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**Radiation **is defined as the transfer of energy using electromagnetic waves. When these waves interact with any type of matter, they become heat. All bodies with a temperature greater than absolute zero emit radiation, and in contrast to conduction or convection, this radiation behavior phenomenon requires no medium.

In SimScale, radiation is available for **Convective Heat Transfer** and **Conjugate Heat Transfer v2.0 ** analysis types and can be activated by toggling on *Radiation* in the global settings. As a result, you should be able to set **radiative behavior, emissivity, additional radiative source, **and** the far-field temperature **while assigning the boundary conditions.

Two radiation models are used in SimScale. The first model is the *Diffuse View Factors Model*, which calculates the amount of radiation emitted or absorbed by a surface. The second model is the** ***Discrete Ordinates Model*, commonly referred to as DOM, which is a numerical method used to solve the radiative transfer equation.

The **Diffuse View Factors model** can be applied to a wide range of engineering applications where accurate radiation modeling is required. It is relatively simple to implement and use, as it mainly involves calculating view factors between surfaces and performing simplified radiation exchange calculations based on the view factors.

radiation is hemispheric and uniform. For every surface, its emission is independent of direction.**Diffuse****View Factors**only consider the radiative heat exchange between surfaces. Thus, the medium (air) is supposed to have no interference. This is true when there are no particles suspended in the fluid which makes it less transparent (like dust or fog). The view factor of two surfaces measures the proportion of the total radiation that is exchanged between them. It only depends on the geometrical parameters.

The different surfaces of the model will exchange heat between them, and they will also provide or subtract heat from the adjacent fluid. Coupling of both convection and radiation will be achieved once the simulation converges.

The Diffuse View Factors model is generally computationally less expensive compared to other radiation methods, especially for simulations involving simpler geometries and diffuse surface characteristics. Since it does not require solving transport equations for radiative intensity in discrete directions, it can be more efficient for certain types of simulations. In SimScale, this method is restricted to the Convective Heat Transfer solver.

The **Discrete Ordinates Model (DOM)** is a numerical method widely used in Computational Fluid Dynamics (CFD). The method was first proposed by Chandrasekhar (1960)\(^1\) and developed to analyze and simulate the process of thermal radiation propagation through participating media such as gases and liquids. Unlike the Diffuse View Factors model, DOM will solve the Radiative Transfer Equation (RTE), which describes the propagation of thermal radiation.

The **Radiative Transfer Equation (RTE)** is a five-dimensional integro-differential equation, with three spatial and two directional coordinates. This equation has a structure and function similar to the flow governing equations, as it mathematically describes the transport of radiant energy and the phenomena intrinsic to this process, such as absorption, emission, and scattering, which affect the radiation propagation in a medium.

The **Radiative Transfer Equation (RTE)** is given by\(^2\):

$$\frac{d I}{d s}=\hat{\mathbf{s}} \cdot \nabla I(\mathbf{r}, \hat{\mathbf{s}})=\kappa(\mathbf{r}) I_b(\mathbf{r})-\beta(\mathbf{r}) I(\mathbf{r}, \hat{\mathbf{s}})+\frac{\sigma_s(\mathbf{r})}{4 \pi} \int_{4 \pi} I\left(\mathbf{r}, \hat{\mathbf{s}}^{\prime}\right) \Phi\left(\mathbf{r}, \hat{\mathbf{s}}^{\prime}, \hat{\mathbf{s}}\right) d \Omega^{\prime}$$

Where, \(I\) is the radiative intensity. It represents the amount of radiant energy flowing in a specific direction per unit solid angle per unit wavelength and \(s\) is the wavelength of the radiation. \(\hat{\mathbf{s}}\) is the direction vector representing the direction of radiation propagation, and \(\mathbf{r}\) is the position vector. \(\kappa\) is the absorption coefficient and it represents the proportionality constant between the absorption of radiant energy and the radiative intensity. \(\beta\) is the scattering coefficient and it represents the proportionality constant between the scattering of radiant energy and the radiative intensity. \(\sigma_s\)** **is the scattering coefficient for emission and it represents the proportionality constant between the emission of radiant energy and the radiative intensity. \(dΩ_i\)** ** represents the infinitesimal solid angle element in the emission direction.

In the **Discrete Ordinates Model**, the RTE equation is discretized into a finite number of discrete directions or “ordinates” over which the radiative intensity is calculated. These discrete directions represent the angular dependence of radiation propagation. Each discrete direction corresponds to a specific “beam” or “ray” of radiation propagating through the medium. These directions are chosen to sufficiently sample the angular distribution of radiation within the domain being modeled. In SimScale, you can adjust the number of beam directions for your simulation using the Radiation Resolution option. This feature offers three options: Coarse, Moderate, and Fine, which correspond to 8, 32, and 72 beam directions respectively. Note that using more beam directions will increase the simulation time.

As the flow governing equations, SimScale will use the Finite Volume method to solve this set of transport equations for the radiative intensity in each discrete direction. The Conjugate Heat Transfer v2.0 solver uses the Discrete Ordinates Model (DOM).

*Radiative behavior *specifies the relationship between the net radiative heat per unit surface area, \(Q_r\ [W/m^2]\) and the temperature of every surface, \(T_s\ [K]\). In SimScale, you can set three radiative surface behaviors, opaque, transparent and semi-transparent:

A *Transparent* surface establishes no relation between \(Q_r\) and \(T_s\). This means that the surface temperature remains unaffected by the net radiative heat that the surface emits or receives. This implies that \(T_s\)** **is determined by other heat transport means (conduction or convection) or by a boundary condition. This option is mainly applied to surfaces that are not solid, like inlets or outlets (for example, an open window).

**Additional Radiative Source**

For convective heat transfer analysis, apart from the radiative heat interchange that the surfaces will perform, we can set an additional radiative source. This represents any additional (mainly external) source of radiation that goes through the surface and it will not heat it up. The best example is solar radiation getting into the domain through an open window.

**Far Field Temperature**

Available to only conjugate heat transfer v2.0 analysis, far-field temperature represents the temperature of the black body in the far field needed for inclusion of radiation effects at the open boundaries. Hence, instead of mentioning the power of the radiative source you can just mention its temperature.

An *Opaque* behavior couples \(Q_r\) and \(T_s\) using the Stefan-Boltzmann law for diffuse and hemispheric radiation. Supposing two different surfaces \(S\) and \(S’\), the \(Q_r\) that \(S\) provides to \(S’\) is:

$$ Q_r(S→S’) = F. \epsilon . \sigma .(T_S – T_{S’})^4$$

Where \(F\)** **is the view factor between \(S\) and \(S’\), \(\sigma\) is the Stefan-Boltzmann constant (5.6696e-8 \(W /m²K\)), and \(\epsilon\) is the emissivity of the surface \(S\).

A surface that is not fully transparent is considered a semi-transparent surface. Such a surface partially absorbs, transmits, and reflects the radiation falling on it. The user needs to provide the values for the emissivity as well as transmissivity. This is only available for CHT v2.0 analysis type.

**Emissivity**

The emissivity depends on the material of the surface, and it measures its capability to emit radiation, otherwise known as its radiation behavior. For opaque surfaces, the default value in the Workbench is 0.9, which is a good approximation for walls made of brick or concrete.

**Transmissivity**

Transmissivity also depends on the material of the surface, and it measures its capability to transmit radiation. For semi-transparent surfaces, the default value in the Workbench is 0.7, which is a good approximation for stained glass windows.

For radiative heat transfer problems, further settings can be changed within the numerics, as shown in the picture below. Most importantly, the radiation resolution can be changed. This affects the discretization of the directions for which the radiative problem is solved. The settings are coarse, moderate, and fine. Increasing the radiation resolution will lead to a higher number of directions and hence improved angular discretization of the radiative problem (usually a more accurate result).

- Radiation becomes more important when the simulation has high temperatures.
- To save time and avoid mistakes, transparent radiative behavior is assigned by default to all inlets and outlets.
- Simulations that include radiation often need more iterations to converge because of this additional heat transference. It is advisable to switch off the
*“Compressible*” toggle in global settings. - Emissivity is considered constant for every material. In reality, it depends on the wavelength of the radiation that is being emitted. In CFD simulations, the total emissivity is specified, which is the integrated emissivity over all wavelengths.
- Solar radiation is usually directional. However, it can be considered diffuse on cloudy days.
- Also,
**symmetric boundary conditions**are**not supported**by the current radiation solver.

To read more about supported types of radiation and radiation behavior check out** this documentation page. **

References

- Chandrasekhar, S. “Radiative transfer dover publications inc.” New York (1960): 1-393.
- Modest, Michael F. Radiative heat transfer. Academic press, 2003.

Last updated: April 11th, 2024

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