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Three-dimensional numerical modelling of a fast fluidized bed biomass gasifier to generate energy from wastes
Authors:Hassan Ali Ozgoli  Sara Deilami  Maryam Ghodrat  Sadegh Safari  Mohammad Hossein Mirabi  Tomomewo Stanley Olusegun
Affiliation:1. Department of Mechanical Engineering, Iranian Research Organization for Science and Technology (IROST), Tehran, Iran;2. School of Engineering, Macquarie University, Sydney, NSW, Australia;3. School of Engineering and Information Technology, University of New South Wales Canberra, Canberra, ACT, Australia;4. Department of Energy Engineering, Faculty of Natural Resources and Environment, Science and Research Branch, Islamic Azad University (IAU), Tehran, Iran;5. Department of Civil Engineering, University of Qom, Qom, Iran;6. Institute for Energy Studies, University of North Dakota, Grand Forks, North Dakota, USA

Contribution: Visualization, Writing - review & editing

Abstract:The modelling of a biomass fluidized bed gasification system, one of the most effective ways to produce energy from biomass resources and wastes, has been performed in this study. The effect of the turbulence phenomena, including calculations relating to flow turbulence, chemical fuel reactions, and energy and momentum exchange between multiple solid and gas phases, has been taken into account in the current research as a novel approach. A computational fluid dynamics case study model that combines equations with comprehensive geometry has been considered. Results have been compared with published operational records of an existing power plant to validate the model. The solid particle distribution, the velocity of the mixture and gas phase, the turbulent flow viscosity ratio, and the temperature distribution in the model indicated the accuracy of the simulation performance compared with the experimental studies. The production of the molar fraction of the constituent elements of the synthesis gas has been evaluated in transient conditions. Additionally, 35 s after the process began, the system's performance was estimated, and the results indicated the average molecular weights of hydrogen, carbon monoxide, carbon dioxide, and methane are 26%, 23%, 12.5%, and 3.3%, respectively, which presented high precision with the experimental results.
Keywords:biomass gasification  computational fluid dynamics  fluidized bed  power generation
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