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In Depth Analysis of Photovoltaic Performance of Chlorophyll Derivative-Based "All Solid-State" Dye-Sensitized Solar
Michèle Chevrier1,2, Alberto Fattori3, Laurent Lasser4
1ICGM, Univ. Montpellier, CNRS, ENSCM, CC1701, Place Eugène Bataillon, 34095 Montpellier, France.
Molecules (Basel, Switzerland)
|January 18, 2020
Summary
Researchers investigated chlorophyll a derivatives in dye-sensitized solar cells (DSSCs). Key factors influencing power conversion efficiency (PCE) were identified as recombination kinetics, molecular orbitals, and TiO2 adsorption.
Area of Science:
- Materials Science
- Photovoltaics
- Organic Chemistry
Background:
- Dye-sensitized solar cells (DSSCs) are a promising photovoltaic technology.
- Chlorophyll derivatives offer potential as sensitizers in DSSCs.
- Optimizing DSSC performance requires understanding the factors limiting efficiency.
Purpose of the Study:
- To investigate chlorophyll a derivatives as sensitizers in solid-state DSSCs.
- To identify the key parameters limiting the power conversion efficiency (PCE) of these devices.
- To establish structure-property relationships for improved DSSC design.
Main Methods:
- Fabrication of "all solid-state" DSSCs using mesoporous TiO2 electrodes and spirobifluorene hole-transport material.
- Integration of chlorophyll a derivatives as sensitizing dyes.
- Combined experimental (optical, photovoltaic, electron paramagnetic resonance) and theoretical (density functional theory - DFT) studies.
Main Results:
- Modest PCEs ranging from 0.26% to 0.55% were achieved with the studied chlorin dyes.
- Recombination kinetics were identified as a critical factor affecting photovoltaic response.
- Adsorption efficiency onto the TiO2 surface and frontier molecular orbitals significantly influence device performance.
Conclusions:
- The study elucidates the limitations of chlorophyll a derivatives in DSSCs.
- Understanding recombination kinetics, molecular orbitals, and adsorption is crucial for enhancing DSSC efficiency.
- DFT calculations and experimental analyses provide a comprehensive framework for optimizing sensitizer design.

