Journal article 14 views 2 downloads
Underexplored Dimensions of Emerging Indoor Photovoltaics
G. Krishnamurthy Grandhi
,
Bruno Damien,
Zeynab Skafi,
Kezia Sasitharan
,
Hani Kanaan,
Hasan Alkhatib,
Sadok Ben Dkhil,
Matt Carnie
,
Marina Freitag
,
Thomas M. Brown
,
Paola Vivo
ACS Energy Letters
Swansea University Author:
Matt Carnie
-
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© 2026 The Authors. This publication is licensed under CC-BY 4.0 .
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DOI (Published version): 10.1021/acsenergylett.5c03760
Abstract
Indoor photovoltaics (IPVs) can significantly reduce reliance on disposable batteries in Internet of Things (IoT) devices. Yet, most evaluations use idealized lighting setups and single performance metrics, neglecting the influence of real indoor environments on device performance. This Perspective...
| Published in: | ACS Energy Letters |
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| ISSN: | 2380-8195 2380-8195 |
| Published: |
American Chemical Society (ACS)
2026
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| Online Access: |
Check full text
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa71496 |
| Abstract: |
Indoor photovoltaics (IPVs) can significantly reduce reliance on disposable batteries in Internet of Things (IoT) devices. Yet, most evaluations use idealized lighting setups and single performance metrics, neglecting the influence of real indoor environments on device performance. This Perspective advances a deployment-centered approach: (i) realistic testing under mixed or hybrid lighting (daylight + artificial); (ii) intelligent integration that aligns absorber bandgap, series-connected cells, geometric fill factor, and power management integrated circuits with workloads and duty cycles; and (iii) IoT-ready stability assessed under the same realistic indoor scenes and light/dark sequences. We propose a compact field-to-lab pipeline, translate it into voltage-matching design rules, and use photon-to-compute metrics to link harvested power to on-device sensing and learning. The goal is low-maintenance, battery-free nodes that scale reliably in buildings, logistics, and wearable applications─ultimately cutting electronic waste. |
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| Item Description: |
Perspective |
| College: |
Faculty of Science and Engineering |
| Funders: |
G.K.G. and P.V. thank the European Union’s Horizon Europe research and innovation programme under the Marie Skłodowska-Curie Grant Agreement No. 101169056. This work is part of the Research Council of Finland Flagship Programme, Photonics Research and Innovation (PREIN), decision number 346511. P.V. thanks the Research Council of Finland, Decision No. 347772. Z.S. and T.M.B. acknowledge financial support from the Italian Ministry of University and Research (MUR) through the PRIN2022 PNRR INPOWER (project no. P2022PXS5S) and PRIN2022 REPLACE (project no. 2022C4YNP8) grants. K.S. thanks the Leverhulme Trust for a Leverhulme Early Career Fellowship (ECF-2024-398). |

