Conical Solar Collector CFD Simulation, ANSYS Fluent
$180.00 Student Discount
In this project, heat transfer in a conical solar collector containing water fluid is simulated and analyzed.
Description
Conical Solar Collector CFD Simulation, ANSYS Fluent Training
Solar energy is the largest source of energy in the world. This energy is clean, cheap, and endless and can be found all over the world. Solar water heaters work by absorbing solar energy from collector plates, and their heating efficiency varies by type of collector. To provide hot water during the day and the night, hot water is kept in a double-sided reservoir with thermal insulation that can keep the water temperature for up to three days without any changes in its temperature.
Conical Solar Collector Project description
In this project, heat transfer in a Conical Solar Collector CFD Simulation containing water fluid is carried out and analyzed by ANSYS Fluent software. The cubic fluid domain consists of an inlet (velocity inlet type, 1m/s) and a pressure outlet. The conical collector consists of an inlet (mass-flow type, 0.0116 Kg/s) and a pressure outlet. It also has 1 layer of glass and 1 layer of steel to decrease convection heat transfer as much as possible. The conical solar collector absorbs the sunlight and warms the water inside its tank. The energy and radiation model (solar ray tracing model) are activated and the Standard model with the use of standard wall function is exploited for fluid flow analysis. Simulations are done for two configurations: water inlet-outlet existence and non-existence (where no water is injected inside the tank and sunlight only warms the water inside the tank).
Conical Solar Collector Geometry and Mesh
The geometry for analyzing this simulation consists of a fluid domain and a conical solar collector. The geometry is designed in ANSYS design modeler® and is meshed in ANSYS meshing®. The mesh type used for this geometry is unstructured and the element number is 577397.
CFD Simulation Settings
The key assumptions considered in this project are:
- Simulation is done using a pressure-based solver.
- The present simulation and its results are transient. 60-time steps with a step size of 60 seconds are exploited for this simulation.
- The effect of gravity has been taken into account and is equal to -9.81 m/s2 in the Y direction.
The applied settings are summarized in the following table.
 | ||
Models | ||
Viscous model | k-epsilon | |
k-epsilon model | standard | |
near wall treatment | standard wall function | |
Energy model | On | |
Radiation model | On | |
Sun direction vector | 45 and 90 degrees | |
(conical solar collector) | Boundary conditions | |
Inlets | ||
Water inlet (if exists) | Mass-flow inlet | |
Air inlet | Velocity inlet | |
Water inlet (if exists) |
Mass-flow | 0.0116 Kg/s |
Temperature | 298.15 | |
Turbulent intensity | 5 % | |
Turbulent viscosity ratio | 10 | |
wind inlet |
velocity | 1 m/s |
Turbulent intensity | 5 % | |
Turbulent viscosity ratio | 10 | |
Outlets | Pressure outlet | |
Walls | ||
wall motion | stationary wall | |
Adiabatic, adiabatic1, ground, pipe wall | Heat flux | 0 W/m2 |
Steel, glass | Coupled | glass’s thickness = 0.006m |
Symmetry | Semi-transparent | |
(conical solar collector) | Solution Methods | |
Pressure-velocity coupling | Simple | |
Spatial discretization | pressure | Second order |
Density | Second order upwind | |
momentum | first-order upwind | |
turbulent kinetic energy | first-order upwind | |
turbulent dissipation rate | first-order upwind | |
Energy | First order upwind | |
(conical solar collector) | Initialization | |
Initialization method | Â | Standard |
gauge pressure | 0 Pa | |
velocity (x,y,z) | (0,0,-10) m/s | |
Turbulent kinetic energy | 0.3750001 m2/s2 | |
Turbulent dissipation rate | 83.74136 m2/s3 | |
Temperature | 298.15 K |
Conical Solar Collector Results
Contours of pressure, velocity, temperature, streamlines, and velocity vectors are presented for 4 different configurations.
Mekhi Halvorson –
Can this simulation be customized to model different types of solar collectors and operating conditions?
MR CFD Support –
Yes, we can accommodate your desired simulations. Please share more details about your specific requirements.
Arden Jacobi –
How does the simulation model the solar energy collection process?
MR CFD Support –
The simulation uses the Discrete Ordinates (DO) radiation model to accurately simulate the solar radiation and its interaction with the conical collector.
Hayden Ritchie –
This simulation is a testament to the power of computational fluid dynamics!
Vivien Gibson –
This is an invaluable resource for anyone working in the field of solar energy collection.