Lessons learned from device modeling of organic & perovskite solar cells

Vincent Le Corre

Research output: ThesisThesis fully internal (DIV)

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Abstract

Our rising need for energy combined with the realization that we need to drastically reduce our consumption of fossil energy to mitigate climate change, forces us to find better and cleaner ways to produce energy. While the price of solar energy has significantly decreased over the past two decades there is still a long way to go for solar to be a truly important part of our energy production.
To increase the relative proportion of our energy produced with solar we not only need to make more efficient solar panels but also diversify the applications. Organic and perovskite solar cells present advantages for both objectives, they can be used in combination with classical technology in tandem or multi-junction structures to improve their efficiency. They can also be used in a broader range of applications as both technology can be solution-processed, made flexible, semi-transparent and perform well under low light intensity conditions. These characteristics open many doors for the future, where solar energy production will not only be confined to roof-top and solar farms applications but also in a more building-integrated fashion such as semi-transparent solar windows or even used to power internet of things products.
In the work presented in this thesis, we used simulation to gain more insight into the limitations of organic and perovskite solar cells, whether those are due to a poor extraction or significant recombination. We provide guidelines on how to optimize the solar cells and also refined the analysis of known characterization methods to make them adequate for this class of materials studied.
Original languageEnglish
QualificationDoctor of Philosophy
Awarding Institution
  • University of Groningen
Supervisors/Advisors
  • Koster, Jan Anton, Supervisor
  • Loi, Maria, Supervisor
  • Brabec, Christoph Josef, Assessment committee
  • Garnett, E., Assessment committee, External person
  • Pchenitchnikov, Maxim, Assessment committee
Award date26-Mar-2021
Place of Publication[Groningen]
Publisher
DOIs
Publication statusPublished - 2021

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