CFD simulation of cross-flow mixing in a packed bed using porous media model and experimental validation

2018 ◽  
Vol 6 (2) ◽  
pp. 157-162 ◽  
Author(s):  
Kamyar Mohammadpour ◽  
Ali Alkhalaf ◽  
Eckehard Specht
Keyword(s):  
Porous Media ◽  
Experimental Validation ◽  
Cfd Simulation ◽  
Cross Flow ◽  
Packed Bed ◽  
Flow Mixing ◽  
Porous Media Model

scholarly journals CFD simulation of reactive flow in parallel flow regenerative shaft kilns using porous media model

2021 ◽  
pp. 281-281
Author(s):  
Kamyar Mohammadpour ◽  
Ali Alkhalaf ◽  
Ali Chitsazan ◽  
Eckehard Specht
Keyword(s):  
Porous Media ◽  
Cross Section ◽  
Cfd Simulation ◽  
Packed Bed ◽  
Flame Length ◽  
Parallel Flow ◽  
Reactive Flow ◽  
Porous Media Model ◽  
Temperature Homogenization ◽  
The Cross

Understanding the flow pattern of the gas jets in packed beds can have considerable significance in improving reactor design and process optimization. This study researches the fuel diffusion in the radial direction and the flame length in a packed bed of a Parallel Flow Regenerative (PFR) Shaft kiln. This kiln is characterized that the fuel is injected vertically in the packed bed using a lot of lances in the cross-section while the combustion air is distributed continuously. Such a large, packed bed has to be approximated as a porous media. This assumption is used to model the reactive flow in the kilns. Using a box with 700 spheres of 52 mm spheres in Body-Centered Cube (B.C.C.) arrangement the local concentrations of injected nitrogen in airflow were measured. The measured values match approximately with those calculated with the Porous Media Model (PMM). The studied parameters are the number of burners and burner arrangements. The radial mixing of fuel and air in a packed bed is relatively bad. Therefore, a lot of burners are needed for better temperature homogenization in the cross-section.

scholarly journals CFD Simulation of Dry Pressure Drop in a Cross-Flow Rotating Packed Bed

2021 ◽  
Vol 11 (21) ◽  
pp. 10099
Author(s):  
Chao Zhang ◽  
Weizhou Jiao ◽  
Youzhi Liu ◽  
Guisheng Qi ◽  
Zhiguo Yuan ◽  
...  
Keyword(s):  
Pressure Drop ◽  
Gas Flow ◽  
Cfd Simulation ◽  
Complex Structure ◽  
Scale Up ◽  
Cross Flow ◽  
Packed Bed ◽  
Rotating Packed Bed ◽  
Porous Media Model ◽  
The Cross

The cross-flow rotating packed bed (RPB) has attracted wide attention in recent years because of its advantages of large gas capacity, low pressure drop and lack of flooding limitation. However, the complex structure of the packing makes it difficult to obtain the gas flow characteristics in the cross-flow RPB by experiments. In this study, the dry pressure drop in the cross-flow RPB was investigated by computational fluid dynamics (CFD). The packing was modeled by the porous media model and the rotation of the packing was simulated by the sliding mesh model. The simulation results obtained by three turbulence models were compared with experimental results, and the RNG k-ε model was found to best describe the turbulence behaviors in the cross-flow RPB. Then, the effects of gas flow rate and rotating speed on dry pressure drop in different parts of the cross-flow RPB were analyzed. The results of this study can provide important insights into the design and scale-up of cross-flow RPB.

scholarly journals CFD Simulation of CO2 and Methane Adsorption at Various Temperature for MOF-5 using Dual-site and Single-site Langmuir Model

CFD Letters ◽  
2021 ◽  
Vol 13 (10) ◽  
pp. 1-10
Author(s):  
Mohd Zul Amzar Zulkifli ◽  
Azfarizal Mukhtar ◽  
Muhammad Faizulizwan Mohamad Fadli ◽  
Anis Muneerah Shaiful Bahari ◽  
Akihiko Matsumoto ◽  
...  
Keyword(s):  
Energy Demand ◽  
Carbon Capture ◽  
Cfd Simulation ◽  
Co2 Adsorption ◽  
Minimum Energy ◽  
Packed Bed ◽  
Methane Adsorption ◽  
Adsorption Model ◽  
Porous Media Model ◽  
Dual Site

The annual increase in energy demand has led to an increase in greenhouse gas emissions, in particular CO2 emissions from the power generation industry. Carbon Capture and Utilization are technologies applied to capture CO2 gases and transform the gases into a different energy source. The adsorption technology to capture CO2 gases was chosen due to the minimum energy consumption and low costs required for an industrial application for sustainability. Metal-Organic Framework (MOF) has a reasonably high CO2 adsorption capability. It has been applied as an adsorbent for capturing and storing CO2. In this study, a comparison of CFD simulation with experimental CO2 and methane adsorption values in solid adsorbent beds containing MOF-5 at various temperatures was presented. The simulation was performed using 2D and 3D models from 0℃ at STP to 130℃ for CO2 and methane gas molecules. In addition, the isothermal and kinetic adsorption model was added to the simulations. This includes Single- and Dual-Site Langmuir adsorption isotherm and Linear Driving Force. The porous media model was then activated to imitate packed bed adsorbent and measured the pressure drop from the simulation. The results showed that the CO2 adsorption values of MOF-5 decrease as the adsorbent temperature increases. There was a decline of 0.002 mmol/g of adsorbed CO2 molecules per 10-kelvin difference. The CO2 adsorption value was 0.53 mmol/g at STP and 1.15 mmol/g for CH4 at STP. Both CO2 and CH4 adsorption were used to suggest optimal CO2 adsorption for the Pressure Swing Adsorption cycle.

Modification of rotary air preheater toward achieving extended life-span utilizing porous media approach: A case study

2021 ◽  
pp. 095765092110349
Author(s):  
Hamed Hajebzadeh ◽  
Abdulhamid NM Ansari
Keyword(s):  
Porous Media ◽  
Power Plant ◽  
Relative Error ◽  
Mass Flow ◽  
Cfd Simulation ◽  
Maximum Relative Error ◽  
Gas Temperature ◽  
Operational Parameters ◽  
Operating Life ◽  
Porous Media Model

The main goal of this study is to achieve the extended operating life of the rotary regenerative air pre-heater (Ljungström) of Bandar Abbas power plant by modifying operational parameters by decreasing the corrosion. To achieve this goal, a three-dimensional CFD simulation of the Ljungström is carried out, utilizing the thermal non-equilibrium porous media model. Temperatures are validated against measured data from the power plant with a maximum relative error of 5.54% on the Celsius scale, and mass flow rates are validated with a maximum relative error of −5.25%. The effect of the Ljungström key parameters including the rotational speed, cold layer material, inlet air/flue gas temperature, and mass flow rate, are analyzed in presence of leakages and neglecting it, using porous media approach. The leakage effect is investigated considering radial and axial/peripheral clearances. Finally, a simulation is performed by applying feasible improved parameters extracted from the above analyses considering the effect of all parameters together in presence of leakages, which shows a 6.14% improvement in the Ljungström effectiveness, reducing the total leakage to about one-third of the actual model and eliminating any corrosion.

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