Low-temperature strain-free encapsulation for perovskite solar cells and modules passing multifaceted accelerated ageing tests.
Paolo MarianiMiguel Ángel Molina-GarcíaJessica BarichelloMarilena Isabella ZappiaErica MaglianoLuigi Angelo CastriottaLuca GabatelSanjay Balkrishna ThoratAntonio Esaú Del Rio CastilloFilippo DragoEnrico LeonardiSara PescetelliLuigi VesceFrancesco Di GiacomoFabio MatteocciAntonio AgrestiNicole De GiorgiSebastiano BellaniAldo Di CarloFrancesco BonaccorsoPublished in: Nature communications (2024)
Perovskite solar cells promise to be part of the future portfolio of photovoltaic technologies, but their instability is slow down their commercialization. Major stability assessments have been recently achieved but reliable accelerated ageing tests on beyond small-area cells are still poor. Here, we report an industrial encapsulation process based on the lamination of highly viscoelastic semi-solid/highly viscous liquid adhesive atop the perovskite solar cells and modules. Our encapsulant reduces the thermomechanical stresses at the encapsulant/rear electrode interface. The addition of thermally conductive two-dimensional hexagonal boron nitride into the polymeric matrix improves the barrier and thermal management properties of the encapsulant. Without any edge sealant, encapsulated devices withstood multifaceted accelerated ageing tests, retaining >80% of their initial efficiency. Our encapsulation is applicable to the most established cell configurations (direct/inverted, mesoscopic/planar), even with temperature-sensitive materials, and extended to semi-transparent cells for building-integrated photovoltaics and Internet of Things systems.
Keyphrases
- perovskite solar cells
- induced apoptosis
- cell cycle arrest
- endoplasmic reticulum stress
- drug delivery
- reduced graphene oxide
- wastewater treatment
- heavy metals
- stem cells
- machine learning
- healthcare
- high resolution
- deep learning
- atomic force microscopy
- pi k akt
- artificial intelligence
- gold nanoparticles
- mesenchymal stem cells
- health information
- big data
- mass spectrometry