Multiobjective evolutionary approach to silicon solar cell design optimization

Wen Tsung Huang, Chieh Yang Chen, Yu Yu Chen, Sheng Chia Hsu, Yiming Li

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

3 Scopus citations

Abstract

In this study, we implement a device simulation-based multi-objective evolutionary algorithm (MOEA) for the optimal design of silicon solar cells. The short-circuited current, the open-circuited voltage, and the conversion efficiency are calculated and used to evaluate the fitness score and access the evolutionary quality of designing parameters via the implemented non-dominating sorting genetic algorithm in the unified optimization framework. Designing parameters, the material and structural parameters are simultaneously optimized for the explored solar cells. Our device simulation-based MOEA methodology is useful, compared with the conventional genetic algorithm, in the solar cell design optimization.

Original languageEnglish
Title of host publicationProceedings of the 5th Asia Symposium on Quality Electronic Design, ASQED 2013
PublisherIEEE Computer Society
Pages192-195
Number of pages4
ISBN (Print)9781479913145
DOIs
StatePublished - 2013
Event5th Asia Symposium on Quality Electronic Design, ASQED 2013 - Penang, Malaysia
Duration: 26 Aug 201328 Aug 2013

Publication series

NameProceedings of the 5th Asia Symposium on Quality Electronic Design, ASQED 2013

Conference

Conference5th Asia Symposium on Quality Electronic Design, ASQED 2013
CountryMalaysia
CityPenang
Period26/08/1328/08/13

Keywords

  • Amorphous silicon
  • Design optimization
  • Material and structural parameters
  • Multiobjective
  • Simulation-based evolutionary methodology
  • Thin film solar cell

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