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Bio-inspired surface structures promote optical transmittance and hydrophobicity in cellulose-based films for self-cleaning perovskite solar cells

Tutkimustuotos: LehtiartikkeliArticleScientificvertaisarvioitu

18 Viittaukset (Web of Science)
59 Lataukset (Pure)

Abstrakti

Developing suitable light management layers can improve the lifetime and efficiency of solar cells and other optoelectronics. Here, a bioinspired approach to produce all-biobased films with high anisotropic light scattering and superhydrophobicity is presented as a route toward sustainable light management layers for photovoltaics. The multifunctional films are achieved by replicating leek leaves onto cellulose acetate, producing hierarchical surface structures. The free-standing films show a transmittance of ≈94% and a haze of ≈54% at the wavelength of 550 nm. Moreover, anisotropic advancing contact angles of up to 160° and 156° in cross directions are achieved through tailoring a carnauba wax coating. Using the replica as the light management layer on perovskite solar cells improved the power conversion efficiency by 6 ± 0.3%. Meanwhile, the surface water repellency facilitates self-cleaning, ensuring maximum incident light over time by tackling dirt accumulation. Furthermore, the method can be potentially employed to fabricate substrates from virtually any leaf or patterned surface as the initial replication template.

AlkuperäiskieliEnglanti
Artikkeli88
Sivumäärä10
JulkaisuCommunications Materials
Vuosikerta5
Numero1
DOI - pysyväislinkit
TilaJulkaistu - 30 toukok. 2024
OKM-julkaisutyyppiA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä

Rahoitus

This work was financially supported and part of the Academy of Finland’s Flagship Program under Projects No. 318890 and 318891 (Competence Center for Materials Bioeconomy, FinnCERES). In addition, M.M. acknowledges Fortum and Neste Foundation (Grant No. 20210045) and PREIN flagship project (Grant No. 346529) for generous funding. J.V. acknowledges Academy of Finland project No. 341459. BioEconomy, OtaNano and RaMi infrastructures were employed in this work.

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