Analysis of Photovoltaic Parameters For Hot-compressed ZnO Based DSSC Under Illumination and Dark Condition

Abdullah Al Mamun, Mohammad Rafiqul Islam, A. A. Abuelwafa, M. Shafiul Alam, T. Soga, M. S.H. Choudhury

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

Abstract

The prime aim of this work is to investigate the performance of ZnO-based flexible Dye-sensitized solar cell (DSSC) prepared using the hot compress method by analyzing a few key photovoltaic parameters. Photoelectrodes of the cell has been compressed at various temperature (room temperature-110°C) as a postdeposition treatment to improve the surface quality as well as the overall performance. The maximum efficiency has been achieved for the cell under illumination was 2.63 % which has been prepared using 130 MPa compression at 70°c. The electrical conduction mechanisms of the prepared cell under dark conditions were studied at low biasing voltages. The values of the series resistance, shunt resistance, ideality factors, and barrier heights were calculated from the measured dark current-voltage (I-V) data. The series and shunt resistance under dark and illumination conditions exhibit different values but follow the same trend. The photovoltaic performance data is competent with the series and shunt resistance data under dark and illuminated conditions.

Original languageEnglish
Title of host publication2022 International Conference on Innovations in Science, Engineering and Technology, ICISET 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages7-12
Number of pages6
ISBN (Electronic)9781665483971
DOIs
StatePublished - 2022

Publication series

Name2022 International Conference on Innovations in Science, Engineering and Technology, ICISET 2022

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Keywords

  • DSSC
  • dark current
  • series resistance
  • shunt resistance.

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Control and Optimization
  • Instrumentation
  • Artificial Intelligence
  • Computer Networks and Communications
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment

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