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1. Aspen Plus simulation of Chemical Looping Combustion of syngas and methane in fluidized beds

   https://doi.org/10.1007/s43938-023-00020-x  

   Jasper, Micah ; Shahbazi, Abolghasem ; Schimmel, Keith ; Li, Fanxing ; Wang, Lijun ( December 2023 , Discover Chemical Engineering)

   Abstract Chemical Looping Combustion (CLC) is a technology that efficiently combines power generation and CO 2 capture. In CLC, the fuel is oxidized by a metal oxide called an oxygen carrier (OC). CLC uses two reactors: a fuel reactor and an air reactor. The fuel reactor oxidizes the fuel and reduces the OC. The air reactor oxidizes the OC using air and then the OC is cycled back to the fuel reactor. It is typical for both the fuel and the air reactors to be fluidized beds (FBs). In this research, an Aspen Plus model was developed to simulate a CLC system. Aspen Plus has recently included a built-in FB unit operation module. To our knowledge, no literature has been reported using this FB module for simulating fluidized bed combustion or gasification. This FB unit process was investigated in Aspen Plus and a kinetic based model was used and compared the simulation results to experimental data and the commonly used Gibbs equilibrium model. The FB unit and the kinetic model well fit the experimental data for syngas and methane combustion within 2% of the molar composition of syngas combustion and within 4% for the methane combustion. An advantage of thismore »model over other kinetic models in literature is that the core shrinking model kinetic rate equations have been converted into a power law form. This allows Aspen Plus to use a calculator instead of an external Fortran compiler. This greatly simplifies the modeling process. The reaction rate equations are given for all reactions. A sensitivity analysis of the reaction kinetics was conducted. All data, code, and simulation files are given.« less
2. Mechanistic simulation of batch acetone–butanol–ethanol (ABE) fermentation with in situ gas stripping using Aspen Plus™

   https://doi.org/10.1007/s00449-018-1956-6  

   Darkwah, Kwabena ; Nokes, Sue E. ; Seay, Jeffrey R. ; Knutson, Barbara L. ( September 2018 , Bioprocess and Biosystems Engineering)
3. Pretreatment for water reuse using fluidized bed crystallization

   https://doi.org/10.1016/j.jwpe.2020.101226  

   AzadiAghdam, Mojtaba ; Park, Minkyu ; Lopez-Prieto, Israel J. ; Achilli, Andrea ; Snyder, Shane A. ; Farrell, James ( June 2020 , Journal of Water Process Engineering)
4. Dense Discrete Phase Model Coupled with Kinetic Theroy of Granular Flow to Improve Predictions of Bubbling Fluidized Bed Hydrodynamics

   Hashemisohi, Abolhasan ( September 2018 , Kona powder and particle journal)

   Formation, expansion, and breakage of bubbles in single bubble and freely bubbling fluidized beds were studied using an improved hybrid Lagrangian-Eulerian computational fluid dynamics (CFO) approach. Dense Discrete Phase Model (DDPM) is a novel approach to simulate industrial scale fluidized bed reactors with polydispersed particles. The model uses a hybrid Lagrangian-Eulerian approach to track the particle parcels (lumping several particles in one computational cell) in a Lagrangian framework according to Newton's laws of motion. The interactions between particles are estimated by the gradient of solids stress solved in Eulerian grid. In this work. a single bubble fluidized bed and a freely bubbling fluidized bed were simulated using DDPM coupled with kinetic theory of granular flows (KTGF). The solid stress was improved to include both tangential and normal forces compared to current hybrid methods with the consideration of only normal stress or solid pressure. The results showed that solid pressure (normal forces) as the only contributor in solid stress would lead to over prediction of bubble size and overlooking of bubble breakage in a single bubble bed. Also, the results showed the improved model bad a good prediction of bubble path in a freely bubbling bed compared to solid pressure-based model.more »It was shown that increasing the restitution coefficient increased the particle content of the bubbles and it lead to less breakage during the formation of the bubble. The probability of formation of bubbles was compared with experimental results and solid stress model showed less discrepancies compared to the solid pressure-based model.« less
5. Numerical analysis of hydrodynamics in a thin bubbling fluidized bed with particles at various size distributions using a three-dimensional dense discrete phase model

   https://doi.org/https://doi.org/10.1016/j.partic.2019.04.001  

   Hashemisohi, A. ( April 2020 , Particuology)

   Numerical Analysis of Bubbling Fluidized-bed Biomass Gasifier