Investigation of the effect of anti-reflection nano-coatings on solar cell and nano-silicon image sensor
Paper ID : 1028-ICNS
parinaz khaledi *1, Yousefali Abedini2
1Department of Physics, Urmia University of Technology
2Physics Department, University of Zanjan and Center for Research in Climate Change and Global Warming(CRCC), Institute for Advanced Studies in Basic Sciences, Zanjan
In this study, we used a computer method called Genetic Algorithm and given that the most common methods used to reduce surface reflectance and increase efficiency are single or multilayer nano-coatings and surface texture. By using the genetic algorithm approach, we optimized the anti-reflection nanoparticles of up to five layers of solar cells. The reflectance coefficient for one- two-and four-layer anti-reflection coatings was plotted as a function of wavelength and landing angle, and then we investigated the effect of nano-reflective coatings on the efficiency of the solar cell and nano-silicon image sensor. Nano-coatings reflect essentially, especially at the largest landing angles and the shortest lengths The waves diminished. The silicon image sensor acted just like a silicon solar cell, and by adding an extra layer, the corresponding wavelength range became wider. To achieve a wavelength threshold, more layers were needed. In the silicon image sensor, the transition from three layers to four layers reduced the mean reflectivity by 11.1%, while for silicon solar cells, the reflectivity decreased by 13.1% by adding the fifth layer to the solar cell's anti-reflection coating, In addition to the value mentioned above, the reflection decreased by a further 5.6%.
Keywords: Genetic Algorithm, nanoparticles, nano-silicon image sensor, silicon solar cell.
Status : Abstract Accepted (Poster Presentation)