Printed Organic Photovoltaic Modules on Transferable Ultra‐thin Substrates as Additive Power Sources
Name
Small Methods - 2022 - Saravanapavanantham - Printed Organic Photovoltaic Modules on Transferable Ultra‐thin Substrates as.pdf
Description
Published version
Size
1.47 MB
Format
Adobe PDF
Checksum (MD5)
a0b432962222a763627020860171b812
Author(s)
Saravanapavanantham, Mayuran
Mwaura, Jeremiah
Bulović, Vladimir
Date Issued
January 2023
Journal
Small Methods
Publisher
Wiley
Citation
Saravanapavanantham, Mayuran, Mwaura, Jeremiah and Bulović, Vladimir. 2023. "Printed Organic Photovoltaic Modules on Transferable Ultra‐thin Substrates as Additive Power Sources." Small Methods, 7 (1).
Version
Final published version
Abstract
Thin-film photovoltaics with functional components on the order of a few microns, present an avenue toward realizing additive power onto any surface of interest without excessive addition in weight and topography. To date, demonstrations of such ultra-thin photovoltaics have been limited to small-scale devices, often prepared on glass carrier substrates with only a few layers solution-processed. We demonstrate large-area, ultra-thin organic photovoltaic (PV) modules produced with scalable solution-based printing processes for all layers. We further demonstrate their transfer onto light-weight and high-strength composite fabrics, resulting in durable fabric-PV systems ∼50 microns thin, weighing under 1 gram over the module area (corresponding to an area density of 105 g m-2 ), and having a specific power of 370 W kg-1 . Integration of the ultra-thin modules onto composite fabrics lends mechanical resilience to allow these fabric-PV systems to maintain their performance even after 500 roll-up cycles. This approach to decouple the manufacturing and integration of photovoltaics enables new opportunities in ubiquitous energy generation.
MIT Department
Massachusetts Institute of Technology. Research Laboratory of Electronics
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Creative Commons Attribution-NonCommercial-NoDerivs License
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1002/smtd.202200940
