Simulation-based evolutionary approach to electrical characteristic optimization of p-i-n silicon thin-film solar cells

Zheng Liang Lu, Yiming Li*, Hui Wen Cheng, I. Hsiu Lo, Chao Chu Wang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Solar cell is one of the most potent candicates for the next-generation energy technology due to its enviromental friendliness and renewable merit. Nowaday the major challenge is to lower fabrication cost while significantly enhancing the energy conversion energy. In this work, a simulator-based optimization for a-Si thin film solar cell with p-i-n structure is presented. Using genetic algorithm and electro-optical simulation, running on UOF platform, the optimal designs with respect to energy conversion efficiency, fill factor, short-circuited current density, and open-circuited voltage are obtained. Besides, the sensitivity analyses for different four cases are also conducted to investigate the degradation due to parameter variations. The best overall performance of a single layer a-Si thin film solar cell is achieved with energy conversion efficiency of 7.90% and an average efficiency is 7.35% if considers parameter variations.

Original languageEnglish
Title of host publicationTechnical Proceedings of the 2011 NSTI Nanotechnology Conference and Expo, NSTI-Nanotech 2011
Pages583-586
Number of pages4
StatePublished - 2011
EventNanotechnology 2011: Electronics, Devices, Fabrication, MEMS, Fluidics and Computational - 2011 NSTI Nanotechnology Conference and Expo, NSTI-Nanotech 2011 - Boston, MA, United States
Duration: 13 Jun 201116 Jun 2011

Publication series

NameTechnical Proceedings of the 2011 NSTI Nanotechnology Conference and Expo, NSTI-Nanotech 2011
Volume2

Conference

ConferenceNanotechnology 2011: Electronics, Devices, Fabrication, MEMS, Fluidics and Computational - 2011 NSTI Nanotechnology Conference and Expo, NSTI-Nanotech 2011
CountryUnited States
CityBoston, MA
Period13/06/1116/06/11

Keywords

  • Amorphous silicon
  • Energy conversion efficiency
  • Genetic algorithm
  • Numerical simulation
  • Optical model
  • p-i-n structure
  • Sensitivity analysis
  • Simulation-based
  • Thin-Film solar cell
  • Transport model

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