Accelerating the OPV technology roadmap
Christoph Brabec a
a Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
Materials for Sustainable Development Conference (MATSUS)
Proceedings of nanoGe Fall Meeting 2021 (NFM21)
#NewOPV21. Advances in Organic Photovoltaics
Online, Spain, 2021 October 18th - 22nd
Organizers: Uli Würfel and Jörg Ackermann
Invited Speaker, Christoph Brabec, presentation 131
DOI: https://doi.org/10.29363/nanoge.nfm.2021.131
Publication date: 23rd September 2021

OPV modules have a proven record efficiency of 12.6 % but a typical product efficiency of 5 – 7%. The first generation of OPV modules showed lifetimes of 5 - 10 years under outdoor conditions and product costs have come down from 10 €/Wp and are currently moving towards the 1 €/Wp regime. Forecasts anticipating the OPV technology at the GW level are predicting costs as low as 5 €ct/Wp [1].  This is the reason why organic modules were designed from the beginning of their product history to complement the classical PV portfolio. Applications such as power plants or roof top integration are of little relevance for OPV as long as the technology is still under development. Therefore, applications that are difficult to access for classical photovoltaic technologies are of high relevance. These make use of product properties such as transparency, integrability in surfaces, good indoor performance as well as high flexibility and low weight, but also flexible or digital production processes that allow the economic production of small production quantities or single-lot special designs. In summary, a central element of the OPV product is the design of flexible, colourful and semi-transparent products, which can be integrated into existing structures and fulfil requirements to operate applications with power requirements reaching from µWs up to MWs.

A significant improvement in operational stability would issue the most significant acceleration of OPV as a technology platform. Understanding lifetime limiting mechanisms in OPV is still at the beginning and is dominantly lacking reliable methods to uniquely identify degradation mechanisms within shortest time. Frist concepts to predict operational stability based on machine learning (ML) will be introduced in the 2nd part of the talk.

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