Research on Colloidal Quantum Dot Solar Cell using Selective Ligand Exchange Process

Download files
Access & Terms of Use
open access
Copyright: Kobamoto, Naoya
Altmetric
Abstract
Colloidal quantum dot solar cells (CQDSCs) have been investigated in this research. The aim of this research is to develop high-efficiency solar cells. The theoretical limit of energy conversion efficiency of CQDSCs is approximately 45% while 30% is the theoretical limit of single junction crystalline silicon solar cells, which have been mainstream device in photovoltaic market. The CQDSCs of this research are fabricated using zinc oxide (ZnO) nanoparticles and lead sulfide (PbS) or lead selenide (PbSe) colloidal quantum dots (CQDs). The ZnO layer and quantum dot layer are made in room temperature using spin coating and dip coating, respectively. The CQDSCs consist of front electrode made of indium tin oxide (ITO), electron transport layer made of (ZnO), quantum dot layer (PbS or PbSe), and rear electrode. The experimental data of this research were analyzed using the design of experiment method, which revealed strong impact of ligand that covers the surface of CQDs on electrical properties of CQDSCs and uniformity of QD layer. The concentration of 1,2-ethane dithiol (EDT) ligands in ligand exchange process of CQDs needs to be precisely controlled. The open circuit voltage (Voc) is improved by selective ligand exchange method, which is slight and simple adjustment in ligand exchange process under low-EDT process condition. The maximum Voc exceeded 700mV.
Persistent link to this record
Link to Publisher Version
Link to Open Access Version
Additional Link
Author(s)
Kobamoto, Naoya
Supervisor(s)
Huang, Shujuan
Conibeer, Gavin
Patterson, Robert
Creator(s)
Editor(s)
Translator(s)
Curator(s)
Designer(s)
Arranger(s)
Composer(s)
Recordist(s)
Conference Proceedings Editor(s)
Other Contributor(s)
Corporate/Industry Contributor(s)
Publication Year
2017
Resource Type
Thesis
Degree Type
Masters Thesis
UNSW Faculty
Files
download public version.pdf 19.13 MB Adobe Portable Document Format
Related dataset(s)