کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
209441 461670 2015 17 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Development and validation of CFD models for gas phase reactions in biomass grate furnaces considering gas streak formation above the packed bed
موضوعات مرتبط
مهندسی و علوم پایه مهندسی شیمی مهندسی شیمی (عمومی)
پیش نمایش صفحه اول مقاله
Development and validation of CFD models for gas phase reactions in biomass grate furnaces considering gas streak formation above the packed bed
چکیده انگلیسی


• The streak formation model based on a correlation between the local gas residence time and a mixing time is introduced.
• A near wall combustion approach is developed.
• The streak formation model is linked with the hybrid gas phase reaction model.
• The results obtained with the hybrid-streak model are in good agreement with experimental data.

State-of-the-art packed bed models supply continuous concentration profiles as boundary conditions for subsequent CFD simulations of gas phase, leading to pre-mixed combustion conditions. However, in reality the “porous” nature of the packed bed leads to streak formation influencing gas mixing and combustion. Therefore, in the present work, in order to account for the influence of the streaks on gas phase combustion, a gas streak model based on a correlation between the local gas residence time and a mixing time has been developed based on numerical simulations. Finally, the streak model was linked with an in-housed developed hybrid gas phase combustion model suitable for laminar to highly turbulent flow conditions and applied for an under-feed pellet stoker furnace (20 kWth) concerning the simulation of gas phase combustion and NOx formation. The results in comparison with a simulation without the streak formation model show that the flue gas species prediction can be improved with the proposed streak formation model. Especially, in the region above the fuel bed (in the primary combustion chamber), this is of special importance for NOx reduction by primary measures.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Fuel Processing Technology - Volume 139, November 2015, Pages 142–158
نویسندگان
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