Opto-electronics of thin-film silicon solar cells and color sensors

  • Optical and electrical performances of silicon solar cells are investigated experimentally and numerically. The solar cells are based on nanoscale, multiscale and tiled textured surfaces. In the first part, the short circuit current density and energy conversion efficiency of multiscale textured solar cells are increased compared to nanoscale textured solar cells. This gain in the electrical parameters are achieved for both the amorphous and microcrystalline silicon materials. The short circuit current density of the simulated solar cells is further increased by optimizing the optical losses. In the second part, hexagonal tiled microcrystalline silicon solar cells exhibit record short circuit current densities and energy conversion efficiencies. Light trapping and microstructure of the fabricated and simulated hexagonal tiled solar cells are compared to square and triangular tiled solar cells. The triangular textured substrates are superior to the square and hexagonal textured substrates in terms of crack formations and light trapping. Finally, crack-free triangular textured solar cells exhibit increased short circuit current densities as compared to hexagonal and square textured solar cells, allowing to achieve short circuit current densities close to the light trapping limit. Commonly, color image sensing is carried out by an array of color pixels. Each of the color pixels consist of at least three sensing elements in combination with optical filters for red, green and blue. Due to side-by-side arrangement of the filters the quantum efficiency of a color pixel is limited to 1/3. In order to increase the quantum efficiency an alternative sensor device is proposed and is studied using optical simulations. The proposed sensor uses silicon optical antennas to detect color information. The sensor allows for detecting the color information with quantum efficiencies approaching unity for both the microcrystalline and crystalline silicon materials.

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Publishing Institution:IRC-Library, Information Resource Center der Jacobs University Bremen
Granting Institution:Jacobs Univ.
Author:Asman Tamang
Referee:Veit Wagner, Werner Henkel, Dietmar Knipp, Sören Peik
Advisor:Veit Wagner
Persistent Identifier (URN):urn:nbn:de:gbv:579-opus-1008091
Document Type:PhD Thesis
Language:English
Date of Successful Oral Defense:2018/05/23
Date of First Publication:2018/06/07
Academic Department:Computer Science & Electrical Engineering
PhD Degree:Electrical Engineering
Focus Area:Mobility
Call No:2018/11

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