ATTENTION-BASED DEEP LEARNING MODEL FOR FACIAL EXPRESSION RECOGNITIONDEVELOPMENT OF A CIRCULATING FLUIDIZED BED PARTIAL GASIFICATION PROCESS FOR CO-PRODUCTION OF METALLURGICAL SEMI-COKE AND SYNGAS AND ITS INTEGRATION WITH POWER PLANT FOR ELECTRICITY PRODUCTION

dc.contributor.authorTokmurzin, Diyar
dc.contributor.authorAdair, Desmond
dc.contributor.authorDyussekhanov, Timur
dc.contributor.authorSuleymenov, Kalkaman
dc.contributor.authorGolman, Boris
dc.contributor.authorAiymbetov, Berik
dc.date.accessioned2022-09-16T07:27:17Z
dc.date.available2022-09-16T07:27:17Z
dc.date.issued2022
dc.description.abstractCoal, coke, and semi-coke are currently irreplaceable materials in the iron and steel industry. Coal is converted to coke or semi-coke in fixed bed coke-ovens which have many drawbacks and cause environmental damage. A novel method for the production of semi-coke using circulating fluidized bed partial coal gasification is experimentally studied. The method involves a fast devolatilization stage which promises to reduce the effect on the environment compared to conventional cokeovens. Experiments are conducted with high volatile Shubarkol coal in a custom-made atmospheric reactor consisting of a riser, a cyclone, a loop seal, and equipped with a semi-coke withdrawal system. The reactor is operated autothermally, at temperatures varying from 700°C to 1000°C. The coal feed rate varies from 40 to 70 kg/h, with a particle size distribution up to 20mm. During the experiments, char samples are withdrawn from the riser and the standpipe. The samples have a volatile content of 3-6%, carbon content above 85%, high structural strength (92.64%), low bulk density (270 kg/m3) and high porosity (28.4%) compared to conventionally produced semi-coke. It is confirmed that even using the laboratory scale setup it is possible to produce up to 0.367 kg of semi-coke per kg of coal.en_US
dc.identifier.citationDiyar Tokmurzin, Desmond Adair, Timur Dyussekhanov, Kalkaman Suleymenov, Boris Golman & Berik Aiymbetov (2022) Development of a circulating fluidized bed partial gasification process for co-production of metallurgical semi-coke and syngas and its integration with power plant for electricity production, International Journal of Coal Preparation and Utilization, 42:3, 899-924, DOI: 10.1080/19392699.2019.1674842en_US
dc.identifier.issn1939-2702
dc.identifier.urihttps://doi.org/10.1080/19392699.2019.1674842
dc.identifier.urihttps://www.tandfonline.com/doi/full/10.1080/19392699.2019.1674842
dc.identifier.urihttp://nur.nu.edu.kz/handle/123456789/6708
dc.language.isoenen_US
dc.publisherTaylor and Francis Groupen_US
dc.relation.ispartofseriesINTERNATIONAL JOURNAL OF COAL PREPARATION AND UTILIZATION;2022, VOL. 42, NO. 3, 899–924 https://doi.org/10.1080/19392699.2019.1674842
dc.rightsAttribution-NonCommercial-ShareAlike 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/us/*
dc.subjectType of access: Open Accessen_US
dc.subjectcoalen_US
dc.subjectcokeen_US
dc.subjectsemi-cokeen_US
dc.subjectmetallurgical semi-cokeen_US
dc.subjectResearch Subject Categories::TECHNOLOGYen_US
dc.titleATTENTION-BASED DEEP LEARNING MODEL FOR FACIAL EXPRESSION RECOGNITIONDEVELOPMENT OF A CIRCULATING FLUIDIZED BED PARTIAL GASIFICATION PROCESS FOR CO-PRODUCTION OF METALLURGICAL SEMI-COKE AND SYNGAS AND ITS INTEGRATION WITH POWER PLANT FOR ELECTRICITY PRODUCTIONen_US
dc.typeArticleen_US
workflow.import.sourcescience

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