Data‐Driven Analysis of Transparency–Efficiency Trade–Offs and Indoor Spectral Matching in Perovskite Photovoltaics

Semitransparent and indoor perovskite photovoltaics (PVs) require coordinated control of optical transmission, photocurrent, voltage retention, and spectral response. Here, we quantitatively analyze published Cs‐, Br‐, and Pb‐based device to clarify the transparency–efficiency relationships and indoor spectral‐matching behavior. Visible transmittance ( T VIS ) correlates negatively with power conversion efficiency (PCE; r = −0.89) and short‐circuit current density ( J SC ; r = −0.53), whereas the total bandgap‐referenced voltage deficit, Δ V , exhibits a broad, leverage‐sensitive distribution without a compelling monotonic dependence across T VIS . Δ V is therefore treated as a composite descriptor rather than a direct measure of nonradiative recombination. Devices achieving 12%–16% PCE typically cluster at 20%–40% T VIS , while the only one record above 80% T VIS reports ≈0.5% PCE at T VIS ≈ 85% ( n = 1), precluding definition of a universal high‐transparency boundary. Equal‐illuminance spectral power distribution (SPD) analysis combined with modeled external quantum efficiency (EQE) edges further indicate that absorbers near 1.9−2.1 eV provide greater modeled photocurrent than a 2.30 eV bromide‐rich baselines under common white LEDs. Overall, transparency produced mainly by bandgap widening or uniform absorber thinning compromises indoor photon harvesting. Efficient semitransparent indoor devices should instead retain spectrally matched active absorbers and create transmission through area‐selective or photonic designs while minimizing contact and interface losses.

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Publication Details

Journal
Solar RRL
Published
2026-09-18
DOI
https://doi.org/10.1002/solr.70491
Primary Topic
Perovskite Materials and Applications
Type
article
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article

Data‐Driven Analysis of Transparency–Efficiency Trade–Offs and Indoor Spectral Matching in Perovskite Photovoltaics

Jonghoo Park, GunWoo Kim, Abdulazeez M. Ogunleye
Solar RRL
Perovskite Materials and Applications
article

Data‐Driven Analysis of Transparency–Efficiency Trade–Offs and Indoor Spectral Matching in Perovskite Photovoltaics

Jonghoo Park, GunWoo Kim, Abdulazeez M. Ogunleye
article en

Abstract

Semitransparent and indoor perovskite photovoltaics (PVs) require coordinated control of optical transmission, photocurrent, voltage retention, and spectral response. Here, we quantitatively analyze published Cs‐, Br‐, and Pb‐based device to clarify the transparency–efficiency relationships and indoor spectral‐matching behavior. Visible transmittance ( T VIS ) correlates negatively with power conversion efficiency (PCE; r = −0.89) and short‐circuit current density ( J SC ; r = −0.53), whereas the total bandgap‐referenced voltage deficit, Δ V , exhibits a broad, leverage‐sensitive distribution without a compelling monotonic dependence across T VIS . Δ V is therefore treated as a composite descriptor rather than a direct measure of nonradiative recombination. Devices achieving 12%–16% PCE typically cluster at 20%–40% T VIS , while the only one record above 80% T VIS reports ≈0.5% PCE at T VIS ≈ 85% ( n = 1), precluding definition of a universal high‐transparency boundary. Equal‐illuminance spectral power distribution (SPD) analysis combined with modeled external quantum efficiency (EQE) edges further indicate that absorbers near 1.9−2.1 eV provide greater modeled photocurrent than a 2.30 eV bromide‐rich baselines under common white LEDs. Overall, transparency produced mainly by bandgap widening or uniform absorber thinning compromises indoor photon harvesting. Efficient semitransparent indoor devices should instead retain spectrally matched active absorbers and create transmission through area‐selective or photonic designs while minimizing contact and interface losses.

Solar RRLVol. 10(18)
Kyungpook National University (KR)
Openalex Percentile: Top 20%
Perovskite Materials and Applications
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Data‐Driven Analysis of Transparency–Efficiency Trade–Offs and Indoor Spectral Matching in Perovskite Photovoltaics — Jonghoo Park, GunWoo Kim, et al. · Solar RRL (2026) | TGRS Research Map | TGRS