Optično modeliranje naključno hrapavih površin s pomočjo metode sledenja žarkov

PETROVČIČ, TIMOTEJ (author), Lipovšek, Benjamin (mentor)

Diplomsko delo zajema področje modeliranja in razvoja sončnih celic. S pomočjo simulatorja CROWM (Combined Ray Optics/Wave Optics Model), ki deluje na osnovi kombinacije geometrijske in valovne optike, bomo modelirali sončne celice z različnimi naključno hrapavimi površinami med sloji materialov. Prvotno je bil izdelan generator naključno hrapavih površin z izračunavanjem efektivne hrapavosti ter korelacijske dolžine. Omenjena parametra uporabljamo za ločevanje naključno hrapavih površin. Sledil je razvoj avtomatizacijskega programa, ki nam zaporedno generira površino ter izvede simulacijo. Na koncu smo ovrednotili vpliv različnih naključno hrapavih površin na izkoristek simuliranih sončnih celic.

• Language: Slovenian
• Keywords: sončna celica, CROWM (Combined Ray Optics/Wave Optics Model), naključno hrapava površina, efektivna hrapavost, korelacijska dolžina
• Work type: Bachelor thesis/paper
• Organization: FE - Faculty of Electrical Engineering
• Year: 2022
• PID: 20.500.12556/RUL-140449
• COBISS.SI-ID: 122304259
• Publication date in RUL: 15.09.2022

PETROVČIČ, TIMOTEJ, 2022, Optično modeliranje naključno hrapavih površin s pomočjo metode sledenja žarkov [online]. Bachelor’s thesis. [Accessed 8 April 2025]. Retrieved from: https://repozitorij.uni-lj.si/IzpisGradiva.php?lang=eng&id=140449

Secondary language

• Language: English
• Title: Optical modelling of randomly textured surfaces by using the ray tracing method

Abstract

The thesis covers the field of modeling and development of solar cells. With the help of the CROWM (Combined Ray Optics/Wave Optics Model) simulator, which works on the basis of geometrical and wave optics, we will model solar cells with different randomly textured surfaces between layers of materials. Originally, a generator of randomly textured surfaces was created with calculations of the effective roughness and the correlation length. We use the mentioned parameters to separate and classify randomly textured surfaces. This was followed by the development of an automation program that sequentially generates the surface for us and performs the simulation. Finally, we evaluated the influence of different randomly textured surfaces on the efficiency of the simulated solar cells.

• Keywords: solar cell, CROWM (Combined Ray Optics/Wave Optics Model), randomly textured surface, RMS roughness, corelation length