Computer Simulations of Solar Energy Systems

Computer Simulations of Solar Energy Systems

Akram Gasmelseed (Universiti Teknologi Malaysia, Malaysia)
Copyright: © 2014 |Pages: 19
DOI: 10.4018/978-1-4666-5125-8.ch033


In recent years, computer simulation has become a standard tool for analyzing solar energy systems. The interaction of light with nanoscale matter can provide greater functionality for photonic devices and render unique information about their structural and dynamical properties. As the field of nanophotonics continues to experience phenomenal growth at both the fundamental research and applications level, computational modeling is essential both for interpreting experiments and for suggesting new directions – for example, in designing of thin-film photovoltaic cells. The demand for computer simulation continues to increase as researchers and developers tackle the tough challenges of designing new generation devices and optimizing current generation devices. This chapter is devoted to the development and application of the Finite-Difference Time-Domain (FDTD) method to solar energy systems. In addition, new models covering the latest advances in nanophotonics technologies, as well as key improvements to the numeric solvers and new usability features, are introduced in this chapter.
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Finite Difference Time Domain (Fdtd) Method

The FDTD method numerically solves Maxwell’s curl equations by representing time and spatial derivatives as finite differences. The basic Maxwell’s curl equations in a three dimensional (3D) domain are expressed as (Taflove & Hagness, 2000):

(2) where both the electric field and magnetic field describe the interaction between light and the solar cell. The solar cell is described by its permittivity ε and permeability μ. The parameters, ε=εrεo and σ describe the optical properties of the solar cell. Expanding the curl operator in (1) and (2) and equating their respective vector components on each side appropriately, these equations can be represented with the following six equations in a Cartesian coordinate system (x, y, z):


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