Simulation of Thin-Film Solar Cells for Optimization of Light Trapping

碩士 === 國立交通大學 === 電子工程學系 電子研究所 === 103 === ii Simulation of Thin-Film Solar Cells for Optimization of Light Trapping Student:Shang-Ju Lin Advisors:Dr. Albert Shihchun Lin Department of Electronics Engineering &; Institute of Electronics Engineering National Chiao Tung University ABSTRACT Recentl...

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Main Authors: Lin,Shang-Ju, 林尚儒
Other Authors: Albert Shihchun Lin
Format: Others
Language:zh-TW
Published: 2014
Online Access:http://ndltd.ncl.edu.tw/handle/97917321265144687933
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spelling ndltd-TW-103NCTU54280832016-09-11T04:09:14Z http://ndltd.ncl.edu.tw/handle/97917321265144687933 Simulation of Thin-Film Solar Cells for Optimization of Light Trapping 薄膜太陽能電池的光捕捉最佳化之模擬研究 Lin,Shang-Ju 林尚儒 碩士 國立交通大學 電子工程學系 電子研究所 103 ii Simulation of Thin-Film Solar Cells for Optimization of Light Trapping Student:Shang-Ju Lin Advisors:Dr. Albert Shihchun Lin Department of Electronics Engineering &; Institute of Electronics Engineering National Chiao Tung University ABSTRACT Recently, most scientists pay significant attention to nano-/micro-technologies of solar cells. The light trapping technologies are used to reduce the reflection of incident light, to scatter the incident light by rough surface, and to increase the absorption of solar cells. The light trapping technologies have the main applications for thin-film silicon solar cells, including using rough surfaces, single dielectric layer interference, design of multilayers, nanowires, and so on. In chapter two, we will introduce how the power of thin-film solar cell generate and the theories of light trapping structure in detail. These include the diffraction theories, the diffraction of sunlight on the surface, and the diffraction efficiencies. Afterward, we use genetic algorithm to find the optimal light trapping structure with two methods of simulation. We will also introduce the theories and applications of genetic algorithm, and how the optimal simulation process works. In chapter three, we will introduce the simulation software, TCAD, which is often used to compute the optical and electrical properties of solar cell. In this work, we only introduce the simulation of the optical properties. We set up an optimization process that we can find the optimal light trapping structure by TCAD. As long as we set the parameters and structures of solar cell, the optimal simulation process can help us find the optimal light trapping structure. In the optimization processes, that genetic algorithm calculates the solar cell absorbance continuously, and the structure is adjusted every time. By repeating this process, we will find the optimal light trapping structure.In chapter four, we use another method, RCWA( Rigorous coupled-wave analysis ), to calculate the reflection and absorption of the sunlight incident of solar cell, but the main purpose is still that we want to find the optimal light trapping structure. We use the method that is like the one we used in chapter three to find the optimal light trapping structure, through continuous simulations and calculations. In final chapter, we discuss and summarize the two optimization methods, and then we propose the future prospective of this work. Albert Shihchun Lin Pin Su 林詩淳 蘇彬 2014 學位論文 ; thesis 69 zh-TW
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description 碩士 === 國立交通大學 === 電子工程學系 電子研究所 === 103 === ii Simulation of Thin-Film Solar Cells for Optimization of Light Trapping Student:Shang-Ju Lin Advisors:Dr. Albert Shihchun Lin Department of Electronics Engineering &; Institute of Electronics Engineering National Chiao Tung University ABSTRACT Recently, most scientists pay significant attention to nano-/micro-technologies of solar cells. The light trapping technologies are used to reduce the reflection of incident light, to scatter the incident light by rough surface, and to increase the absorption of solar cells. The light trapping technologies have the main applications for thin-film silicon solar cells, including using rough surfaces, single dielectric layer interference, design of multilayers, nanowires, and so on. In chapter two, we will introduce how the power of thin-film solar cell generate and the theories of light trapping structure in detail. These include the diffraction theories, the diffraction of sunlight on the surface, and the diffraction efficiencies. Afterward, we use genetic algorithm to find the optimal light trapping structure with two methods of simulation. We will also introduce the theories and applications of genetic algorithm, and how the optimal simulation process works. In chapter three, we will introduce the simulation software, TCAD, which is often used to compute the optical and electrical properties of solar cell. In this work, we only introduce the simulation of the optical properties. We set up an optimization process that we can find the optimal light trapping structure by TCAD. As long as we set the parameters and structures of solar cell, the optimal simulation process can help us find the optimal light trapping structure. In the optimization processes, that genetic algorithm calculates the solar cell absorbance continuously, and the structure is adjusted every time. By repeating this process, we will find the optimal light trapping structure.In chapter four, we use another method, RCWA( Rigorous coupled-wave analysis ), to calculate the reflection and absorption of the sunlight incident of solar cell, but the main purpose is still that we want to find the optimal light trapping structure. We use the method that is like the one we used in chapter three to find the optimal light trapping structure, through continuous simulations and calculations. In final chapter, we discuss and summarize the two optimization methods, and then we propose the future prospective of this work.
author2 Albert Shihchun Lin
author_facet Albert Shihchun Lin
Lin,Shang-Ju
林尚儒
author Lin,Shang-Ju
林尚儒
spellingShingle Lin,Shang-Ju
林尚儒
Simulation of Thin-Film Solar Cells for Optimization of Light Trapping
author_sort Lin,Shang-Ju
title Simulation of Thin-Film Solar Cells for Optimization of Light Trapping
title_short Simulation of Thin-Film Solar Cells for Optimization of Light Trapping
title_full Simulation of Thin-Film Solar Cells for Optimization of Light Trapping
title_fullStr Simulation of Thin-Film Solar Cells for Optimization of Light Trapping
title_full_unstemmed Simulation of Thin-Film Solar Cells for Optimization of Light Trapping
title_sort simulation of thin-film solar cells for optimization of light trapping
publishDate 2014
url http://ndltd.ncl.edu.tw/handle/97917321265144687933
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