WO2012103600A3 - Coal blend models for determining coke quality - Google Patents
Coal blend models for determining coke quality Download PDFInfo
- Publication number
- WO2012103600A3 WO2012103600A3 PCT/BA2012/000001 BA2012000001W WO2012103600A3 WO 2012103600 A3 WO2012103600 A3 WO 2012103600A3 BA 2012000001 W BA2012000001 W BA 2012000001W WO 2012103600 A3 WO2012103600 A3 WO 2012103600A3
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- quality
- coke
- blend
- different
- coal
- 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.)
- Ceased
Links
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/22—Fuels; Explosives
- G01N33/222—Solid fuels, e.g. coal
Landscapes
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Engineering & Computer Science (AREA)
- Food Science & Technology (AREA)
- Medicinal Chemistry (AREA)
- Physics & Mathematics (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Coke Industry (AREA)
Abstract
Global Ispat Koksna Industrija"d.o.o. (GIKIL) developed Coal blend models linking interdependent input blend coal properties to output coal quality. The invention arose at the necessity of achieving a very high quality in coke quality parameters (about 5nos) with a proper blend mix of different coals. The models have been developed based on the operating data for the last 6 years for the different Coal Blend quality parameters and Coke quality. The models consist of different correlation equations for each output quality of coke with different blend quality parameters. Thus by knowing the input qualities of coals used in coke manufacture, the expected coke quality can be determined. Once the coke quality is predetermined, it allows planning the blend mix of different coals for the required blend quality and accordingly purchasing coals and manufacturing coke as per required quality.
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| BA112834 | 2011-02-01 | ||
| BABAP112834A | 2011-02-01 |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| WO2012103600A2 WO2012103600A2 (en) | 2012-08-09 |
| WO2012103600A3 true WO2012103600A3 (en) | 2012-10-04 |
Family
ID=45841133
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| PCT/BA2012/000001 Ceased WO2012103600A2 (en) | 2011-02-01 | 2012-01-30 | Coal blend models for determining coke quality |
Country Status (1)
| Country | Link |
|---|---|
| WO (1) | WO2012103600A2 (en) |
Families Citing this family (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104312609B (en) * | 2014-11-14 | 2016-05-04 | 武汉钢铁(集团)公司 | Control the blending method of coking coal index of basicity |
| CN107525882B (en) * | 2017-10-20 | 2019-08-02 | 太原理工大学 | A method of prediction sulfur content in coke |
| CN108717506B (en) * | 2018-06-25 | 2022-03-18 | 华北理工大学 | Method for predicting hot strength of coke |
| CN111029577B (en) * | 2019-11-12 | 2023-09-29 | 山西沁新能源集团股份有限公司 | Method for blending crystalline coke powder precursor coal |
| CN112098263B (en) * | 2020-09-14 | 2022-07-01 | 山西亚鑫新能科技有限公司 | Method for parameter comprehensive prediction of coke thermal strength model |
| CN112731868A (en) * | 2020-11-27 | 2021-04-30 | 山西焦化股份有限公司 | Refined intelligent coal blending system |
| CN113723668B (en) * | 2021-08-02 | 2022-05-10 | 华院计算技术(上海)股份有限公司 | Coal blending method, system, equipment and storage medium based on robust optimization |
| CN114955586B (en) * | 2022-06-27 | 2024-02-20 | 重庆钢铁股份有限公司 | System for predicting quality of coal blending coke of silo |
| CN117167771B (en) * | 2023-07-25 | 2025-02-25 | 华能武汉发电有限责任公司 | A control system for silo coal blending and combustion |
| CN119151068B (en) * | 2024-09-20 | 2025-06-13 | 北京爱熵科技有限公司 | A parameter generation method, coke quality prediction method and device |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1831087A (en) * | 2006-04-07 | 2006-09-13 | 安徽工业大学 | Coke Thermal Properties Prediction and Control Method |
-
2012
- 2012-01-30 WO PCT/BA2012/000001 patent/WO2012103600A2/en not_active Ceased
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1831087A (en) * | 2006-04-07 | 2006-09-13 | 安徽工业大学 | Coke Thermal Properties Prediction and Control Method |
Non-Patent Citations (5)
| Title |
|---|
| A. S. STANKEVICH ET AL: "Predicting CSR and CRI of coke on the basis of the chemical and petrographic parameters of the coal batch and the coking conditions", COKE AND CHEMISTRY, vol. 51, no. 9, 1 September 2008 (2008-09-01), pages 357 - 363, XP055033182, ISSN: 1068-364X, DOI: 10.3103/S1068364X08090056 * |
| B. D. RYAN AND J. T. PRICE: "The Predicted Coke Strength After Reaction Values of British Columbia Coals, with Comparison to International Coals", GEOLOGICAL FIELDWORK 1992, January 1993 (1993-01-01), Canada, pages 507 - 516, XP002680393, Retrieved from the Internet <URL:http://www.em.gov.bc.ca/Mining/Geoscience/PublicationsCatalogue/Fieldwork/> [retrieved on 20120720] * |
| DIEZ M A ET AL: "Coal for metallurgical coke production: Predictions of coke quality and future requirements for cokemaking", INTERNATIONAL JOURNAL OF COAL GEOLOGY, ELSEVIER, AMSTERDAM, NL, vol. 50, no. 1-4, 1 May 2002 (2002-05-01), pages 389 - 412, XP002633398, ISSN: 0166-5162, [retrieved on 20020920], DOI: 10.1016/S0166-5162(02)00123-4 * |
| M. L. ULANOVSKII: "Predicting coke quality on the basis of CSR and CRI: A review", COKE AND CHEMISTRY, vol. 52, no. 10, 1 October 2009 (2009-10-01), pages 434 - 439, XP055033184, ISSN: 1068-364X, DOI: 10.3103/S1068364X09100044 * |
| ZHANG Q ET AL: "Prediction of coke quality at Baosteel", FUEL PROCESSING TECHNOLOGY, ELSEVIER BV, NL, vol. 86, no. 1, 15 November 2004 (2004-11-15), pages 1 - 11, XP004536332, ISSN: 0378-3820, DOI: 10.1016/S0378-3820(03)00058-4 * |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2012103600A2 (en) | 2012-08-09 |
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