DDA0003138544720000011
ηaverage＝(η1+η2+…+ηn) N, formula (2); s ═ m1×ηAverage×WCoal (coal)×SCoal (coal)‑m2SChemical desulfurization)×109/VGas (es)Formula (3); the method can quickly predict and calculate the sulfur content in the coke oven gas without online sampling and gas chromatography, can reduce the operation cost of enterprises, improve the field detection efficiency, and can guide subordinate users to achieve standard discharge.

Description

Method for predicting sulfur content in coke oven gas
Technical Field
The invention relates to the technical field of flue gas desulfurization, in particular to a method for predicting the content of sulfur in coke oven gas.
Background
At present, China clearly requires that the sulfur dioxide emission of heat treatment furnaces such as heating furnaces and the like is not more than 50mg/m3(ii) a For kilns using only mixed gas or coke oven gas as fuel, the content of sulfur dioxide is only related to the sulfur element in the fuel. Coke oven gas contains, in addition to hydrogen sulfide, organic sulfur such as carbon disulfide, carbonyl sulfide, methyl mercaptan, etc., which can also generate sulfur dioxide after combustion. Some enterprises are provided with hydrogen sulfide detection equipment for flue gas, and can also remove hydrogen sulfide in the flue gas, so that the hydrogen sulfide can be removed from 3-6 g/m3Removing to 200mg/m3Below, even 20mg/m3The following. But generally, organic sulfur in the coke oven gas has no detection means or risk-removing means, and with the increasing strictness of environmental requirements, the content of the organic sulfur influences whether downstream users can achieve standard emission or not.
The Chinese patent application with publication number 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 blast furnace gas can not be accurately detected. It comprises the following steps of sampling; burning the sample, transferring the blast furnace gas sample into a burning pipe for burning, and introducing oxygen and hydrogen into the burning pipe simultaneously in the burning process of the blast furnace gas at the temperature of 800-; 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, has simple and convenient operation and low detection cost, and is suitable for the detection of 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, which comprises the steps of firstly extracting sample gas in the industrial gas by a trace sample injector and exhausting the sample gas, repeating the operation for 2-3 times, extracting 200ml of sulfide-containing sample gas to be detected, and then injecting the sample gas at a constant speed by an automatic sample injector; in the process, high-purity nitrogen is used as carrier gas, gas to be detected containing sulfide is carried, the gas is separated by a chromatographic column filled with a stationary phase under a certain chromatographic condition, the gas is measured by a flame photometric detector, a computer records corresponding gas chromatogram obtained by the flame photometric detector, qualitative analysis is carried out according to retention time of a chromatographic peak, and quantitative analysis is carried out according to the area of the chromatographic peak. The method can accurately detect the components and the content of the sulfide in the industrial gas, thereby realizing the purposes of energy conservation and emission reduction through continuous monitoring and improvement. The technical scheme can analyze the total sulfur in the coal gas, and the main method is to burn the coal gas in high-purity hydrogen, produce hydrogen sulfide from all sulfides after burning, and detect the hydrogen sulfide through chromatography.
The Chinese patent application with the publication number of CN108490148A discloses an on-line detection device and a detection method for the content of total sulfur in fuel gas, wherein the on-line detection device comprises a combustion reaction furnace, an on-line gas and flue gas detection system and a data acquisition and processing system; can accurately and timely guide the production of the coal gas desulfurization process and 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 content of total sulfur in the gas is calculated according to the amount of generated sulfur dioxide.
It can be seen that if the organic sulfur content is detected, the currently common method is to burn coal gas under the condition of hydrogen to generate hydrogen sulfide, and detect the hydrogen sulfide through chromatography. Or burning the coal gas under oxygen, and detecting the amount of generated sulfur dioxide. However, the detection of elemental sulfur in blast furnace gas by gas chromatography is slow and complicated. 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 integrated into daily detection. Moreover, the price of the gas chromatography instrument is expensive, which will undoubtedly increase the production and operation costs for the enterprises. Therefore, it is imperative to develop a method for rapidly, simply and conveniently detecting the sulfur content in the coke oven gas.
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 operation cost of enterprises, improve the field detection efficiency, and can guide subordinate users to achieve standard emission.
In order to achieve the purpose, the invention adopts the following technical scheme:
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:
Figure BDA0003138544700000021
in formula (1), η: sulfur distribution,%;
Wcoal (coal): the weight of coal as fired, t;
Hcoal (coal): ash content of coal as fired,%;
Scoal (coal): sulfur content of as-fired coal,%;
Fcoal (coal): volatile matter of coal as fired,%;
K1: the value of the correction coefficient of the volatile matter of the coal as fired is 4.00-5.00;
Wcoke (coke): weight of the discharged coke, t;
Scoke (coke): sulfur content,%, of the out-of-furnace coke;
K2: the distribution coefficient of sulfur in coal tar is 0.25-0.65%;
Wtar oil: mass of coal tar, t;
ηaverage＝(η1+η2+…+ηn) Formula/n (2)
In the formula (2), ηAverage: average sulfur distribution,%;
n: the detection times are n is more than or equal to 30;
S＝(m1×ηaverage×WCoal (coal)×SCoal (coal)-m2SChemical desulfurization)×109/VGas (es)Formula (3)
In the formula (3), m1: the monthly average sulfur distribution rate correction coefficient is 0.93-1.06;
m2: the value of a correction coefficient of chemical desulphurization is 1.03-1.08;
Schemical desulfurizationThe quality of chemical desulphurization, t;
Vgas (es): volume of coke oven gas, m3；
S: content of sulfur in coal gas, mg/m3。
Eta ofAverageIs the average distribution rate of the last data acquisition period, which is a month or a year.
The coal as fired comprises gas coal, fat coal, coking coal, lean coal and 1/3 coking coal, and the sulfur content of the coal as fired refers to the average sulfur content of various coals, all calculated on a dry basis.
The discharged coke is full coke and comprises qualified coke, discharged coke, 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, the sulfur content in the coke oven gas can be quickly estimated by a computer only by utilizing daily detection data of various raw materials of the coke oven, and the method is simple and easy to implement;
2) the method can avoid the problem that the actually measured sulfur content component data at a certain time point has deviation due to working condition fluctuation, and the predicted sulfur content data is accurate enough to guide daily production;
3) expensive gas chromatographs do not need to be purchased, so that the production and operation costs are reduced;
4) the method has certain guiding significance for realizing standard emission when the downstream users use the coke oven gas by predicting the sulfur content in the coke oven gas.
Drawings
FIG. 1 is a schematic diagram illustrating the principle of the method for predicting sulfur content in coke oven gas according to the present invention.
Detailed Description
The following further describes embodiments of the present invention with reference to 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:
Figure BDA0003138544700000041
in formula (1), η: sulfur distribution,%;
Wcoal (coal): the weight of coal as fired, t;
Hcoal (coal): ash content of coal as fired,%;
Scoal (coal): sulfur content of as-fired coal,%;
Fcoal (coal): volatile matter of coal as fired,%;
K1: the value of the correction coefficient of the volatile matter of the coal as fired is 4.00-5.00;
Wcoke (coke): weight of the discharged coke, t;
Scoke (coke): sulfur content,%, of the out-of-furnace coke;
K2: the distribution coefficient of sulfur in coal tar is 0.25-0.65%;
Wtar oil: mass of coal tar, t;
ηaverage＝(η1+η2+…+ηn) Formula/n (2)
In the formula (2), ηAverage: average sulfur distribution,%;
n: the detection times are n is more than or equal to 30;
S＝(m1×ηaverage×WCoal (coal)×SCoal (coal)-m2SChemical desulfurization)×109/VGas (es)Formula (3)
In the formula (3), m1: and the monthly average sulfur distribution rate correction coefficient takes the value of 0.93～1.06；
m2: the value of a correction coefficient of chemical desulphurization is 1.03-1.08;
Schemical desulfurizationThe quality of chemical desulphurization, t;
Vgas (es): volume of coke oven gas, m3；
S: content of sulfur in coal gas, mg/m3。
Eta ofAverageIs the average distribution rate of the last data acquisition period, which is a month or a year.
The coal as fired comprises gas coal, fat coal, coking coal, lean coal and 1/3 coking coal, and the sulfur content of the coal as fired refers to the average sulfur content of various coals, all calculated on a dry basis.
The discharged coke is full coke and comprises qualified coke, discharged coke, furnace end coke and CDQ powder.
As shown in FIG. 1, the principle of the method for predicting the sulfur content in coke oven gas of the invention is as follows: the coal data of a measuring and calculating period, including the quality of coal, the sulfur content in the coal, the quality of produced coke, the sulfur content in the coke, the chemical desulfurization amount and the produced coke oven gas amount, are counted, the detection data are used as basic data to be input into a computer, and the sulfur content in the coke oven gas can be predicted by calculating through a preset formula.
The average sulfur distribution rate may be calculated in units of months and years, or may be calculated in units of measurement cycles by setting the measurement cycles as necessary.
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 the sulfur element in the coke oven gas can be rapidly predicted, and a certain guiding significance can be provided for the daily use of the coke oven gas by a subordinate user. If the enterprise adopts daily output data, the sulfur content in the coke oven gas can be more accurately predicted, and a more important guiding function can be played for the lower-level users to achieve standard emission.
The following examples are carried out on the premise of the technical scheme of the invention, and detailed embodiments and specific operation processes are given, but the scope of the invention is not limited to the following examples. Any person skilled in the art should be able to substitute or change the technical solution of the present invention and its inventive concept within the technical scope of the present invention.
[ example 1 ]
In this example, a 6m coke oven of a certain steel plant is taken as an example.
1.1 composition of raw coal charged into the coke oven, see Table 1.1 for details.
TABLE 1.1 structural composition of raw coal charged into coke oven
Figure BDA0003138544700000051
The index of 1.2J is shown in Table 1.2.
TABLE 1.2 Coke indices
Figure BDA0003138544700000052
1.3 chemical desulfurization data, detailed in Table 1.3.
TABLE 1.3 chemical desulfurization data
Figure BDA0003138544700000053
1.4 the coke oven gas and tar indexes produced are detailed in Table 1.4.
TABLE 1.4 Coke oven gas and Tar
Figure BDA0003138544700000061
1.5 the predicted sulfur content and detection value of the coke oven gas are detailed in Table 1.5.
TABLE 1.5 Sulfur element content and measured value (. eta.) in Coke oven gasAverage＝0.14)
Figure BDA0003138544700000062
[ example 2 ]
In this example, a 6m coke oven of a certain steel plant is taken as an example.
1.1 composition of raw coal charged into the coke oven, see Table 2.1 for details.
TABLE 2.1 structural composition of raw coal charged into coke oven
Figure BDA0003138544700000063
The index of 1.2J is shown in Table 2.2.
TABLE 2.2 Coke indices
Figure BDA0003138544700000064
1.3 chemical desulfurization data, detailed in Table 2.3.
TABLE 2.3 chemical desulfurization data
Figure BDA0003138544700000065
1.4 the coke oven gas and tar indexes produced are detailed in Table 2.4.
TABLE 2.4 Coke oven gas and Tar produced
Figure BDA0003138544700000066
1.5 the predicted sulfur content and detection value of the coke oven gas are shown in the table 2.5.
Table 2.5 predicted sulfur content and measured value (η average 0.16) in coke oven gas
Figure BDA0003138544700000071
[ example 3 ]
In this example, a 7m coke oven of a certain steel plant is taken as an example.
1.1 composition of raw coal charged into the coke oven, see Table 3.1 for details.
TABLE 3.1 structural composition of raw coal charged into coke oven
Figure BDA0003138544700000072
The index for 1.2J is shown in Table 3.2.
TABLE 3.2 Coke indices
Figure BDA0003138544700000073
1.3 chemical desulfurization data, detailed in Table 3.3.
TABLE 3.3 chemical desulfurization data
Figure BDA0003138544700000074
1.4 the coke oven gas and tar indexes produced are detailed in Table 3.4.
TABLE 3.4 Coke oven gas and Tar produced
Figure BDA0003138544700000075
1.5 the predicted sulfur content and detection value of the coke oven gas are shown in the table 3.5.
TABLE 3.5 Sulfur content and measured value (. eta.) of coke oven gasAverage＝0.13)
Figure BDA0003138544700000076
[ example 4 ]
In this example, a 7m coke oven of a certain steel plant is taken as an example.
1.1 composition of raw coal charged into the coke oven, see Table 4.1 for details.
TABLE 4.1 structural composition of raw coal charged into coke oven
Figure BDA0003138544700000081
The index for 1.2J is shown in Table 4.2.
TABLE 4.2 Coke indices
Figure BDA0003138544700000082
1.3 chemical desulfurization data, detailed in Table 4.3.
TABLE 4.3 chemical desulfurization data
Figure BDA0003138544700000083
1.4 the coke oven gas and tar indexes produced are detailed in Table 4.4.
TABLE 4.4 Coke oven gas and Tar produced
Figure BDA0003138544700000084
1.5 the predicted sulfur content and detection value of the coke oven gas are shown in Table 4.5.
TABLE 4.5 Sulfur content and measured value (. eta.) of coke oven gasAverage＝0.15)
Figure BDA0003138544700000085
[ example 5 ]
In this example, a 6m coke oven of a certain steel plant is taken as an example.
1.1 composition of raw coal charged into the coke oven, see Table 5.1 for details.
TABLE 5.1 structural composition of raw coal charged into coke oven
Figure BDA0003138544700000091
The index for 1.2J is shown in Table 5.2.
TABLE 5.2 Coke indices
Figure BDA0003138544700000092
1.3 chemical desulfurization data, detailed in Table 5.3.
TABLE 5.3 chemical desulfurization data
Figure BDA0003138544700000093
1.4 the coke oven gas and tar indexes produced are detailed in Table 5.4.
TABLE 5.4 Coke oven gas and Tar produced
Figure BDA0003138544700000094
1.5 the predicted sulfur content and detection value of the coke oven gas are shown in Table 5.5.
TABLE 5.5 Sulfur content and measured value (. eta.) of coke oven gasAverage＝0.15)
Figure BDA0003138544700000095
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.

Claims (3)

1. A method for predicting the sulfur content in coke oven gas is characterized by comprising the following steps: collecting data, and calculating the sulfur content in the coke oven gas by using the following formula:
Figure FDA0003138544690000011
in formula (1), η: sulfur distribution,%;
Wcoal (coal): the weight of coal as fired, t;
Hcoal (coal): ash content of coal as fired,%;
Scoal (coal): sulfur content of as-fired coal,%;
Fcoal (coal): volatile matter of coal as fired,%;
K1: the value of the correction coefficient of the volatile matter of the coal as fired is 4.00-5.00;
Wcoke (coke): weight of the discharged coke, t;
Scoke (coke): sulfur content,%, of the out-of-furnace coke;
K2: the distribution coefficient of sulfur in coal tar is 0.25-0.65%;
Wtar oil: mass of coal tar, t;
ηaverage＝(η1+η2+…+ηn) Formula/n (2)
In the formula (2), ηAverage: average sulfur distribution,%;
n: the detection times are n is more than or equal to 30;
S＝(m1×ηaverage×WCoal (coal)×SCoal (coal)-m2SChemical desulfurization)×109/VGas (es)Formula (3)
In the formula (3), m1: the monthly average sulfur distribution rate correction coefficient is 0.93-1.06;
m2: the value of a correction coefficient of chemical desulphurization is 1.03-1.08;
Schemical desulfurizationChemical dehydrationMass of sulfur, t;
Vgas (es): volume of coke oven gas, m3；
S: content of sulfur in coal gas, mg/m3。
2. The method of claim 1, wherein the coal as fired comprises gas coal, fat coal, coking coal, lean coal and 1/3 coking coal, and the sulfur content of the coal as fired is an average sulfur content of each coal, all calculated on a dry basis.
3. The method of claim 1, wherein the out-of-furnace coke is full coke and comprises qualified coke, out-of-grid coke, furnace head coke and CDQ powder.
CN202110728775.0A 2021-06-29 2021-06-29 Method for predicting sulfur content in coke oven gas Active CN113468462B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202110728775.0A CN113468462B (en) 2021-06-29 2021-06-29 Method for predicting sulfur content in coke oven gas

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110728775.0A CN113468462B (en) 2021-06-29 2021-06-29 Method for predicting sulfur content in coke oven gas

Publications (2)

Publication Number Publication Date
CN113468462A true CN113468462A (en) 2021-10-01
CN113468462B CN113468462B (en) 2024-05-14

Family

ID=77873805

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202110728775.0A Active CN113468462B (en) 2021-06-29 2021-06-29 Method for predicting sulfur content in coke oven gas

Country Status (1)

Country Link
CN (1) CN113468462B (en)

Citations (4)

* Cited by examiner, † Cited by third party
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

Patent Citations (4)

* Cited by examiner, † Cited by third party
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

Also Published As

Publication number Publication date
CN113468462B (en) 2024-05-14

Similar Documents

Publication Publication Date Title
Frigge et al. Release of sulfur and chlorine gas species during coal combustion and pyrolysis in an entrained flow reactor
CN106844832B (en) Carbon emission accounting method based on industrial analysis, total sulfur and heat productivity data
Bläsing et al. Release of alkali metal, sulphur, and chlorine species from high temperature gasification of high-and low-rank coals
CN1800848A (en) Combustion type gas heat value measuring method and heat value meter thereof
CN101038276A (en) Method and device for detecting coal powder performance
Cano et al. Characterization of condensable particulate matter emissions in agricultural diesel engines using a dilution-based sampling train
Konieczyński et al. The release of trace elements in the process of coal coking
CN203870075U (en) Active coke desulfurization and denitration performance characterization test device
CN113468462A (en) Method for predicting sulfur content in coke oven gas
Woolcock et al. Analysis of trace contaminants in hot gas streams using time-weighted average solid-phase microextraction: Pilot-scale validation
CN111829867B (en) Method for rapidly determining sulfur species in solid-phase minerals by using infrared-temperature programming oxidation combination method
CN113421618B (en) Method for predicting sulfur content in blast furnace gas
von Bohnstein et al. Comparison of cfd simulations with measurements of gaseous sulfur species concentrations in a pulverized coal fired 1 mwth furnace
Khare et al. Estimation of emissions of SO2, PM2. 5, and metals released from coke ovens using high sulfur coals
CN102914613A (en) Method for analyzing hydrogen sulfide in coke oven gas
Maloney et al. Evaluation of char combustion models: measurement and analysis of variability in char particle size and density
Benito Abascal et al. Influence of steam, hydrogen chloride, and hydrogen sulfide on the release and condensation of zinc in gasification
CN109635464A (en) A kind of steel mill's sulfur content in gas flexible measurement method
Boiko Research on kinetics of the thermal processing of brown coals of various oxidative ageing degree using the non-isothermal methods
CN2886570Y (en) Combustion type calorimeter for measuring gas heat value
CN114487161A (en) Analysis method and device capable of quantitatively measuring coal low-temperature oxidation gas generation amount
CN203758975U (en) Analyzing device for simulating cigarette burning absorption based on controllable equivalent-ratio method
CN208537256U (en) SO in a kind of coke oven flue gas2Content detection system
JPH06207933A (en) Estimation of yield of product through carbonization of coal
Yang et al. An index of fluidity-temperature area for evaluating cohesiveness of coking coal by Gieseler fluidity characterization

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant