Quasi-3D Optimization of Grid Architecture for Photovoltaic Converters Using Solcore

Veikka Nikander, Jianguo Wei, Arto Aho, Ville Polojarvi, Antti Tukiainen, Mircea Guina

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

Abstract

Numerical study of metal front contacts grid spacing for photovoltaic (PV) devices is presented with application to PV converter of relatively small size. The model is constructed based on the open source Solcore Python library. A three-step-process is developed to create a hybrid quasi-3D model. The optimal grid spacing was simulated at different temperatures to yield the highest conversion efficiency under various illumination conditions. The results show that the grid spacing needs to be reduced for higher temperatures to yield the highest efficiency. Moreover, the tolerance of the grid spacing is found to be more critical at higher temperature.

Original languageEnglish
Title of host publication2020 International Conference on Numerical Simulation of Optoelectronic Devices, NUSOD 2020
PublisherIEEE Computer Society
Pages51-52
Number of pages2
ISBN (Electronic)978-1-7281-6086-3
DOIs
Publication statusPublished - Sep 2020
Publication typeA4 Article in a conference publication
Event2020 International Conference on Numerical Simulation of Optoelectronic Devices, NUSOD 2020 - Turin, Italy
Duration: 14 Sep 202018 Sep 2020

Publication series

NameProceedings of the International Conference on Numerical Simulation of Optoelectronic Devices, NUSOD
Volume2020-September
ISSN (Print)2158-3234

Conference

Conference2020 International Conference on Numerical Simulation of Optoelectronic Devices, NUSOD 2020
Country/TerritoryItaly
CityTurin
Period14/09/2018/09/20

Publication forum classification

  • Publication forum level 0

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Modelling and Simulation

Fingerprint

Dive into the research topics of 'Quasi-3D Optimization of Grid Architecture for Photovoltaic Converters Using Solcore'. Together they form a unique fingerprint.

Cite this