Particle exchange in horizontal two-compartment fluidized beds – CFD simulation and experimental validation

2017 ◽  
Vol 28 (2) ◽  
pp. 543-552 ◽  
Author(s):  
Philipp Lau ◽  
Carsten-Rene Arlt ◽  
Matthias Potthoff ◽  
Matthias Kind
Keyword(s):  
Fluidized Beds ◽  
Experimental Validation ◽  
Cfd Simulation ◽  
Particle Exchange

scholarly journals HYDRODYNAMIC STUDY OF THE OIL FLOW IN A PROTECTIVE RELAY COUPLED TO A POWER TRANSFORMER: CFD SIMULATION AND EXPERIMENTAL VALIDATION

2021 ◽  
pp. 105599
Author(s):  
Ivan Xavier Lins ◽  
Hilário Jorge Bezerra Lima Filho ◽  
Valdemir Alexandre dos Santos ◽  
Júlio César Santos Pereira ◽  
Jose Mak ◽  
...  
Keyword(s):  
Experimental Validation ◽  
Cfd Simulation ◽  
Power Transformer ◽  
Protective Relay ◽  
Oil Flow ◽  
Hydrodynamic Study

scholarly journals Modeling of Magnetic-Field-Assisted Fluidization: Model Development and CFD Simulation of Magnetically Stabilized Fluidized Beds

2015 ◽  
Vol 32 (0) ◽  
pp. 217-226 ◽  
Author(s):  
Antonio Busciglio ◽  
Giuseppa Vella ◽  
Giorgio Micale ◽  
Stefano Brandani
Keyword(s):  
Magnetic Field ◽  
Fluidized Beds ◽  
Cfd Simulation ◽  
Model Development

scholarly journals Nanofluid-Powered Dual-Fluid Photovoltaic/Thermal (PV/T) System: Comparative Numerical Study

Energies ◽  
2019 ◽  
Vol 12 (5) ◽  
pp. 775 ◽  
Author(s):  
M. Hussain ◽  
Jin-Hee Kim ◽  
Jun-Tae Kim
Keyword(s):  
Experimental Validation ◽  
Cfd Simulation ◽  
Numerical Study ◽  
Numerical Models ◽  
Metal Oxide Nanoparticles ◽  
Transfer Enhancement ◽  
Ansys Fluent ◽  
Fluctuating Irradiance ◽  
Explicit Dynamic ◽  
T System

A limited number of studies have examined the effect of dual-fluid heat exchangers used for the cooling of photovoltaic (PV) cells. The current study suggests an explicit dynamic model for a dual-fluid photovoltaic/thermal (PV/T) system that uses nanofluid and air simultaneously. Mathematical modeling and a CFD simulation were performed using MATLAB® and ANSYS FLUENT® software, respectively. An experimental validation of the numerical models was performed using the results from the published study. Additionally, to identify the optimal nanofluid type for the PV/T collector, metal oxide nanoparticles (CuO, Al2O3, and SiO2) with different concentrations were dispersed in the base fluid (water). The results revealed that the CuO nanofluid showed the highest thermal conductivity and the best thermal stability compared to the other two nanofluids evaluated herein. Furthermore, the influence of CuO nanofluid in combination with air on the heat transfer enhancement is investigated under different flow regions such as laminar, transition, and turbulent. Using a CuO nanofluid plus air and water plus air the total equivalent efficiency was found to be 90.3% and 79.8%, respectively. It is worth noting that the proposed models could efficiently simulate both single and dual-fluid PV/T systems even under periods of fluctuating irradiance.

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