Discrete ordinates method

In the theory of radiative transfer, of either thermal^[1] or neutron^[2] radiation, a position and direction-dependent intensity function is usually sought for the description of the radiation field. The intensity field can in principle be solved from the integrodifferential radiative transfer equation (RTE), but an exact solution is usually impossible and even in the case of geometrically simple systems can contain unusual special functions such as the Chandrasekhar's H-function and Chandrasekhar's X- and Y-functions.^[3] The method of discrete ordinates, or the S_n method, is one way to approximately solve the RTE by discretizing both the xyz-domain and the angular variables that specify the direction of radiation. The methods were developed by Subrahmanyan Chandrasekhar when he was working on radiative transfer.

Radiative Transfer Equation

In the case of time-independent monochromatic radiation in an elastically scattering medium, the RTE is^[1]

${\displaystyle \mathbf {s} \cdot \nabla I(\mathbf {r} ,\mathbf {s} )=\kappa I_{b}(\mathbf {r} )-\beta I(\mathbf {r} ,\mathbf {s} )+{\frac {\sigma }{4\pi }}\int _{4\pi }I(\mathbf {r} ,\mathbf {s} )\Phi (\mathbf {s} ,\mathbf {s'} )d\Omega '}$

where the first term on the RHS is the contribution of emission, the second term the contribution of absorption and the last term is the contribution from scattering in the medium. The variable ${\displaystyle \mathbf {s} }$ is a unit vector that specifies the direction of radiation and the variable ${\displaystyle \mathbf {s'} }$ is a dummy integration variable for the calculation of scattering from direction ${\displaystyle \mathbf {s'} }$ to direction ${\displaystyle \mathbf {s} }$.

Angular Discretization

In the discrete ordinates method, the full solid angle of ${\displaystyle 4\pi }$ is divided to some number of discrete angular intervals, and the continuous direction variable ${\displaystyle \mathbf {s} }$ is replaced by a discrete set of direction vectors ${\displaystyle \mathbf {s_{j}} }$. Then the scattering integral in the RTE, which makes the solution problematic, becomes a sum^[1][2]

${\displaystyle \sum _{j=1}^{n}w_{j}I(\mathbf {r} ,\mathbf {s_{j}} )\Phi (\mathbf {s_{j}} ,\mathbf {s_{i}} )}$

where the numbers ${\displaystyle w_{j}}$ are weighting coefficients for the different direction vectors. With this the RTE becomes a linear system of equations for a multi-index object, the number of indices depending on the dimensionality and symmetry properties of the problem.

Solution

It is possible to solve the resulting linear system directly with Gauss–Jordan elimination,^[2] but this is problematic due to the large memory requirement for storing the matrix of the linear system. Another way is to use iterative methods, where the required number of iterations for a given degree of accuracy depends on the strength of scattering.^[4][5]

Applications

The discrete ordinates method, or some variation of it, is applied for solving radiation intensities in several physics and engineering simulation programs, such as COMSOL Multiphysics^[6] or the Fire Dynamics Simulator.^[7]

See also

• Radiative transfer
• Thermal radiation
• Neutron radiation
• Bickley-Naylor functions

References

1. Michael F. Modest "Radiative Heat Transfer 3rd ed.", pp.542-543, Elsevier 2013
2. Jeremy A. Roberts “Direct Solution of the Discrete Ordinates Equations.” (2010).
3. Kuo-Nan Liou, "A Numerical Experiment on Chandrasekhar's Discrete-Ordinate Method for Radiative Transfer: Applications to Cloudy and Hazy Atmospheres", J. Atmos. Sci. 30, 1303-1326 (1973)
4. Marvin L. Adams, Edward W. Larsen, "Fast Iterative Methods for Discrete-Ordinates Particle Transport Calculations", Progress in Nuclear Energy. Vol. 40. No. I. pp. 3-159 (2002).
5. Dinshaw Balsara, "Fast and accurate discrete ordinates methods for multidimensional radiative transfer. Part I, basic methods", Journal of Quantitative Spectroscopy & Radiative Transfer 69 (2001) 671-707.
6. "Using COMSOL Multiphysics® Software and the Application Builder for Neutron Transport in Discrete Ordinates".
7. Dembele, S., Rosario, R., Wen, J.X., Warren, P. and Dale, S., 2008. Simulation of Glazing Behavior in Fires using Computational Fluids Dynamics and Spectral Radiation Modeling. Fire Safety Science 9: 1029-1039. doi:10.3801/IAFSS.FSS.9-1029