17. Design and Development of a Low-Flow, Energy Efficient Fume Hood Using Engineering Controls and Computational Fluid Dynamics (CFD)

2006 ◽  
Author(s):  
S. Kotha ◽  
R. Ryan ◽  
D. Walters
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Energy Efficient ◽  
Low Flow ◽  
Fume Hood ◽  
Design And Development ◽  
Engineering Controls ◽  
Flow Energy ◽  
Computational Fluid Dynamics Cfd

Optimization of a Combined Photovoltaic/Thermal Unit Using Computational Fluid Dynamics

2014 ◽  
Author(s):  
Andrew Roberts ◽  
Ming-Chia Lai ◽  
Chi-Yang Cheng
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Theoretical Model ◽  
Cfd Model ◽  
Ansys Fluent ◽  
Climate Conditions ◽  
Flow Energy ◽  
Computational Fluid Dynamics Cfd ◽  
Heat Transfer System ◽  
D Model

The goal of this project was to develop a model for a Combined Photovoltaic/Thermal (PV/T) unit to ease in the assessment of potential changes to the unit before fabrication of actual parts. This process reduces the time to assess changes in the system; once the initial model is created changes are relatively simple. It also reduces cost incurred for actual testing by certified labs and can simulate output variations in different climate conditions, site locations and times of year. A commercially available PV/T unit was chosen for analysis, which utilizes two water channels under the photovoltaic assembly instead of the conventional sheet-and-tube design to actively cool the solar cells while also collecting thermal energy that can be used for heating water or air via a heat transfer system. The project described in this paper modeled the PV/T unit in two ways: (1) as a one-dimensional theoretical model and (2) modeling the system in ANSYS FLUENT and simulating the fluid flow, energy and radiation models using computational fluid dynamics (CFD). The baseline CFD model was correlated to published Solar Rating and Certification Corporation (SRCC) test data for pressure drop and thermal performance to gage accuracy of the model. Through a literature search of past work on similar modules and systems, several potential improvements to the unit were identified and a detailed analysis was conducted by individually adding each to the theoretical model, then comparing them to the output of the baseline model. Combinations of improvements were evaluated as well and assessed based on output improvement, technical feasibility and expected cost. The accuracy of the 1-D model was compared to the CFD model to assess the benefits gained from the added complexity of using computational fluid dynamics.

scholarly journals IMPROVING THE QUALITY OF DESIGNING LOW-FLOW STAGES OF CENTRIFUGAL COMPRESSORS DUE TO VERIFICATION AND VALIDATION OF CALCULATED CFD MODELS

2020 ◽  
Vol 22 (6) ◽  
pp. 48-56
Author(s):  
V.M. Ivanov ◽  
◽  
Yu.V. Kozhukhov ◽  
A.M. Danylyshyn ◽  
◽  
...  
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Numerical Model ◽  
Low Flow ◽  
Centrifugal Compressors ◽  
Labyrinth Seals ◽  
Design Quality ◽  
Cfd Models ◽  
Computational Fluid Dynamics Cfd

The quality of the produced centrifugal compressors largely depends on the design quality of the flow path. In order to carry out high-quality design of low-flow stages of centrifugal compressors, in this work, a numerical model of a low-flow stage is verified and validated, which are based on modern methods of computational fluid dynamics - CFD (computational fluid dynamics) as part of CALS technologies. In the numerical model of the step, clearances and labyrinth seals were modeled. The issues of using intergrid interfaces, application of turbulence and roughness models are considered. The obtained settings of the numerical model were used to validate seven model stages for the range of the optimal conditional flow rate Φopt = 0.008-0.018 at Mu = 0.785-0.804. The simulation results were compared with experimental data.

A 3D Computational Fluid Dynamics Analysis of the Wells Turbine

2002 ◽  
Author(s):  
John Daly ◽  
Elvis Sheik Bajeet ◽  
Ajit Thakker ◽  
Patrick Frawley
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Reynolds Numbers ◽  
Performance Comparison ◽  
Low Flow ◽  
Wells Turbine ◽  
Computational Fluid Dynamics Analysis ◽  
Computational Fluid Dynamics Cfd ◽  
Bladed Rotor ◽  
Overall Performance

This paper deals with the application of Computational Fluid Dynamics (CFD) to the performance comparison of some proposed blade designs for the Well’s Turbine. The turbines were modelled at typical Reynolds numbers for full scale rigs and the results were found to correlate well with scale predictions from experimental data. Three different turbine designs were analysed, one a 4-bladed rotor and the other two 8-bladed rotors. The only difference between the two 8-bladed rotors was the addition of forward sweep to one. The addition of forward sweep was shown to have little effect on the overall performance of the 8-bladed rotor. The 4-bladed rotor was shown to have the highest efficiency and pressure drop at low flow rates, however it was also shown to have a much smaller operating range than the 8-bladed rotors.

Efficiency prediction for storage chambers using computational fluid dynamics

1996 ◽  
Vol 33 (9) ◽  
pp. 163-170 ◽  
Author(s):  
Virginia R. Stovin ◽  
Adrian J. Saul
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Shear Stress ◽  
Particle Tracking ◽  
Critical Value ◽  
Complex Geometries ◽  
Bed Shear Stress ◽  
Breadth Ratio ◽  
Computational Fluid Dynamics Cfd ◽  
Simulated Flow

Research was undertaken in order to identify possible methodologies for the prediction of sedimentation in storage chambers based on computational fluid dynamics (CFD). The Fluent CFD software was used to establish a numerical model of the flow field, on which further analysis was undertaken. Sedimentation was estimated from the simulated flow fields by two different methods. The first approach used the simulation to predict the bed shear stress distribution, with deposition being assumed for areas where the bed shear stress fell below a critical value (τcd). The value of τcd had previously been determined in the laboratory. Efficiency was then calculated as a function of the proportion of the chamber bed for which deposition had been predicted. The second method used the particle tracking facility in Fluent and efficiency was calculated from the proportion of particles that remained within the chamber. The results from the two techniques for efficiency are compared to data collected in a laboratory chamber. Three further simulations were then undertaken in order to investigate the influence of length to breadth ratio on chamber performance. The methodology presented here could be applied to complex geometries and full scale installations.

Improvement of real-scale raceway bioreactors for microalgae production using Computational Fluid Dynamics (CFD)

2021 ◽  
Vol 54 ◽  
pp. 102207
Author(s):  
Cristian Inostroza ◽  
Alessandro Solimeno ◽  
Joan García ◽  
José M. Fernández-Sevilla ◽  
F. Gabriel Acién
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Computational Fluid Dynamics Cfd ◽  
Real Scale
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