Effect of CO2 temperature and particle size distribution of fuel on the gasification kinetic parameters / A. G. Korotkikh, K. V. Slusarskiy (Slyusarsky)
Уровень набора: (RuTPU)RU\TPU\network\20157, 11th International Forum on Strategic Technology (IFOST 2016), 1-3 June 2016, Novosibirsk, Russiain, in 2 pt., [proceedings] / Novosibirsk State Technical University = 2016Язык: английский.Страна: Россия.Серия: Applied engineeringРезюме или реферат: The three coal char samples gasification processes at various temperature in carbon dioxide were studied via thermogravimetry analyzer Netzsch STA 449. Samples of Kuznetskiy deposit anthracite and bituminous coal and Kansko-Achinskiy deposit lignite with different carbon content were used. Experimental results were analyzed via three kinetic models: volumetric, shrinking core and random pore. The particle size distribution function was used as well. The obtained activation energy values are in good agreement with previously published data. The particle size distribution function implementation in reaction rate analysis allowed to increase a correlation coefficient value up to 0,9 for all models..Примечания о наличии в документе библиографии/указателя: [References: p. 583 (8 tit.)].Аудитория: .Тематика: электронный ресурс | труды учёных ТПУ | gasification | coal | particle size | thermogravimetry | kinetic model | activation energy | carbon dioxide | temperature | газификация | угли | частицы | термогравиметрия | кинетические модели | размеры | энергия активации | углекислый газ | температура Ресурсы он-лайн:Щелкните здесь для доступа в онлайнTitle screen
[References: p. 583 (8 tit.)]
The three coal char samples gasification processes at various temperature in carbon dioxide were studied via thermogravimetry analyzer Netzsch STA 449. Samples of Kuznetskiy deposit anthracite and bituminous coal and Kansko-Achinskiy deposit lignite with different carbon content were used. Experimental results were analyzed via three kinetic models: volumetric, shrinking core and random pore. The particle size distribution function was used as well. The obtained activation energy values are in good agreement with previously published data. The particle size distribution function implementation in reaction rate analysis allowed to increase a correlation coefficient value up to 0,9 for all models.
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