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Computer Simulations of Solar Energy Systems

Computer Simulations of Solar Energy Systems

Akram Gasmelseed
Copyright: © 2014 |Pages: 19
ISBN13: 9781466651258|ISBN10: 1466651253|EISBN13: 9781466651265
DOI: 10.4018/978-1-4666-5125-8.ch033
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MLA

Gasmelseed, Akram. "Computer Simulations of Solar Energy Systems." Nanotechnology: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2014, pp. 712-730. https://doi.org/10.4018/978-1-4666-5125-8.ch033

APA

Gasmelseed, A. (2014). Computer Simulations of Solar Energy Systems. In I. Management Association (Ed.), Nanotechnology: Concepts, Methodologies, Tools, and Applications (pp. 712-730). IGI Global. https://doi.org/10.4018/978-1-4666-5125-8.ch033

Chicago

Gasmelseed, Akram. "Computer Simulations of Solar Energy Systems." In Nanotechnology: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 712-730. Hershey, PA: IGI Global, 2014. https://doi.org/10.4018/978-1-4666-5125-8.ch033

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Abstract

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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