Study of the Thermal Performance of an Industrial Alumina Chlorination Reactor based on CPFD Simulation

CPFD Modeling to study the Hydrodynamics of an Industrial Fluidized Bed Reactor for Alumina Chlorination

“…The reactor height has been chosen relatively high enough to avoid particle escape in fluidization. The alumina size and reaction kinetics are based on (Barahmand et al, 2021b). The Archimedes number for the alumina sample can be calculated as 3.59 (Geldart group A).…”

“…Thus, the results show that the bed aspect ratio (above unity) harms the reaction conversion. Although the H/D equal to unity shows the best performance in reaction conversion, to choose a proper bed aspect ratio, it is necessary to consider the whole hydrodynamics of the bed (Barahmand et al, 2021a(Barahmand et al, , 2021b. Too low H/D can cause channeling, and it may reduce the reaction efficiency.…”

CPFD Simulations on a Chlorination Fluidized Bed Reactor for Aluminum Production: an Optimization Study

“…On the other hand, reaction kinetics is highly correlated with temperature, particle size distribution, and porosity (Barahmand et al, 2021d). Heat Transfer: Although the primary goal of the present study is to touch the project objectives under isothermal conditions at 700℃, the thermal study of the chlorination process is one of the most critical design considerations (Barahmand et al, 2021c). The literature confirms that the best and optimum temperature for the alumina chlorination process is 700℃, but taking the industrial design limitations into account, 600℃ will be the optimum temperature (Gokcen, 1983).…”

“…In continuation of the studies on a New Sustainable Aluminum Production (NSAP) process (Barahmand, Aghaabbasi, et al, 2021;Barahmand, Jayarathna, et al, 2021d, 2021a, 2021c, 2021b, this optimization study aims to design an industrial alumina chlorination fluidized bed reactor (isothermally) to achieve the minimum particle outflow and to improve the hydrodynamics inside the reactor by minimizing the channeling effect in the dense phase bed.…”

Anaerobic Digestion Process Modeling Under Uncertainty: A Narrative Review

“…There is a significant fluctuation in the results when specific assumptions are changed when sensitivity is high; these assumptions must be extremely well established. Changing specific assumptions when sensitivity is high results in significant changes in the output; these assumptions should be extremely well established [15,23].…”