Increased Quantum Dot Loading by pH Control Reduces Interfacial Recombination in Quantum-Dot-Sensitized Solar Cells
Katherine E Roelofs1, Steven M Herron1, Stacey F Bent1
1Department of Materials Science and Engineering, ‡Department of Chemistry, and §Department of Chemical Engineering, Stanford University , Stanford, California 94305, United States.
ACS Nano
|August 6, 2015
Summary
Increasing quantum dot (QD) loading in quantum-dot-sensitized solar cells (QDSSCs) enhances efficiency by improving light absorption and reducing recombination. However, larger QDs unexpectedly increase recombination rates.
Area of Science:
- Materials Science
- Photovoltaics
- Nanotechnology
Background:
- Power conversion efficiency in quantum-dot-sensitized solar cells (QDSSCs) depends critically on interfacial charge transfer.
- Higher quantum dot (QD) loading on TiO2 anodes is hypothesized to reduce electron recombination but may increase QD-mediated recombination.
Purpose of the Study:
- To investigate the impact of increased QD loading on QDSSC performance.
- To explore the relationship between QD size and recombination rates.
- To develop a method for enhancing QD loading on TiO2 anodes.
Main Methods:
- Achieved a threefold increase in PbS QD loading by using an aqueous base to modify TiO2 surface charge during deposition.
- Investigated the effects of QD loading and size on QDSSC efficiency, light absorption, and recombination.
- Employed kinetic modeling to analyze interfacial charge transfer dynamics related to QD size.
Main Results:
- Increased QD loading improved QDSSC device efficiencies via enhanced light absorption and reduced recombination.
- Unexpectedly, larger QD sizes led to increased recombination rates.
- Kinetic modeling showed qualitative agreement with experimental observations of recombination lifetimes.
Conclusions:
- A robust method for increasing QD loading on TiO2 anodes was demonstrated.
- The study clarifies the mechanisms by which QD deposition impacts QDSSC performance.
- Findings provide a basis for optimizing QDSSC architecture and material selection.


